Part time Master's Degree in Computing

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Master-level studies involve specialized study in a field of research or an area of professional practice. Earning a master’s degree demonstrates a higher level of mastery of the subject. Earning a master’s degree can take anywhere from a year to three or four years. Before you can graduate, you usually must write and defend a thesis, a long paper that is the culmination of your specialized research.

The computing field covers a wide range of studies, including information systems, computer engineering, information technology, computer science and software engineering. Different computing disciplines may cover software and hardware system building and design, the creation of intelligent computers, information structuring and scientific research.

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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 Computing 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 [-]

Master in Cloud Computing and Services (CCS)

EIT Digital Master School
Campus 2 years September 2017 Germany Berlin Netherlands Eindhoven Finland Espoo United Kingdom London France Paris Sweden Stockholm Italy Trento Hungary Budapest Spain Madrid + 15 more

The programme in Cloud Computing and Services focuses on a broad range of applications like electronic commerce, mobile services, online social networks, peer-to-peer systems and Web services. [+]

Best Part time Masters in Computing 2017. The programme in Cloud Computing and Services focuses on a broad range of applications like electronic commerce, mobile services, online social networks, peer-to-peer systems and Web services. What is common to all of these applications is that information sources and control are decentralised over the network and multiple data centres and their underlying systems become distributed, reconfigurable and adaptive. All this makes the process of developing distributed software systems significantly more complex than for centralised systems. Cloud Computing and Services will provide students with a system of knowledge both in formal foundations, technological platforms and practical skills in implementing distributed software applications. The programme will also provide an insight into current and future directions of the distributed software development. After completion of the study, students understand and know how to use large distributed systems. On top of this they are also capable of designing and constructing cloud computing systems and services on networking and computing infrastructures. The programme will offer six specialisations: (1) Mobile Services, (2) Cloud and Data Analytics, (3) Cloud Infrastructures, (4) Data Intensive Computing, (5) Distributed Information Management, (6) Distributed Data Processing. Programme During the first year, a similar set of courses are offered at the four involved entry points Aalto University, TU Berlin, University Rennes 1 and TU Delft. This includes distributed systems, advanced network technologies, service technologies and cloud programming models. In addition, some elective cours-es may be chosen to prepare for a specialisation. An important part of the programme are the Innovation and & Entrepreneurship (I&E) courses. The I&E basics course provides an introduction to business and management. The Business Development Lab will extend projects mainly in the areas of distributed system and cloud computing by a market survey, a business model generation process and a venture development exercise. We emphasize user driven innovation and holistic analysis of service, technology, organization and financial perspectives, as distributed systems in general and cloud computing in particular are disruptive for existing business models and almost always have a significant impact on the culture and social relations. Society-relevant themes will also be at the core of the summer schools, which will bring students from the different entry points together. Students participating in the CCS track will be offered an internship in a partner industry or research centre of the EIT Digital to work on a thesis project. Directly linked to the master thesis, there will be the I&E minor thesis that will specify the requirements, strategy and business plan for the selected master thesis project. The I&E thesis allows students to study topics including, but not limited to: Different models for cloud computing (IaaS; PaaS, SaaS) Peer-to-peer systems and environments Innovative service for mobile computing (location-based and context-aware services), Parallel and distributed systems Security and privacy for electronic commerce applications Linked open data and semantic web Multi-agent systems. Specialisations Specialisations are provided during the second year. The CCS programme offers 6 specialisations, each at a different location. To meet the requirements for geographic mobility, the chosen exit point needs to differ from the chosen entry point. Mobile Services at Aalto Cloud & Data Analytics at TU Berlin Cloud Infrastructures at University Rennes 1 Data Intensive Computing at KTH Distributed Information Management at Université Paris-Sud Distributed Data Processing at Delft University of Technology Specific Admission Requirements A B.Sc. degree in computer science, computer engineering or information systems, is required. Students should have basic competence in mathematics, theoretical foundations of CS, algorithms and data structures, software engineering and database systems, computer architectures, computer networks and operating systems. [-]

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 [+]

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. [-]

MCom in Computer Auditing

University of Johannesburg
Campus Part time 2 years February 2017 South Africa Johannesburg

The student should develop applied specialised competencies in the mastering, interpretation, understanding, analysis and application of computer auditing principles in the computer auditing field. A qualifying student should show evidence of independent and original scientific work through a limited scope dissertation. [+]

Best Part time Masters in Computing 2017. The student should develop applied specialised competencies in the mastering, interpretation, understanding, analysis and application of computer auditing principles in the computer auditing field. A qualifying student should show evidence of independent and original scientific work through a limited scope dissertation. Admission requirements: A potential student should possess an honours qualification or a postgraduate diploma in a related computer auditing field, on New NQF level 8 / Old NQF level 7. Alternatively any other four-year qualification on New NQF level 8 / Old NQF level 7 and related practical auditing experience which is considered relevant and sufficient by the Department of Accountancy. Preparatory study and an entrance examination may be required by the Department of Accountancy. A selection process will be followed. Contact details: Prof Danie Coetsee / 011 559 3859 / dcoetsee@uj.ac.za [-]

Master degree in Mathematics and Computation

University of Minho - School of Sciences
Campus 2 years October 2017 Portugal Braga

The Master Degree on Mathematics and Computer Science is a Mathematics graduate course with emphasis on computational solutions to mathematical problems and the application of those solutions in science and technology, including Computer Science. [+]

Academic degree: Master (Bologna 2nd cycle degree) ECTS: 120 Duration: 2 curricular years Regime: Normal Place: Gualtar Campus, Braga Main Scientific area: Mathematics The Master Degree on Mathematics and Computer Science is a Mathematics graduate course with emphasis on computational solutions to mathematical problems and the application of those solutions in science and technology, including Computer Science. The main scientific areas of the course are Computational Discrete Mathematics, Computer Science, and Numerical Mathematics, areas which play a central role in the modern technologies. The applications include, among many others, image processing, computer-aided design / manufacturing (CAD/CAM), secure and reliable communication technology, and formal verification of software. The course gives not only the opportunity to use advanced computational tools like symbolic computational system and libraries of scientific computing, but also the necessary instruction for the analysis and implementation of new algorithms. The course results from collaboration between the Departments of Mathematics and Informatics of UM. Career opportunities Consultancy, software industry, departments of information and communication technology in any economic sector, departments of research and development in the same technological areas [-]

Master in Computer Science

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

An international programme where you can choose between five different tracks - each of them corresponding to internationally recognised research at our department. [+]

Best Part time Masters in Computing 2017. An international programme where you can choose between five different tracks - each of them corresponding to internationally recognised research at our department. Computer science (CS) is the study of the theory of information and computation, and its implementation and application in computer systems. Computer science has many sub-fields; some emphasise the computation of specific results (such as computer graphics), while others (such as the theory of algorithms) relate to properties of computational problems. Still others focus on the challenges in implementing computations. For example, programming language theory studies approaches to describing computations, while computer programming applies specific programming languages to solve specific computational problems. What is the programme about? Computer Science (CS) is a full-spectrum Master's programme that provides a cutting-edge higher education in a wide range of areas, including the Science of Programming, Programming Languages, Algorithmics, Program Analysis, Databases, Logical Methods, Verification, Dependability, Security, Distributed Computing, Data Communication, Digital Systems, Computer Architecture, Computer Graphics, and Interaction Design. They correspond to areas within which we have strong, internationally recognised research groups, which are the driving force behind the education. What do you learn? You will be equipped with the knowledge, skills, and attitudes required for a successful professional career in a large variety of information technology areas, both in industry and in academia. In particular, the programme enables you as a future IT professional to conceive, design, and implement systems which work correctly, are maintainable, and reliable. What jobs will you get? After graduation, you will be highly qualified in advanced software engineering, where you can work as a programmer, system architect, system developer, and project leader. Our emphasis on modelling, design, and on conceptual abilities will provide you with a great flexibility, such that you can adjust to emerging job markets in a wide range of IT related areas. Who should apply? The Master's Programme in CS is an international full-time programme open to both Swedish and international applicants. The programme is taught in English and comprises 2 years. Admitted applicants typically hold a Bachelor's degree in computer science or equivalent, and have a solid academic record. [-]

Master of Technology in Computational Intelligence

K L University
Campus July 2017 India Guntur

To make the students achieve a level of competency, cognition and knowledge in the acquisition of theoretical foundations in the stated specializations related to Computer Science and Engineering at post graduate level. [+]

Program Educational Objectives To make the students achieve a level of competency, cognition and knowledge in the acquisition of theoretical foundations in the stated specializations related to Computer Science and Engineering at post graduate level Must be able to conduct research and undertake development in the focused and emerging areas and domains shortlisted for the discipline - Computer Science and Engineering Specify, design, develop, prototype and test the applications that are related to the domains finalized for the program Be able to achieve hands on practice in using different type of tools which are related to theoretical aspects covered in the program, and be able to conduct research, and undertake project development using the tools. Understand and practice professional ethics Recognize professional and personal responsibility to the community and undertake all the activities that benefit the society Pursue lifelong learning as a means of enhancing knowledge and skills necessary to contribute to the betterments of profession. Must learn to work in teams especially for undertaking project execution Program Outcomes Apply knowledge, concepts, methods, and algorithms, techniques in implementing solutions to the problems that are related to the domain areas that are shortlisted for the discipline Computer Science and Engineering. Identify, formulate, research literature and find solutions to the problems and critically evaluate the solutions to the problems that are related to the fields of specialization shortlisted for the discipline “Computer Science and Engineering” Specify, design and develop solutions for complex engineering problems related to specialisation areas and domains shortlisted for the program Conduct experimentation using different types of tools, that help analyzing, designing evaluating and testing applications related to specialization areas Be able to innovative and incubate the research findings through development of pilots and be able to promote the commercialization by interacting with eco system in association with the faculty specializing in similar areas. Function effectively as an individual and as a team member to design and develop applications, conduct research and find solutions to the burning problems. Demonstrate the understanding of the societal, health, safety, legal and cultural issues through incorporating and implementing relevant engineering practices during project and LAB execution. Understand and commit to professional ethics through adaption of norms and standards Be able to bring in the societal issues such as energy minimization, pollution elimination etc., into the engineering solutions designed for solving complex problems Demonstrate knowledge and understanding of management and business practices that are related to the field of specialization [-]

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 Computing 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. [-]

Dual International Masters in Mathematical Informatics

West Catholic University - Université Catholique de l’Ouest
Campus 24 months September 2017 France Angers

The Dual International Masters in Mathematical Informatics is unique programme delivered by two academically renowned Universities in Europe: Liverpool Hope University, UK and the Université Catholique de l’Ouest, France. [+]

MSc Computer Science and Informatics - Liverpool Hope University, UK MSc Applied Mathematics - Université Catholique de l’Ouest, France The Dual International Masters in Mathematical Informatics is a unique programme delivered by two academically renowned Universities in Europe: Liverpool Hope University, UK and the Université Catholique de l’Ouest, France. By utilising the teaching knowledge, research excellence and first class faculties of two leading European institutions, the Dual International Masters in Mathematical Informatics provides a world class academic curriculum and practical learning experience for the technology and scientific graduates of the future. The Dual International Masters in Mathematical Informatics programme provides students the opportunity to study both in the UK and in France where they will gain two degrees in less time and at a lower cost than it would take to earn the degrees independently. Successful graduates will gain the MSc Computer Science and Informatics, awarded by Liverpool Hope University, UK and MSc Applied Mathematics, taught at the Université Catholique de l’Ouest, and awarded by the University of Angers, France. The programme includes a paid internship where students will be working on a technology project within a company. The internship gives an opportunity to utilise the technical, scientific and academic knowledge learnt within the programme whilst further developing communication, teamwork and interpersonal skills. The internship cumulates in a research dissertation that is assessed by both Liverpool Hope University and Université Catholique de l’Ouest. Entry Requirements: A good degree (minimum of second class or equivalent) in computer science, computing, science, or an engineering-based discipline, OR; A good degree (minimum of second class or equivalent) with at least 50% computing element, plus analytical aptitude, OR; Highly relevant industrial experience equivalent to degree level, and analytical aptitude Computer Science, computing, science, or an engineering based discipline. English language requirement: Students whose first language is not English are normally required to have an IELTS 6.5 (reading 6, writing 6), TOEFL ibt 87 or other equivalent recognised English language qualification. International Students: fill out the form on this page to contacts us for additional information. [-]

Master in Computer Science

Marconi University
Campus 12 months October 2017 Italy Rome

The Master in Computer Science responds to this need and represents an important opportunity of vocational training on: development/implementation of information systems architecture; development, management and maintenance of business databases; implementation of guidelines for software development; knowledge and implementation of policies for the security and reliability of systems and the web. [+]

Best Part time Masters in Computing 2017. With the spread of information technologies into contemporary lifestyles and into many different professional contexts, it is evident how important is to meet the growing demand for high-qualified learning programs for the development and project of effective and innovative IT solutions. The Master in Computer Science responds to this need and represents an important opportunity of vocational training on: development/implementation of information systems architecture; development, management and maintenance of business databases; implementation of guidelines for software development; knowledge and implementation of policies for the security and reliability of systems and the web. A student is granted a Master’s degree after successfully defending his or her final thesis in front of a panel of judges. Grading is based on a scale of 0-110; 66 is the passing grade and students who obtain full marks of 110 may also be awarded ‘summa cum laude’ (110 e lode). The final thesis of the Master’s program, intended to assess the technical, scientific and professional preparation and competences of the student, requires the completion, discussion and presentation of a written project work during the dissertation. The MCS degree program consists of four modules: Computer networks (12CFU/ 9 quarter credits), Database (12CFU/ 9 quarter credits), Software engineering (18CFU/ 13.5 quarter credits) and Security (12CFU/ 9 quarter credits). Module 1 – Computer networks – MCS_E_M1 CFU/ECTS 12 – US QC 9 The module allows you to have in depth knowledge of computer and telecommunication networks. A description of the layers will be given: physical, data links and the network and transport of the OSI model. Furthermore, the features of the main systems used in geographical areas will be described such as telephone networks and cell phone systems, as well as metropolitan areas such as WiMax where protocols and structures will be explained. Lastly, the functioning of IPv6 will be considered. Module 2 – Database – MCS_E_M2 CFU/ECTS 12 – US QC 9 The module aims to present the system characteristics, their architecture and the principles that they aspire to, based on database technology and in particular on the relational ones. They deal with the application design point of view and, in addition, the systems for data management, interrogation languages and design methodologies will be studied on the databases themselves. They will deal with automatic information retrieval systems from heterogeneous and distributed sources by giving the skills needed to understand the processes and techniques of information processing which characterize today’s search engines and their applications. Particular emphasis will be given to automatic learning technologies which allow for the rapid development of systems based on the reutilization of data and available knowledge in electronic format within open sources. Module 3 – Software Engineering – MCS_E_M3 CFU/ECTS 18 – US QC 13,5 The module’s objective is to understand the more advanced aspects of object oriented programming by using Java as the language of reference. The software industrial production process will be defined, by highlighting the lifecycle of the software product from the requirements stage to the implementation and integration stage according to the most modern object oriented methodologies. The knowledge for the analysis, design and quality software systems implementation will be given, by focusing on the description of the software development stages. Furthermore, the methodologies developed for complex problem analysis will be described in order to evaluate the complexity of each approach and to identify the structures and strategies to resolve them. Module 4 – Security – MCS_E_M4 CFU/ECTS 18 – US QC 13,5 The module intends to give the know how in order to understand the different aspects in which we articulate the theme of security in computing systems. The technical aspects relating to cryptography, system and network security will be dealt with, as well as the managerial and normative point of view. The capacity of dealing with the digital signals which must be transmitted remotely or stored on a device will be considered, whose purpose is to reduce redundancy and increase the probability of correct information retrieval after the transmission or storage. Learning Objectives The Master enables students to project, develop, create, manage and maintain business information systems and is specifically focused on the physical structure of the information network. Moreover, the Master provides students with the basics in the field of the development of software and the management of business databases, web applications and mobile technology. Outcomes and Professional Profile The Master in Computer Science intends to form high-skilled professionals able to work in public and private organizations worldwide as business information systems managers. [-]

MRes Computer Science

Xi'an Jiaotong-Liverpool University
Campus 18 months September 2017 China Suzhou

The MRes (Master of Research) in Computer Science programme is designed to develop students’ understanding of the research process and their ability to carry out research. [+]

Overview The MRes Computer Science programme is designed to develop your understanding of the research process. It is for graduates from a computer-related discipline who wish to investigate research as a possible career, or who wish to extend their knowledge of one particular facet of computing. This programme provides you with an MRes that allows you to focus on your desired specialism, whilst our international staff provide all necessary support. Graduates of this programme, as with all XJTLU masters degrees, earn a University of Liverpool degree that is recognised by the Chinese Ministry of Education. Knowledge and skills The MRes Computer Science programme will equip you with comprehensive knowledge and understanding of: • advanced theoretical fundamentals of current trends in computer science • state-of-the-art key research issues in specialised areas of computer science • techniques for project management and the design, implementation and evaluation of IT solutions. Modules You will complete four taught modules in the first semester, followed by a research project for a total duration of 18 months. The precise content of your research project will be discussed and decided with your project supervisor and is subject to approval. Core modules: • Research methods • Project management • Dissertation. Elective modules: • Cloud computing • Data mining and Big Data analytics • Interactive systems • Object-oriented programming. Additional learning activity modules Careers Graduates from this programme will find employment as research and development engineers, systems developers and project leaders in IT companies, or will go on to further studies as a PhD candidate. Fees RMB 90,000 for the entire 18 month full-time programme. University tuition fees cover the cost of your study with us. Entry requirements: academic background An undergraduate degree (UK 2:1 or equivalent) in a computer science-related discipline with suitable programming and programme design experience. English language requirements • IELTS: 6.0 (minimum of 5.0 in all sections) • TOEFL iBT: 80 [-]

Master in Computer Sciences

University of Geneva
Campus 3 semesters February 2017 Switzerland Geneva

The Master in Computer Sciences rovides comprehensive, multidisciplinary training in the information and communication sciences. It includes courses in various areas, such as science, economics and social sciences, on subjects like data-mining, information research, man-machine interfaces, cryptography and security, distributed computing, automatic language processing and knowledge modelling. [+]

Best Part time Masters in Computing 2017. Master in Computer Sciences The Master in Computer Sciences rovides comprehensive, multidisciplinary training in the information and communication sciences. It includes courses in various areas, such as science, economics and social sciences, on subjects like data-mining, information research, man-machine interfaces, cryptography and security, distributed computing, automatic language processing and knowledge modelling. The programme benefits from the excellent synergies that exist within the Computer Science Centre (CUI). Students may also enhance their training with a three-month work placement in a company. This Master’s programme provides students with solid skills in computer science as well as special expertise within their chosen area of specialisation. Curriculum Required courses (30Credits): Information processing and analysis; Metaheuristics for optimisation; Software modelling and verification; Systems modelling and design; Semantic web technology; Seminar of introduction to research; Linguistic and empirical approaches to language processing. Electives (30Credits): Advanced tools; Modelling and simulation of natural phenomena; Security of information systems; Techniques in man-machine interaction; Seminars on emerging industrial and scientific topics; Service innovation lab; Services – from concept to market; Knowledge organisation systems; Project on new information and communication technologies (NTIC); Topics in natural language processing, etc. Dissertation (30Credits) Mobility Students may earn up to 30 credits while on exchange. They may also conduct research outside the university under the supervision of a faculty member, or do a work placement at a leading external laboratory in order to complete their Master’s degree. www.unige.ch/exchange Opportunities A Master in Computer Science leads to a number of opportunities both in Switzerland and abroad, in areas such as: Analysis and management of large volumes of data (Big Data) Network management Project management Teaching IT firms Banks Service industry Administration and public services. Admission Criteria A Bachelor in Computer Science or an equivalent degree, as determined by a review of the candidate’s application. Prerequisites may be required. Applications Deadline: 30 April 2017* (28 February 2017 for applicants who require a visa under Swiss Confederation regulations) www.unige.ch/immat admissions.unige.ch *Candidates who hold a Swiss Bachelor or equivalent degree and have not been able to meet this deadline may contact the Faculty’s academic advisor and the person in charge of the Master’s programme to find out if it is possible to join the course. [-]

Master in Applied Computing in Engineering and Science

Siberian Federal University
Campus 2 years October 2017 Russia Krasnoyarsk

Siberian Federal University (School of Space and Information Technologies) offers English-taught Master's Degree Program “Applied Computing in Engineering and Science”. [+]

Siberian Federal University (School of Space and Information Technologies) offers English-taught Master's Degree Program “Applied Computing in Engineering and Science”. Rapid development of computational methods enabled to implement new approaches in different areas, e.g. engineering, economics, bioinformatics, environment sciences, social sciences, etc. In research and development, as well as in management, we can see the trends to: creating mathematical models for descriptions and simulation of real systems, their properties and behavior; using complex statistical methods in order to evaluate the chances of certain cases and reliability, e.g. in quality assurance, setting up parameters of social security systems, cancer research, etc. Therefore, specialists having good knowledge and skills in computing are rather required by the labor market in all developed countries. This program was developed in the framework of the EU Tempus program in cooperation with: Technische Universitat Wien (Austria), Bergische Universitat Wuppertal (Germany), Katholieke Universiteit Leuven (Belgium) and other universities. It focuses on mathematical methods in applied sciences (simulation of complex mechanical and physical systems), numerical methods and symbolic computation. The program curriculum and research projects proposed for our students are based on more than 20 years long cooperation with the leading producer of Russian GLONASS navigation satellites — Reshetnev center situated near Krasnoyarsk. Many of our courses are aimed at application of navigation signal processing. Our local supercomputing cluster provides the necessary research and training facilities. Entry Requirements BSc or MSc degree in Mathematics, Physics or Computer Science (transcript of records), good command of English (certificate or other document). Accommodation On-campus accommodation is available in double and triple-occupancy rooms (€ 20 per month). Airport transfer, invitation letter for a Russian study visa and an optional survival course of Russian as a foreign language are provided by the University. [-]

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... [+]

Best Part time Masters in Computing 2017. 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 [-]