Part time Master's Degree in Computer Science

Find Part time Masters Programs in Computer Science 2017

Computer Science

A Masters degree is an academic degree awarded to individuals who successfully denote a higher level of expertise. There are two main types of Masters - taught and research.

There are several fields that make up the broader field of computer science. One of these fields is the computational complexity theory, which can be very abstract. Other fields, such as computer graphics, deal more with concrete and hands-on visuals.  

 

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Master in Data Science

Bologna Business School
Campus 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. [+]

Best Part time Masters in Computer Science 2017. 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

Harbour.Space
Campus 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 [-]

MicroMasters Program in Artificial Intelligence (Columbia University)

edX MicroMasters Programs
Online Part time 48 weeks January 2017 USA Cambridge

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

Best Part time Masters in Computer Science 2017. 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 Library & Information Science,Digital Library & Information Services

University of Borås
Online & Campus Combined Part time 4 years August 2017 Sweden Borås

Digital Library and Information Services. Students will understand the significance of digital libraries in their own context, manage the transition of services to the digital sphere, and develop new digital services to satisfy the needs of their clientele. [+]

Master’s programme: Library and Information Science, Digital Library and Information Services

 

Would you like to work at the leading edge of information and library practice? Would you be interested in helping people to make sense of the cyberspace that is becoming so important in their work and lives? Do you want to have all the treasures of human knowledge, acquired through the ages, at your fingertips? This programme will help you to choose your mission and place in life. It offers exciting possibilities of finding the job of your dreams. Digital library and information services in many different sectors, from public and academic libraries to global business and children’s libraries are now seeking staff who have been prepared to work in the digital environment. The knowledge and skills you acquire will be useful in any of these areas because of the pervasive and omnipresent nature of digital resources. You will be the one to lead people to the information they really need. Digital libraries are increasingly significant throughout the world in the provision of information not only to local audiences, but internationally. They are developed by existing library services, by governmental and commercial organizations. Therefore, we offer this programme on a part-time, distance learning basis, to answer the need for professional competence in this area, in a mode that is appropriate for anyone, anywhere in the world. Following the programme, students will be able to understand the significance of digital libraries in their own context, manage the transition of services to the digital sphere, and develop new digital services to satisfy the needs of their clientele. The programme draws upon the excellence of faculty members in Sweden’s leading school of library and information science.... [-]


Master in Mobile Technologies and Smart Cities (MMTSC)

Universidad Politécnica de Cartagena
Campus 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. [+]

Best Part time Masters in Computer Science 2017. 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 in Computer Science

Cornell Tech
Campus 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. [+]

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 Informatics, Electronics and Radio Engineering

National Research University
Campus 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 [+]

Best Part time Masters in Computer Science 2017. 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 of Engineering in Real Time, Steering and Supervision

Centrale Nantes
Campus 2 years September 2017 France Nantes

The Master offers two speciality tracks: Real Time embedded systems - embedded computer science and Simulation & Supervision [+]

This Master is internationally recognized and accredited by the French Ministry of Higher Education.

Language of teaching

Courses fully taught in English during the two years.

TRACK: REAL TIME EMBEDDED SYSTEMS - EMBEDDED COMPUTER SCIENCE

The objective of this track is to present the techniques currently used for the design and the verification of embedded systems, and more especially real-time embedded systems. The track relies on several courses covering various topics: the design of real-time systems and the architecture of a real-time operating systems (OSEK/VDX standard is used); the real-time scheduling policies and the associated implementation; tools for the modeling and verification of real-time systems: Petri networks, finite state automata and time automata. ... [-]


Master in Computer Science

Vrije Universiteit Amsterdam
Campus 2 years September 2017 Netherlands Amsterdam

The Master’s programme aims to provide you with the knowledge, experience and insights you need to become an autonomous professional in the field of c [+]

Master in Computer Science

 

The Master’s programme aims to provide you with the knowledge, experience and insights you need to become an autonomous professional in the field of computer science. You will learn a great deal about the technology behind computer systems, software, networking and online systems. The programme is designed to offer a solid basis for a career in the business world and also to prepare you for further education as a scientific researcher. There are several research groups within Vrije Universiteit Amsterdam where you will have the opportunity to continue your work as a scientific researcher. The Computer Science department has many connections with national and international companies, which can offer you a flying start to your career once you have completed your Master’s. Computer Science graduates are in high demand and many of our students find work in their chosen field of specialization.... [-]


Master in High Performance Computing and Big Data Analytics

UNIVERSITATEA BABEȘ-BOLYAI
Campus 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... [+]

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 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. [+]

Best Part time Masters in Computer Science 2017. 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 Software Engineering

University of Gothenburg Department of Computer Science and Engineering
Campus 4 semesters September 2017 Sweden Gothenburg

The master’s programme in Software Engineering is based on one of our strong research profiles and is also run in very close collaboration with industry. The programme is coupled to the newly established Software Center, which is a joint initiative by Chalmers and University of Gothenburg together with industry partners. [+]

The master’s programme in Software Engineering is based on one of our strong research profiles and is also run in very close collaboration with industry. The programme is coupled to the newly established Software Center, which is a joint initiative by Chalmers and University of Gothenburg together with industry partners. The programme focuses on three key roles in software system development: Software Project Manager, Software Architect, and Software Quality Manager. The main perspectives for each of these roles are: - Understanding industrial practices - Supporting practices with new methods and tools - Innovating practices to improve performance The master’s education in Software Engineering is targeting students who want to deepen their knowledge about model-driven engineering, software architectures, quality management, project management, and gain practical experience from working in software projects. There is also a potential for deeper studies in programming and design. By working closely together with both researchers and practitioners in projects, you receive a wide range of opportunities to shape a career in industry or academia. The programme is structured around a set of recommended courses in the area of software engineering specialising in the following areas: - Managing software projects - Software architecture and modelling - Verification and validation - Implementation The education is to a large extent project- and problem-based, supervised by both researchers from the university and practitioners from industry. The students are working with real-world problems with connection to both research and practice. Compulsory courses - Project and Quality Management - Requirements Engineering - Model Based Testing - Empirical Software Engineering - Advanced Software Architecture - Model Driven Engineering - Software Evolution Project - Master’s Thesis Project - Recommended elective courses - Programming or Modelling - Agile Software Processes - Software Engineering Using Formal Methods - Software Product Lines - Programming Paradigms - Innovation and Entrepreneurship - Science and Research Methodology Additional elective courses are available. The programme is entirely given in English and we welcome students from all countries. The Software Engineering Master's programme has been selected by the Swedish Institute to nominate candidates for scholarships. Content The programme spans 120 higher education credits (ECTS) and is divided into four semesters. The first semester starts with a course focusing on the three roles, followed by a project where the objective is to work on a real problem where all three roles are needed to solve it. During the second semester, if you have a background in SE, you will get the opportunity to broaden your knowledge base by choosing courses in other subjects. Otherwise, you can study courses with a traditional SE content. The second semester also contains a project, where you assume one of the roles. You continue to focus on this role when you choose courses for the third semester and start your thesis preparation. During the fourth semester you concentrate solely on the master thesis project. In this programme, you work closely with researchers work on projects during all semesters. These will often be related to a real problem introduced by company. This way scientific quality can be combined with industrial relevance. Theoretical courses are provided as well, with a mix of seminars and group activities with presentations by visiting researchers and practitioners. [-]

Master in Innovative Software Systems: Design, Development & Applications

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

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

Best Part time Masters in Computer Science 2017. 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 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. [+]

Sensor System Engineering: www.hanzegroningen.eu/msse 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. [-]

Master in Energy Informatics

University of Applied Sciences Upper Austria
Campus 4 semesters October 2017 Austria Hagenberg

Energy is the underlying heartbeat of the global economy – a critical factor in the production of nearly all goods and services in the modern world. Clearly, given the critical role of energy, the driving imperatives in any economy are ensuring security of supply, maintaining competitiveness and overseeing the transition to a low-carbon future... [+]

Best Part time Masters in Computer Science 2017. Master in Energy Informatics Energy is the underlying heartbeat of the global economy – a critical factor in the production of nearly all goods and services in the modern world. Clearly, given the critical role of energy, the driving imperatives in any economy are ensuring security of supply, maintaining competitiveness and overseeing the transition to a low-carbon future. Key requirements in this respect are the strategic management of supply and improving its overall generation and distribution. Impacting on these challenging goals will be a variety of factors, including advances in renewables, e-mobility and green technologies, to name only a few. Managing this changing environment is no easy task. That will require intelligent IT solutions and therefore well-educated IT experts able to design and/or operate future smart grids, smart city infrastructures and enhanced energy supply systems. Energy Informatics (ENI) is the application of information technologies to this highly demanding field. Information Degree: Master of Science in Engineering (MSc) Duration: 4 semesters (120 ECTS) Annual intake: 20 Mode of study: full-time Admission requirements: Completed Master’s or Bachelor’s degree with IT strand worth a minimum of 60 ECTS points, or a similar qualification. Sound knowledge of English. Language of tuition: English Fees: No tuition fees Focus of studies This Master’s degree programme Energy Informatics (ENI) provides technical, business and legal expertise for the development of future energy systems, especially in the areas of: International Energy Makets and Energy Law Processes and Process Modelling International Project Management Systems Engineering Energy generation, distribution and storage (renewable energy, energy storage, charging stations, buildings, lighting, etc.) Field Components (meters, load control, gateways ...) Software Systems (SCADA, Meter Data Management (MDM), Head End Systems (HES), Device Data Management (DDM), Energy Data Management (EDM), Geographic Information Systems (GIS) etc.) Cloud Computing, Big Data IT Security Communication Technology (Radio Frequency / Powerline) Home and Building Automation Electromobility Additional interdisciplinary elective courses and seminars are also available; they vary from semester to semester. Curriculum The curriculum of the Master's degree programme Energy Informatics (ENI) is structured in a way that allows for giving a comprehensive overview on almost all of the relevant aspects in the smart energy domain. Furthermore, it allows for individual specialization by identifying specific topics the student is interested in. Technical competences like smart grid field components and home and building automation as well as interdisciplinary competences like process modelling and international energy markets and energy laws are provided by the highly forward-looking master's degree programme. In addtition students of the Master's degree programme Energy Informatics can also attend courses being offered by other Master's degree programmes. The interest areas have to be chosen in the context of the project and research topics being defined together with the academic advisor that has been assigned to the student. Practice-oriented Degree Programme As a University of Applied Sciences, we cooperate closely with the local industry and companies within the region, as well as with various international ones. These connections enable you to develop highly sought-after skills, as you will gain practical, hands-on experience which ultimately increases your level of employability. Further interdisciplinary and applied research projects will allow you to strengthen relationships with the local industry and international companies throughout your studies. Career profile The Energy & Climate Package and the Energy Efficiency Directives released by the European Commission in 2007 and 2012, respectively, clearly state that the main tools for building a progressively lower carbon economy are energy efficiency, investment in renewables and new technologies, as well as better interconnectivity between energy markets. These strategic goals will all require a large pool of IT expertise. In-depth technical knowledge in Energy Informatics equips our students with the proactive qualities that underpin leadership/management positions, and can lead to high-flying careers. Energy Informatics graduates will not only work at energy suppliers and network operators, but also in associated sectors. Even energy-intensive industries such as the automotive industry and metal processing companies can benefit from their expertise. Other fields include the conception, planning and implementation of IT systems for smart grids, smart cities, e-mobility and industrial plants. You will be working in a highly dynamic field with excellent career prospects. [-]