Masters Programs in Computer Science

Compare 180 Masters Programs in Computer Science

Computer Science

If you are interested in Computer Science and have a bachelor’s degree in this field that you are not sure exactly what to do with, then we suggest you take your education one step further to develop better career opportunities and increase your knowledge in the field. A Master in Computer Science is a great option.

A Master in Computer Science can open doors to many new and exciting jobs. A career in Computer Science means that you can design and analyze new computer systems, study robotics and even research artificial intelligence. These are all areas of study that students can experience with a Master in Computer Science.

Here you can find Master in Computer Science programs. This page has programs in the field from several countries. You can choose between such programs as Cyber Security, Government Information Technology and even Color Science. Pick the Master in Computer Science program of your liking and begin your path to technological enlightenment today!

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Master in Data Science

Bologna Business School
Campus Full time 12 months December 2017 Italy Bologna

The Master in Data Science is designed for recent graduates interested in management and data analysis and who would like to take on a role which is central to any business and its value creation. A Data Scientist has already become one of the most sought-after specialists in the professional world. [+]

Masters in Computer Science. The Master in Data Science is designed for recent graduates interested in management and data analysis and who would like to take on a role which is central to any business and its value creation. A Data Scientist has already become one of the most sought-after specialists in the professional world. The data business is becoming a key sector for the European economy, the development of products and services based on data and the analysis of data collected in companies, public entities or that are available on social networks. The aim being to obtain operational indications and to identify new business opportunities. Big Data is a big challenge of today’s world, but we are training professionals to understand and create value from this complex information. Companies, in fact, have both a need and an urgency to manage the acquisition, presentation, sharing, analysis and visualization of data. Data Scientist is defined by the Economist as “the most interesting job of the twenty-first century, combining the skills of an IT technician, statistician and storyteller to extract the golden nuggets hidden under the mountains of data.” The Master in Data Science offers 3 different types of skills: solid computer training, an understanding of the technological aspects and knowledge of business dynamics. This Master creates professionals with across-the-board skills who are able to integrate with the company’s management. The program concludes with a Field Laboratory Work and a company internship. THE MASTER IS AN INVESTMENT. THE HONOR LOAN IS THE WAY TO FUND IT. “PerTe Prestito Con Lode”, a long-term and low-interest honor loan, with no collateral required to cover the full amount of the tuition fee. STRUCTURE The Master in Data Science is a full-time program structured in 1,500 hours of learning activities over 12 months of study, divided into: 360 hours of lecturing, an estimated 540 hours of independent study, and 600 hours of internship. The structure of the Master is divided into two terms: First term: December 2017 – April 2018 Second term: April 2018 – July 2018 Internship: September 2018 – December 2018 The Master offers a series of pre-courses at the start of the academic schedule: Software programming (Python), the foundations of data and SQL, basics in descriptive and inferential statistics, explorative data analysis and the fundamentals of economics. Classroom participation is about 30 hours per week structured in order to allow time to work in groups, while not neglecting individual students focus and management of interpersonal relationships. LEARNING METHOD The educational sessions provide different learning methods, including lectures, simulations, discussions of case studies and presentations by companies, testimonials, and group work. The curriculum is completed with master lectures held by professionals from the worlds of business, academia and politics, with opportunities for discussion and interaction with the business world through case histories. CAREER DEVELOPMENT Building synergies with businesses is a priority and a distinguishing characteristic of all programs of Bologna Business School, including the Master in Data Science. The School is fully dedicated to preparing students for the job market and it accomplishes this through systematic career development, with an ongoing commitment to combine the best professional projects by students with the demands of businesses. The internship is an excellent springboard to the professional world, evidenced by the fact that six months after completing the full-time master at Bologna Business School, an average of 85% of alumni are working in a company. [-]

Master in Computer Science

Campus Full time 2 years Open Enrollment Spain Barcelona

The Master Degree Program in Computer Science </strong> is designed for those who desire to deepen their comprehension of all aspects of the computer sciences. Applicants could be graduates from other degrees with a strong mathematical core, or those continuing their academic pursuit after achieving a Bachelor of Science in Computer Science. [+]

This program is taught in ENGLISH. The Master Degree Program in Computer Science is designed for those who desire to deepen their comprehension of all aspects of the computer sciences. Applicants could be graduates from other degrees with a strong mathematical core, or those continuing their academic pursuit after achieving a Bachelor of Science in Computer Science. PROGRAM STRUCTURE 1 Year Students who begin the Master in Computer Science Degree already have a good foundation in programming and mathematics including data structures and algorithms, statistics and machine learning. During the first year their knowledge of mathematics, programming and data analysis will be significantly extended. The program also offers opportunity to learn the key soft skills for the professional world including technical project management, writing and presenting.First year students are expected to attend many of the talks and workshops offered by the university and being work on the capstone project. Modules Combinatorics and Graph Theory Graduate Algorithms and Data Structures Graduate Algebra Graduate Mathematical Logic Theory of Probability Mathematical Statistics Сomplexity Theory Object-Oriented Programming (C++) Python Practical Unix Java Programming Functional Programming Operating Systems Advanced Databases Networks Robotics Master's Machine Learning Statistical Data Analysis BIoinformatics Data Mining Technical Writing and Presenting Technical Project Management Leadership and Group Dynamics Introduction to Interaction Design Capstone Project-1 Seminars & Workshops-1 2 Year During the second year of the program students will primarily focus on learning key applications of the computer science as well as advanced methods in programming. A significant part of the year will be allocated to the completion of the capstone project Modules Automata Theory, Languages, and Computation Information Theory Discrete Optimization Nonlinear Optimization Cryptography Computational Geometry Parallel and Disrtibuted Computing Virtualization and Java VM Software Engineering Software Design Software Testing, Verification and Validation Compilers Big Data Analysis Data Visuailzation Mobile Application Development Computer Graphics Computer Vision Algorithms in Bioinformatics Spectral Graph Analysis and Data Science Applications Writing, Documentation, TeX, JavaDoc Information Technology Management Capstone Project-2 Seminars & Workshops-2 MATH AS A SECOND LANGUAGE (MSL) A Harbour.Space major requirement for all students in tech is a very good level of math. Anyone who lacks the strong math foundation they need for a career in tech, but is eager to learn has a home in our foundation course (link). Students acquire all the basic tools they need to continue studies in Computer Science, data Science or Cyber Security. Graduating from MSL means opening the doors to apply for a place at Harbour.Space University and any other top-rate tech university in the world. Programme Leadership Alexander OmelchenkoDr.Sci, PhD, Computer Science, Department Chair, St.Petersburg Academic University Career Path Software Engineer Systems Architect Director of Development Chief Technology Officer LIVING IN BARCELONA Studying in Barcelona has the following advantages: Barcelona is #1 in Europe for quality of life and clearness of environment (2012 Quality of Life City Rankings – Mercer Survey) Barcelona is #1 in the world for the level of infrastructure and urban development (2011, Ernst & Young). The region of Catalonia, where Barcelona is the capital, contributes significantly to the Spanish GDP. The growth of Catalonia’s GDP is currently 3.3%, much higher than in Europe on average. Catalonia’s exports are €42.2 billion, higher than in any other region of Spain. 7,000+ innovation and technological companies during the last 10 years. Barcelona is 6th in Europe for attractiveness and comfort for doing business (European Attractiveness Survey 2011, Ernst & Young), Barcelona is 2nd in Europe (after London) for being promoted as a business center (European Cities Monitor 2011); Barcelona is 2nd in the world for hosting different international conferences and congresses (City and Country World Report 2011, ICCA ). Barcelona is the host of the annual World Mobile Congress, which attracts thousands of international companies that work in the mobile industry. 7,000,000 + millions of tourists / year 20° C - average temperature during the day 2437 hours of sunshine/ year Cost of living 550 euro / month [-]

Master in Discrete Models and Algorithms

Charles University Faculty of Mathematics and Physics
Campus Full time 2 years October 2017 Czech Republic Prague

Study plans Discrete mathematics and combinatorial optimization and Mathematical structures in computer science provide advanced knowledge in the fields of applied mathematics and computer science. An emphasize is put on up-to-date theoretical and applied questions in the area. [+]

Masters in Computer Science. Study plans Discrete mathematics and combinatorial optimization and Mathematical structures in computer science provide advanced knowledge in the fields of applied mathematics and computer science. An emphasize is put on up-to-date theoretical and applied questions in the area. Study plans Optimization and Mathematical economics provide skills to solve difficult technical and economical problems with the use of optimization methods and suitable methods in mathematical economy. Entrance examination – Master's programme Applicants who will not sufficiently demonstrate the necessary background listed above by 9 May 2016, or with their application, will be invited to take the entrance examination in Prague. The entrance examination for a Master's programme at the Faculty of Mathematics and Physics at Charles University consists of four problems, each worth 25 points. In case of an incomplete solution a proportional number of points will be given. The maximum total score is 100. The minimum score for admission is 40 points out of 100. Depending on the study programme and study branch, the examination has the following structure: Master of Computer Science. All study branches: Computer Science (4 problems, e.g., logic, automata theory, programming, theoretical computer Master’s Entry Requirements The goal of the admissions review process is to select from the pool of applicants those individuals who have shown the best capability and diligence expected of Charles University students. To apply for our Mathematics or Computer Science Master's programmes delivered in English you must: - hold or be working towards a Bachelor’s or Master’s diploma and provide a certified copy thereof; in cases required by law, a certification of equivalence of education must accompany the application, - have sufficient academic background in the relevant fields (see below for details); this can be demonstrated by passing the specialized entrance examination in June 2016 in Prague that is organized by the Faculty of Mathematics and Physics, Charles University, or by providing transcripts (academic records) of your previous education accompanied by syllabi of the completed courses; promising students who do not have this background may be admitted with the provision that they complete the missing knowledge from Bachelor's courses, - have sufficient command of the English language; this can be demonstrated by providing your results in one of the standardized English tests that we recognize. You are also welcome to accompany your application by - a statement of purpose in which you describe your reasons for applying to the proposed programme, your study and possibly also research interests and future career plans, - letters of recommendation as recent as possible from professors and employers who can comment on your recent professional accomplishments and your qualifications for pursuing a Master's degree in mathematics or computer science. English Language Proficiency All applicants must have an adequate command of English in order to enrol at Charles University. An applicant’s proficiency level in English may be demonstrated by various language tests; any language test results should not be older than two years. The only exemption from this requirement is for students who have completed at least two years of their previous education with English as the sole language of instruction in one of the following countries: Australia, Canada, Ireland, New Zealand, UK, or USA. The table below summarizes the minimum requirements in the various tests of English that we recognize; you must meet the minimum score for at least one of the tests listed here, or provide us comparable results for other recognized qualifications (if in doubt please contact us to obtain specific required scores for other internationally recognized English Language qualifications). Test Minimum score TOEFL Paper / Computer / Internet based - 550 / 213 / 80 SAT Critical Reading and Writing - 550 in each part ACT English and Reading - 24 International Baccalaureate English - 6 The International English Language Testing System (IELTS) - 6.5 Cambridge ESOL FCE A level Cambridge ESOL CPE, or Cambridge ESOL CAE - Passed City&Guilds International ESOL, or City&Guilds International Spoken ESOL - Expert level The European Language Certificates - Level TELC English C1 UNIcert English for Mathematicians - Level C1 Melab - 77 Examination for the Certificate of Proficiency in English (ECPE) - Pass Test of English for International Communication (TOEIC) - 605 Vancouver English Centre (VEC) level / online score - 13-14 / 74 General State Language Examination in English in the Czech Republic - Pass Conditions for admission without entrance examination Academic background In this paragraph we summarize the minimum knowledge required for applicants in the various study programmes and study branches offered at our faculty. Master of Computer Science: background in calculus, linear algebra, discrete mathematics, probability, logic, computer programming, algorithms and data structures, computer organization, and the theory of automata and formal grammars. Information on the exercise of graduates Graduates have a broad range of possibilities to work in areas connected with applied mathematics and computer science. Graduates are able to solve complicated technical and economical decision problems. Solutions of these problems are based on methods of mathematical optimization and on methods solving conflict situations. Deep knowledge of modern mathematical methods enables the graduate to design mathematical models in complicated economical situations. Education in computer science provides skills to implement effectively the solutions with the use of fast computers. [-]

Degree 3iL Computer Engineer Cycle In 3 Years

3IL Groupe
Campus 3 years September 2017 France Limoges

The 3iL Cycle Engineering is accredited by the CTI, the French Engineers Securities Commission, which guarantees the quality of the program and its relevance to business needs. The 3iL engineer training is resolutely turned towards the trades of computer and connected world. It follows the requirements of the CTI by offering his teachings in 3 major areas: Science, Computer Science and Humanities. [+]

The 3iL Cycle Engineering is accredited by the CTI, the French Engineers Securities Commission, which guarantees the quality of the program and its relevance to business needs. The 3iL engineer training is resolutely turned towards the trades of computer and connected world. It follows the requirements of the CTI by offering his teachings in 3 major areas: Science, Computer Science and Humanities A scientific program of top flight: Mathematics signal - Linear programming - Electricity - Electronics - Probability and Statistics - Numerical Analysis - Signal Processing - Graph Theory - Propagation / Modulation - Modeling / Analysis A general computer program to scan a maximum of issues: Computer Architecture - Base System - Object-oriented programming - ACSI Project - Development of Information Systems - Databases - Networks: standards and protocols Object-Oriented Analysis - Databases - Web Development - Networking: Computer security implementation - Language C - Unix - system programming Training to become an operational manager in business Project Management - Communication - English - Economic and financial management - International Culture - Marketing / Customer Listening - Research and technology watch - Meeting management - Engineering Career - Quality - Right deepening options (2 choice) that meet the challenges of today and tomorrow: Cyber ​​security Innovation / Entrepreneurship Web and Mobile Technologies Robotics and Embedded Systems video games / Virtual Reality (English) E-health Graphics Interfaces development Java professional visual and 3D interfaces networking solutions A course under the sign of IT project: two complex IT projects to a hundred hours each and mobilizing a dozen students line the route 3iL engineer. Computer courses: minimum 10 months A mandatory international mobility 3 to 6 months The 3iL Engineering cycle takes its originality and its strength in the prospects it offers throughout the curriculum: Validating a License dual degree in Computer 3 Validation of a double diploma in France or abroad (Management, Video Games, Software Engineering etc.) - Master Grade 2 Validation of a double degree Research with the University of Limoges (Grade M2) and possibility of achieving a doctorate Opportunity to enjoy 32 international partnership agreements A strong connection with sector companies that sponsor students and intervene at the heart of the teachings Start Date: September 2017 Price: € 5,700 / year [-]

MicroMasters Program in Artificial Intelligence (Columbia University)

edX MicroMasters Programs
Online Full time Part time 48 weeks January 2017 USA Cambridge + 1 more

Earn a MicroMasters in Artificial Intelligence from Columbia University to launch your career in computer science and design the future. [+]

Masters in Computer Science. Average Length: 12 weeks per course Effort: 8-10 hours per week, per course Number Of Courses: 4 Courses in Program Subject: Engineering, Computer Science, Physics Institution: Columbia University Institution Offering Credit: Columbia University Language: English Video Transcripts: English Price (USD): $300 per course Earn a MicroMasters in Artificial Intelligence from Columbia University to launch your career in computer science and design the future. Gain expertise in one of the most fascinating and fastest growing areas of computer science through an innovative online program that covers fascinating and compelling topics in the field of Artificial Intelligence and its applications. This MicroMasters Program from Columbia University will give you a rigorous, advanced, professional, graduate-level foundation in Artificial Intelligence. The program represents 25% of the coursework toward a Masters degree in Computer Science at Columbia. Job Outlook Though Artificial Intelligence is one of the fastest-growing areas for high-tech professionals, there are too few qualified engineers, according to a recent Kiplinger report. Robotics and artificial intelligence will impact wide segments of daily life by 2025, with huge implications for a range of industries such as health care, transport and logistics, customer service, and home maintenance. (Pew Internet) The need for AI specialists exists in just about every field as companies seek to give computers the ability to think, learn, and adapt. (IEEE) Exciting and rewarding career opportunities as a Machine Learning Software Engineer, Deep Learning Specialist, Data Scientist, Automation Engineer, 3D Artist, Computer Vision Engineer, and many more! What You'll Learn: Solid understanding of the guiding principles of AI. Apply concepts of machine learning to real life problems and applications. Design and harness the power of Neural Networks. Broad applications of AI in fields of robotics, vision and physical simulation. MicroMasters Program Details How To Earn The MicroMasters Credential Complete, pass and earn a Verified Certificate in all four courses to receive your MicroMasters Credential. Learners who successfully earn the MicroMasters Credential are eligible to apply to the Master of Computer Science program at Columbia University. Take your Credential to the Next Level If a student applies to the Master of Computer Science program at Columbia and is accepted, the MicroMasters Credential will count toward 25% of the coursework required for graduation in the on campus program. Courses Artificial Intelligence (AI) Learn the fundamentals of Artificial Intelligence (AI), and apply them. Machine Learning Master the essentials of machine learning and algorithms to help improve learning from data without human intervention. Animation and CGI Motion Learn the science behind movie animation from the Director of Columbia’s Computer Graphics Group. Robotics Learn the core techniques for representing robots that perform physical tasks in the real world. What is a MicroMasters Program? Developed to advance a career and born from Master's programs of leading universities, MicroMasters programs are a series of higher-level courses recognized by companies for real job relevancy, and may accelerate a Master's degree. [-]

Master in Informatics, Electronics and Radio Engineering

National Research University
Campus Full time 2 years September 2017 Russia Moscow

National Research University “Moscow Power Engineering Institute” provides Master Degree in Informatics, Electronics and Radio Engineering according to Russian State Educational [+]

National Research University “Moscow Power Engineering Institute” provides Master Degree in Informatics, Electronics and Radio Engineering according to Russian State Educational Standard in the following directions: - Applied Mathematics and Informatics - Informatics and Computer Engineering - Control in Engineering Systems - Instrumentation - Electronics and Nano-Electronics - Radio Engineering WHY SHOULD YOU CHOOSE MPEI MPEI students have a chance to study at one of the most prestigious universities of Russia according to numerous rankings and surveys. For more than eighty years of history MPEI have trained a huge number of the qualified engineers, prominent scientists who were standing at the origins of many technical achievements, in particular, of laser creation. At MPEI the Nobel Prize winners A.D. Sakharov and P.A. Cherenkov worked in different periods. In the 20th century in the Special Design Bureau of MPEI, which possesses its own Center of Deep Space Communication, radio images of the Venus surface and a reverse side of the Moon were obtained for the first time. Among the most famous graduates of MPEI there are the ex-Chairman of the State Council of China Li Peng and the ex-President of Romania Ion Iliescu, Ministers of Engineering and heads of the engineering companies of many countries of the world. MPEI partners in science and education include about 140 foreign universities, and such well-known companies like ABB, Siemens, Schneider Electric, EPRI, Skoda, Samsung and others. Getting the unique training in any chosen field, MPEI graduates never have problems with subsequent employment and realize themselves in any chosen spheres. LANGUAGE OF EDUCATION Training in the field of Informatics and Computer Engineering is organized in English Medium. Training in the other fields is organized in Russian language. Those students who need to learn Russian are invited to MPEI Preliminary course which provides training of Russian language during 1 academic year. ACCOMMODATION CONDITIONS MPEI foreign students are provided with accommodation in MPEI hostel. The hostel under security surveillance has two-room blocks with a bathroom and a toilet in each block. Rooms are for two or three persons. There are also hostels of corridor type with double rooms. Rooms are equipped with furniture, bed linen is also included. On each floor of a hostel there is a common kitchen and a restroom. Internet connection can be provided for additional fee. In MPEI campus there are additional services like laundry, shops, repair offices, post-office, cultural centers, cafes and restaurants, etc. Accommodation fee is about 100 USD per month. INSURANCE All foreign students must have medical insurance for the whole period of education. MPEI works with insurance company which provides the most comprehensive insurance at a rate of 200 USD per year. [-]

Master in Mobile Technologies and Smart Cities (MMTSC)

Universidad Politécnica de Cartagena
Campus Full time 15 months February 2017 Spain Murcia

MMTSC is a Master Degree that allows students acquiring the knowledge, skills and abilities necessary to engage the technological challenges associated to Mobile Technologies for Smart Cities. The MMTSC includes courses on Broadband Wireless Standards and Technologies, Smart Cities Technologies & Data Management, Big & Open DATA, IoT (Internet of Things), Urban Informatics, Adaptive Cities, Intelligent Transport, Data Security, Entrepreneurship in high-risk fast-changing technology areas, mobile app development, operation and management of new digital networks, novel sensors, actuators and gadgets… and much more. The students will explore the role of technology and data in cities, and they will learn how to participate in the creation of smart cities. [+]

Masters in Computer Science. MMTSC is a Master Degree that allows students acquiring the knowledge, skills and abilities necessary to engage the technological challenges associated to Mobile Technologies for Smart Cities. The MMTSC includes courses on Broadband Wireless Standards and Technologies, Smart Cities Technologies & Data Management, Big & Open DATA, IoT (Internet of Things), Urban Informatics, Adaptive Cities, Intelligent Transport, Data Security, Entrepreneurship in high-risk fast-changing technology areas, mobile app development, operation and management of new digital networks, novel sensors, actuators and gadgets… and much more. The students will explore the role of technology and data in cities, and they will learn how to participate in the creation of smart cities. UPCT University also accommodate several “Cátedras”, “spin-offs”, “Cloud Incubator HUB”, which have produced long-term stablished collaborative agreements between our University and the most prestigious companies in the field of Mobile Technologies and Smart Cities. The students of the MMCST will have the opportunity to work together with the principal companies in the national and international sector of Engineering, and take advantage of the enormous opportunities of this experience. For sure a MMCST at UPCT will provide a wonderful “springboard” to promote your career and vocation, and introduce you to Europe’s, North America’s, Latin America’s, and North Africa’s high-quality job market. The telecommunications engineering profession is characterised by its ability to adapt to this increasingly technological and dynamic society. Today, telecommunications engineering is present not only in the Information and Communication Technologies sector, but also in many other sectors such as industrial, banking, motor, agricultural, health, consultancy, etc., which means a highly promising future for its professionals. Graduates who have studied at the ETSIT of the UPCT (Universidad Politécnica de Cartagena) are adequately prepared to work in public or private, large or small service contract companies in the areas of design, installation, maintenance and operation of networks and cable and fibre optic communication systems (television, Internet, etc.) or wireless (mobile communications, WiFi, WiMAX, TDT, sensor networks, etc.). They also carry out an important function in service provision companies (mobile and cable operators) and companies dedicated to the manufacture and supply of equipment such as antennae, mobiles, digital television or radio, satellites, etc. Moreover, these engineers have a wide range of opportunity in Public Administration technical bodies and management consultancies, in entrepreneurship, R&D&I and in the independent practice of the profession. In just 10 years, 8 research groups have carried out 76 research projects, with funding of over 5.3 million euros; undertaken more than 50 R&D contracts worth over 1.5 million euros; published hundreds of articles and papers on national and international conferences; and have defended more than 40 Doctoral Theses in the field of ITCs with significant social impact. The ETSIT headquarters are located in the restored 18th-century Antigones Building, which has a total surface area of 1,800 m2 dedicated exclusively to teaching classrooms, with a capacity for 1,305 students. Classroom equipment includes interactive digital blackboards, traditional blackboards, overhead projectors, a public address system (wireless microphones and speakers), multimedia desks, and Internet access. In addition to these, the School and its departments provide teachers with other audiovisual resources such as tablet PCs, slide projectors, a television/video, laptops, and video projectors. Our facilities boast 1,500 m2 of teaching laboratories fitted out with state-of-the-art equipment, and 300 m2 dedicated to computer rooms. In addition to the teaching laboratories, 500 m2 of basement space is dedicated to R&D&I laboratories. The ETSIT currently has over 700 students distributed among the various degree courses. The percentage of male and female students is 80% and 20% respectively. Over its 10 years of existence, more than 600 students have graduated (321 in Telecommunications Engineering and 287 in Technical Telecommunications Engineering, specialising in Telematics). According to the PESIT VI report (Socio-Professional Studies on Telecommunications Engineers) of the Official College of Telecommunications Engineers, 100% of current telecommunications engineers and technical telecommunications engineers were employed within a year of completing their studies. There are over 80 teachers in 10 different departments working at the ETSIT. Of these, 80% are Doctors. The employment status of available teaching staff reflects this situation, where 50% of the teaching and research staff are career civil servants, 19.5% have an indefinite employment contract, and 30.5% have a teaching or administrative contract. Some 65% of teaching staff have more than 10 years´ teaching experience and over 70% have at least 6 years´ recognised research work. Along with teaching, research is one of the cornerstones of the University. The majority of ETSIT teachers carry out intense research activity. These teachers form part of different Research Groups related to telematics engineering, electromagnetism applied to telecommunications, signal processing, mobile communications, radio communications and astrophysics. Entry Requirements and Fee Entry Requirements Students interested in attending the Master in Mobile Technologies and Smart Cities should have a Bachelor degree with knowledge on some of the following topics: telecommunications, electrical engineering or computer sciences. Pre-selected applicants are required to pass a preliminary test. Fees for International Students Fees for international Students are €14.000,00. Eligible students may be entitled to a €2.000,00 scholarship. Enrolment process Application Process for the MMTSC at UPCT Documentation to be submitted: Valid Passport Certificate obtained in your home country in which it is stated that your completed studies allow you to access Master studies Full transcript of records in which the following data is shown: Official duration of the degree (in academic years) Subjects taken Workload of those subjects (in hours) Grades of those subjects – explain percentage Certificate from the home University (or competent authority) in which it is accredited that you have access to Master Studies Note: Please remember that all documents need to be official and need to be issued by the competent authorities. Also, they need to be legalised, so an Apostille Stamp (see below for more information) is mandatory. Documents must be submitted in Spanish OR English. Should the original documents be translated into Spanish, the translation will have to be official. [-]

Master of Applied Computer Science

Saint Xavier University
Campus Full time September 2017 USA Chicago

The Master of Applied Computer Science (MACS) program is designed to further students' understanding of the computing technologies shaping our world today. [+]

Master of Applied Computer Science The Master of Applied Computer Science (MACS) program is designed to further students' understanding of the computing technologies shaping our world today and to prepare students for sustaining a life-long contribution to a technology-related career. The MACS program provides students with a theoretical and practical understanding of important areas in the computing field. This program may be completed in two semesters by completing 16 credit hours each semester, or in three to four semesters by spreading the courses over a longer period. A Master of Business Administration (MBA) degree may be completed by taking an additional 24 graduate credit hours from the Graham School of Management, which can be completed in one additional year. Five-Year Option Get a bachelor's and master's degree in just five years! The Department of Computer Science is excited to announce this new option for all incoming freshmen. You can... Complete the requirements for the Bachelor of Science (Computer Science) or Bachelor of Arts (Computer Studies) and in the fourth year take two graduate level courses in computing that will count for eight hours towards the general electives in your bachelor’s degree and also eight hours towards your master’s degree. In the fifth year, you take 24 hours (six courses) of graduate courses to complete the master’s degree. You may also delay graduating with the bachelor’s degree until the end of the fifth year, and then graduate with both the master’s and bachelor’s degrees at the same time. This is an advantage because although you will be taking graduate courses, SXU will consider you to be an undergraduate and not only charge you undergraduate tuition but also allow you to use your financial aid package in the fifth year. However, since every student’s situation is different, you should check with the Financial Aid Office before making this decision. Entrance Requirements The MACS program is designed for students with a bachelor's degree in computer science or a related field. However, a student with a non-computer-related degree may substitute relevant work experience as a prerequisite for entry into the program. College graduates who have not worked or studied in a computing field may become eligible for the program by addressing their deficiencies, either by taking courses at Saint Xavier University prior to their enrollment in the program (a conditional acceptance will be considered) or by providing documentation that they have completed similar courses at another institution. Students wishing to pursue this option should consult with the program director. Students with no experience in programming will be required to gain proficiency in one programming language (for example, Visual Basic, C, Java or C++) prior to acceptance into the program. In some cases a student may be required to complete an introductory computing course. Please contact the program director for advice on fulfilling these requirements. Program Requirements The master of applied computer science degree requires 32 credit hours of graduate course work consisting of at least 20 credit hours at the 500-level and at most 12 credit hours at the 400-level. Required Courses (20 credit hours from the Following, including ACSG-599): ACSG 520: TCP/IP Architecture and Protocols (4) ACSG 540: Programming Languages for the Web (4) ACSG 561: Systems Analysis and Design (4) ACSG 570: Computer Systems Security (4) ACSG 591: Special Topics (4) ACSG 599: Graduate Capstone Course (1-4) Elective Courses (Select 12 credit hours from the following): ACSG 400: Current and Future Trends of the Internet (4) ACSG 405: Project Management for Information Technology (4) ACSG 425: Data Communications and Wireless Networking (4) ACSG 430: Mobile Applications (4) ACSG 435: Cloud Computing (4) ACSG 450: Digital Forensics (4) ACSG 452: Advanced Database Topics (4) ACSG 455: Open Source Software (4) ACSG 460: Special Topics (4) ACSG 465: Usability and Design (4) ACSG 545: Software Engineering (4) ACSG 575: Information Ethics (4) ACSG 592: Independent Study (1-4) ACSG 593: Directed Study (1-4) ACSG 594: Internship (varies) Application Requirements Below are the requirements for the master of applied computer science program: 1. A completed application form (PDF). 2. Official transcript(s) sent directly from the registrar of the accredited baccalaureate degree-granting college/university and all graduate level coursework. 3. A non-refundable $35 application fee, unless applying online. 4. Personal statement. In approximately 300 words, please address (1) your personal career goals, (2) how you developed an interest in computer technology and the Internet, (3) your computer background and proficiency, (4) how this program fits into your goals, (5) what skills and experience you bring to the program, and (6) what are your needs and expectations of the master of applied computer science program? 5. Two completed recommendation forms. Recommendation forms must be completed by individuals (supervisors, professors, coworkers, etc.) who can attest to your academic competence, professional skills and character. Graduates of Saint Xavier University need not submit recommendations, unless specifically asked to do so after submitting the application. 6. If admitted into the program, an advisor will review your resume and transcripts. Students who have not worked in the information systems field and/or do not have a computer based undergraduate degree may need additional coursework. Apply online for the master of computer science (MACS) program or request an information packet by mail. [-]

Master in Computer Science

Cornell Tech
Campus Full time 1 year September 2017 USA Chelsea

The technology field is increasingly fast-paced and entrepreneurial, and the most successful developers and programers are the ones who understand how technology turns into product. Our CS masters degree will give you that understanding. [+]

Masters in Computer Science. Master in Computer Science Technology exists to meet human needs and solve human problems. And today's technology-driven start-ups need engineers and computer scientists who also understand the business side of bringing innovative solutions to market. Cornell Tech's Master in Computer Science will give students the technical skills needed to develop cutting edge solutions while exposing them to entrepreneurship and product management. Learn Through Cross-Disciplinary Collaboration No matter where you apply your computer science and engineering skills, you'll most likely be working in collaboration with product and project managers, sales and marketing executives, even lawyers. Your success will depend on your ability to speak their language, to see how your technological expertise fits into the greater whole of the company, and to draw inspiration from every part of the business. In Cornell Tech's Master in Computer Science program, you'll not only get a rock solid technical education, you'll learn side-by-side with business and law students as well as other technology students. You'll work together in teams to develop your own business in the Startup Studio and develop innovative solutions for real business clients as part of your Company Challenge in Product Studio. In the process, you'll develop the kind of business savvy and communication skills—as well as peerless technical know-how—that have made previous graduates prime recruiting targets of companies like Google, Facebook, and numerous startups. Who Should Apply? You should apply to Cornell Tech's Master in Computer Science if you have an academic background in computer science or a related technical field, a strong entrepreneurial streak, and a passion to lead in the tech industry. If you do not have a technical academic background, you should have taken courses in software engineering and linear algebra and have working knowledge of data structures and algorithms. A Master of Engineering in Computer Science is also offered on Cornell's Ithaca campus with more opportunities for elective courses than Cornell Tech’s entrepreneurship and product development focused studio curriculum. Learn more. Topics Covered Machine Learning Data Science Computer Security & Privacy Computer Vision NLP HCI Systems (Computer) FEATURED COURSE Applied Machine Learning Credits 3.00 This course will help students learn and apply key concepts of modeling, analysis and validation from Machine Learning, Data Mining and Signal Processing to analyze and extract meaning from data. Students will implement algorithms and perform experiments on images, text, audio and mobile sensor measurements. They will also gain a working knowledge of supervised and unsupervised techniques including classification, regression, clustering, feature selection, association rule mining and dimensionality reduction. Careers in the Field Software Developer Product Manager Data Scientist Startup Founder or CTO Curriculum The Master in Computer Science curriculum includes a variety of rigorous courses that will give you the the skills you need to develop digitally enabled solutions to emerging business challenges and human needs. In an educational innovation unique to Cornell Tech, you'll also participate in an immersive Studio experience, in which you'll hone your team-building and leadership skills while developing a new product idea in response to the strategic needs of a real organization and create your own startup. What Your Schedule Might Look Like In the fall you’ll take Startup Systems Engineering and technical electives like Applied Machine Learning, Security & Privacy in the Wild, and Physical computing. In the afternoons you’ll work on team-based projects in Product Studio and Startup Ideas and learn firsthand from industry leaders in Conversations in the Studio. In the spring you’ll take technical electives like Data Science in the Wild, Natural Language Processing, HCI & Design or business electives like Design Thinking and Disruptive Tech. In the afternoons, you’ll pursue team-based projects in Startup Studio and Product Management. MEng Application Timeline Cornell Tech offers three application rounds. Applicants are encouraged to submit their application when ready. We will consider applicants that apply in each application round. We review applications as we receive them. The 2016-2017 application deadlines for Computer Science are as follows: Round 1 - October 3, 2016 Round 2 - January 20, 2017* Round 3 - March 3, 2017 *Scholarship: To be considered for a merit-based scholarship, applicants are strongly encouraged to apply by the January 20th Round 2 application deadline. ** Complete applications received by April 10, 2017 will still be given full consideration for admission, capacity permitting; but applicants are encouraged to submit their applications as early as possible.Submitting applications early ensures early response. Application Requirements To be considered, all applicants must provide the following in their online application: Résumé You must submit a current résumé along with your application. With the use of LinkedIn, you will have the option to auto-populate the employment and education information listed within your online professional profile. Please note, any information that is auto-populated from LinkedIn can be edited. Personal Statement Here at Cornell Tech, you will be part of an environment where creativity, technical depth and leadership share seats at the table. We value expressions of who you are and what you add to this formula. Please submit a one- to two-page statement that describes your interest in this program at Cornell Tech. Your submission should highlight personal experiences that demonstrate your creativity, leadership and technical abilities. In particular, feel free to elaborate on technical projects you have completed, their creative and technical aspects; any entrepreneurial or leadership experiences; your professional career goals; the benefit you envision being part of the tech ecosystem in New York City; and, why this program is the one for you. Two Recommendations Recommenders should be faculty members or other individuals who know the applicants professionally and have seen them play a major role on substantial projects. Recommendations must be submitted online. GRE The GRE is required for admission to Cornell Tech. All official test scores should be reported directly to Cornell University. Students who have received (or will have received) a Bachelor degree from Cornell University are exempt from the GRE requirement for the Master of Engineering program. The GRE institution code for Cornell is 2098. Please be consistent in the spelling of your name on both your application and test score report. Transcripts Transcripts from each previously-attended college or university are required and must be uploaded online with the application. Admitted students will be required to submit an official transcript directly to Cornell University Graduate School prior to matriculation. Application Fee A nonrefundable application fee of $95 must be submitted with the online application. International Applicants Transcripts In addition to the aforementioned program requirements, international applicants must provide a certified English translation of transcripts if the original language is not English. Successful international applicants will have received a baccalaureate degree from a college or university of recognized standing. TOEFL Applicants must also demonstrate proficiency in the English language by taking the Test of English as a Foreign Language (TOEFL). Official TOEFL scores must be sent to the Cornell University Graduate School. The institution code is #2098. Cornell’s official minimum sub-scores for each element of the TOEFL are as follows: Writing: 20 Reading 20 Listening 15 Speaking 22 The TOEFL requirement may be waived if the applicant meets at least one of these criteria: Is a native citizen of the United States, Australia, Canada (except Quebec), Ireland, New Zealand or the United Kingdom. Has studied in full-time status for at least two academic years within the last five years in the United States, Australia, Ireland, New Zealand, the United Kingdom, or with English language instruction in Canada or South Africa. You must submit a transcript that shows you have attended college in one of these approved locations. [-]

Master in Software, Systems and Services Development in Global Environment

University of Oulu
Campus Full time 2 years September 2017 Finland Oulu

The Department of Information Processing Science at the University of Oulu organizes a two-year full-time Master’s degree programme in Software, Systems and Services Development in the Global Environment (GS3D). [+]

Master in Software, Systems and Services Development in Global Environment The Department of Information Processing Science at the University of Oulu organizes a two-year full-time Master’s degree programme in Software, Systems and Services Development in the Global Environment (GS3D). Graduates from GS3D will have the competence to work as Experts and Managers in global ICT companies. The programme will provide multidisciplinary knowledge of software, systems and services development in a global context. Graduates will acquire the skills to understand and to analyze the dynamics of the software business environment. Students can progress with their studies to PhD and participate to GS3D research groups. Programme Outline The degree includes: Compulsory Studies - 95 ECTS Optional Studies - 25 ECTS Compulsory Master's studies include intermediate subject courses which will deepen into more advanced studies. The advanced courses form the core of the Master's programme, as they tackle the deeper aspects of the topics introduced in the earlier courses. Studies will have a basis in research and a significant portion of time will be used for the preparation of the Master's Thesis. Its purpose is to develop a student's readiness for the independent acquisition of scientific knowledge, identifying problems, analysing them, and forming a solution to them. Optional studies include either courses of information processing science or minor studies in other sciences. Courses range from 1 to 7 ECTS composing a wholeness of 25 ECTS. Learning outcomes By completing the Master’s level studies in information processing sciences a student can act as an independent expert in a goal-oriented project and is able to professionally manage such a project. The student masters typical research methods and can select the most appropriate research and data collection methods for a specific research problem. Students can develop the working methods and practices of their subject area by using a scientific approach and can communicate them clearly and fairly. After finishing Master's level studies in the GS3D programme a student can also: Apply existing and produce new IS and SE knowledge for organisational and software companies’ needs; Analyse and evaluate human activities in IT use situations, work practice and organisational functioning using conceptual means, and present the results of the analysis using suitable descriptive methods; Analyse and evaluate software solutions and processes from the perspective of software architecture, design patterns, established capability and maturity models; Evaluate the impact of the development of information technology to organisational functioning; Design IT solutions that solve identified problems and improve the efficiency of organisational practices; Design and construct software that satisfies specified functional and quality requirements; Act efficiently in global and distributed software projects or open the source community; Set targets to self-steer and work towards those goals; Communicate clearly and analytically using techniques derived from scientific practice. Students can progress with their studies to PhD degree and participate in GS3D research groups. Programme Admissions General Academic Requirements and Language Requirements are same for all of the Master's programmes. Programme Specific Academic Requirements The applicant should have a university level Bachelor's degree, or equivalent university level degree, suitable for studies of information processing science, with good grades. The degree may be from abroad or from other Finnish universities or from Universities of Applied Sciences (AMK). The programme is ideal for applicants who have background in Software Engineering, Information Systems, Computer Science, Information Technology and Computer Engineering or nearby studies. Selection Process The selection is made by the selection committee based on the rankings of applications according to the selection criteria (see below). Detailed Selection Criteria The students are ranked based on these criteria. 1. Previous Studies Relevance of the field in Bachelor degree Average grade in Bachelor degree 2. English Skills (documentation required) 3. Motivation a. Motivation letter, max. 2 pages (included in the electronic application form) Reasons for applying (expectations, career plans, interests etc.) and commitment to GS3D studies Qualifications to be a successful and prospective graduate (personal strengths, achievements, professional work experience etc.) Matching together earlier studies and GS3D Financing the studies and stay of living in Finland b. Reference letter(s) Original reference letter(s) must be attached to the application. Typically reference letters are academic references (professors, faculty officials) or references from employers. 4. Interview The selection committee invites maximum 80 applicants to personal interview based on the criteria 1-3. Interview is arranged with web based tools or locally at University of Oulu. Student Selection Applicants will be informed about the admission results by the end of April by email. Accepted applicants will also receive acceptance letter and an information package via post mail. University of Oulu International Master’s Scholarship Scheme 2017-2018 Connected with the renewal of university strategy, the increased importance of internationalization and the introduction of tuition fees for non-EU/EEA citizens, the University of Oulu has assigned a significant amount of money for tuition scholarships for 2017 entry. The scholarships will be granted in the form of a tuition fee waiver. The tuition fee waiver awarded covers 100 % of the full tuition fee. Applicants can apply for the tuition scholarship as part of the admissions process. University of Oulu Scholarship Scheme in more detail The University of Oulu International Master’s Scholarship Scheme (IM Scholarship) provides scholarships to academically talented international students. The scholarship is aimed at students studying for a Master’s degree in the University of Oulu two-year International Master’s programmes. The scholarship covers the full international tuition fee. University of Oulu IM Scholarships do not cover living costs. In order to retain the scholarship in the following year of study, a student must have completed 55 ECTS by the end of the previous academic year. If a student does not achieve this requirement during the first year of studies, they will be liable to pay the full international tuition fee for the second year if they wish to complete their Master’s degree programme. An exception to this rule can be made if a student has been granted approved leave from studies (e.g. due to serious illness). Eligibility Requirements to Apply for International Master’s Scholarship Applicants are eligible to apply for a University of Oulu IM Scholarship 2017-18, if they are: Non-EU/EEA* citizens who do not have a permanent residence permit in Finland. (Applicants not eligible for the International Master’s Scholarship are: 1) non-EU/EEA citizens who have a permanent residence permit in Finland, 2) EU/EEA citizens or comparable persons, 3) University of Oulu students who have been accepted to study BEFORE the academic year 2017-18.) Eligible to apply for a Master’s degree programme at the University of Oulu for academic year 2017 – 18. The applicant has obtained their first academic degree (Bachelor’s or equivalent) from a recognised institution of higher education. The applicant proves a high level of proficiency in English language. Approved methods of demonstrating language proficiency. Applicants who are in their last term/semester of studies for their first academic degree during the application period, can apply for the scholarship. Applicants who receive a conditional offer of study placement for a Master’s programme will receive a conditional scholarship offer. The scholarship application will be processed in the selection procedure only if the applicant meets the admissions criteria. *European Union / European Economic Area member states are: Austria, Belgium, Bulgaria, Cyprus, Czech, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Liechtenstein Republic, Denmark, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, and United Kingdom. With the EU legislation, Switzerland is also comparable for EU member states. The nature of residence permit is indicated in the residence permit with a letter. A permanent residence permit bears the letter P or A and an EC residence permit for third-country nationals with long-term EC resident status bears the letters P-EY. Application for International Master’s Scholarship 2017-18 There is no separate application system for the International Master’s Scholarship. All applicants for University of Oulu Master’s degree programmes need to complete the Student Application Form. Those applicants who are applying for the University of Oulu International Master’s Scholarship have to additionally complete the “Application for Scholarship,” section which can be found at the end of the Student Application Form. The International Master’s Scholarship application section cannot be completed and/or submitted without the Student Application Form. The application period for the University of Oulu Master’s degree programmes and International Master’s Scholarships is 15.12.2016-25.1.2017 Selection criteria for University of Oulu IM Scholarship 2017-2018 Admissions and scholarships decisions will be taken at the same time. Those students successful in obtaining an International Master’s Scholarship will be notified at the same time as their offer of admission to their International Master’s programme is confirmed. The selection criteria for the University of Oulu IM Scholarship are based on previous academic performance and academic potential. For questions concerning the University of Oulu IM Scholarship, please contact admissions.officer(a) [-]

Master in High Performance Computing and Big Data Analytics

Campus Full time 2 years October 2017 Romania Cluj-Napoca

The master’s program aims at providing students with the appropriate tools for further doctoral studies and professional activity... [+]

Masters in Computer Science. The master’s program aims at providing students with the appropriate tools for further doctoral studies and professional activity. Programme objectives Acquisition of theoretical, applicative and practical knowledge in: - complex systems modelling based on mathematical concepts and methods, and on programming concepts and techniques. - programming and usage on/of computation systems, especially those of high performance, which are necessary for solving real life problems and for simulating complex problem solutions. - exploitation (data-analysis, knowledge-discovering) and visualization of „big data” for computation problems, statistical interpretations, decision processes, or for scientific instruments. - applicative scientific domains where high performance systems are used. - analysis and improvement of software processes. - professional modelling for team work as well as interdisciplinary approaches to research and development. Core courses - Programming Paradigms - Parallel and Distributed Operating Systems - Formal Modelling of Concurrency - Advanced Methods in Data Analysis - Functional parallel programming for big data analytics - Models in parallel programming - General Purpose GPU Programming - Workflow Systems - Resource-aware computing - Data Mining - Grid, Cluster and Cloud Computing - Knowledge Discovery in Wide Area Networks Admission requirements Bachelor degree in Computer Science, Computer Engineering, Computer Science in Economics Tuition fees Students coming from: - EU/EEA – 3000 RON / year - Non-EU countries – 3000 EURO / academic year [-]

MEng in Computer Science

Northern Arizona University
Campus Full time August 2017 USA Flagstaff

This program assists students who wish to upgrade their current engineering expertise by delving into the contemporary and future-forward area of computer science. The plan features real-world relevancy and flexibility in course format and distance delivery. [+]

The MEng CS degree is a non-thesis program that focuses on building advanced computer science expertise through a project-based experience. Graduates with this degree possess advanced expertise and are well-qualified to be a leader in a variety of software development organizations. Students who are planning on further graduate study in a Ph.D. program may be interested in the thesis-based MSE CS program. This program assists students who wish to upgrade their current engineering expertise by delving into the contemporary and future-forward area of computer science. The plan features real-world relevancy and flexibility in course format and distance delivery. What Can I Do with a Master of Engineering in Computer Science? Computer scientists use algorithms and data structures to harness the incredible processing power of modern computers towards constructive ends. They write programs, the basic building blocks that form the computer world. They also create the databases, the "office" software, and the networking protocols at the core of today computing demands in business, science, and engineering. If this sounds like the career for you, we can help. Our program is intended to meet your educational needs as a practicing engineer. You will have the opportunity to enhance and/or develop the skills, knowledge, and understanding that are critical to today practicing engineers. Courses are offered through a variety of forms, including distance-delivery methods and flexible formats. Note: If you are interested in this advanced degree, you must apply and be accepted to the Master of Engineering program in addition to being admitted to the university. With further education, one of these paths is possible: Researcher Database analyst Engineering consultant Computer programmer University Requirements To receive a master’s degree at Northern Arizona University, you must complete a planned group of courses from one or more subject areas, consisting of at least 30 units of graduate-level courses. (Many master’s degree programs require more than 30 units.) You must additionally complete: All requirements for your specific academic plan(s). This may include a thesis. All graduate work with a cumulative grade point average of at least 3.0. All work toward the master’s degree must be completed within six consecutive years. The six years begins with the semester and year of admission to the program. In addition to University Requirements: Complete individual plan requirements. ADDITIONAL ADMISSION REQUIREMENTS Admission requirements over and above admission to NAU are required. NAU Graduate Online application is required for all programs. Details on admission requirements are included in the online application. Undergraduate degree from a regionally accredited institution Grade Point Average (GPA) of 3.00 (scale is 4.00 = "A"), or the equivalent. Admission to many graduate programs is on a competitive basis, and programs may have higher standards than those established by the Graduate College. Transcripts For details on graduate admission policies, please visit the Graduate Admissions Policy International applicants have additional admission requirements. Please see the International Graduate Admissions Policy Individual program admission requirements include: B.S. degree in Engineering or completion of prerequisite courses (see department website for details) GRE® revised General Test 3 letters of recommendation Personal statement or essay MASTER'S REQUIREMENTS Take the following 30 units: Applied Mathematics, in a topic relevant to your specific interests, such as Fourier transforms or statistical analysis (3 units) Engineering or Computer Science Management course offered through such colleges as Engineering or Business (3 units) Computer Science Electives, selected with your advisory committee’s approval to match your interests (18 units) This can include up to 3 units in a cross-disciplinary or otherwise related course. Practice-Oriented Project, facilitated and developed under your advisory committee’s guidance and focused on a real-world problem or theoretical issue with immediate relevance to current computer science practice (6 units) Accelerated Bachelor's/Master's Plan Option This program is available as an Accelerated Undergraduate/Graduate Plan. Accelerated Programs provide the opportunity for outstanding undergraduates working on their bachelor’s degree to simultaneously begin work on a master’s degree, which may allow them to complete both degrees in an accelerated manner by applying 6 units toward both degrees. Students must apply to the accelerated program and the master’s program by the application deadline, and meet all requirements as listed on the Accelerated Bachelor's/Master's Programs to be considered for admission. Admission to programs is competitive and qualified applicants may be denied because of limits on the number of students admitted each year. Be sure to speak with your advisor regarding your interest in Accelerated Programs. Be aware that some courses may have prerequisites that you must also take. For prerequisite information click on the course or see your advisor. Student Learning Outcomes The Master of Engineering is a non-thesis professional degree, based primarily on course work and/or on an engineering project designed with the guidance of a faculty advisor to address a need or problem specific to their engineering field of study (Civil, Environmental, Electrical, or Mechanical Engineering). This degree program is designed to provide a broad, practice-based education. Demonstrate the ability to apply graduate level critical thinking skills to formulate and solve advanced civil (electrical/environmental/mechanical) engineering problems. Acquires knowledge on advanced contemporary engineering topics and computational tools specific to civil (electrical/environmental/mechanical) engineering. Develops the ability to identify, formulate, and solve relevant advanced civil (electrical/environmental/mechanical) engineering problems. Develops the ability to synthesize, explain, verify, and justify solutions to complex civil (electrical/environmental/mechanical) engineering problems. Demonstrate the ability to, independently and creatively, design, plan, and conduct complex civil (electrical/environmental/mechanical) engineering projects; Assesses the state of the art in the field of study. Applies, independently and creatively, appropriate engineering theories and tools towards developing a viable solution for the project. Designs and conducts activities specific to the project. Demonstrate the ability to communicate effectively the results of a comprehensive research project through oral presentations and publications. Creates a report reflecting the integration of knowledge acquired through the project. Delivers an oral presentation to peers summarizing the work performed on the project and its outcomes. Synthesizes and presents the relevance of the engineering project in both technical and non-technical terms. [-]

Master in Digital Solutions Development

Campus Full time 9 months October 2017 Spain Barcelona

The Master in Digital Solutions Development is ideal for those who want to enter the Digital industry with a solid base on which to start a new career in IT. Aligned with the technology and programming skills that the digital companies need to develop creative technology solutions. [+]

Masters in Computer Science. The Master in Digital Solutions Development is ideal for those who want to enter the Digital industry with a solid base on which to start a new career in IT. Aligned with the technology and programming skills that the digital companies need to develop creative technology solutions. WHAT WILL I LEARN? The skills that you will gain will qualify you for a diverse range of job roles across the IT industry. You will learn all aspects of the IT business system cycle including the analysis, design, development, implementation and evaluation of systems to increase business efficiencies. In addition, you will learn to design, create, document and implement computer programs in a range of different languages. Barcelona Technology School ensures to all the participants a professional experience after the Master. DURATION The Master in Digital Solutions Development offers you an university accreditation with 60 ECTS. The completion of the full time program takes 9 months, it starts on October 2016. Barcelona Technology School is an international institution, being all the programs taught in English and in the sunny and innovative city of Barcelona. A key part of the program is project-based learning, where participants will either generate and develop their own digital projects & solutions. READY FOR A BIG DIGITAL CAREER Tech industry is exploding and the key digital companies need your talent. Barcelona Technology School connects your career with the digital industry while brings you the most demanded digital knowledge & skills. INTERNSHIPS & JOBS OPPORTUNITIES Thanks to our agreements with the digital industry, you will have the chance to live a professional experience in some of the top technological companies that have a partnership with the Barcelona Technology School ecosystem. HOW TO APPLY If you are passionate about the software development and you would like to access job opportunities, develop the best IT talent and have a master experience in Barcelona… we just ask you for 4 requirements: 1 APPLICATION FORM Download, fill in & sign the application form. 2 MOTIVATION LETTER Candidates must send to the admissions office the application form, their CV as well as a motivation letter explaining how they think the digital industry will be in the next five years and how they could contribute to the digital transformation. 3 INTERVIEW Our admission officers, as well as the director of the program, will analyze your candidature and if you meet the profile of Barcelona Technology School, we will call you to have a chat. 4 PAYMENT To ensure you place on the Master, you must secure it by making the reservation payment. In the acceptance letter we tell you how. You must then pay the enrolment fee and you can pay the rest in cash or in instalments. [-]

Master in Innovative Software Systems: Design, Development & Applications

National University of Science and Technology MISiS
Campus Full time 2 years October 2017 Russia Moscow

Two-year, full-time master's program in Innovative Software Systems: Design, Development & Applications. [+]

The Master in Innovative Software Systems: Design, Development & Applications program offers systematic mathematical, programming, and economic training. After completing the program, our highly qualified Master's graduates will have acquired the skills to succeed at research, analytics or practical implementation, development and research of modern software, mathematical methods and models of objects, systems, processes, and technologies for computer vision applications in science, technology, medicine, and other industries (such as robotics, mobile systems in aeronautics, astronautics, for submarine installations, transport, etc.). Among the competitive advantages of this program is the opportunity to take a step forward and bridge active radar data with passive computer vision and the appropriate methods of object identification based on sparse and uncertain information, drawing on the latest scientific achievements of the faculty staff, the Institute for Systems Analysis of the Russian Academy of Sciences, and Cognitive Technologies. In addition to the classical image processing, optimization, pattern recognition methods, and information technology, this program unveils modern approaches to artificial intelligence and most recent scientific advances in cognitive technologies, significantly enhancing the capabilities of such systems. The curriculum is presented by leading experts of the Institute for Systems Analysis of the Russian Academy of Sciences, Cognitive Technologies and Moscow Institute of Physics and Technology. All instructors have high scientific potential and broad practical experience in the area. The staff of the Engineering Cybernetics Department provide a high-level instruction in mathematics and advanced computer training for Masters. Students from this department have repeatedly won IT competitions, national and international academic competitions in programming, and made the finals at the International Collegiate Programming Contest. Admission Admission to International Master’s Programs at MISiS is open to both Russian and international students. Given that all classes will be conducted in English, we recommend that nonnative speakers of English achieve a TOEFL score of at least 525 (paper based) or 200 (computer based) prior to admission. To apply for a two-year Master’s program at MISiS, the applicant must hold a Bachelor’s degree in a related field. Upon the completion of the program of study at MISiS, the applicant will receive a Russian State diploma and a European Diploma Supplement. Admission Deadline The deadline to submit the application for Fall 2017 is 10 May 2017. [-]

Master Sensor System Engineering (SSE)

Hanze University of Applied Sciences - Groningen, the Netherlands
Campus Full time 1 year September 2017 Netherlands Groningen

This master prepares you for a bright future in the fascinating world of advanced sensor applications. A domain that is rapidly growing, providing all kinds of interesting prospects for you, ambitious engineers. Within the globally important domain of health, sensor applications will provide totally new ways to monitor, heal, treat and care for people. [+]

Masters in Computer Science. Sensor System Engineering: Passionate about technology and engineering? ​​ Are you open minded, do you like to stretch boundaries to find out what is out there? Can you apply yourself, developing new ways to move the technology ahead, specifically in the health domain? Then take a moment to consider the opportunity to join us for one year to complete the Sensor System Engineering (SSE) honours master's programme.​​​ Programme overview General knowledge about sensor applications needed for any type of specialisation Specialised knowledge involving sensors in the health domain Honours content Master's thesis project (30 ECTS) General knowledge about sensor applications needed for any type of specialisation Linear algebra (4 ECTS): mathematics required for the next modules. Advanced data analysis (4 ECTS): integrating data coming from multiple complex sensors and to interpret this data correctly Modelling & simulation (4 ECTS): theory and tools required to model complex systems and to analyse and represent simulated data. Data centric architectures (4 ECTS): the architectural design of sensor systems at the level of of system architectures for big data applications and at the level of digital signal processing (DSP). Specialised knowledge involving sensors in the health domain Products and services in Health (4 ECTS): using real cases to learn the full design process of a health related sensor system. Sensor applications in Health (3 ECTS): exploration of sensor applications in biology, technology, diagnostics and application in health environments like hospital and home care. Honours content Professional skills (3 ECTS): learning to excel in the professional fi eld by developing essential professional, non-technical skills. Research & ethics (5 ECTS): learning necessary research skills as well as the ability to reflect on ethical issues. Community contribution (1 ECTS): forming a network for the students to help them solve particular problems in a multidisciplinary setting. Master's thesis project (30 ECTS) A six month research project in the domain of sensor technology and health in industry, a research institute or university department, resulting in a master's thesis. [-]