Part time Master's Degree in Computer Engineering in Europe

View all Part time Masters Programs in Computer Engineering in Europe 2017

Computer Engineering

The benefits of a Masters extend beyond improving your earning potential. They can provide you with personal and professional skills to accelerate your development. They are also an opportunity to differentiate yourself from your peers, many of whom will have similar A-level and undergraduate qualifications.

A Master in Computer Engineering is a degree that emphasizes on the practical applications of hardware and software design. These include data acquisition, automation and manufacturing or communications. Graduates will be able to systems in a diversity of environments.

Europe is, by convention, one of the world's seven continents. Comprising the western most point of Eurasia, Europe is usually divided from Asia by the watershed divides of the Ural and Caucasus Mountains, the Ural River, the Caspian and Black Seas, and the waterways connecting the Black and Aegean Seas.

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Master's Programme in Embedded Sensor Systems

Mid Sweden University
Campus 2 years September 2017 Sweden Sundsvall

Embedded sensors can be found in home and consumer electronics, medical electronics, in vehicles, within industry, army and aviation, and even in space. The Master’s programme teaches you how to design embedded sensor systems and how to connect them to different products, programmes and apps and their features. The Master’s Programme in Embedded Sensor Systems was developed in cooperation with the industry and researchers and therefore, it responds to current and future market needs. [+]

Top Part time Masters in Computer Engineering in Europe. Embedded sensors can be found in home and consumer electronics, medical electronics, in vehicles, within industry, army and aviation, and even in space. The Master’s programme teaches you how to design embedded sensor systems and how to connect them to different products, programmes and apps and their features. The Master’s Programme in Embedded Sensor Systems was developed in cooperation with the industry and researchers and therefore, it responds to current and future market needs. This programme will provide you with broad knowledge of the different technologies that form the construction basis of embedded sensor systems. You will also gain understanding of the methods and tools you need for analysis and construction, both on an overall level and in-depth. In addition, you will learn to put your theoretical knowledge to practical use by means of close cooperation with the industry, in which you work with some of the companies’ real research projects. During your studies you will learn everything from the construction and programming of embedded systems to the connection to other features. The programme covers all the important parts of the process, such as data collection, processing, communication and energy supply considering the underlying technologies; design method, optimization, energy/power efficiency and measurement system. Our students work in projects, both individually and in groups, to gain advanced knowledge in different areas. The programme is taught in English, which will increase your opportunities on the global job market. Entry requirements Degree of Bachelor, Degree of Bachelor of Science in Engineering (at least 180 Credits), or equivalent, in Electrical Engineering/Electronics, Computer Engineering, Physics or Mathematics, with at least 22.5 Credits (22.5 ECTS) in Mathematics/Applied Mathematics and at least 15 Credits (15 ECTS) in Electronics Engineering. English course 6/English course B from Swedish Upper Secondary School (Gymnasium) or the equivalent. Title of qualification Degree of Master of Arts/Science (120 credits) Masterexamen med huvudområdet elektronik, translated into Degree of Master of Science (120 credits) with a major in Electronics or Teknologie masterexamen med huvudområdet elektronik, also translated into Degree of Master of Science (120 credits) with a major in Electronics, if the student has former studies of at least 30 credits in the subject of Mathematics. After the program After completing this master you can choose to work as an employee in the industry or as a consultant – your qualifications will be sought after both in Sweden and on an international job market. Work experience contact We consider it important for business development and education to be closely linked. The programme is developed together with the industry based on their needs; this is why your project assignments have their starting point in problems identified by the companies or research institutes we are collaborating with. [-]

Master in Computer and Automation Engineering

University of Siena
Campus 2 years October 2017 Italy Siena

The MSC in Computer and Automation Engineering aims at providing high-level competences for the design, management, development and innovation in the fields of advanced hardware and software architectures, and of control systems and robotics. In particular, the program is focused on human-machine interaction in a wide sense, spanning topics such as artificial intelligence, machine learning, high performance processing of massive data... [+]

Master in Computer and Automation Engineering LM-32 - 120 CREDITS · Language: English (level B1 required) · Specializations: Information systems, Robotics and automation · Years: 2 · Numerus clausus: No The MSC in Computer and Automation Engineering aims at providing high-level competences for the design, management, development and innovation in the fields of advanced hardware and software architectures, and of control systems and robotics. In particular, the program is focused on humanmachine interaction in a wide sense, spanning topics such as artificial intelligence, machine learning, high performance processing of massive data collections, human-robot interfaces, and systems for production automation. The program provides advanced competences in the area of computer and automation engineering. To get admission in this course of studies students must possess: a background in mathematics, statistics and physics, equivalent to the one achieved in first-level (B.A.) engineering degrees; basics principles of computer science, control, electronics and telecommunications; basic programming skills. Study plan 2015/16 Specialization Information systems taught in English first year · Automata and queueing systems 6 ECTF · Advanced digital image processing 9 ECTF · High performance computer architecture 9 ECTF · Machine learning 6 ECTF · Advanced database systems 6 ECTF · Artificial Intelligence 9 ECTF · Models and languages for bioinformatics 6 ECTF · Network optimization 6 ECTF · Other activities for further linguistic abilities (English B2 level) 3 ECTF second year · Design of applications, services and systems 9 ECTF · Internship 9 ECTF · Final work (tesi) 18 ECTF · 3 courses from the following group (for reaching 24 ECTF ): Bioinformatics 6, Language processing technologies 6, Human-centered robotics 6, Multivariable and non-linear control 6, Data analysis 6 Specialization Robotics and automation taught in English first year · Discrete event systems 9 ECTF · Complex dynamic systems 6 ECTF · Human-centered robotics 6 ECTF · Machine learning 6 ECTF · Artificial Intelligence 9 ECTF · Mathematical methods for engineering 9 ECTF · Network optimization 6 ECTF · Sensors and microsystems 6 ECTF · Other activities for further linguistic abilities (English B2 level) 3 ECTF second year · Multivariable, non-linear and robust control 9 ECTF · System identification and data analysis 9 ECTF · Internship 9 ECTF · Final work (tesi) 18 ECTF · 3 courses from the following group: Design of applications, services and systems 9, High performance computer architecture 9, Bioinformatics 6, Language processing technologies 6, Advanced database systems 6, Models and languages for bioinformatics 6 Application In order to apply to the 2016/17 academic year you will have to send all your documents to the Academic Committee of the course you are interested in for the evaluation and you will be able to do that (approx. from mid January 16 on) through an online platform that you will find at this link: http://enrolment.diism.unisi.it/index.php?logout=no&lng=en For second cycle (laurea magistrale) degree programmes taught in English (documents must be submitted in English) - evaluation form (please note: the form must be completed in all parts) - curriculum vitae - transcript of records of the first cycle degree possessed - certificate of proficiency in English, with language level - copy of passport or identity card Fee Tuition fee for the MSc courses can be up to around 2000 euros per academic year but part of the fee is based on your family income and students are required to produce an official declaration of the economic status of the family unit for the previous year issued by the home country tax office, legally translated into Italian with the Embassy/Consulate duty stamps. Tuition fees have to be paid in three different moments: the first part when you complete the enrolment procedure, the second in January, the third part in May. Scholarship and accommodation Scholarship and accomodation are not granted by the University itself but by the DSU and are based on family income and merit. Call for scholarship and accomodation is usually out in the month each year so we advise you should keep an eye on their website www.dsu-toscana.it [-]

Master of Data Science

Harbour.Space
Campus 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. [+]

Top Part time Masters in Computer Engineering in Europe. This program is taught in ENGLISH. The Master Degree program in Data Science is designed for those who desire to deepen their comprehension of all aspects of data science. Applicants could be graduates from other degrees with a strong mathematical core, or those continuing their academic pursuit after achieving a bachelor degree in computer science. PROGRAM STRUCTURE Year 1 Students begin the programme with foundational knowledge of programming and mathematics, including data structures and algorithms, statistics and machine learning. During the first year their knowledge of mathematics, programming and data analysis will be significantly extended. The programme also offers the opportunity to obtain key soft skills for the professional world including technical project management, writing and presenting. Finally, students are expected to attend a substantial amount of talks and workshops offered by the university, as well as working on the Capstone project. Modules Combinatorics And Graphs Convex Optimization Information Theory Discrete Optimization Auctions Stochastic and Huge-Scale Optimization Computability And Complexity Probability and Statistics Statistical Data Analysis Machine Learning C++ JAVA Python Practical Unix Data Structures and Algorithms Parallel and Disrtibuted Computing R Databases Technical Writing and Presenting Technical Project Management Leadership and Group Dynamics Introduction to Interaction Design Web Graphs Capstone Project Seminars & Workshops Year 2 During the second year of the program students will primarily focus on learning the key applications of the data science as well as advanced methods in mathematics and data analysis. A significant part of the year will be allocated to the completion of the capstone project. Through completion of the programme, students will learn to conduct data analysis on any scale, develop the software necessary for analysis and present the results in a professional and efficient ways. Modules Nonlinear Optimization Robust Optimization Machine Learning Statistical Data Analysis Machine Learning on Big Data Stochastic and Huge-Scale Optimization Data Visualization Map Reduce Distributed Databases Technical Writing and Presenting Leadership and Group Dynamics Technical Project Management Big Data Analysis Cryptography Social Network Analysis Image And Video Analysis Text Mining Information Retrieval Machine Translation Algorithms in Bioinformatics Spectral Graph Analysis And Data Science App Capstone Project Seminars & Workshops MATH AS A SECOND LANGUAGE (MSL) A Harbour.Space major requirement for all students in tech is a very good level of math. Anyone who lacks the strong math foundation they need for a career in tech, but is eager to learn has a home in our foundation course (link). Students acquire all the basic tools they need to continue studies in Computer Science, data Science or Cyber Security. Graduating from MSL means opening the doors to apply for a place at Harbour.Space University and any other top-rate tech university in the world. Programme Leadership Andrei RaigorodskiiDr.Sci, PhD, Chair of the Department of Discrete Mathematics Konstantin MertsalovPhD, Director of Software Development Europe, Rational Retention Career Path Junior Data Scientist Data Scientist Senior Data Scientist Principle Data Scientist Chief Data Officer LIVING IN BARCELONA Studying in Barcelona has the following advantages: Barcelona is #1 in Europe for quality of life and clearness of environment (2012 Quality of Life City Rankings – Mercer Survey) Barcelona is #1 in the world for the level of infrastructure and urban development (2011, Ernst & Young). The region of Catalonia, where Barcelona is the capital, contributes significantly to the Spanish GDP. The growth of Catalonia’s GDP is currently 3.3%, much higher than in Europe on average. Catalonia’s exports are €42.2 billion, higher than in any other region of Spain. 7,000+ innovation and technological companies during the last 10 years. Barcelona is 6th in Europe for attractiveness and comfort for doing business (European Attractiveness Survey 2011, Ernst & Young), Barcelona is 2nd in Europe (after London) for being promoted as a business center (European Cities Monitor 2011); Barcelona is 2nd in the world for hosting different international conferences and congresses (City and Country World Report 2011, ICCA ). Barcelona is the host of the annual World Mobile Congress, which attracts thousands of international companies that work in the mobile industry. 7,000,000 + millions of tourists / year 20° C - average temperature during the day 2437 hours of sunshine/ year Cost of living 550 euro / month [-]

Master in Human Computer Interaction and Design (HCID)

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

The programme in Human Computer Interaction and Design focuses on study, design, development and evaluation of novel user interfaces and interactive systems taking into account human aspects, at the cognitive and sensory-motor levels, technological aspects, as well as business aspects. [+]

Why study the EIT Digital Human Computer Interaction and Design programme? The EIT Digital HCID programme offers: Front line technical content within the field Studies at two of Europe´s foremost technical universities leading to a double degree. A good integration with tailored Business courses in Innovation and Entrepreneurship A thesis work well grounded in industrial problems Access to the competence of eight EIT Digital innovation action lines at least through a summer school between the two years. Access to the co-location centers and innovation ecosystems of the nine EIT Digital nodes. What is the programme all about? The programme in Human Computer Interaction and Design focuses on study, design, development and evaluation of novel user interfaces and interactive systems taking into account human aspects, at the cognitive and sensory-motor levels, technological aspects, as well as business aspects. The HCID programme is an interdisciplinary programme that offers courses on design and evaluation of interactive systems with a strong emphasis on user-centered design techniques: understanding the human capacities and consequences of using information technology as a tool for solving work related tasks, and developing and evaluating the systems by putting the user at the center of the design process. In addition, the program will create a business thinking in terms of user profiles, user segments, house style, branding, and market development and product introductions. What are the career opportunities for graduates from the programme? Graduates from the HCID master’s programme will qualify for jobs in international and local organizations in both technical and business roles. Typical titles are: interaction designer or user experience designer, interactive systems engineer, human factors expert, usability engineer, business developer, product manager, or consultant. Through their multidisciplinary attitude graduates are valuable in open innovation settings where different aspects (market, users, social aspects, media technologies) come together. They will easily find jobs within companies that provide value-added products and services, such as telecom companies, game companies, e-learning, web developers, and entertainment. An alternative path would be to start your own company to provide product or technology development, media content, business development or consultancy services. How is the programme structured? The programme is a double degree programme with studies at a university in one country the first year (entry) and studies at a university in another country the second year (exit). The program has an integrated technical content (Technical major) and business content (Innovation & Entrepreneurship – I&E minor). The I&E minor is shared between all programs (link). An integral part of the second year is a Masters thesis (30 ECTS). The structure and content of the technical major is given below. Where can I study If I choose HCID? Entry - 1st year KTH UPS Aalto Twente Exit - 2nd year, specialisation Mobile and ubiquitous interaction (KTH - Stockholm) User modeling (Aalto - Helsinki) Situated interaction (UPS - Paris) Multimodal interaction (TU Berlin) Intelligent systems (Univ. of Twente) Affective computing (UCL - London) Cognitive interaction (UniTN - Trento) Specific Admission Requirements A B.Sc. degree in computer science, electrical engineering, computer engineering or information systems is required. In special cases students from industrial design, media technology, computational linguistics, and cognitive sciences with sufficient skills in mathematics, software design and programming can be considered. [-]

MSc in Big Data Systems

Higher School of Economics
Campus 2 years September 2017 Russia Moscow

Focusing on the value aspect and implementation of big data for large enterprises, preparing students for applied work and research [+]

This programme focuses on the value aspect and implementation of big data for large enterprises. Big data technology has incredible value across financial, telecommunications, and government services, with the possibility of reducing costs and improving efficiency.

Through core courses, electives, research seminars, and a master’s thesis, students acquire a strong foundation in the fundamental principles and technological components of big data. From cloud computing and data visualization to predictive modeling and big data-based risk analytics, a wide array of topics are available for students to master.

Graduates go onto careers working on systems within large companies and organizations or carrying out scientific research.... [-]


Master in Software Engineering for Embedded Systems

Fraunhofer Academy
Online Part time 4 semesters Germany

The Fraunhofer Institute for Experimental Software Engineering IESE offers a unique part-time Master’s course which is primarily run as a distance learning program by the Distance and International Studies Center (DISC) of the. [+]

The Fraunhofer Institute for Experimental Software Engineering IESE offers a unique part-time Master’s course which is primarily run as a distance learning program by the Distance and International Studies Center (DISC) of the. The course is geared to international participants and is therefore conducted entirely in English. Type of course: Part-time distance learning course Qualification: Master of Engineering (M.Eng.) Language of instruction: English Course contents: Software development for embedded systems, project management, requirements engineering, software product line engineering, etc. How the course is organized: Self-study plus face-to-face modules at Fraunhofer IESE’s Software Engineering Laboratory in Kaiserslautern Admission requirements: Candidates must have completed a university degree in an engineering, science or information technology discipline and must have at least two years of professional experience in software development Additional information: ASIIN accreditation Target Group The distance education program is designed for professionals working in the field of software development who need to acquire advanced knowledge about emerging technologies and who wish to broaden their software engineering skills by pursuing graduate-level education in software engineering. The program targets graduates of engineering disciplines such as electrical, mechanical, and industrial engineering, graduates of IT disciplines such as computer science and business informatics, and graduates of non-engineering disciplines, such as mathematics and physics. [-]

Master's Degree In Software Architecture

UDIMA - Universidad a Distancia de Madrid
Online Part time 12 months Spain Madrid

The title of Master in Architecture Software offers the possibility to computer professionals to acquire the knowledge and experience to provide the most technically advanced solutions in high technology projects ... [+]

Top Part time Masters in Computer Engineering in Europe. The job market for professionals in Information Technology is a highly competitive and demanding market that requires a permanent recycling and continuous updating of knowledge. The title of Master in Architecture Software offers the possibility to computer professionals to acquire the knowledge and experience to provide the most technically advanced solutions in high technology projects. The Master in Software architecture is an official title whose curriculum is published in the Official Gazette number 141 of 13 June 2013. Addressed to This Master is aimed exclusively at: Graduates in the field of knowledge of Computer Science. Computer science graduates. Computer engineers. Technical Engineers in Computer Management. Technical Engineers in Computer Systems. Graduates in the field of knowledge of Mathematics and Physics. However, those students who are not graduates of the branches of knowledge mentioned above, but which have technical and theoretical knowledge of Computer Science, Information Systems and Software Engineering. also present in this Master's Degree, prior authorization of the Director of the Master. Main objective of the master The main objective of the Master is the presentation and implementation of the main techniques and technologies available to software architects to help address the various architectural and design aspects of any software project. Specifically they delve into topics of web technologies, integration of services, patterns, frameworks and distributed advanced, among other environments. The organization of software to work in factories and enterprise application integration will be studied. Recognition Official degree Students who meet the requirements of the Open University of Madrid (UDIMA) will be awarded the title of Master in Software architecture, besides the title of Professional Master issued by the Center for Financial Studies. REQUIREMENTS: Accreditation university degree. Making all assessment tests and final exam UDIMA. Methodology From distance It is done in Distance Education. REMOTE, you can begin training in October and February each year. OPEN ENROLLMENT PERIOD [-]

Master in Computer Science and Knowledge Discovery

Saint Petersburg Electrotechnical University
Campus 2 years September 2017 Russia St. Petersburg

The structure of the degree program consists of advanced professional studies, elective courses and Master’s Thesis. [+]

The structure of the degree program consists of advanced professional studies, elective courses and Master’s Thesis. Graduates will be able to use modern information and communication technologies (applied software packages, local and global computer networks) for acquiring, processing and analyzing various types of information. Graduates will also manage to estimate software quality and apply software for solving professional tasks in various fields. Graduates will have special knowledge in software techniques of information security. Special skills will be obtained in the field of applied and computer mathematics. Furthermore, students will also acquire professional skills in mathematical modelling and advanced data analysis. Special training will be provided in the fields of artificial intelligence (data mining), signal and image processing, parallel and distributed computing, and biometric technologies. Program curriculum includes the following advanced courses: Intelligent systems; Computer tools in education; Algorithmic mathematics; Professionally oriented foreign language; Digital signal processing; Advanced mathematical methods; Information technologies in academic research and project activity; Parallel computing; Advanced data analysis and machine learning; Languages for hardware design and verification; Biometric technologies; Distributed systems and technologies; Mathematical modelling of linear and non-linear systems; Basics of system theory; Data and visual analytics; Information security; Foreign language; Mathematical foundations of computer science; Computational systems; Social communications in professional environment; Commercialization of academic results and developments; Algorithm design and optimization; Software development technology. The department of Computer Science and Engineering is one of the oldest and most renowned departments in the University (founded in 1931). The research areas of the department encompass software and hardware development and verification, development of FPGA, digital signal processing, distributed systems, microprocessor systems, artificial intelligence and machine learning, parallel computing, embedded systems, etc. Students will have access to high-performance cluster with cloud computing and modern software-hardware systems. Programme: 120 ECTS credits, full-time study (2 years), Master’s Degree Eligibility: candidates must hold a Bachelor's Degree in the corresponding field Scholarship: scholarship covers the tuition fee and some study materials An academic year includes 2 semesters beginning on 1st September and 10th February, Winter holidays - 2 weeks, Summer holidays - 2 months (July, August). Master’s Thesis defense is in June. Educational programs of «LETI» are constantly modernized, following the principle «Training through research». Graduates of our university receive new, profound knowledge and practical skills of work. [-]

MSc Computational Science

University of Vienna
Campus 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. [+]

Top Part time Masters in Computer Engineering in Europe. 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. [-]

Inter-university Master's Degree in Computer Engineering and Mathematics

Universitat Rovira i Virgili
Online Part time 1 year October 2017 Spain Tarragona Barcelona + 1 more

The URV-UOC online Master's Degree in Computer Engineering and Mathematics (ECiM) offers interdisciplinary training in the areas of engineering and applied sciences. The ECiM programme includes cutting-edge topics such as computer modelling and simulation, numerical methods, parallel and distributed computing, knowledge representation, networks and graphs, and applied optimisation. The aim of the degree is to prepare students for... [+]

Inter-university Master's Degree in Computer Engineering and Mathematics The URV-UOC online Master's Degree in Computer Engineering and Mathematics (ECiM) offers interdisciplinary training in the areas of engineering and applied sciences. The ECiM programme includes cutting-edge topics such as computer modelling and simulation, numerical methods, parallel and distributed computing, knowledge representation, networks and graphs, and applied optimisation. The aim of the degree is to prepare students for R&D positions in industry, research centres and universities. It is intended for graduates with various scientific and technical qualifications (computer engineering, mathematics, telecommunications engineering, industrial engineering, statistics, physics, etc.). Students must complete a total of 60 ECTS credits, distributed as follows: 17 for compulsory subjects, 25 for optional subjects and 18 for the master's thesis. The ECiM is designed to be completed in one year (full-time students) or two years (part-time students). As the programme’s lecturers are active researchers in the fields they teach, they can help students to initiate research careers in computer engineering and mathematics. Career opportunities Research and development centres Companies working in the information and communication technologies Computing centres Universities Language of instruction Catalan, Spanish, English Student Profile This Master's Degree is aimed at candidates who previously obtained: Bachelor's degrees in Mathematics, Statistics, Physics and related fields. Bachelor's Degree in Computer Science, Telecommunications, Electronics, Industrial, Electrical, Mechanical, Aeronautical and related fields. Participating universities Universitat Rovira i Virgili (coordinating university) Open University of Catalonia FIRST YEAR: Compulsory subjects First semester Numerical Methods in Engineering High Performance Computing Optional subjects Second semester Simulation Final Master's Project Optional subjects OPTIONAL SUBJECTS: In this section you will find the list of all the optional subjects on the curriculum. Before you select the subjects you wish to register for, please make sure that they have been activated. Error Correcting Codes Chaotic Dynamical Systems Graphs and Applications Modeling Using Differential Equations Cryptology Multivariate Analysis of Data Particle and Finite Element Simulation Complex Networks Operative Research Combinatorial Optimization Data Structures and Algorithms Knowledge Representation Artificial Intelligence Distributed Computing Pattern Recognition Admission qualifications A university degree in mathematics, statistics, physics or a related field. A university degree in computer engineering, telecommunications, electronic engineering, industrial engineering, electrical engineering, mechanical engineering, aeronautical engineering or a related field. Seletion Criteria Pre-enrolled students will be selected according to the following criteria: Suitability of the admission qualification, up to 40 points. Qualifications will be graded in accordance with the following scale: a. Graduates in the field of science: up to 40 points. b. Graduates in the field of engineering and architecture: up to 40 points. c. Other qualifications: 0 points. Evaluation of the students' academic record in the university degree that qualifies them for admission to the master's degree: up to 40 points. Other training (courses, seminars or other training activities, for which proof must be provided) or professional experience relevant to the content of the master's degree: up to 10 points. Previous experience in research and/or stays in research centres of at least 4 weeks (proof must be provided): up to 10 points. [-]

Master in Computer Engineering and Management - taught in FRENCH

University of Mons
Campus Part time 2 years September 2017 Belgium Mons

The Computer Science, Management and Engineering course programme responds to two essential requirements of our time: on the one hand, the ever-growing need to computerise businesses, and on the other hand the need to manage activities more and more efficiently. [+]

Top Part time Masters in Computer Engineering in Europe. This program is taught in FRENCH. This master is organised in daytime and in part-time. The Computer Science, Management and Engineering course programme responds to two essential requirements of our time: on the one hand, the ever-growing need to computerise businesses, and on the other hand the need to manage activities more and more efficiently. Engineers have natural skills placing them at the forefront of computer science. They also have the ability to make a rational and methodical contribution to business management. Profile of the programme The courses focus on business management: human resources and communication, marketing, financial analysis and economic and financial calculations, managing innovation, team building, etc. management mathematics and operational research: mathematical programming, stochastic models of operational research, decision-making and management support, computer-aided manufacturing, etc. computer science: programming methodology and languages, databases, software engineering, artificial intelligence, system security and administration, etc. Personal assignments play a central part in the students’ training. They allow them to implement the scientific concepts taught in lectures and to acquire those skills gained mainly by experience, such as groupwork, leadership, time and deliverables management, conflict management, autonomy, … Therefore half of the programme is dedicated to guided personal projects linked to research fields in the Computer Engineering and Management specialism (decision-making, optimization, artificial vision, grid computing, innovation management, creativity). Students may complete part of their Master’s course (6 months) in other universities, such as Barcelona, Poznan, Dublin, … within the framework of the Erasmus exchange programme or a full year in a university of the TIME network (Top Industrial Managers for Europe) such as SupElec, SupAero, …. Key learning outcomes By the end of their programme in Engineering Sciences, the master graduates will be able to: Demonstrate expertise and versatility in the sciences and technology Formulate and analyse complex problems Adopt an applied scientific approach Innovate Implement solutions Plan and carry out projects in engineering Work in and lead a team Master scientific and technical communication Practice interpersonal communication appropriate to each context Be a critical, reflexive and independent professional Be a responsible person, in step with the stakes of society By the end of this specific course programme, the students will be able to: model and solve common optimization problems, and interpret the results; master and implement decision-aid methods; specify the needs for common computing applications, analyze, conceive and implement software meeting those needs; demonstrate a sense of innovation and creativity, develop analytical and autonomous thinking and put forward arguments in a debate on macroeconomics Occupational profiles Information technology, management mathematics and business management are now seen to be interconnected. A few examples will make this clear. Implementing an IT system has an effect on "communication" within the company, and thus also affects human resources management. Market research is unimaginable without the support of a statistical method for analysing the data. The management of stocks not only involves software, but also mathematical algorithms as well as assets management. Masters in Computer Engineering and Management combine those three complementary skills - IT, management mathematics and business management. Skills in IT and management are indispensable in all activity sectors. They open the doors to employment in all fields and ensure rapid progression to managerial positions in companies, or to freelance work, joining a small business or founding new companies. The most common roles fall into the following six categories: IT (consultancy – Management); organisation and planning (all enterprises and organisations); business management (banking – insurance); engineering (electrical and electronic construction, iron and steel metallurgy, chemicals); research and development (universities and research centres); various sectors (public sector, international organisations, other industries). Access to further studies The Master of Science in Computer Science, Management and Engineering can lead to postgraduate studies in order to specialize, do further training or research: either by completing another Engineering Master’s degree, at the University of Mons or any other European university, e.g. in Quality Control and Management, Industrial Risks and Operational Safety, Transportation Management, Master in Business Administration, etc. or by conducting a PhD thesis in engineering sciences possibly with the support of research clusters of the Faculty and the University of Mons. Mode of study Full time Master in Computer Engineering and Management in part-time The Faculty of Engineering of Mons offers the Master's degree in Computer Engineering and Management on a part-time basis. This training, given in Charleroi, is accessible to Engineers, Engineering technology graduates, Business Engineers, Agronomy Engineers or Sciences graduates. It is intended for adults inserted in the professional life, who already graduated from higher education and who wish to get the essential competencies in Computer sciences and Management in all sectors. The Faculty of Engineering of Mons is unique in Belgium, as it awards a degree in engineering which cumulates the triple capacity of computerization-organization and management. Education is designed for engineers in activity having at least three years of track records. The programmes and the timetables are arranged and adapted in order to reconcile education, professional life and personal life. [-]

Máster Universitario En Sistemas Inteligentes

Jaume I University (Universitat Jaume I)
Campus 1 year October 2017 Spain Castellón

La formación que proporciona el máster se enmarca en el ámbito de los sistemas inteligentes que involucran procesos de percepción, aprendizaje y decisión automática, manipulación [+]

La formación que proporciona el máster se enmarca en el ámbito de los sistemas inteligentes que involucran procesos de percepción, aprendizaje y decisión automática, manipulación robótica, almacenamiento y proceso de datos, información contextual, visualización y entornos interactivos. Los estudios estructuran los conocimientos y disciplinas que definen un perfil profesional con dos posibles intensificaciones: robótica de servicios o interacción avanzada y gestión del conocimiento. Robótica de servicio. La robótica está experimentando una nueva revolución que, según se prevé, se consolidará en los próximos años, tanto en el ámbito europeo como en el mundial: los robots salen de la industria tradicional (automoción, soldadura, pintura, ensamblaje) para ubicarse en las oficinas, los laboratorios y los hogares. Así, según prestigiosos estudios internacionales, se puede esperar un sólido crecimiento de las instalaciones de robots en todo el mundo entre los años 2006 y 2008. En España hay un margen de crecimiento aún mayor dada la baja densidad de robots (la mitad que, por ejemplo, en Alemania). Aunque el mercado tradicional de los robots, la industria de automoción, dé muestras de saturación, los avances tecnológicos de los últimos años han abierto nuevos nichos de aplicación en otros segmentos. El sector denominado «robótica de servicio» comprende aquellos robots que operan en entornos como: exploración; vigilancia, seguridad y rescate; aplicaciones médicas; construcción; limpieza y mantenimiento de instalaciones; uso doméstico y entretenimiento. Interacción avanzada y gestión del conocimiento. Basándose en las reflexiones que han dado lugar al último Plan nacional de innovación, investigación y desarrollo, y al VI programa marco de la Unión Europea, se han detectado líneas prioritarias con demanda a corto y medio plazo en la denominada sociedad de la información. Uno de los ámbitos con demanda es el de las llamadas tecnologías de la interacción y del conocimiento, que comprende los siguientes campos o líneas prioritarias: - Sistemas cognitivos, capaces de interpretar datos provenientes de acontecimientos del mundo real y/o procesos, principalmente flujos de información de sensores visuales y audio, para adquirir conocimiento del entorno, realizar sugerencias y comunicarse con los usuarios en términos comprensibles para los humanos, realizando tareas complejas relacionadas con ingeniería y ciencias cognitivas, inteligencia artificial, visión por ordenador y robótica, así como otras disciplinas relacionadas, como la teoría de la información, la neurociencia y la lingüística. - Interficies multimodales basadas en mecanismos de interacción entre el usuario y el sistema a través de interficies de uso natural y fácil para las personas, que se comunican inteligentemente a través de diferentes modalidades, como la visión, el habla, multi-lenguajes, las representaciones visuales, el tacto, etc. - Sistemas basados en semántica y dependientes del contexto, orientados a adquirir, organizar, personalizar, compartir y utilizar el conocimiento inmerso en el web y contenidos multimedia. Producción de contenidos inteligentes pioneros capaces de autodescribirse y adaptarse a las necesidades y contexto del usuario, proporcionando una interacción de forma natural entre el usuario y su entorno. Los profesionales e investigadores que completen el Máster en Sistemas Inteligentes contarán con una formación pluridisciplinaria en ámbitos pioneros de la computación, las comunicaciones y la integración de sistemas. Su perfil les permitirá abordar problemas donde converjan los sistemas físicos con el procesamiento de grandes volúmenes de información en tiempo real, en entornos plenamente conectados en red, desde la proximidad de dispositivos inalámbricos a la globalidad de Internet. Tipo de enseñanza Enseñanza presencial. Duración y calendario Duración: un curso académico (octubre 2014 / septiembre 2015). Docencia presencial: octubre 2014 / julio 2015. Créditos e importe 60 Créditos ECTS (European Credit Transfer System). Según tasas oficiales pendientes de publicar. Precio en el curso 2013/14: 46,20 €/crédito. [-]

Master in Computational science

Vrije Universiteit Amsterdam
Campus 2 years September 2017 Netherlands Amsterdam

Computational science is a discipline that has established itself as the third pillar of modern science (alongside theoretical and experimental science), and involves... [+]

Master in Computational science

 

Would you like to confront a tornado in virtual reality and predict its intentions? Or understand the behaviour of financial markets? What if you could simulate the outcome of a surgical procedure before it is put into practice? Or predict how a crowd would move in the event of a disaster?Computational science is a discipline that has established itself as the third pillar of modern science (alongside theoretical and experimental science), and involves the modelling, simulation and analysis of world phenomena through computation. This has opened up new windows onto the physical and social sciences, earth sciences and life sciences at many levels of scale.... [-]


Master in Software, Systems and Services Development in Global Environment

University of Oulu
Campus 2 years September 2017 Finland Oulu

The Department of Information Processing Science at the University of Oulu organizes a two-year full-time Master’s degree programme in Software, Systems and Services Development in the Global Environment (GS3D). [+]

Master in Software, Systems and Services Development in Global Environment The Department of Information Processing Science at the University of Oulu organizes a two-year full-time Master’s degree programme in Software, Systems and Services Development in the Global Environment (GS3D). Graduates from GS3D will have the competence to work as Experts and Managers in global ICT companies. The programme will provide multidisciplinary knowledge of software, systems and services development in a global context. Graduates will acquire the skills to understand and to analyze the dynamics of the software business environment. Students can progress with their studies to PhD and participate to GS3D research groups. Programme Outline The degree includes: Compulsory Studies - 95 ECTS Optional Studies - 25 ECTS Compulsory Master's studies include intermediate subject courses which will deepen into more advanced studies. The advanced courses form the core of the Master's programme, as they tackle the deeper aspects of the topics introduced in the earlier courses. Studies will have a basis in research and a significant portion of time will be used for the preparation of the Master's Thesis. Its purpose is to develop a student's readiness for the independent acquisition of scientific knowledge, identifying problems, analysing them, and forming a solution to them. Optional studies include either courses of information processing science or minor studies in other sciences. Courses range from 1 to 7 ECTS composing a wholeness of 25 ECTS. Learning outcomes By completing the Master’s level studies in information processing sciences a student can act as an independent expert in a goal-oriented project and is able to professionally manage such a project. The student masters typical research methods and can select the most appropriate research and data collection methods for a specific research problem. Students can develop the working methods and practices of their subject area by using a scientific approach and can communicate them clearly and fairly. After finishing Master's level studies in the GS3D programme a student can also: Apply existing and produce new IS and SE knowledge for organisational and software companies’ needs; Analyse and evaluate human activities in IT use situations, work practice and organisational functioning using conceptual means, and present the results of the analysis using suitable descriptive methods; Analyse and evaluate software solutions and processes from the perspective of software architecture, design patterns, established capability and maturity models; Evaluate the impact of the development of information technology to organisational functioning; Design IT solutions that solve identified problems and improve the efficiency of organisational practices; Design and construct software that satisfies specified functional and quality requirements; Act efficiently in global and distributed software projects or open the source community; Set targets to self-steer and work towards those goals; Communicate clearly and analytically using techniques derived from scientific practice. Students can progress with their studies to PhD degree and participate in GS3D research groups. Programme Admissions General Academic Requirements and Language Requirements are same for all of the Master's programmes. Programme Specific Academic Requirements The applicant should have a university level Bachelor's degree, or equivalent university level degree, suitable for studies of information processing science, with good grades. The degree may be from abroad or from other Finnish universities or from Universities of Applied Sciences (AMK). The programme is ideal for applicants who have background in Software Engineering, Information Systems, Computer Science, Information Technology and Computer Engineering or nearby studies. Selection Process The selection is made by the selection committee based on the rankings of applications according to the selection criteria (see below). Detailed Selection Criteria The students are ranked based on these criteria. 1. Previous Studies Relevance of the field in Bachelor degree Average grade in Bachelor degree 2. English Skills (documentation required) 3. Motivation a. Motivation letter, max. 2 pages (included in the electronic application form) Reasons for applying (expectations, career plans, interests etc.) and commitment to GS3D studies Qualifications to be a successful and prospective graduate (personal strengths, achievements, professional work experience etc.) Matching together earlier studies and GS3D Financing the studies and stay of living in Finland b. Reference letter(s) Original reference letter(s) must be attached to the application. Typically reference letters are academic references (professors, faculty officials) or references from employers. 4. Interview The selection committee invites maximum 80 applicants to personal interview based on the criteria 1-3. Interview is arranged with web based tools or locally at University of Oulu. Student Selection Applicants will be informed about the admission results by the end of April by email. Accepted applicants will also receive acceptance letter and an information package via post mail. University of Oulu International Master’s Scholarship Scheme 2017-2018 Connected with the renewal of university strategy, the increased importance of internationalization and the introduction of tuition fees for non-EU/EEA citizens, the University of Oulu has assigned a significant amount of money for tuition scholarships for 2017 entry. The scholarships will be granted in the form of a tuition fee waiver. The tuition fee waiver awarded covers 100 % of the full tuition fee. Applicants can apply for the tuition scholarship as part of the admissions process. University of Oulu Scholarship Scheme in more detail The University of Oulu International Master’s Scholarship Scheme (IM Scholarship) provides scholarships to academically talented international students. The scholarship is aimed at students studying for a Master’s degree in the University of Oulu two-year International Master’s programmes. The scholarship covers the full international tuition fee. University of Oulu IM Scholarships do not cover living costs. In order to retain the scholarship in the following year of study, a student must have completed 55 ECTS by the end of the previous academic year. If a student does not achieve this requirement during the first year of studies, they will be liable to pay the full international tuition fee for the second year if they wish to complete their Master’s degree programme. An exception to this rule can be made if a student has been granted approved leave from studies (e.g. due to serious illness). Eligibility Requirements to Apply for International Master’s Scholarship Applicants are eligible to apply for a University of Oulu IM Scholarship 2017-18, if they are: Non-EU/EEA* citizens who do not have a permanent residence permit in Finland. (Applicants not eligible for the International Master’s Scholarship are: 1) non-EU/EEA citizens who have a permanent residence permit in Finland, 2) EU/EEA citizens or comparable persons, 3) University of Oulu students who have been accepted to study BEFORE the academic year 2017-18.) Eligible to apply for a Master’s degree programme at the University of Oulu for academic year 2017 – 18. The applicant has obtained their first academic degree (Bachelor’s or equivalent) from a recognised institution of higher education. The applicant proves a high level of proficiency in English language. Approved methods of demonstrating language proficiency. Applicants who are in their last term/semester of studies for their first academic degree during the application period, can apply for the scholarship. Applicants who receive a conditional offer of study placement for a Master’s programme will receive a conditional scholarship offer. The scholarship application will be processed in the selection procedure only if the applicant meets the admissions criteria. *European Union / European Economic Area member states are: Austria, Belgium, Bulgaria, Cyprus, Czech, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Latvia, Liechtenstein Republic, Denmark, Lithuania, Luxembourg, Malta, Netherlands, Norway, Poland, Portugal, Romania, Slovakia, Slovenia, Spain, Sweden, and United Kingdom. With the EU legislation, Switzerland is also comparable for EU member states. The nature of residence permit is indicated in the residence permit with a letter. A permanent residence permit bears the letter P or A and an EC residence permit for third-country nationals with long-term EC resident status bears the letters P-EY. Application for International Master’s Scholarship 2017-18 There is no separate application system for the International Master’s Scholarship. All applicants for University of Oulu Master’s degree programmes need to complete the Student Application Form. Those applicants who are applying for the University of Oulu International Master’s Scholarship have to additionally complete the “Application for Scholarship,” section which can be found at the end of the Student Application Form. The International Master’s Scholarship application section cannot be completed and/or submitted without the Student Application Form. The application period for the University of Oulu Master’s degree programmes and International Master’s Scholarships is 15.12.2016-25.1.2017 Selection criteria for University of Oulu IM Scholarship 2017-2018 Admissions and scholarships decisions will be taken at the same time. Those students successful in obtaining an International Master’s Scholarship will be notified at the same time as their offer of admission to their International Master’s programme is confirmed. The selection criteria for the University of Oulu IM Scholarship are based on previous academic performance and academic potential. For questions concerning the University of Oulu IM Scholarship, please contact admissions.officer(a)oulu.fi [-]

Master in Computer Engineering and Information Systems

Universidade Lusófona de Humanidades e Tecnologias
Campus 2 years October 2017 Portugal Lisbon

The degree is supported by a solid study program and occupies an innovative position in the converging scientific [+]

Top Part time Masters in Computer Engineering in Europe. Objectives - Promoting and acquisition of theoretical and technical skills in disciplines considered as structuring in the areas approached; - Allow the students to establish a customised progression through the possibility of choosing between specific advanced disciplines in each of the proposed branches; - Provide a professional learning experience through laboratory and analysis practice of real use cases, in order to guarantee an adequate balance between the theoretical plane and its most recent technological developments; - Include and put into perspective all aspects of teaching given in the academic and corporate realities, associated to this sector in our Country. Thus, we propose a teaching model organised in: - Master Classes that correspond to theoretical magisterial classes, taught by Master Degree professors and by national and foreign guest specialists to work in the scope of the research projects developed during the degree and - Advanced technical training laboratory classes, where the acquisition of skills for the development of applied projects is promoted. Knowledge, abilities and skills to be acquired This degree aims to promote the acquisition of advanced skills in the areas of Computer Engineering and Information Systems, namely those that refer to individual work, supported in skills acquired in research activity, as well as application in professional activity of the principles used in the methodologies of this project. This way, the Master’s degree will provide the analysis and information processing skills inherent to the execution of tasks for research and development innovative technologies acquired in the prosecution of the described goals, as well as the capacity to produce and transmit scientific information related to them. Further Studies The degree is supported by a solid study program and occupies an innovative position in the converging scientific domains. With a curricular structure comparable to the best similar 2nd cycle courses in Europe, this Master’s Degree offers the most adequate training towards the degree (2nd cycle in 2007/2008) and prosecution of studies in a great diversity of branches at the 3rd cycle level. Occupacional Profiles The integration of these teaching methodologies and the articulation between the professional and research component seeks to promote advanced training in engineering that fully completes a training profile with the making of this master's degree. Entrance Conditions The following may apply for the Master's Degree: a) People who hold a B.A. or equivalent degree; b) People who hold a foreign academic degree awarded after a 1st study cycle organized according to the Bologna Process by a member state of that process; c) People who hold a foreign academic degree acknowledged as a degree satisfying the objectives of the graduate degree by the due body; d) People who have a school, scientific or professional curriculum acknowledged by the due body of ULHT certifying the capacity to obtain this study cycle. [-]