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.

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Master in Data Science

Bologna Business School
Campus Full time 12 months December 2016 Italy Bologna

The Master in Data Science is designed for recent graduates interested in management and data analysis and whom would like to take on a role which is central to any business and its value creation: the Data Scientist, having already become one of the most sought-after experts in the professional world. The data business is becoming a key sector for the European economy, the development of products and... [+]

Masters in Computer Science in Europe 2017. The Master in Data Science is designed for recent graduates interested in management and data analysis and whom would like to take on a role which is central to any business and its value creation: the Data Scientist, having already become one of the most sought-after experts 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. In one word: Big Data, but not exclusively. Companies, in fact, have both a need and an urgency to manage the acquisition, presentation, sharing, analysis and visualization of data. The 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, am understanding of the technological aspects and knowledge of business dynamics. This Master creates professionals with across-the-board skills whom are able to relate with the company’s management. The program concludes with a Field Laboratory Work and a company internship. 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 three terms: First cycle: December 2016 – April 2017 Second cycle: April 2017 – July 2017 Internship: August 2017 – December 2017 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. Fees The tuition fees for the 2016/2017 academic year are 14,800 euros to be paid in several instalments, the first one upon enrollment. The fees cover all academic materials via the online learning platform, all the facilities of the Alma Bologna Business School including use of the computers and secure personal Wi-Fi accounts, access to the study areas and gym, as well as student discount in the School’s cafeteria. Free parking is also available within the grounds of the School. In addition, with your University of Bologna Student Card you will have access to all university facilities with more than 100 libraries (including online subscriptions and databases), the 3 city centre canteens and all university student related discount offers. Scholarship/Financial Aid At Bologna Business School we understand the importance of financial aid in supporting our students in achieving their educational goals. We are aware that an advanced, high quality training path can be a significant commitment but we also truly believe that investing in one’s future always pays back. Bologna Business School is pleased to offer partial scholarships to the most meriting students: there are scholarships of 6,000 euros each and scholarships of 4,000 euros each. All applicants will be considered for a scholarship – no specific application is required. Thanks to the agreement between Bologna Business School and Intesa Sanpaolo, participants are eligible to apply for “PerTe Prestito Con Lode”, a long-term and low-interest honor loan. Main characteristics: Loan amount equal to the enrollment fee Reduced interest rate No collateral required Repayable in 10 years Without early closing fees [-]

Master of Data Science

Harbour.Space
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. [+]

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 [-]

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. [+]

Masters 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 in Applied Informatics

Vytautas Magnus University
Campus Full time 2 years August 2017 Lithuania Kaunas

Programme is oriented towards today’s and tomorrow’s application domains, covering data retrieval, robotics, artificial intelligence, neural networks, data visualisation, distributed and [+]

Unique Features Programme is oriented towards today’s and tomorrow’s application domains, covering data retrieval, robotics, artificial intelligence, neural networks, data visualisation, distributed and cloud computing. Competencies Acquired - Knowledge and understanding of data mining techniques and their applicability in different domains. - Knowledge and understanding of the design and implementation of intelligent and adaptive systems. - Knowledge of professional development of commercial and social IT products using modern computer platforms, and estimation of their demand, impact and relevance to users, enterprises or organizations. - Ability to perform interdisciplinary R&D in data mining and data analysis field, apply research results in practical applications. - Ability to perform interdisciplinary R&D in natural language processing and information retrieval field, apply research results in practical applications. - Ability to perform interdisciplinary R&D in systems analysis, modelling, identification and control field, apply research results in practical applications. - Ability to apply data mining techniques for the analysis of diverse data (sound, ECG, EEG). - Ability to analyze, formalize and model systems and processes of different complexity. - Ability to apply Natural Language Processing techniques. - Ability to apply parallel programming skills for the development of concurrent distributed and multi-core/-processor systems. - Ability to design multiplatform services and applications, integrating intelligent and adaptive technologies. - Ability to clearly and convincingly present problems and suggested solutions to experts and non-experts, using ground knowledge, reasoning, relevant presentation tools and methods. - Ability to professionally communicate and collaborate in distributed IT projects. - Ability to critically analyse IT projects and their influence to business, culture and society context. Career Opportunities Graduates of Applied Informatics will be able to work as programmers, software architects, analysts, consultants, project managers, department managers in different organizations, state institutions and business units; as researchers, scientific workers, assistants and lectors in science and education institutions. Graduates will be able to establish their own information technology business companies. Graduates of Applied Informatics may continue studies in PhD studies in informatics (Computer Science) or Computer Engineering. [-]

Master degree in Mathematics and Computation

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

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

Masters in Computer Science in Europe 2017. Academic degree: Master (Bologna 2nd cycle degree) ECTS: 120 Duration: 2 curricular years Regime: Normal Place: Gualtar Campus, Braga Main Scientific area: Mathematics The Master Degree on Mathematics and Computer Science is a Mathematics graduate course with emphasis on computational solutions to mathematical problems and the application of those solutions in science and technology, including Computer Science. The main scientific areas of the course are Computational Discrete Mathematics, Computer Science, and Numerical Mathematics, areas which play a central role in the modern technologies. The applications include, among many others, image processing, computer-aided design / manufacturing (CAD/CAM), secure and reliable communication technology, and formal verification of software. The course gives not only the opportunity to use advanced computational tools like symbolic computational system and libraries of scientific computing, but also the necessary instruction for the analysis and implementation of new algorithms. The course results from collaboration between the Departments of Mathematics and Informatics of UM. Career opportunities Consultancy, software industry, departments of information and communication technology in any economic sector, departments of research and development in the same technological areas [-]

Master in Informatics, Electronics and Radio Engineering

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

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

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

Master in 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. [+]

Masters in Computer Science in Europe 2017. The Master in Innovative Software Systems: Design, Development & Applications program offers systematic mathematical, programming, and economic training. After completing the program, our highly qualified Master's graduates will have acquired the skills to succeed at research, analytics or practical implementation, development and research of modern software, mathematical methods and models of objects, systems, processes, and technologies for computer vision applications in science, technology, medicine, and other industries (such as robotics, mobile systems in aeronautics, astronautics, for submarine installations, transport, etc.). Among the competitive advantages of this program is the opportunity to take a step forward and bridge active radar data with passive computer vision and the appropriate methods of object identification based on sparse and uncertain information, drawing on the latest scientific achievements of the faculty staff, the Institute for Systems Analysis of the Russian Academy of Sciences, and Cognitive Technologies. In addition to the classical image processing, optimization, pattern recognition methods, and information technology, this program unveils modern approaches to artificial intelligence and most recent scientific advances in cognitive technologies, significantly enhancing the capabilities of such systems. The curriculum is presented by leading experts of the Institute for Systems Analysis of the Russian Academy of Sciences, Cognitive Technologies and Moscow Institute of Physics and Technology. All instructors have high scientific potential and broad practical experience in the area. The staff of the Engineering Cybernetics Department provide a high-level instruction in mathematics and advanced computer training for Masters. Students from this department have repeatedly won IT competitions, national and international academic competitions in programming, and made the finals at the International Collegiate Programming Contest. Admission Admission to International Master’s Programs at MISiS is open to both Russian and international students. Given that all classes will be conducted in English, we recommend that nonnative speakers of English achieve a TOEFL score of at least 525 (paper based) or 200 (computer based) prior to admission. To apply for a two-year Master’s program at MISiS, the applicant must hold a Bachelor’s degree in a related field. Upon the completion of the program of study at MISiS, the applicant will receive a Russian State diploma and a European Diploma Supplement. Admission Deadline The deadline to submit the application for Fall 2016 is 15 March 2016. [-]

Master's Degree In Mobile Computing

Universidad Pontificia De Salamanca
Campus Part time 1 year 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/ [-]

Master Library & Information Science,Digital Library & Information Services

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

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

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

 

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


MSc in Computing Science

Radboud University
Campus Full time 2 years September 2017 Netherlands Nijmegen

This Master's Programme in Computing Science trains you to become a specialist who is able to find solutions to these problems. You will receive a thorough theoretical training and learn to think creatively. In this way you will be able to contribute to developing future techniques. [+]

Computer systems now penetrate virtually all facets of society and personal life in what is commonly referred to as ambient computing. But ensuring the safety, reliability and quality of these systems is a growing problem. This Master's Programme in Computing Science trains you to become a specialist who is able to find solutions to these problems. You will receive a thorough theoretical training and learn to think creatively. In this way you will be able to contribute to developing future techniques.

Experts in Computing Science

This programme is closely related to the research carried out within the Institute for Computing and Information Science (ICIS). You will be trained by top researchers and ICT experts. Research at ICIS centres on three themes: Model-based System Development, Digital Security and Intelligent Systems. Our research in these areas is leading the field internationally. ICIS researchers recently broke the Mifare Classic RFID chip that is used by millions, for instance, in the London Oyster card and the Dutch OV chip card. You choose a research group that fits your own interests and then become involved in its ongoing research. ... [-]

Master in Mathematics and Computer Science

National Research Lobachevsky State University of Nizhni Novgorod
Campus Full time 2 years October 2017 Russia Nizhny Novgorod

The programme aims at developing professionals for systems integrators and software companies, large and medium-sized enterprises. [+]

Master’s degree programme in Mathematics and Computer Science aims at developing professionals for systems integrators and software companies, large and medium-sized enterprises with their own IT departments, research organizations conducting research and development in the field of high technology.

Graduates of the programme are specialists in the field of mathematics and computer science. The Master's programme focuses on computer modeling, simulation and visualization of technological and economic processes. This allows graduates to work not only in the field of information technology where they need to process and present the information, but also in areas requiring the development of mathematical models, data analysis, developing computational algorithms and their implementation. ... [-]

Dual International Masters in Mathematical Informatics

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

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

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

Master 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: 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 1 year 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. [+]

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. [-]

MSc in IT Project Management

Warsaw School Of Computer Science
Campus Full time 2 years October 2017 Poland Warsaw

The Master of Science in IT Project Management program offers students knowledge and skills needed to solve real-world IT project management problems. Project management is the discipline of organizing, securing and managing resources so as to complete the project within the defined scope, time, cost and quality constraints within acceptable levels of risk. [+]

Masters in Computer Science in Europe 2017. The Master of Science in IT Project Management program offers students knowledge and skills needed to solve real-world IT project management problems. Project management is the discipline of organizing, securing and managing resources so as to complete the project within the defined scope, time, cost and quality constraints within acceptable levels of risk. The Master of Science in Project Management program, along with a valuable academic qualification, provides students with the professional expertise needed to plan and execute a range of IT projects and to avoid typical pitfalls of missed deadlines and mismanaged resources. Additionally, the program enables students to gain experience in currently-available project management methodologies, and introduces new developments regarding management decision support tools like simulation and artificial intelligence techniques. Because of evolving character of the discipline students are taught concepts and skills required to develop new, or enhance existing, procedures to solve project management problems. The program consists of six mandatory courses and six elective courses which are listed below. Mandatory courses: • IT System Modeling and Analysis • Advanced Software Engineering • Project Management (double module) • Project Management Methodologies • Simulation Models and Expert Systems Elective courses (students choose six of the following): • Advanced Database Systems • Data Mining • Programming Principles and Practice • Distributed Processing • Mobile Systems • Advanced Operating Systems • Computer Networks • Web Technologies • Applied Operations Research ADMISSION DOCUMENTS - The admitted student is required to submit to the Registration Office the following documents: Bachelor's / Master's diploma or its official duplicate issued by the university; Copy of the High School Diploma (original for request); Medical certificate stating there is no impediment to their taking up studies in the chosen area; A copy of health insurance for the duration of studies in Poland, including a copy of the insurance in case of illness or accident covering the full period of studies in Poland; Four passport-sized photos with the name put at the back side (pictures in a 35x45 mm format, on a bright background without the headgear) Proof of payment of the recruitment. Additionally - Foreigners should submit original Polish translation of documents mentioned above issued by the certified Polish translator; Legalization or an apostille diploma (made by Polish Embassy) ; A copy of the visa, residence card, passport or other document authorizing foreigners to stay on the territory of Poland (if visa procedure fails, the University returns the tuition fee to the applicant account). [-]