Master Degree in Computing in Europe

Search Masters Programs in Computing in Europe 2017

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

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

There are more than four thousand higher education organizations in Europe, from leading research institutions to small, teaching-focused universities. Europe itself is not as much different than other continents, reaching from the Arctic Circle to the coast of Africa.

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Master in Informatics, Electronics and Radio Engineering

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

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

Masters in Computing in Europe 2017. National Research University “Moscow Power Engineering Institute” provides Master Degree in Informatics, Electronics and Radio Engineering according to Russian State Educational Standard in the following directions: - Applied Mathematics and Informatics - Informatics and Computer Engineering - Control in Engineering Systems - Instrumentation - Electronics and Nano-Electronics - Radio Engineering WHY SHOULD YOU CHOOSE MPEI MPEI students have a chance to study at one of the most prestigious universities of Russia according to numerous rankings and surveys. For more than eighty years of history MPEI have trained a huge number of the qualified engineers, prominent scientists who were standing at the origins of many technical achievements, in particular, of laser creation. At MPEI the Nobel Prize winners A.D. Sakharov and P.A. Cherenkov worked in different periods. In the 20th century in the Special Design Bureau of MPEI, which possesses its own Center of Deep Space Communication, radio images of the Venus surface and a reverse side of the Moon were obtained for the first time. Among the most famous graduates of MPEI there are the ex-Chairman of the State Council of China Li Peng and the ex-President of Romania Ion Iliescu, Ministers of Engineering and heads of the engineering companies of many countries of the world. MPEI partners in science and education include about 140 foreign universities, and such well-known companies like ABB, Siemens, Schneider Electric, EPRI, Skoda, Samsung and others. Getting the unique training in any chosen field, MPEI graduates never have problems with subsequent employment and realize themselves in any chosen spheres. LANGUAGE OF EDUCATION Training in the field of Informatics and Computer Engineering is organized in English Medium. Training in the other fields is organized in Russian language. Those students who need to learn Russian are invited to MPEI Preliminary course which provides training of Russian language during 1 academic year. ACCOMMODATION CONDITIONS MPEI foreign students are provided with accommodation in MPEI hostel. The hostel under security surveillance has two-room blocks with a bathroom and a toilet in each block. Rooms are for two or three persons. There are also hostels of corridor type with double rooms. Rooms are equipped with furniture, bed linen is also included. On each floor of a hostel there is a common kitchen and a restroom. Internet connection can be provided for additional fee. In MPEI campus there are additional services like laundry, shops, repair offices, post-office, cultural centers, cafes and restaurants, etc. Accommodation fee is about 100 USD per month. INSURANCE All foreign students must have medical insurance for the whole period of education. MPEI works with insurance company which provides the most comprehensive insurance at a rate of 200 USD per year. [-]

Master in Computational Mathematics

Technical University of Ostrava
Campus Full time 2 years September 2017 Czech Republic Ostrava

Computational Mathematics has a distinct focus on the important areas of applied mathematics relative to other branches of Information and Communication Technology, which the students can use when dealing with practical problems in the workplace. [+]

Faculty of Electrical Engineering and Computer Science Study Branch Computational Mathematics Branch Profile Computational Mathematics has a distinct focus on the important areas of applied mathematics relative to other branches of Information and Communication Technology, which the students can use when dealing with practical problems in the workplace. Students gain a solid base for a career, or can continue in a doctoral programme focusing on the development of new methods for computational solutions of engineering problems with particular application in R&D. Computational Mathematics is a branch of the study programme of Information and Communication Technology. Key Learning Outcomes Knowledge The graduates in this study programme possess a broad and deep state-of-the-art knowledge and understanding of the branch of information technology, and a practical knowledge of applied mathematics, along with the selected areas of application. The knowledge in mathematics acquired during the Master’s studies constitutes an appropriate theoretical basis for further doctoral studies. Skills The graduates in this study programme can search for, sort out and interpret the relevant information to solve a defined practical problem. They can also deal with complex problems independently and creatively, using selected procedures that make use of information and communication technology as well as applied mathematics. - General competencies: A graduate is able to make independent and responsible decisions in new or changing contexts or in a developing environment with respect to broader social consequences, to coordinate the operation of a team and bear ultimate responsibility for the results. They possess communication skills that enable them to express the essence of a problem, to sum up their own opinions and the opinions of other team members in a comprehensible way, and to express the nature of technical problems. They are prepared for further studies in the doctoral programme focused on the utilization of applied mathematics. Occupational Profiles of Graduates With a good understanding of the theoretical aspects of mathematics, informatics and communication technology, a graduate is qualified for flexible adaptation to the requirements of the workplace, including research and development. A graduate can find employment practically in all areas that use information and communication technology, regardless of the subject field. Admission Requirements Determined by Dean, may include entrance examination, specific courses taken during bachelor studies, other formal documents. Graduation requirement 120 ECTS Credits, Final state examination, Diploma thesis Course Structure Diagram with ECTS Credits 30 ECTS credit per semester. [-]

Master in Cloud Computing and Services (CCS)

EIT Digital Master School
Campus Full time 2 years September 2017 Germany Berlin Netherlands Eindhoven Finland Espoo United Kingdom London France Paris Sweden Stockholm Italy Trento Hungary Budapest Spain Madrid + 16 more

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

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

Master in Computing Science

Umeå University, Faculty of Science and Technology
Campus Full time 2 years August 2017 Sweden Umeå

Our Master Programme in Computing Science is directed towards students how want to develop a deep understanding of the field, ... [+]

Our Master Programme in Computing Science is directed towards students how want to develop a deep understanding of the field, together with a scientific attitude characterized by logical reasoning and critical analysis. We want to make sure that you cannot only repeat and apply the facts you have learned, but also extend that knowledge by drawing your own conclusions. In the best of cases, this will enable you to continue your education on a PhD programme at Umeå University or somewhere else. At the very least, you should have acquired the knowledge and skills making it possible for you to work with challenging scientific problems in industrial research and development. Our teachers, who at the same time are successful scientists in the areas they teach, will help you to reach this goal.... [-]


Master in Computer Science

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

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

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

MSc Computational Science

University of Vienna
Campus Full time 2 years March 2017 Austria Vienna

The Master of Science degree programme, Computational Science, trains students to become experts in the computer-aided aspects of the natural sciences. This emerging and highly-demanded field is interdisciplinary, connecting computer science and mathematics with astronomy, biology, chemistry and physics. The programme focuses on computationally relevant aspects of research and data processing in each domain of science. [+]

Current natural science domain-specific problems are tackled by means of scientific and mathematical tools and translated into computer algorithms. Since only computational analysis allows in depth research of complex and highly interconnected systems, Computational Scientists employ "computer experiments" in order to investigate current issues, such as: cosmological models molecular medicine biological neural networks molecular dynamics drug development particle and quantum physics big data analysis and machine learning This interdisciplinary Master of Science degree programme stands out, due to the broad research areas in the MIN-fields (Mathematics, Informatics/computer science, Natural sciences – astronomy, biology, chemistry, physics). These are always discussed from a Computational Science viewpoint: Which research areas are being advanced by computer science? How is the advancement implemented and how can it be improved? Which areas of each natural science are computer-aided and need the supervision of experts? Students of Computational Science are prepared to address these questions and provide solutions as they are required to acquire the vocabulary of each domain of science due to the interdisciplinary structure of the programme. They learn to implement key concepts in practice through designing and conducting computer-aided research. The study program emphasizes: 1) Students from the various scientific domains are acquainted with the key concepts and topics of the other domain in the core programme. Thus, their knowledge base is brought to a common level, from which the implementation of computational aspects in the different natural sciences can be developed. 2) The shell programme enables students to focus on one natural science and integrate their computer programming skills to all MIN-fields via supplement modules. Computational Science nurtures lateral thinking of well-informed scientists with knowledge in computer science and mathematics across all natural sciences. The Computational Scientist offers comprehensive approaches and solutions and may act as competent mediators between experts in particular natural sciences. For more information, click here. [-]

Master in Computer Science

Harbour.Space
Campus Full time 2 years Open Enrollment Spain Barcelona

The Master Degree Program in Computer Science </strong> is designed for those who desire to deepen their comprehension of all aspects of the computer sciences. Applicants could be graduates from other degrees with a strong mathematical core, or those continuing their academic pursuit after achieving a Bachelor of Science in Computer Science. [+]

Masters in Computing in Europe 2017. This program is taught in ENGLISH. The Master Degree Program in Computer Science is designed for those who desire to deepen their comprehension of all aspects of the computer sciences. Applicants could be graduates from other degrees with a strong mathematical core, or those continuing their academic pursuit after achieving a Bachelor of Science in Computer Science. PROGRAM STRUCTURE 1 Year Students who begin the Master in Computer Science Degree already have a good foundation in programming and mathematics including data structures and algorithms, statistics and machine learning. During the first year their knowledge of mathematics, programming and data analysis will be significantly extended. The program also offers opportunity to learn the key soft skills for the professional world including technical project management, writing and presenting.First year students are expected to attend many of the talks and workshops offered by the university and being work on the capstone project. Modules Combinatorics and Graph Theory Graduate Algorithms and Data Structures Graduate Algebra Graduate Mathematical Logic Theory of Probability Mathematical Statistics Сomplexity Theory Object-Oriented Programming (C++) Python Practical Unix Java Programming Functional Programming Operating Systems Advanced Databases Networks Robotics Master's Machine Learning Statistical Data Analysis BIoinformatics Data Mining Technical Writing and Presenting Technical Project Management Leadership and Group Dynamics Introduction to Interaction Design Capstone Project-1 Seminars & Workshops-1 2 Year During the second year of the program students will primarily focus on learning key applications of the computer science as well as advanced methods in programming. A significant part of the year will be allocated to the completion of the capstone project Modules Automata Theory, Languages, and Computation Information Theory Discrete Optimization Nonlinear Optimization Cryptography Computational Geometry Parallel and Disrtibuted Computing Virtualization and Java VM Software Engineering Software Design Software Testing, Verification and Validation Compilers Big Data Analysis Data Visuailzation Mobile Application Development Computer Graphics Computer Vision Algorithms in Bioinformatics Spectral Graph Analysis and Data Science Applications Writing, Documentation, TeX, JavaDoc Information Technology Management Capstone Project-2 Seminars & Workshops-2 MATH AS A SECOND LANGUAGE (MSL) A Harbour.Space major requirement for all students in tech is a very good level of math. Anyone who lacks the strong math foundation they need for a career in tech, but is eager to learn has a home in our foundation course (link). Students acquire all the basic tools they need to continue studies in Computer Science, data Science or Cyber Security. Graduating from MSL means opening the doors to apply for a place at Harbour.Space University and any other top-rate tech university in the world. Programme Leadership Alexander OmelchenkoDr.Sci, PhD, Computer Science, Department Chair, St.Petersburg Academic University Career Path Software Engineer Systems Architect Director of Development Chief Technology Officer LIVING IN BARCELONA Studying in Barcelona has the following advantages: Barcelona is #1 in Europe for quality of life and clearness of environment (2012 Quality of Life City Rankings – Mercer Survey) Barcelona is #1 in the world for the level of infrastructure and urban development (2011, Ernst & Young). The region of Catalonia, where Barcelona is the capital, contributes significantly to the Spanish GDP. The growth of Catalonia’s GDP is currently 3.3%, much higher than in Europe on average. Catalonia’s exports are €42.2 billion, higher than in any other region of Spain. 7,000+ innovation and technological companies during the last 10 years. Barcelona is 6th in Europe for attractiveness and comfort for doing business (European Attractiveness Survey 2011, Ernst & Young), Barcelona is 2nd in Europe (after London) for being promoted as a business center (European Cities Monitor 2011); Barcelona is 2nd in the world for hosting different international conferences and congresses (City and Country World Report 2011, ICCA ). Barcelona is the host of the annual World Mobile Congress, which attracts thousands of international companies that work in the mobile industry. 7,000,000 + millions of tourists / year 20° C - average temperature during the day 2437 hours of sunshine/ year Cost of living 550 euro / month [-]

Master in Data Science

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

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

The Master in Data Science is designed for recent graduates interested in management and data analysis and who would like to take on a role which is central to any business and its value creation. A Data Scientist has already become one of the most sought-after specialists in the professional world. The data business is becoming a key sector for the European economy, the development of products and services based on data and the analysis of data collected in companies, public entities or that are available on social networks. The aim being to obtain operational indications and to identify new business opportunities. Big Data is a big challenge of today’s world, but we are training professionals to understand and create value from this complex information. Companies, in fact, have both a need and an urgency to manage the acquisition, presentation, sharing, analysis and visualization of data. Data Scientist is defined by the Economist as “the most interesting job of the twenty-first century, combining the skills of an IT technician, statistician and storyteller to extract the golden nuggets hidden under the mountains of data.” The Master in Data Science offers 3 different types of skills: solid computer training, an understanding of the technological aspects and knowledge of business dynamics. This Master creates professionals with across-the-board skills who are able to integrate with the company’s management. The program concludes with a Field Laboratory Work and a company internship. THE MASTER IS AN INVESTMENT. THE HONOR LOAN IS THE WAY TO FUND IT. “PerTe Prestito Con Lode”, a long-term and low-interest honor loan, with no collateral required to cover the full amount of the tuition fee. STRUCTURE The Master in Data Science is a full-time program structured in 1,500 hours of learning activities over 12 months of study, divided into: 360 hours of lecturing, an estimated 540 hours of independent study, and 600 hours of internship. The structure of the Master is divided into two terms: First term: December 2017 – April 2018 Second term: April 2018 – July 2018 Internship: September 2018 – December 2018 The Master offers a series of pre-courses at the start of the academic schedule: Software programming (Python), the foundations of data and SQL, basics in descriptive and inferential statistics, explorative data analysis and the fundamentals of economics. Classroom participation is about 30 hours per week structured in order to allow time to work in groups, while not neglecting individual students focus and management of interpersonal relationships. LEARNING METHOD The educational sessions provide different learning methods, including lectures, simulations, discussions of case studies and presentations by companies, testimonials, and group work. The curriculum is completed with master lectures held by professionals from the worlds of business, academia and politics, with opportunities for discussion and interaction with the business world through case histories. CAREER DEVELOPMENT Building synergies with businesses is a priority and a distinguishing characteristic of all programs of Bologna Business School, including the Master in Data Science. The School is fully dedicated to preparing students for the job market and it accomplishes this through systematic career development, with an ongoing commitment to combine the best professional projects by students with the demands of businesses. The internship is an excellent springboard to the professional world, evidenced by the fact that six months after completing the full-time master at Bologna Business School, an average of 85% of alumni are working in a company. [-]

Master in Computer Simulations for Science and Engineering COSSE

KTH Royal Institute of Technology
Campus Full time 2 years August 2017 Sweden Stockholm

The field of computer simulations is of great importance for high-tech industry and scientific/engineering research, e.g. virtual processing, climate studies, fluid dynamics, advanced materials, etc. Often the field is referred to as the [+]

Masters in Computing in Europe 2017. The field of computer simulations is of great importance for high-tech industry and scientific/engineering research, e.g. virtual processing, climate studies, fluid dynamics, advanced materials, etc. Often the field is referred to as the third pillar of science complementing theory and experiments. The joint programme Computer Simulations for Science and Engineering (COSSE) is a two-year master's programme offering a double degree from two universities. The students enter one of the universities and continue the second year at one of the other institutions in another country. COSSE offers education of the highest international standard as well as a unique experience of meeting different European cultures, languages, climate and nature. Students from any country are welcome to apply. A number of scholarships are available. The programme is a joint initiative of four European universities: - KTH Royal Institute of Technology, Sweden - Technical University of Berlin, Germany - Technical University of Delft, the Netherlands - Friedrich-Alexander University of Erlangen- Nürnberg, Germany Associated partner: Indian Institute of Technology Guwahati, India. Provides internships and shorter learning opportunities. [-]

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. [-]

Master in Computer Science

Marconi University
Campus Full time 12 months October 2017 Italy Rome

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

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

Master in Artificial Intelligence and Distributed Computing

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

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

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

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

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

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

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. [-]

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. ... [-]