Master Degree in Computer Science in Europe

Top Master's 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.

Masters Degree in Computer Science in Europe

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Master in Data Science

Bologna Business School
Campus Full time 12  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. [+]

Top Master Programs in Computer Science in Europe 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 Sensor System Engineering (SSE)

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

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

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

Professional Master's Degree in Data Analytics

Sabanci University
Campus Full time October 2017 Turkey İstanbul

Big data is paving the way to empower businesses to make better decisions: With the amount of digital data increasing at an enormous rate, rigorous research is carried out in an effort to extract value from the massive data sets, to turn them into smarter decisions for improving business results. The emerging field of Data Analytics holds the key to unleashing that potential. [+]

Top Master Programs in Computer Science in Europe 2017. Big data is paving the way to empower businesses to make better decisions: With the amount of digital data increasing at an enormous rate, rigorous research is carried out in an effort to extract value from the massive data sets, to turn them into smarter decisions for improving business results. The emerging field of Data Analytics holds the key to unleashing that potential. Data Analytics is considered to be a relatively new field which integrates state-of-the-art computational and statistical techniques to extract business value from a rapidly expanding volume of data. Many consulting firms claim that Data Analytics will be one of the key skills of the 21st century. Most critical issue, however, is the shortage of analytical talent that could turn the high-volume data into useful information that will be used for better decision making. In a business world in which the gap between winners and losers is narrowing down, companies are increasingly turning to data analytics to gain a competitive advantage in productivity, profitability and sustainable manufacturing processes for better products and better services. To be able to do that, companies need trained workforce skilled in Data Analytics, who are equipped to manage, understand and model the data, interpret the outcome and communicate the results for business use. Professionals holding a degree in Data Analytics will be well positioned to help their organizations gain a competitive advantage in a data-driven world. This program is designed to help our participants develop the skill set needed for creating and maintaining the added competitive edge that innovative companies are trying to establish. Our curriculum will help you develop skills required for data-driven decision-making with a wide variety of courses such as: Programming, Data management and data processing, Data mining, Machine learning, Statistical models for data analysis, Optimization, Decision modeling, Exploratory data analysis and visualization, Social network analysis, Data privacy, security and forensic discovery, Information security law, Business communication, Project management, a capstone project and more. Admission Requirements Applications for non-thesis master’s programs are evaluated by the assigned Admission Jury. Suitable candidates are invited to a personal interview. Admissions are finalized by the approval of the related Graduate School Board upon the recommendation of the Jury and are announced to the applicants. Application periods can be found in the Academic Calendar of Sabanci University. Your registration will be completed upon the approval of Turkish Higher Education Council regarding the equivalence of the last graduated higher instution and the course of study. Program Structure Professional Master's Degree in Data Analytics is a 30-credit program that can be completed in one academic year. The courses are distributed across three consecutive semesters (Fall-Spring-Summer), each of which lasts 14 weeks. Students take 10 courses (excluding the Term Project) in total from various areas. The Term Project is a non-credit course. Who should apply Professional Master’s Degree in Data Analytics is designed for working professionals who are looking into developing their analytical skills with no interruption on participants’ careers. The expected participant profile: Graduates of disciplines with a solid quantitative background (e.g. computer science, engineering, mathematics, physics, statistics, economics and other fields with a quantitative focus), or All professionals who have ample work experience in a data-analytics-related area and are seeking in-depth training in Big Data Analysis. Skills Acquired Diagnose, understand, measure and evaluate data to enable better decision making within the organization. Define and apply appropriate methodologies for complex business problems. Interpret findings, present and communicate the results. Graduates can find work as data analysts, data managers, data modelers and data scientists in the financial institutions, healthcare industry, insurance industry, telecommunications industry, marketing and media firms, retail industry and government agencies. [-]

M.Sc. Computer Science – Data Analytics

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

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

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 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. [+]

Top Master Programs in Computer Science in Europe 2017. 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 http://research.info.uvt.ro). 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 (http://hpc.uvt.ro), 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 (http://www.ieat.ro) The HPC lab from the West University of Timisoara includes one of the most performant computing infrastructure in Romania. [-]

Master's Programme in Embedded Sensor Systems

Mid Sweden University
Campus Full time 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 Programme in Data Science

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

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

Top Master Programs in Computer Science in Europe 2017. 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”). [-]

Graduate Diploma in Information Technology

EPITECH
Campus Full time 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. [+]

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 in Discrete Models and Algorithms

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

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

Top Master Programs in Computer Science in Europe 2017. Study plans Discrete mathematics and combinatorial optimization and Mathematical structures in computer science provide advanced knowledge in the fields of applied mathematics and computer science. An emphasize is put on up-to-date theoretical and applied questions in the area. Study plans Optimization and Mathematical economics provide skills to solve difficult technical and economical problems with the use of optimization methods and suitable methods in mathematical economy. Entrance examination – Master's programme Applicants who will not sufficiently demonstrate the necessary background listed above by 9 May 2016, or with their application, will be invited to take the entrance examination in Prague. The entrance examination for a Master's programme at the Faculty of Mathematics and Physics at Charles University consists of four problems, each worth 25 points. In case of an incomplete solution a proportional number of points will be given. The maximum total score is 100. The minimum score for admission is 40 points out of 100. Depending on the study programme and study branch, the examination has the following structure: Master of Computer Science. All study branches: Computer Science (4 problems, e.g., logic, automata theory, programming, theoretical computer Master’s Entry Requirements The goal of the admissions review process is to select from the pool of applicants those individuals who have shown the best capability and diligence expected of Charles University students. To apply for our Mathematics or Computer Science Master's programmes delivered in English you must: - hold or be working towards a Bachelor’s or Master’s diploma and provide a certified copy thereof; in cases required by law, a certification of equivalence of education must accompany the application, - have sufficient academic background in the relevant fields (see below for details); this can be demonstrated by passing the specialized entrance examination in June 2016 in Prague that is organized by the Faculty of Mathematics and Physics, Charles University, or by providing transcripts (academic records) of your previous education accompanied by syllabi of the completed courses; promising students who do not have this background may be admitted with the provision that they complete the missing knowledge from Bachelor's courses, - have sufficient command of the English language; this can be demonstrated by providing your results in one of the standardized English tests that we recognize. You are also welcome to accompany your application by - a statement of purpose in which you describe your reasons for applying to the proposed programme, your study and possibly also research interests and future career plans, - letters of recommendation as recent as possible from professors and employers who can comment on your recent professional accomplishments and your qualifications for pursuing a Master's degree in mathematics or computer science. English Language Proficiency All applicants must have an adequate command of English in order to enrol at Charles University. An applicant’s proficiency level in English may be demonstrated by various language tests; any language test results should not be older than two years. The only exemption from this requirement is for students who have completed at least two years of their previous education with English as the sole language of instruction in one of the following countries: Australia, Canada, Ireland, New Zealand, UK, or USA. The table below summarizes the minimum requirements in the various tests of English that we recognize; you must meet the minimum score for at least one of the tests listed here, or provide us comparable results for other recognized qualifications (if in doubt please contact us to obtain specific required scores for other internationally recognized English Language qualifications). Test Minimum score TOEFL Paper / Computer / Internet based - 550 / 213 / 80 SAT Critical Reading and Writing - 550 in each part ACT English and Reading - 24 International Baccalaureate English - 6 The International English Language Testing System (IELTS) - 6.5 Cambridge ESOL FCE A level Cambridge ESOL CPE, or Cambridge ESOL CAE - Passed City&Guilds International ESOL, or City&Guilds International Spoken ESOL - Expert level The European Language Certificates - Level TELC English C1 UNIcert English for Mathematicians - Level C1 Melab - 77 Examination for the Certificate of Proficiency in English (ECPE) - Pass Test of English for International Communication (TOEIC) - 605 Vancouver English Centre (VEC) level / online score - 13-14 / 74 General State Language Examination in English in the Czech Republic - Pass Conditions for admission without entrance examination Academic background In this paragraph we summarize the minimum knowledge required for applicants in the various study programmes and study branches offered at our faculty. Master of Computer Science: background in calculus, linear algebra, discrete mathematics, probability, logic, computer programming, algorithms and data structures, computer organization, and the theory of automata and formal grammars. Information on the exercise of graduates Graduates have a broad range of possibilities to work in areas connected with applied mathematics and computer science. Graduates are able to solve complicated technical and economical decision problems. Solutions of these problems are based on methods of mathematical optimization and on methods solving conflict situations. Deep knowledge of modern mathematical methods enables the graduate to design mathematical models in complicated economical situations. Education in computer science provides skills to implement effectively the solutions with the use of fast computers. [-]

Master of Data Science

Harbour.Space
Campus Full time Open Enrolment 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. [+]

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 in Computer Science

Marconi University
Campus Full time 12  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. [+]

Top Master Programs 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. [-]

Degree 3iL Computer Engineer Cycle In 3 Years

3IL Groupe
Campus September 2017 France Limoges

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

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

Master of Engineering in Real Time, Steering and Supervision

Centrale Nantes
Campus Full time September 2017 France Nantes

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

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

Language of teaching

Courses fully taught in English during the two years.

TRACK: REAL TIME EMBEDDED SYSTEMS - EMBEDDED COMPUTER SCIENCE

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


Master's Degree In Mobile Computing

Universidad Pontificia De Salamanca
Campus Part time September 2017 Spain Salamanca

One of the most demanded professional profiles today by companies in the ICT sector is the Mobile Software Engineer. The demand for skilled professionals in this field is constantly growing both in Spain and internationally. [+]

Program Description One of the currently most in demand by companies in the ICT sector is the professional profiles Mobile Software Engineer. The demand for skilled professionals in this field is constantly growing both in Spain and internationally. The Master in Mobile Computing -Master MIMO-master is the official reference in the field of apps for mobile devices (phones, tablets and wearables). Students specialize in three major platforms: iOS, Android and Windows Phone. They will also be experts in implementing RESTful services and their deployment in major Cloud providers as well as design solutions using HTML5 platform. Since our students are highly recognized and valued by companies, 100% is the master work once completed. The Master provides real professional experience among its teachers with the best professionals in companies and also perform practices remunerated: Altran, atSistemas, Bq, CGB, Cognizant, Flag Soliutions, Indra Sistemas, Insa, Intelygenz, Liferay, MediaNet Software, Minube , PlanetMedia, Quadram, TalentoMobile, Tecnocom, Tuenti, Unisys, Urban Data Analytics, Wayook, Wembley Studios and others. If the student is working, you can apply for recognition of these credits. GOALS Train professionals with experience in the design and implementation of mobile applications for different platforms (iOS, Android, and Windows Phone) and device types (smartphones and tablets) Acquire knowledge on the latest technologies for the development of Cloud services Developing cross-platform applications based on HTML5 Gain real experience in business developing mobile applications Professional profiles Android software engineer iOS software engineer Windows Phone software engineer Backend developer frontend developer Mobile Team leader Development consultant for mobile devices CTO (Chief Technology Officer) Curriculum I. Technologies platform module 15 ECTS Client-side technologies. HTML5 6 ECTS Server-side technologies. ECTS Cloud 9 Module II. Native Technologies 30 ECTS IOS Application Development 10 ECTS Android Application Development 10 ECTS Windows Phone Application Development 10 ECTS Module III. Work experience 9 ECTS Module IV. Master's Thesis 6 ECTS Methodology Classes to be fully practices taught in computer room all kinds of mobile phones and tablets will be provided for students to do their jobs in a physical device MacMini computers are also provided in order to work at home The teaching is concentrated on Friday afternoons and Saturday mornings, ideal for those who are working or looking for their first job The teaching staff is made up of the best professionals of the best companies The student will carry out work experience Duration and price Start Date: September 2016 Duration: One academic year (September to June) Price: € 91.50 / credit (€ 5,490) Places available: 25 Location: Salamanca Contact: mimo@upsa.es http://www.web.upsa.es/mimo/ [-]

Dual International Masters in Mathematical Informatics

West Catholic University - Université Catholique de l’Ouest
Campus Full time 24  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. [+]

Top Master Programs in Computer Science in Europe 2017. 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. [-]