Masters in Computer Science

Top 206 Masters in Computer Science 2017

Computer Science

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 foundations of computer science actually date back to before the modern computer had actually been created. For instance, algorithms for computing have been around for hundreds of years. One book of Sanskrit algorithms dates back to 800 BC.

Masters Degree in Computer Science

Read More

Master in Data Science

Bologna Business School
Campus Full time 12  December 2017 Italy Bologna

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

Master's Programs in Computer Science. 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... [-]

Master Sensor System Engineering (SSE)

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

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

Sensor System Engineering: www.hanzegroningen.eu/msse Passionate about technology and engineering? ​​ Are you open minded, do you like to stretch boundaries to find out what is out there? Can you apply yourself, developing new ways to move the technology ahead, specifically in the health domain? Then take a moment to consider the opportunity to join us for one year to complete the Sensor System Engineering (SSE) honours master's programme.​​​ Programme overview General knowledge about sensor applications needed for any type of specialisation Specialised knowledge involving sensors in the health domain Honours content Master's thesis project (30 ECTS) General knowledge about sensor applications needed for any type of specialisation Linear algebra (4 ECTS): mathematics required for the next modules. Advanced data analysis (4 ECTS): integrating data coming from multiple complex sensors and to interpret this data correctly Modelling & simulation (4 ECTS): theory and tools required to model complex systems and to analyse and represent simulated data. Data centric architectures (4 ECTS): the architectural design of sensor systems at the level of of system architectures for big data applications and at the level of digital signal processing (DSP). Specialised knowledge involving sensors in the health domain Products and services in Health (4 ECTS): using real cases to learn the full design process of a health related sensor system. Sensor applications in Health (3 ECTS): exploration of sensor applications in biology, technology, diagnostics and application in health environments like hospital and home care. Honours content Professional skills (3 ECTS): learning to excel in... [-]

Master In Digital Marketing & Seo / Sem

inesdi - Digital Business School
Campus or Online Full time Part time 240 - 1500  February 2018 Spain Madrid Barcelona Spain Online + 3 more

We are introducing the Master in Digital & SEO / SEM Marketing. In addition to having the official title of Inesdi Digital Business School, you'll get a university degree by the University Nebrija. [+]

Master's Programs in Computer Science. We are introducing the Master in Digital & SEO / SEM Marketing. In addition to having the official title of Inesdi Digital Business School, you'll get a university degree by the University Nebrija. Internet, digital platforms and information technologies are transforming our environment. Companies need professional profiles in line with the new market trends, and is why we are promoting this University with Master degree at the University of Nebrija. With the objective of train professionals that can provide solutions to the digital transformation in which we are immersed both companies, and society in general. This Master degree in Marketing graduated Digital & SEO / SEM becomes a concerning specialized training in the digital economy applied to different areas of business organizations. Students will develop the knowledge and the most appropriate techniques for design, implementation, management, analysis and moderation of a 360 Digital Marketing PlanIncluding also Search Engine Marketing Plan. Classroom, online and blended learning personalized tutoring in implementing the Final Master Project Career guidance through a "career plan" individualized Development of a "Marketing Plan 360" and "Search Engine Marketing Plan" With a total of 37 classes webinar (in online mode) the master program Introductory Module: Principles and fundamentals of the digital economy Module 1: Digital Marketing Plan I Module 2: Social Media Marketing Module 3: Digital Marketing Plan II Module 4: Strategies to capture and conversion I: Inbound Marketing Module 5: Strategies to capture and conversion II: Digital Advertising Module 6: Digital Marketing Plan... [-]

Master in Data Analytics

ISDI
Campus Part time 400  October 2017 Spain Madrid Barcelona + 1 more

Master degree with hands-on-learning methodology to acquire the necessary knowledge in order to become a Data Scientist, Digital & Web Analyst, Digital Consultant or Business Intelligence Manager [+]

Master degree with hands-on-learning methodology to acquire the necessary knowledge in order to become a Data Scientist, Digital & Web Analyst, Digital Consultant or Business Intelligence Manager Who is it aimed at? Data Scientists, Digital & Web Analytics, Digital Consultants, Business Intelligence Managers, Digital Marketing Managers, Project Managers and Deputy Managers. Data analysts who need to acquire a business & strategic vision. Professionals in business development and market research. Professionals with an average age of 31 years old and seven year experience. Goals To become an expert in decision-making based on data. To acquire knowledge of Google Analytics, SAS, R, Data Governance, Dashboards, Big Query o SQL at expert level. To develop predictive projects and to manage digital analytic projects. To combine business vision, analytic methods and technology tools. To acquire a strategic and digital business vision. Modules Module 1 . Technological Framework Module 2 . Statistics and Analytics Method Module 3 . Digital Marketing Analytics Module 4 . Ecommerce Analytics Module 5 . Programmatic Buying Module 6 . Big Data Fundamentals Module 7 . Data Visualization Extensions Extension 1 . SAS Base Extension 2 . R Fundamentals Extension 3 . Recommendation Systems Extension 4 . Predictive Analytics Extension 5 . Text Mining Social Analytics Extension 6 . R Visualization Admission Process ADMISSION FORM - If you are interested, please fill in our admission form. INTERVIEW - We will arrange a face-to-face or online interview to get to know you and discuss your professional needs. After the interview, you will... [-]

Master in Software, Systems and Services Development in Global Environment

University of Oulu
Campus Full time 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's Programs in Computer Science. 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... [-]

Master of Engineering in Real Time, Steering and Supervision

Centrale Nantes
Campus Full time September 2017 France Nantes

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

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

Language of teaching

Courses fully taught in English during the two years.

TRACK: REAL TIME EMBEDDED SYSTEMS - EMBEDDED COMPUTER SCIENCE

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


MS Computer Information Systems

College of Saint Rose
Campus Full time August 2017 USA Albany

A deeper understanding of information systems can only enhance your career prospects. [+]

Master's Programs in Computer Science. A deeper understanding of information systems can only enhance your career prospects. You’ll gain skills in technical communication and teamwork—which are in great demand among employers—as well as advanced knowledge of data structures, computer architecture, database management systems, data communications, user interface design, and software engineering. Program Overview The Master of Science in Computer Information Systems is a Professional Science Master’s (PSM) degree program that presents students with an applied education in advanced topics associated with computer science, computer engineering, and information systems. Our program is endorsed by the National Professional Science Masters Association (NPSMA). The program is designed for students with some experience in computer technology and programming, who wish to advance their technical skills and knowledge, and who also wish to improve their communication and business skills. The goal of the program is to produce graduates who are technically proficient in their field and capable of working successfully in government and business. All students must take six required courses in areas that are central to computer information systems. These areas are data structures, computer architecture, database management systems, data communications, user interface design, and software engineering. All students must also take two courses in a chosen area of specialization and complete a master’s project in this area, under the supervision of a department faculty member. The current areas of specialization include Internet Programming, Bioinformatics, Database, and Parallel and High-Performance Computing. Surveys reveal that employers want their technical employees to be able to communicate... [-]

Master of Information Management

University of Maryland, College of Information Studies
Campus Full time September 2017 USA College Park

The Master of Information Management (MIM) program at the University of Maryland prepares graduates to be industry leaders in information science and technology, maximizing the value of information management solutions and meeting the needs of organizations. [+]

The Master of Information Management (MIM) program at the University of Maryland prepares graduates to be industry leaders in information science and technology, maximizing the value of information management solutions and meeting the needs of organizations. Drawing from management, computer science, information systems, and information science, the MIM program provides students with the skills and knowledge necessary to successfully collect, process and organize data to efficiently extract information. The MIM program will provide you with an opportunity to build a career in a rapidly growing Information Management field. You will learn to visually communicate quantitative and qualitative messages and to bridge a vital gap in the corporate world between the technical department and the rest of the organization. The MIM program offers two specialization tracks: Information Analysis and Technology Design, allowing students to focus their studies in a particular information management area of their professional interest. The information Analysis track offers Data Analytics or Strategic Management specializations, and the Technology Design track offers specializations in User Experience or Technology Development. Besides this, the MIM program has a: High student employment rate – 95% Perfect location -- proximity to Washington DC, allowing students to benefit from the numerous professional development groups, events, and activities taking place there on a regular basis. Career-focused learning approach, providing students with real practical skills in addition to theoretical knowledge. The MIM courses, career development events, and professional support are all designed to give the students the best possible preparation for their careers. Through coursework and... [-]

M.S. in Computer Science

University of San Francisco - College of Arts & Sciences
Campus Full time August 2017 USA San Francisco

The ever-changing world of software and computer science has always demanded more advanced training and education. [+]

Master in Computer ScienceThe ever-changing world of software and computer science has always demanded more advanced training and education.With the University of San Francisco's prime location in the heart of the San Francisco Bay Area and its proximity to Silicon Valley, USF graduate students enjoy an environment rich with the many innovations and opportunities of this world-renown region of technology. For these reasons and others, the number of students in the graduate program in Computer Science at the University of San Francisco has grown by 65% since 1999. USF also offers a three-year MSCS Bridge Program that provides a unique opportunity for students who are from non-Computer Science backgrounds to pursue an MS in Computer Science. In the first year, students take preparatory classes. The Master of Science in Computer Science (MSCS) provides students with a broad background in software development and other core disciplines of computer science. This core background serves as a sound foundation for CS graduate students as they develop a substantial software project - either as a research-driven or commercially sponsored project.Small classes and close interaction with full-time faculty are a hallmark of graduate education at USF. Along with the full-time teaching and research faculty, outside experts bring real-word computing experience to the classroom. In the Harney Science Center on the USF campus, a state-of-the-art computer and multimedia studio was constructed and endowed with a $2.5 million gift from a Computer Science alumnus. Students and faculty also maintain the W.M. Keck Computer Cluster (a Myrinet-connected network... [-]


Master in Artificial Intelligence and Distributed Computing

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

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

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... [-]

Master in Software Engineering

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

The master’s programme in Software Engineering is based on one of our strong research profiles and is also run in very close collaboration with industry. The programme is coupled to the newly established Software Center, which is a joint initiative by Chalmers and University of Gothenburg together with industry partners. [+]

Master's Programs in Computer Science. The master’s programme in Software Engineering is based on one of our strong research profiles and is also run in very close collaboration with industry. The programme is coupled to the newly established Software Center, which is a joint initiative by Chalmers and University of Gothenburg together with industry partners. The programme focuses on three key roles in software system development: Software Project Manager, Software Architect, and Software Quality Manager. The main perspectives for each of these roles are: - Understanding industrial practices - Supporting practices with new methods and tools - Innovating practices to improve performance The master’s education in Software Engineering is targeting students who want to deepen their knowledge about model-driven engineering, software architectures, quality management, project management, and gain practical experience from working in software projects. There is also a potential for deeper studies in programming and design. By working closely together with both researchers and practitioners in projects, you receive a wide range of opportunities to shape a career in industry or academia. The programme is structured around a set of recommended courses in the area of software engineering specialising in the following areas: - Managing software projects - Software architecture and modelling - Verification and validation - Implementation The education is to a large extent project- and problem-based, supervised by both researchers from the university and practitioners from industry. The students are working with real-world problems with connection to both research and practice. Compulsory courses - Project and Quality... [-]

MSc in IT Project Management

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

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

The Master of Science in IT Project Management program offers students knowledge and skills needed to solve real-world IT project management problems. Project management is the discipline of organizing, securing and managing resources so as to complete the project within the defined scope, time, cost and quality constraints within acceptable levels of risk. The Master of Science in Project Management program, along with a valuable academic qualification, provides students with the professional expertise needed to plan and execute a range of IT projects and to avoid typical pitfalls of missed deadlines and mismanaged resources. Additionally, the program enables students to gain experience in currently-available project management methodologies, and introduces new developments regarding management decision support tools like simulation and artificial intelligence techniques. Because of evolving character of the discipline students are taught concepts and skills required to develop new, or enhance existing, procedures to solve project management problems. The program consists of six mandatory courses and six elective courses which are listed below. Mandatory courses: • IT System Modeling and Analysis • Advanced Software Engineering • Project Management (double module) • Project Management Methodologies • Simulation Models and Expert Systems Elective courses (students choose six of the following): • Advanced Database Systems • Data Mining • Programming Principles and Practice • Distributed Processing • Mobile Systems • Advanced Operating Systems • Computer Networks • Web Technologies • Applied Operations Research ADMISSION DOCUMENTS - The admitted student is required to submit to the Registration Office the following documents: Bachelor's / Master's... [-]

International Master in Intelligent Systems

Peter the Great St. Petersburg Polytechnic University
Campus Full time September 2017 Russia St. Petersburg

The objective of the programme is to prepare Master of Science that possess knowledge of state-of-art and new trends of automation and intelligent. [+]

International Master Degree Programme: Intelligent Systems

The 5 best reasons to participate in the program

1. Graduates of this programme have great opportunities to be employed in Russian and international engineering and automation companies as well as to continue their education in international PhD programmes.

2. In two years candidates may receive two diplomas: from SPbSPU and from University of Hannover (Germany).

3. Unique opportunities for international mobility.

4. Master degree programme “Intelligent systems” is fully delivered in English.

5. World-class professors from SPbSPU and University of Hannover (Germany).... [-]


Master of Science in Computer, Communication and Information Sciences - Signal, Speech and Language Processing

Aalto University
Campus Full time August 2017 Finland Espoo Helsinki Pori Mikkeli + 3 more

The purpose of the major is to provide the students with basics of either signal processing or speech and language processing and the ability to apply those in various fields of science and technology. [+]

Study programme The purpose of the major is to provide the students with basics of either signal processing or speech and language processing and the ability to apply those in various fields of science and technology. Students focusing in Signal Processing are given a strong theoretical background of modern signal processing. This means a toolbox of knowledge on signals and systems modelling, representation through transforms, systems optimization and implementation. Some emphasis is on the most recent research priorities in the field of signal processing in domains of data analysis, compression and storage, communications as well as in representation of signals. In addition, students can obtain even deeper understanding of signal processing and adjacent sciences, or apply signal processing in other fields. Interesting applications include radar systems and networks, data transmission, sensing and tracking of objects and spaces, as well as analysis of technical (machine based) and social (human based) networks. The cyber level of the smart power grid is increasingly important for efficient energy distribution and utilization, offering a platform for applying signal processing methodology for solving essential problems of great societal impact. Students focusing in Speech and Language Processing are provided basics of that field and the ability to apply those in various fields of science and technology. Speech and language processing utilizes signal processing, mathematical modeling and machine learning for statistical language modeling, information retrieval and speech analysis, synthesis, recognition and coding. Applications and research priorities have recently been, for example, speech recognition and synthesis, dictation, subtitling, machine... [-]

Master in Discrete Models and Algorithms

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

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

Master's Programs in Computer Science. Study plans Discrete mathematics and combinatorial optimization and Mathematical structures in computer science provide advanced knowledge in the fields of applied mathematics and computer science. An emphasize is put on up-to-date theoretical and applied questions in the area. Study plans Optimization and Mathematical economics provide skills to solve difficult technical and economical problems with the use of optimization methods and suitable methods in mathematical economy. Entrance examination – Master's programme Applicants who will not sufficiently demonstrate the necessary background listed above by 9 May 2016, or with their application, will be invited to take the entrance examination in Prague. The entrance examination for a Master's programme at the Faculty of Mathematics and Physics at Charles University consists of four problems, each worth 25 points. In case of an incomplete solution a proportional number of points will be given. The maximum total score is 100. The minimum score for admission is 40 points out of 100. Depending on the study programme and study branch, the examination has the following structure: Master of Computer Science. All study branches: Computer Science (4 problems, e.g., logic, automata theory, programming, theoretical computer Master’s Entry Requirements The goal of the admissions review process is to select from the pool of applicants those individuals who have shown the best capability and diligence expected of Charles University students. To apply for our Mathematics or Computer Science Master's programmes delivered in English you must: - hold or be working towards a Bachelor’s or Master’s... [-]