Master's Program in Computer Science in Europe

See Masters Programs in Computer Science in Europe 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.  


Europe, one of the world's seven continents, is usually known as the westernmost peninsula of Eurasia. Second smallest continent, with 10,180,000 (km2), the area regroups 50 countries.

View all Master Programs in Computer Science in Europe 2017

Read More

Master Sensor System Engineering (SSE)

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

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

Masters in Computer Science in Europe 2017. Sensor System Engineering: Passionate about technology and engineering? ​​ Are you open minded, do you like to stretch boundaries to find out what is out there? Can you apply yourself, developing new ways to move the technology ahead, specifically in the health domain? Then take a moment to consider the opportunity to join us for one year to complete the Sensor System Engineering (SSE) honours master's programme.​​​ Programme overview General knowledge about sensor applications needed for any type of specialisation Specialised knowledge involving sensors in the health domain Honours content Master's thesis project (30 ECTS) General knowledge about sensor applications needed for any type of specialisation Linear algebra (4 ECTS): mathematics required for the next modules. Advanced data analysis (4 ECTS): integrating data coming from multiple complex sensors and to interpret this data correctly Modelling & simulation (4 ECTS): theory and tools required to model complex systems and to analyse and represent simulated data. Data centric architectures (4 ECTS): the architectural design of sensor systems at the level of of system architectures for big data applications and at the level of digital signal processing (DSP). Specialised knowledge involving sensors in the health domain Products and services in Health (4 ECTS): using real cases to learn the full design process of a health related sensor system. Sensor applications in Health (3 ECTS): exploration of sensor applications in biology, technology, diagnostics and application in health environments like hospital and home care. Honours content Professional skills (3 ECTS): learning to excel in the professional fi eld by developing essential professional, non-technical skills. Research & ethics (5 ECTS): learning necessary research skills as well as the ability to reflect on ethical issues. Community contribution (1 ECTS): forming a network for the students to help them solve particular problems in a multidisciplinary setting. Master's thesis project (30 ECTS) A six month research project in the domain of sensor technology and health in industry, a research institute or university department, resulting in a master's thesis. [-]

Master in Data Science

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

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

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 Applied Computing in Engineering and Science

Siberian Federal University
Campus Full time 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”. [+]

Masters in Computer Science in Europe 2017. 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 Software Engineering and Management

Heilbronn University
Campus Full time 3 semesters October 2017 Germany Heilbronn

The M.Sc. Software Engineering and Management has been tailored to the needs of students who are interested in interdisciplinary approaches and seek a good foundation for their future careers. [+]

Where the technological, organisational and entrepreneurial aspects of software development meet, you enter the exciting world of Software Engineering and Management At the heart of complex, multidimensional organisations, software engineering involves more than just the development of modern information systems. Consequently, software engineers need to move beyond the boundaries of their job-specific expertise and enhance their professional profiles by acquiring managerial and interpersonal competences. Software engineers who aim to be future business leaders should not only possess such multiple skills, but should be able to translate theoretical knowledge into business practices, engender interdisciplinary dialogues and communicate successfully in an international and intercultural environment. The M.Sc. Software Engineering and Management has been tailored to the needs of students who are interested in interdisciplinary approaches and seek a good foundation for their future careers. CAREER PROSPECTS The global world is characterised by steadily expanding world-wide networks, on the one hand, and a global shortage of IT experts, on the other. As a result, there is a growing demand for software engineers who can look forward to well-paid positions in industry. Thus, the job prospects for Master students in this field are highly promising. Prospective employers of our graduates are internationally operating companies which require a broad range of skills as well as specific expertise in software development. Alternatively, job openings may be provided by small and medium-sized enterprises which develop software solutions for larger companies. Finally, by successfully completing this Master programme, our graduates will be well equipped to set up their own business or to develop and perform software projects all over the world. OBJECTIVES Job prosperity in software engineering not only depends on subject knowledge but also on project and change management experience. Moreover, intercultural and interpersonal competences are crucial for software engineers who seek to take appropriate management decisions and to act confidently and responsibly in a challenging business environment. For this reason, the Faculty of Informatics has designed this postgraduate programme to qualify first-degree graduates for management and leadership positions in international IT organisations. This course has been created in close consultation with business, industry and the engineering professions to ensure the employability of the prospective graduates. Cooperating companies are, inter alia, AUDI AG, Daimler AG, Bosch Engineering GmbH, Würth GmbH and SAP AG. FACULTY Heilbronn University has appointed a body of notable academics who possess unique competences that derive from their qualifications and professional experience. They have all worked in industry or commerce and understand, at first hand, the challenges presented by a global business world. Moreover, most tenured lecturers are involved in (inter)national research projects. Academic partnerships and exchange programmes with a number of universities all over the world allow our students to gain experience in an international software engineering context. Such partner institutions are Edinburgh Napier University in Scotland, Dundalk Institute of Technology in Ireland and the Universidad Politécnica de Valencia in Spain. These partnerships may include projects with virtual international student teams as well as video conferences and other form of on-line collaboration. Programme Structure The Master of Software Engineering and Management can be obtained in 3 semesters. The first two semesters cover the following four major areas providing a sound theoretical basis in each field and preparing students for a number organisational and leadership tasks in international software engineering organisations. Computer Science Applied Software Engineering Information Systems in Business Leadership, Intercultural and Interpersonal Competences The final semester is dedicated to the Master Thesis which is accompanied by a colloquium. The thesis may deal with a topic of interest motivated by contemporary research or be commissioned by a cooperating organisation. Each thesis is supervised by two examiners one of whom may be an external professional. SPECIFIC PROGRAMME FEATURES The M.Sc. Software Engineering and Management offers a number of specific benefits and assets such as lectures delivered exclusively in English, a favourable student-lecturer ratio, an interdisciplinary curriculum, integration of management and engineering practices, a clearly structured and timeefficient schedule, sustained teaching quality by systematic student appraisal, state-of-the-art facilities, innovative forms of teaching, creative forms of learning, e.g. problem-based and blended learning. Using case studies and working in teams not only improves analytical and problem solving capacities but familiarizes them students with methodological and creative problem solving techniques and the relational skills which are vital for future business leaders. ENTRY REQUIREMENTS Successful applicants fulfil the following entry requirements: An excellent or good German(average grade of 2.5 or less) or European Bachelor degree (minimum 210 ECTS) or an equivalent international qualification (attested by an ASK certificate) in Computer Science or a closely-related field. Candidates who have obtained 180 ECTS for their first degree can acquire an extra 30 ECTS in appropriate Bachelor programmes at Heilbronn University. An excellent or good German, European or International Bachelor degree in any other field if applicants can provide proof of additional course-related educational or vocational experience acquired in the previous three years. A high level of proficiency in English attested by the following scores: TOEFL pbt: 550; cbt: 213; ibt: 79; IELTS: 6.0 or CAE: minimum C; Results must not be older than 2 years. Why study at Heilbronn University? Heilbronn, a location of choice Heilbronn University is located in the heart of a bustling economic region at a convenient distance from the commercial and cultural hubs of Stuttgart, Mannheim and Heidelberg. Its three campuses in Heilbronn, Künzelsau und Schwäbisch Hall span the central Neckar region in which they embody the spirit of teaching, learning and research. Formerly a School of Engineering, Heilbronn University has prospered and developed into one of the major Institutes of Higher Education in Baden-Württemberg, providing not only innovative research but also attractive academic study programmes which are aligned to the economic heartbeat of the country. The university off ers over 46 vocationally-oriented as well as knowledgebased Bachelor and Master courses up to 8,000 students in the fi elds of Engineering, Business Studies and Information Technology. A partner of commerce and industry The greater Heilbronn area is renowned for its successful companies, many of which support Heilbronn University. In the past two decades, the close collaboration has engendered a series of future-focused, interdisciplinary study programmes which have been added to the traditionally region-specifi c courses of Heilbronn University so that it now qualifi es its students for regional, national and international organisations. International networks Heilbronn University has forged sustainable links with more than 100 reputable international univer sities enabling students to gain interpersonal and intercultural experience while improving their linguistic profi - ciency in a foreign language. Student mobility is further assisted by the university’s International Offi ce and by the academic coordinators of each faculty who advise students on the study programmes pursued abroad. An excellent learning environment Heilbronn University has placed research and instruction at the heart of its activities while committing to creating optimal conditions for knowledge transfer and learning. More than 300 lecturers and members of staff ensure a learning environment in which the students can thrive and prove their academic mettle. This is enhanced by a favourable teacherlearner ratio which results, inter alia, in effi cient teamwork and highly satisfactory learning outcomes. The modern language programme on off er comprises mandatory modules in Arabic, English and Russian as well as optional classes in Spanish, French, Italian and German as a foreign language. A family-friendly place of study In order to support students with small children, Heilbronn University runs a day-care and crèche service which is available fi ve days a week throughout the year. For this reason, the university has repeatedly received the prestigious German award of “Family-Focused Institution of Higher Education”. Heilbronn: a city for students Heilbronn is a vibrant regional centre which enjoys a diverse cultural scene including concerts, theatre, cinema, literature readings, art exhibitions, and other cultural events. Heilbronn city centre, with its newly designed pedestrian precinct, off ers a great opportunity to enjoy leisurely walks and shopping expeditions. A large number of cafés, beer gardens, pubs and excellent restaurants invites visitors and locals to relax and enjoy their culinary delights. Active students fi nd a large number of clubs where they can pursue their favourite sports. Public parks and promenades along the river Neckar are ideally suited for walking, cycling and inline skating. Students can also keep fi t in public swimming pools, on ice rinks and in climbing halls. In other words, the name of Heilbronn stands for quality of life. Forests, vineyards and parks are characteristic of the town and its surroundings. Heilbronn is famous for its outstanding wines which can be sampled by visitors and locals alike in cosy rural wine taverns and at the annual local wine festivals. Heilbronn has excellent rail and motorway connections providing swift access to the major cities of the area. Students also benefi t from a low-cost regional travel card which covers the university’s three campuses and the greater Heilbronn area. Heilbronn forms part of Franconia, a German region which is steeped in history and cultural traditions. The economic signifi cance of HeilbronnFranconia is impressive too. Local enterprises have produced many global brand leaders and export their innovative products to over 80 countries. Companies such as Audi, Bausparkasse Schwäbisch Hall, Berner, Bechtle, Bosch, Bürkert, ebm-pabst, Lidl & Schwarz, Mustang, Optima Stahl, Würth and Ziehl-Abegg, which have conquered the world’s markets, have their roots in this region. This inspiring entrepreneurial network, maintained and fostered by Heilbronn University, provides students and grad - uates with exciting international employment opportunities and career paths. International Student Services Whenever possible, students are allocated a room in the university’s student halls. All students have access to a constantly up-dated database listing furnished and reasonablypriced apartments which they can rent. Heilbronn University welcomes students who have special needs. They are given individual advice tailored to their needs on contacting the International Offi ce. In addition the following support is off ered to students: free membership in faculty-basedstudent organisations, detailed advice on handling residence permits and opening a personal bank account, guided tours to sites of particular interest, on-campus German classes, assistance in fi nding work placements and temporary jobs, preferential access to cultural events, ccess to university library services and the internet, information on the scholarships available to international students [-]

Graduate Diploma in Information Technology

Campus Full time 2 years September 2017 France Paris

Epitech offers a 2-year Graduate-level curriculum in English, open to international students. The Epitech educational model is designed to help students learn how to apply their knowledge in practical situations instead of just learning theory. [+]

Masters in Computer Science in Europe 2017. Graduate Diploma in Information Technology: The Innovation Track Please note that students need a Bachelor level to apply to the Graduate program. Epitech offers a 2-year Graduate-level curriculum in English, open to international students, called Innovation Track. The aim of the program is to help our students reach a new level of expertise and build their own unique profile by staying in an innovative mindset and turn them into innovative experts able to create the digital world of tomorrow. The program lasts 2 years. Each student's first year is organized according to their profile, around "compulsory Core courses" and "chosen electives". Students will acquire both technical and methodological knowledge. During their second year, students will either specialize or diversify their knowledge according to their professional project. Epitech Innovative Projects (EIP) come to an end and students are ready to enter the job market. This year is the end of a cycle and serves as a stepping stone for the student's early career. The cycle allows for a large choice of electives per semester. These help provide students with new technical abilities and let them become professionals in various areas of expertise. Each student's curriculum is different and custom-built to promote diversity and let students be specialists in their field. A 6-months long internship, in a company or an incubator, takes place at the end of the curriculum. It serves as a unique springboard for students' career and allows to put their knowledge to work in real-life situations. 1st Semester 2nd Semester 3rd Semester 4th Semester SOFT SKILLS (20% - 4 weeks - 12 ECTS) SOFT SKILLS (20% - 4 weeks - 18 ECTS) SOFT SKILLS (50% - 10 weeks - 30 ECTS) INTERNSHIP (6 months - 30 ECTS) EIP (30% - 6 weeks - 9 ECTS) EIP (50% - 12 weeks - 12 ECTS) EIP (30% - 6 weeks - 9 ECTS) HARD SKILLS (50% - 10 weeks - [30 ; 50] ECTS) HARD SKILLS (30% - 6 weeks - [18 ; 30] ECTS HARD SKILLS (20% - 4 weeks - [12 ; 20] ECTS) CURRICULUM Core courses Network Web Service Design Database Algorithms and data structures Code quality System Administration Electives Hard skills : technical modules Bid Data Devops Data analysis Distributed systems design Advanced database architecture Artificial intelligence Cloud Devops Distributed systems design Microservices PaaS Web application Virtuality Artifical Intelligence Mobile Gaming Virtual Reality/Interactive Experiences User Experience/Design Digital Security Introduction to Digital Security Kernel Programming Systems Security Cryptography and Network Organisationnal Security Embedded Kernel Programming Mobile IOT Soft skills : Cross-functional modules Marketing/Strategy Strategic development Digital marketing Growth hacking Personal Development Shape yourself Professional efficiency Leadership Project management Planning ahead Agile Methodologies Scrum/Kanban Law/Finance/Accounting/.. General digital law & finance Financial planning/Business plan Fund raising/Incubation Product management Ideation/Innovation Design Thinking Lean startup This list is tentative and classes are subject to availability. [-]

Master's Programme in Embedded Sensor Systems

Mid Sweden University
Campus Full time 2 years September 2017 Sweden Sundsvall

Embedded Sensors can be found in all application domains: home/consumer electronics, medical electronics, vehicles, industrial, military and aviation and space. This Master Programme is design to provide the students with knowledge and understanding of technologies, method and tools for analysis and design of embedded sensors systems - both conceptually and in-depth. [+]

The courses in this master programme are designed to cover major aspect relating to design of embedded sensors systems such as sensing, processing, communication and energy supply with consideration for underlying technologies, design method and optimization, energy/power efficiency and measurement system. Programme students will participate with other international students in group- and individual-projects to acquire a deepened knowledge in a specific area through individual projects. Entry requirements Degree of Bachelor, Degree of Bachelor of Science in Engineering (at least 180 Credits), or equivalent, in Electrical Engineering/Electronics, Computer Engineering, Physics or Mathematics, with at least 22.5 Credits (22.5 ECTS) in Mathematics/Applied Mathematics and at least 15 Credits (15 ECTS) in Electronics Engineering. English course 6/English course B from Swedish Upper Secondary School (Gymnasium) or the equivalent. Title of qualification Degree of Master of Arts/Science (120 credits) Masterexamen med huvudområdet elektronik, translated into Degree of Master of Science (120 credits) with a major in Electronics or Teknologie masterexamen med huvudområdet elektronik, also translated into Degree of Master of Science (120 credits) with a major in Electronics, if the student has former studies of at least 30 credits in the subject of Mathematics. After the program After having completed the programme you will be able to work with research and development at high-tech companies specialising on for example telecommunication, multimedia and industrial electronics systems. Work experience contact We consider it important for business development and education to be closely linked. The programme is developed together with the industry based on their needs; this is why your project assignments have their starting point in problems identified by the companies or research institutes we are collaborating with. [-]

Master of Data Science

Campus Full time 2 years Open Enrollment Spain Barcelona

The MSc Data Science programme is designed for those who desire to deepen their comprehension of all aspects of the data sciences. Applicants could be graduates from other degrees with a strong mathematical core, or those continuing their academic pursuit after achieving a BSc in data science. [+]

Masters in Computer Science in Europe 2017. This program is taught in ENGLISH. The Master Degree program in Data Science is designed for those who desire to deepen their comprehension of all aspects of data science. Applicants could be graduates from other degrees with a strong mathematical core, or those continuing their academic pursuit after achieving a bachelor degree in computer science. PROGRAM STRUCTURE Year 1 Students begin the programme with foundational knowledge of 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 programme also offers the opportunity to obtain key soft skills for the professional world including technical project management, writing and presenting. Finally, students are expected to attend a substantial amount of talks and workshops offered by the university, as well as working on the Capstone project. Modules Combinatorics And Graphs Convex Optimization Information Theory Discrete Optimization Auctions Stochastic and Huge-Scale Optimization Computability And Complexity Probability and Statistics Statistical Data Analysis Machine Learning C++ JAVA Python Practical Unix Data Structures and Algorithms Parallel and Disrtibuted Computing R Databases Technical Writing and Presenting Technical Project Management Leadership and Group Dynamics Introduction to Interaction Design Web Graphs Capstone Project Seminars & Workshops Year 2 During the second year of the program students will primarily focus on learning the key applications of the data science as well as advanced methods in mathematics and data analysis. A significant part of the year will be allocated to the completion of the capstone project. Through completion of the programme, students will learn to conduct data analysis on any scale, develop the software necessary for analysis and present the results in a professional and efficient ways. Modules Nonlinear Optimization Robust Optimization Machine Learning Statistical Data Analysis Machine Learning on Big Data Stochastic and Huge-Scale Optimization Data Visualization Map Reduce Distributed Databases Technical Writing and Presenting Leadership and Group Dynamics Technical Project Management Big Data Analysis Cryptography Social Network Analysis Image And Video Analysis Text Mining Information Retrieval Machine Translation Algorithms in Bioinformatics Spectral Graph Analysis And Data Science App Capstone Project Seminars & Workshops 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 Andrei RaigorodskiiDr.Sci, PhD, Chair of the Department of Discrete Mathematics Konstantin MertsalovPhD, Director of Software Development Europe, Rational Retention Career Path Junior Data Scientist Data Scientist Senior Data Scientist Principle Data Scientist Chief Data 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 Program in Data Science

Barcelona Graduate School of Economics
Campus Full time 9 months September 2017 Spain Barcelona

Degree awarded: Official Degree in Data Science. [+]

The Master in Data Science at the Barcelona Graduate School of Economics offers thorough training in predictive, descriptive and prescriptive analytics. With this training, graduates will be prepared to design and build data-driven systems for decision-making in the private or public sector. The study program is organized around the following coordinates: Statistics and Machine Learning Optimization and Operational Research Data Warehousing, Business Intelligence and Big Data Analytics Economics, Finance, and Policy Making Courses are taught both by leading academics in the fields of Statistics, Economics, and Operations Research, and experienced professionals from the Analytics industry. The study program also includes top guest speakers who are currently expanding the frontier of knowledge in Analytics. The students learn how to put in practice what is taught in the classroom by using real data and answering real business questions from a wide array of companies from different industries. Students have the opportunity to solve an entire Analytics project end-to-end during the practicum in a local company. Upon successful completion of the program, students will receive a Master Degree in Data Science awarded jointly by Universitat Autònoma de Barcelona and Universitat Pompeu Fabra. All Barcelona GSE master degrees have been recognized by the Catalan and Spanish Education authorithies within the framework of the Bologna Process (in Spanish, “Master Universitario o Master Oficial”). [-]

M.Sc. Computer Science – Data Analytics

National University of Ireland Galway College of Engineering & Informatics
Campus Full time 1 year September 2017 Ireland Galway

Globally, there is a reported shortage of data analytics talent, particularly of individuals with the required deep [+]

Masters in Computer Science in Europe 2017. Big Challenges being addressed by this programme – motivation Globally, there is a reported shortage of data analytics talent, particularly of individuals with the required deep technical and analytical skills. (1) Accenture, Gartner and McKinsey have all identified Data Analytics as one of the fastest growing employment areas in computing and one most likely to make an impact in the future. The Irish Government’s policy is for Ireland to become a leading country in Europe for big data and analytics, which would result in 21,000 potential new employment opportunities in Ireland alone. (1) CNN has listed jobs in this area in their Top 10 best new jobs in America. 1) “Assessing the Demand for Big Data and Analytics Skills”, 2013-2020. Forfás Expert Group on Future Skills Needs, 2014. Programme objectives & purpose This is an advanced programme that provides Computing graduates with advanced knowledge and skills in the emerging growth area of Data Analytics. It includes advanced topics such as large-scale data analytics, information retrieval, data mining, natural language processing, and web data analytics. It also includes foundational modules in topics such as statistics and programming for data analytics. Students on the programme further deepen their knowledge of Data Analytics by working on a project either in conjunction with a research group or with an industry partner. Graduates will be excellently qualified to go into academic research or to pursue careers in industry in a wide range of areas. Opportunities include: - PhD-level research in NUI Galway, elsewhere in Ireland, or abroad - Multinational enterprises, in Galway and elsewhere, that provide services and solutions for analytics and big data; - Multinational enterprises whose businesses depend on analytics and big data technologies; - Innovative indigenous companies and leading-edge start-ups whose provide analytics solutions and products. What’s special about CoEI/National University Ireland Galway in this area: The MSc in Computer Science (Data Analytics) is being delivered by the Information Technology Discipline, in collaboration with the Insight Research Centre and with input from the School of Mathematics, Statistics and Applied Mathematics in NUI Galway - The Information Technology Discipline is NUI Galway’s Computer Science academic discipline, with a 25-year track record of education, research, and industry collaboration - The Insight research centre in NUI Galway is Europe’s largest research centre for Data Analytics - This programme opens the door for graduates for opportunities in PhD level research, careers in industry, or starting new ventures. Programme Structure 90 ECTS programme One full year in duration, beginning September and finishing August Comprises: - Foundational taught modules (20 ECTS) - Advanced taught modules (40 ECTS) - Research/Industry Project (30 ECTS). Programme Content Sample Modules - Statistics - Probability - Advanced Biomaterials - Linear Algebra - Digital Signal Processing - Programming for Data Analytics - Research Project Fundamentals - Open & Linked Data - Information Retrieval - Machine Learning & Data Mining - Learning for Information Retrieval - Tools & Techniques for Large Scale Data Analytics - Data Mining on the Web - Systems Modelling and Simulation - Case Studies in Data Analytics - Embedded Signal Analysis and Processing - Natural Language Processing - Data Visualisation Opportunity for number of Industrial & Research internships: Students enrolled on this programme will have an opportunity to apply for a one-year post-graduation internship in either a related industry or research group in Ireland. Scholarships   A number of scholarships are being made available by the College of Engineering and Informatics to non-EU students registered on these MSc programmes. Each scholarship will be valued at €2,500 and will be awarded to successful candidates based on the submission of a personal statement and CV to the College.    A number of industry sponsored Scholarships will also be available, each to the value of €2,500. Entry Requirements The M.Sc. is suitable for high-performing graduates of Computer Science and closely related degree programmes. Entry to the programme is open to individuals who have at least Second class honours, grade one in a Level 8 degree such as a B.Sc. in Computer Science or a BE in Computer Engineering, or another degree programme that is similar in content to the relevant undergraduate degrees offered by NUI Galway and is from a recognised university or third level college. How to apply Applications are made online via the Postgraduate Applications Centre (PAC). The PAC code for this program is GYE06. [-]

Master in Artificial Intelligence and Distributed Computing

Universitatea De Vest Din Timisoara
Campus Full time 2 years September 2017 Romania Timisoara

The Faculty of Mathematics and Computer Science offers study programmes in mathematics and informatics for around 1200 students. The Department of Computer Science offers BSc study programmes in Informatics (in Romanian and in English) and Applied Informatics (in Romanian), MSc study programmes in Artificial Intelligence and Distributed Computing (in Romanian and in English), Software Engineering (in Romanian) and Applied Informatics in Science, Technology and Economics (in Romanian), PhD programmes in Cloud Computing, High Performance Computing, Artificial Intelligence, Automated Reasoning and Theoretical Computer Science which are also the main research directions of the department members. [+]

The Faculty of Mathematics and Computer Science offers study programmes in mathematics and informatics for around 1200 students. The Department of Computer Science offers BSc study programmes in Informatics (in Romanian and in English) and Applied Informatics (in Romanian), MSc study programmes in Artificial Intelligence and Distributed Computing (in Romanian and in English), Software Engineering (in Romanian) and Applied Informatics in Science, Technology and Economics (in Romanian), PhD programmes in Cloud Computing, High Performance Computing, Artificial Intelligence, Automated Reasoning and Theoretical Computer Science which are also the main research directions of the department members (for details see The Artificial Intelligence and Distributed Computing Masters Programme taught in English aims to offer competences in designing intelligent systems with application in various scientific and technical fields and in using the most recent technologies in high performance computing and distributed computing. It is a two years programme organized in three semesters devoted to teaching and a fourth one focused on research activities and the MSc thesis preparation. The students have the opportunity to use the infrastructure of the High Performance Computing Lab (, participate to international research projects and to industrial projects conducted in collaboration with IT companies. Main course titles Distributed Systems Parallel Computing Systolic Algorithms Workflow Technologies Multi-agent systems Operational Research and Optimization Data Mining Term rewriting Metaheuristic Algorithms Advanced Logical and Functional Programming Distributed Methods and Technologies based on XML Automated Theorem Proving Data Structures and Algorithms in Parallel Computing Potential labour market positions following graduation The graduates can target positions in IT industry as distributed systems engineer, high performance computing software engineer, cloud platform developer, data scientist/engineer, machine learning engineer, analytics engineer. They can also choose a PhD path oriented toward cloud computing and/or machine learning, fields which are currently in high demand of specialists. The students interested in research can be involved in the projects conducted at the e-Austria Research Institute ( The HPC lab from the West University of Timisoara includes one of the most performant computing infrastructure in Romania. [-]

Master in Computer Science

Marconi University
Campus Full time 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. [+]

Masters in Computer Science in Europe 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. [-]

Master in Software Engineering - 2 years

Mälardalen University
Campus Full time 2 years September 2017 Sweden Eskilstuna

The growth and influence of software in business and our daily lives have been phenomenal. Software Engineering deals with design and development of high quality software systems and hence an [+]

Master in Software Engineering - 2 years

The growth and influence of software in business and our daily lives have been phenomenal. Software Engineering deals with design and development of high quality software systems and hence an increasingly important area in computer science. In these programmes you will gain theoretical knowledge and excellent practical skills in software engineering.

The Programme

During these programmes, students will acquire fundamental knowledge and excellent expertise in engineering software intensive systems, which imply the ability to cope with the complexity of understanding, designing and implementing such systems in the global workplace. The students will obtain knowledge of the principles for the analysis, design and implementation of large and complex software systems. The modern trends that will dominate future software development, including component-based software engineering, service-oriented architectures, interoperability and global system development will be taught.... [-]

Master in Informatics, Electronics and Radio Engineering

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

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

Masters in Computer Science in Europe 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 in Innovative Software Systems: Design, Development & Applications

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

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

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

Master of Engineering in Real Time, Steering and Supervision

Centrale Nantes
Campus Full time 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.


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. ... [-]