• University of Bristol Featured Masters Courses
  • Northumbria University Featured Masters Courses
  • University of Leeds Featured Masters Courses
  • University of Edinburgh Featured Masters Courses
  • Jacobs University Bremen gGmbH Featured Masters Courses
  • Aberystwyth University Featured Masters Courses
  • University of Derby Online Learning Featured Masters Courses

Postgrad LIVE! Study Fair

Birmingham | Bristol | Sheffield | Liverpool | Edinburgh

University of Nottingham in China Featured Masters Courses
University of Cambridge Featured Masters Courses
King’s College London Featured Masters Courses
Imperial College London Featured Masters Courses
ETH Zürich Featured Masters Courses
"mathematics" AND "comput…×
0 miles

Masters Degrees (Mathematics Computer Science)

We have 763 Masters Degrees (Mathematics Computer Science)

  • "mathematics" AND "computer" AND "science" ×
  • clear all
Showing 1 to 15 of 763
Order by 
This two-year master’s programme Computer Science offers stimulating, significant and innovative research at an internationally renowned institute and combines theoretical, experimental and applied approaches. Read more

This two-year master’s programme Computer Science offers stimulating, significant and innovative research at an internationally renowned institute and combines theoretical, experimental and applied approaches.

What does this master’s programme entail?

The two-year master’s programme in Computer Science offers six specialisations which combine excellent theoretical teaching with possibilities for applied work with industrial relevance. This is achieved by intensive collaboration with companies at the Leiden Centre of Data Science. Course themes include topics such as Evolutionary Algorithms, Neural Networks, Databases and Data Mining, Swarm-Based Computation, Bayesian Networks, Multimedia Systems, Embedded Systems and Software, Advanced Compilers and Architectures, Bio-Modeling and Petri Nets.

Read more about our Computer Science programme.

Why study Computer Science at Leiden University?

  • Interdisciplinary research opportunities as well as industrial applications provide you with exciting possibilities. The industrial application areas and interdisciplinary activities include, among others: Bioinformatics and Life Sciences, Medicine, Pharma, Physics, Engineering Applications, Logistics Applications, Energy and Utility related Applications and Financial Applications.
  • You will benefit from our diverse collaborations and the possibilities for internships and projects with our partners such as BMW, ING and Strukton.
  • You have ample of opportunities to assemble your own study path: an individually tailored programme will be designed for each student.

Find more reasons to choose Computer Science at Leiden University.

Computer Science: the right master’s programme for you?

The programme is open for students with an internationally recognized bachelor’s degree in computer science or equivalent. You will be trained as an independent researcher, equipped with the necessary skills to advance your career as a computer scientist.

Read more about the entry requirements for Computer Science.

Specialisations



Read less
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Theoretical Computer Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017). Read more

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Theoretical Computer Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

Computer Science is at the cutting edge of modern technology, is developing rapidly, and Swansea Computer Science graduates enjoy excellent employment prospects.

Computer Science now plays a part in almost every aspect of our lives - science, engineering, the media, entertainment, travel, commerce and industry, public services and the home.

The MSc by Research Theoretical Computer Science enables students to pursue a one year individual programme of research. The

Theoretical Computer Science programme would normally terminate after a year. However, under appropriate circumstances, this first year of research can also be used in a progression to Year 2 of a PhD degree.

As a student of the Theoretical Computer Science MSc by Research programme, you will be fully integrated into one of our established computer science research groups and participate in research activities such as seminars, workshops, laboratories, and field work.

Key Features of Theoretical Computer Science

The Department of Computer Science is amongst the top 25 in the UK, with a growing reputation in research both nationally and internationally in computer science. It is home to world class researchers, excellent teaching programmes and fine laboratory facilities.

All postgraduate Computer Science programmes will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Research

The results of the Research Excellence Framework (REF) 2014 show that we lead Wales in the field of Computer Science and are in the UK Top 20.

We are ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).

Links with Industry

Each spring, Computer Science students prepare and present a poster about their project at a project fair – usually together with a system or software demonstration. The Department of Computer Science also strongly encourages students to create CVs and business cards to take along to the fair, as businesses and employers visit to view the range of projects and make contact with the graduating students.



Read less
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Science. Read more

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Science: Informatique at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

The MSc in Computer Science: Informatique is a Dual Degree scheme between Swansea University and Université Grenoble Alpes for computer science.

The MSc in Computer Science: Informatique Grenoble dual degree scheme is a two year programme that provides students with an opportunity to study in both Swansea, UK and Grenoble, France. One year of the Computer Science: Informatique programme students study at Swansea University and the second year of the programme students study at Université Grenoble Alpes. Upon successful completion of the programme, students will receive an M.Sc. in Advanced Computer Science from Swansea University and a Master from Université Grenoble Alpes.

Key Features of Computer Science: Informatique MSc

- We are top in the UK for career prospects [Guardian University Guide 2018]

- 5th in the UK overall [Guardian University Guide 2018]7th in the UK for student satisfaction with 98% [National Student Survey 2016]

- We are in the UK Top 10 for teaching quality [Times & Sunday Times University Guide 2017]

- 12th in the UK overall and Top in Wales [Times & Sunday Times University Guide 2017]

- 92% in graduate employment or further study six months after leaving University [HESA data 2014/15]

- UK TOP 20 for Research Excellence [Research Excellence Framework 2014]

- Our Project Fair allows students to present their work to local industry

- Strong links with industry

- £31m Computational Foundry for computer and mathematical sciences will provide the most up-to-date and high quality teaching facilities featuring world-leading experimental set-ups, devices and prototypes to accelerate innovation and ensure students will be ready for exciting and successful careers. (From September 2018)

- Top University in Wales [Times & Sunday Times University Guide 2017]

Modules of Computer Science: Informatique MSc

Modules on the MSc in Computer Science: Informatique may include:

Critical Systems; IT-Security: Theory and Practice; Visual Analytics; Data Science Research Methods and Seminars; Big Data and Data Mining; Data Visualization; Human Computer Interaction; Big Data and Machine Learning; Web Application Development; High Performance Computing in C/C++; Software Testing; Graphics Processor Programming; Embedded System Design; Mathematical Skills for Data Scientists; Logic in Computer Science; Computer Vision and Pattern Recognition; High-Performance Computing in C/C++; Hardware and Devices; Modelling and Verification Techniques; Operating Systems and Architectures.

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of our expansion, we are building the Computational Foundry on our Bay Campus for computer and mathematical sciences. This development is exciting news for Swansea Mathematics who are part of the vibrant and growing community of world-class research leaders drawn from computer and mathematical sciences.

Careers

All Computer Science courses will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.

94% of our Postgraduate Taught Computer Science Graduates were in professional level work or study [DLHE 14/15].

Some example job titles include:

Software Engineer: Motorola Solutions

Change Coordinator: Logica

Software Developer/Engineer: NS Technology

Workflow Developer: Irwin Mitchell

IT Developer: Crimsan Consultants

Consultant: Crimsan Consultants

Programmer: Evil Twin Artworks

Web Developer & Web Support: VSI Thinking

Software Developer: Wireless Innovations

Associate Business Application Analyst: CDC Software

Software Developer: OpenBet Technologies

Technical Support Consultant: Alterian

Programming: Rock It

Software Developer: BMJ Group

Research

The results of the Research Excellence Framework (REF) 2014 show that Swansea Computer Science ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).



Read less
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017). Read more

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

As an MSc by Research Computer Science student you will be guided by internationally leading researchers in the field of computer science and will carry out a large individual research project. Computer Science is at the cutting edge of modern technology, and is developing rapidly and Swansea Computer Science graduates enjoy excellent employment prospects.

Computer Science now plays a part in almost every aspect of our lives - science, engineering, the media, entertainment, travel, commerce and industry, public services and the home.

The MSc by Research Computer Science degree enables you to pursue a one year individual programme of research in the field of computer science and would normally terminate after a year. However, under appropriate circumstances, this first year of research can also be used in a progression to Year 2 of a PhD degree.

The MSc by Research programmes including Computer Science MSc by Research all have a recommended initial research training module (Science Skills & Research Methods), but otherwise has no taught element and is most suitable for you if you have an existing background in biosciences or cognate discipline and are looking to pursue a wholly research-based programme of study.

As a student of the MSc by Research Computer Science programme you will be fully integrated into one of our established research groups and participate in research activities such as seminars, workshops, laboratories, and field work.

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Research

The results of the Research Excellence Framework (REF) 2014 show that we lead Wales in the field of Computer Science and are in the UK Top 20.

We are ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).

Links with Industry

Each spring, Computer Science students prepare and present a poster about their project at a project fair – usually together with a system or software demonstration. We also strongly encourage students to create CVs and business cards to take along to the fair, as businesses and employers visit to view the range of projects and make contact with the graduating students.



Read less
In this Master's specialisation, mathematicians working in areas pertinent to (theoretical) computer science, like algebra and logic, and theoretical computer scientists, working in areas as formal methods and theorem proving, have joined forces to establish a specialisation in the Mathematical Foundations of Computer Science. Read more

In this Master's specialisation, mathematicians working in areas pertinent to (theoretical) computer science, like algebra and logic, and theoretical computer scientists, working in areas as formal methods and theorem proving, have joined forces to establish a specialisation in the Mathematical Foundations of Computer Science. The programme is unique in the Netherlands and will be built on the excellence of both research institutes and the successful collaborations therein.

The emphasis of the Master's is on a combination of a genuine theoretical and up-to-date foundation in the pertinent mathematical subjects combined with an equally genuine and up-to-date training in key aspects of theoretical computer science. For this reason, the mathematics courses in this curriculum concentrate on Algebra, Complexity Theory, Logic, Number Theory, and Combinatorics. The computer science courses concentrate on Formal Methods, Type Theory, Category Theory, Coalgebra and Theorem Proving.

Within both institutes, ICIS and WINST, there is a concentration of researchers working on mathematical logic and theoretical computer science with a collaboration that is unique in the Netherlands. The research topics range from work on algebra, logic and computability, to models of distributed, parallel and quantum computation, as well as mathematical abstractions to reason about programmes and programming languages.

See the website http://www.ru.nl/masters/mathematics/foundations

Admission requirements for international students

1. A completed Bachelor's degree in Mathematics or Computer Science

In order to get admission to this Master’s you will need a completed Bachelor's in mathematics or computer science that have a strong mathematical background and theoretical interests. We will select students based on their motivation and their background. Mathematical maturity is essential and basic knowledge of logic and discrete mathematics is expected.

2. A proficiency in English

In order to take part in the programme, you need to have fluency in English, both written and spoken. Non-native speakers of English without a Dutch Bachelor's degree or VWO diploma need one of the following:

- TOEFL score of ≥575 (paper based) or ≥90 (internet based)

- IELTS score of ≥6.5

- Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE), with a mark of C or higher

Career prospects

There is a serious shortage of well-trained information specialists. Often students are offered a job before they have actually finished their study. About 20% of our graduates choose to go on to do a PhD but most find jobs as systems builders, ICT specialists or ICT managers in the private sector or within government.

Our approach to this field

In this Master's specialisation, mathematicians working in areas pertinent to (theoretical) computer science, like algebra and logic, and theoretical computer scientists, working in areas as formal methods and theorem proving, have joined forces to establish a specialisation in the Mathematical Foundations of Computer Science. The programme is unique in the Netherlands and will be built on the excellence of both research institutes and the successful collaborations therein.

The emphasis of the Master's is on a combination of a genuine theoretical and up-to-date foundation in the pertinent mathematical subjects combined with an equally genuine and up-to-date training in key aspects of theoretical computer science. For this reason, the mathematics courses in this curriculum concentrate on Algebra, General Topology, Logic, Number Theory, and Combinatorics. The computer science courses concentrate on Formal Methods, Type Theory, Category Theory, Coalgebra and Theorem Proving.

Our research in this field

Within both institutes, ICIS and WINST, there is a concentration of researchers working on mathematical logic and theoretical computer science with a collaboration that is unique in the Netherlands. The research topics range from work on algebra, logic and computability, to models of distributed, parallel and quantum computation, as well as mathematical abstractions to reason about programmes and programming languages.

See the website http://www.ru.nl/masters/mathematics/foundations

Radboud University Master's Open Day 10 March 2018



Read less
The Department of Computer Science at Binghamton University aims to provide all graduates with a strong foundation in computer science while also offering the opportunity to pursue specific interests within computer science and/or interests in other disciplines. Read more
The Department of Computer Science at Binghamton University aims to provide all graduates with a strong foundation in computer science while also offering the opportunity to pursue specific interests within computer science and/or interests in other disciplines. The program provides students with an understanding of the theory and practice of automating the representation, storage and processing of information, while emphasizing experimental research to design and engineer a wide variety of computer and information systems.

The Master of Science in Computer Science (MSCS) is intended for students with a strong background in computer science and a desire to prepare for research studies or professional practice. If you have bachelor's degree in computer science or a related field, you're invited to apply for admission to our MSCS program.

The doctoral program leads to a PhD in Computer Science. Students admitted into the program typically have a master's degree in computer science or a closely related discipline. Students with a bachelor's degree and a strong academic record may also be directly admitted.

Recent doctoral graduates have gone on to careers in as software engineering at Intel, eBay, Cisco Systems, positions at Hewlett Packard, Microsoft, Twitter, Bloomberg, the Air Force Research Lab, and the U.S. Census. Academic placements include assistant professorships at California State University at Fullerton, Valdosta State University, and Harran University, Turkey.

The Master's program leads to a Master of Science in Computer Science. It is intended for students with a strong background in computer science and a desire to prepare for research studies or professional practice. Holders of the baccalaureate degree in computer science or a related field are invited to apply for admission to the MSCS program. Students whose undergraduate degree is not in computer science may be required to complete some preparatory work in addition to fulfilling the requirements listed below.
Program requirements include four core courses taken over the first two semesters of study. These courses are Computer Organization and Architecture, Operating Systems, Programming Languages and Design & Analysis of Computer Algorithms. Three graduating options are offered: a thesis option, a project option and a comprehensive exam. Beyond the 4 core courses, these options require students to complete 4, 5 and 6 elective courses, respectively, chosen from a broad set of courses offered by the Department.

Applicant Qualifications

- Undergraduate major in computer science or related field desirable for admission
- Applicants are additionally expected to have completed coursework in the following areas:
*Algorithms and data structures
*Computer organization and architecture
*Operating systems
*Programming languages
*Discrete mathematics

All applicants must submit the following:

- Online graduate degree application and application fee
- Transcripts from each college/university you have attended
- Two letters of recommendation (three letters of recommendation for PhD applicants)
- Personal statement (2-3 pages) describing your reasons for pursuing graduate study, your career aspirations, your special interests within your field, and any unusual features of your background that might need explanation or be of interest to your program's admissions committee.
- Resume or Curriculum Vitae (max. 2 pages)
- Official GRE scores

And, for international applicants:
- International Student Financial Statement form
- Official bank statement/proof of support
- Official TOEFL, IELTS, or PTE Academic scores

Read less
Get a degree that's recognised worldwide and contribute to knowledge in your field. A Master of Science (MSc) will develop your technical, laboratory and academic writing skills to prepare you for a career in science. Read more

Get a degree that's recognised worldwide and contribute to knowledge in your field. A Master of Science (MSc) will develop your technical, laboratory and academic writing skills to prepare you for a career in science.

The MSc will take you between two and two and half years of full-time study or up to four years part time. In the first year of your MSc you'll take several courses related to your specialist subject area. Next, you'll carry out in-depth supervised research for 12–15 months and write a thesis. During your studies you might also author publications for peer-reviewed journals.

To do an MSc you'll need a Bachelor's degree in an appropriate field, with an average grade of B+ or higher in your subject area. You may also be able to qualify for entry if you have appropriate work or other experience.

Range of Master's programmes

Choose to complete this Master's programme or one of the specialist science Master's programmes. Most specialist programmes are 180 points and don't require a thesis.

If you have already done a BSc(Hons) you can apply to go directly into the 120-point MSc by thesis.

Available subjects

Workload

If you are studying full time, you can expect a workload of 40–45 hours a week for much of the year. Part-time students doing two courses per trimester will need to do around 20–23 hours of work a week. Make sure you take this into account if you are working.



Read less
Research in Computer Science at York is carried out at the frontiers of knowledge in the discipline. This course gives you the chance to study a range of advanced topics in Computer Science, taught by researchers active in that area. Read more
Research in Computer Science at York is carried out at the frontiers of knowledge in the discipline. This course gives you the chance to study a range of advanced topics in Computer Science, taught by researchers active in that area. This means you will be learning current research results, keeping you at the forefront of these areas. You will also learn a range of theories, principles and practical methods.

The MSc in Advanced Computer Science is a full time, one year taught course, intended for students who already have a good first degree in Computer Science, and would like to develop a level of understanding and technical skill at the leading edge of Computer Science.

You can choose modules on a range of topics, including Cryptography, Functional Programming, Interactive Technologies, Natural Language Processing, Quantum Computation and Model-Driven Engineering.

Course aims
You will gain an in-depth knowledge of topics on the frontiers of Computer Science in order to engage in research or development and application of leading-edge research findings.

By undertaking an individual project, you will become a specialist in your selected area. You will be encouraged to produce research results of your own. This will prepare you to undertake a PhD in Computer Science should you wish to continue studying within the subject.

Learning outcomes
-A knowledge of several difference topics in Computer Science at an advanced level.
-An understanding of a body of research literature in Computer Science in your chosen topic, and the underlying principles and techniques of research in this area.
-An ability to engage in independent study at an advanced level, and develop skills in self-motivation and organisation.

Research Project

You will undertake your individual research project over the Summer term and Summer vacation. This will be a culmination of the taught modules you have taken during the course, which will allow you to focus on a specialist area of interest.

You will be allocated a personal supervisor, who will be an expert in your chosen area of research. You will be hosted by the research group of your supervisor, and you will benefit from the knowledge and resources of the whole group. Being attached to a research group also allows you to take part in their informal research seminars, and receive feedback and help from other members of the group.

You can choose from projects suggested by members of our academic staff. You also have the option of formulating your own project proposal, with the assistance from your personal supervisor.

All project proposals are rigorously vetted and must meet a number of requirements before these are made available to the students. The department uses an automated project allocation system for assigning projects to students that takes into account supervisor and student preferences.

The project aims to give you an introduction to independent research, as well as giving you the context of a research group working on topics that will be allied to your own. You will develop the skills and understanding in the methods and techniques of research in Computer Science.

As part of the assessment of the project, as well as your dissertation, you will give a talk about your work and submit a concise paper which we will encourage you to publish.

Information for Students

The MSc in Advanced Computer Science exposes you to several topics in Computer Science that are under active research at York. The material taught is preparatory to helping to continue that research, and perhaps continuing to a PhD. What we require from you are enthusiasm, hard work and enough background knowledge to take your chosen modules.

The modules on the MSc in Advanced Computer Science are mostly shared with our Stage 4 (Masters level) undergraduates. Your technical background will be different, and we acknowledge this.

During August we will send entrants a document describing the background knowledge needed for each module and, in many cases, references to where this knowledge is available (for example, widely available text books and web pages).

More generally, many of the modules expect a high level of mathematical sophistication. While the kind of mathematics used varies from module to module, you will find it useful to revise discrete mathematics (predicate and propositional calculi, set theory, relational and functional calculi, and some knowledge of formal logic), statistics and formal language theory. You should also be able to follow and produce proofs.

Careers

Here at York, we're really proud of the fact that more than 97% of our postgraduate students go on to employment or further study within six months of graduating from York. We think the reason for this is that our courses prepare our students for life in the workplace through our collaboration with industry to ensure that what we are teaching is useful for employers.

Read less
With a master’s degree in Web Science you will be able to study and solve problems on the web. Our interdisciplinary curriculum emphasises computer science and builds bridges to social sciences, economics, studies of the law, linguistics and mathematics. Read more

About the Program

With a master’s degree in Web Science you will be able to study and solve problems on the web. Our interdisciplinary curriculum emphasises computer science and builds bridges to social sciences, economics, studies of the law, linguistics and mathematics. All mandatory courses are taught in English.

In general, our programme aims at people with a bachelor’s degree or a minor in computer science. Our programme even is free of tuition. The medium of instruction is English.

More information under: http://west.uni-koblenz.de/en/mws

Employment Outlook

Graduates from the institute WeST have found interesting positions at successful companies, started their own businesses or continued towards a Ph.D. Institute WeST has a limited number of places available each year for pursueing a Ph.D. If you excel earning a master's degree in Web Science you will be in pole position for continuing with doctoral studies.

Studying in Koblenz

Koblenz is one of the oldest and most attractive cities in Germany with its surroundings honoured as UNESCO World Cultural Heritage. The university of Koblenz-Landau has close contacts to leading companies, offering possibilities for internships, collaboration and project experiences.

Program Structure

Our interdisciplinary curriculum emphasises computer science and builds bridges to social sciences, economics, law, linguistics and mathematics. All mandatory courses are taught in English.

The curriculum is organized in seven module groups:

Foundations of Web Science (two modules) establishes the main idea of Web Science. It provides an interdisciplinary primary view of the web and of more abstract web structures.

The Computer Science track (three modules) teaches the essential technical aspects, namely web engineering, semantic web and web retrieval.

Web and Society (two out of four modules) considers interaction of the web and different user groups: citizens, customers, entrepreneurs, and interest groups.

The module group Elective Courses in Computer Science provides a wide range of technical topics. Modules may be choosen freely from all Master courses in computer science with relevance to the web given at the University of Koblenz-Landau (three modules or more, mininum 18 ECTS).

Elective Interdisciplinary Courses contain web-related modules offered by our university from other disciplines (such as economy, social sciences, linguistics, anthropology, communication theory etc.). Students have to freely elect at least two modules (12 ECTS).

Topics for seminars and research lab can be freely chosen from Web Science subjects. Furthermore, this module group contains a social skills and leadership training..

The topic of the master's thesis can also be freely chosen from any Web Science subjects.

More information about the curriculum can also be found under: http://west.uni-koblenz.de/en/mws/curriculum

Requirements

Higher Education Entrance Qualification -

It is a legal requirement in Germany that students own a Higher education entrance qualification („Hochschulzugangsberechtigung“) respectively a Master entrance qualification („Masterzugangsberechtigung“), proven by school leaving certificates or studies completed at secondary education level.

Entrance qualification is not checked by us, but uni-assist (see application process), therefore please refrain from asking us if your diploma will be accepted. Uni-assist provides some further information on higher education entrance qualification.

Academic Background in Computer Science -

You need some academic background in computer science, such as a

bachelor's degree in computer science, business informatics, Computervisualistik (as offered by the University of Koblenz-Landau), Information management (as offered by the University of Koblenz-Landau until 2012 if 60 ECTS in computer science were acquired) or similar.

Students with a minor in computer science (at least 60 European Credit Points) can apply, too. Here we have to make a decision on a by-case-basis. To get an educated guess please contact the course guidance.

Only diplomas of international accredited universities will be accepted. If you are unshure if your academic background fulfils our requirements, do not hesitate to contact us: . Non-academic, practical experience in computer science alone does not qualify you for our programme.

Sufficient Grades in Previous Studies -

The German grading system ranges from 1 ("very good") to 6 ("insufficient"). Lower numbers mean better grades. To be eligible for our programme, the grades from your previous studies must be between 1 and 2.5. Grade conversion into the German system is done by uni-assist (cf. application procedure), so we cannot tell you if your GPA fis sufficient. For a first, non-binding estimation on your eligibility you might want to check the calculator provided by the University of Paderborn.

English Language Proficiency -

The medium of instruction for all required courses is English, some additional electives can be taken in German. Thus, we require a certain level of English proficiency such that studies can be undertaken successfully. Thus, a standardised language certificate is required – proof that your previous studies were held in English are not sufficient and not negiotiable. We accept three types of language proficiency certificates:

a TOEFL result of at least 79 (internet based), 550 (paper based) or 213 (computer based)

IELTS test with 6.5 points mininum

Cambridge certificate at level B2 or higher (find an exam center)

Proficiency of German language is not a requirement for application. However, additional elective courses are available in German, and we recommend to learn some basic German for daily life. Some hints on learning German can be found at Deutsche Welle.

Motivational Letter -

Applicants need to supply a motivational letter. Please do not send lenghty standard letters describing your general interest in computer science and your appreciation of the German education system. Instead, refer only to our specific programme and follow these guidelines:

Length should be between 150 and 300 words.

The letter must be written in English.

Specify what you learnt and found particularly interesting in your previous studies or practical experiences. Tell us how you want to deepen these previous experience in our master's programme. You can also describe what you expect to learn here for your future job. You should always refer to our curriculum, especially the module groups Foundations of Web Science, Major Subject Computer Science und Major Subject Web and Society. Make clear that you know our curriculum and point out why you have chosen our programme above others.

Further information under: http://west.uni-koblenz.de/en/mws/requirements

Read less
Get a degree that's recognised worldwide and contribute to knowledge in your field. A Master of Science (MSc) will develop your technical, laboratory and academic writing skills to prepare you for a career in science. Read more

Get a degree that's recognised worldwide and contribute to knowledge in your field. A Master of Science (MSc) will develop your technical, laboratory and academic writing skills to prepare you for a career in science.

The MSc by thesis will take you between 12 and 15 months to complete. You'll carry out in-depth supervised research and write a thesis. During your studies you might also author publications for peer-reviewed journals.

To do an MSc by thesis you'll need an Honours degree or postgraduate diploma in an appropriate field, with an average grade of B+ or higher in your subject area.

Available subjects

Workload

If you are studying full time, you can expect a workload of 40–45 hours a week for much of the year. Part-time students will need to do around 20–23 hours of work a week. Make sure you take this into account if you are working.



Read less
Degree. Master of Science (two years) with a major in Computer Science and Engineering. This programme is aimed at students with a bachelor’s degree in Computer Science. Read more

Degree: Master of Science (two years) with a major in Computer Science and Engineering.

This programme is aimed at students with a bachelor’s degree in Computer Science. You will learn to master the theoretical foundations in the field and how to integrate them with other technologies.

Computer science is one of the most dynamic and expansive fields of science. In addition to having a deep understanding of the theoretical and technical foundations, professionals in this field must be able to apply the technology to challenging problems, and integrate it with other technologies. Applicants should have an adequate background in computer science and good programming skills.

The first three semesters include not only core courses in theoretical computer science and programming, but also elective courses such as artificial intelligence, databases and data mining, the design and programming of computer games, information security, advanced computer graphics, and human-computer interaction. Most courses feature lectures in theory and techniques, which are applied in practical laboratory work. Some courses also feature projects and seminars.

Five specialisations

The programme offers five specialisations:

  • Visualisation and Computer Graphics
  • Artificial Intelligence and Data Mining
  • Computer Networks, Distributed Systems and Security
  • Embedded Systems
  • Programming and Software Methods.

It is not mandatory to follow a specialisation – you may also tailor your own combination of courses, with full freedom of choice. All specialisations are offered in Linköping, except Visualisation and Computer Graphics, which is given at Campus Norrköping.

Major computer science centre

In the final semester you write a thesis, either on your own or with a fellow student. The work may be carried out in collaboration with a company, or as a research project with the university.

Linköping University is home to one of the most important centres of computer science and engineering in Northern Europe, renowned for top-quality research and education. Science Park Mjärdevi, an incubator with 300 knowledge-intensive companies where many of our alumni are employed, is adjacent to the campus.



Read less
Do you already have an academic bachelor’s degree in another scientific field and do you want to pursue your academic career in the field of Computer Science?… Read more
Do you already have an academic bachelor’s degree in another scientific field and do you want to pursue your academic career in the field of Computer Science? Then the master’s in Applied Computer Sciences is the programme you’re looking for! It is organised in such a way to accommodate your scientific background and future-oriented academic interests – developing the necessary Computer Science skills by complementing your primary field of expertise. Above all that, we offer a wide variety of highly specialised elective courses.

Approach

The first year of the programme focuses on developing knowledge of computer science concepts and techniques, with respect to the earlier studies. Lectures address both hardware and software. Elective courses in the second year allow applying the skills established in the first year, in a specialization, such as software development, telecommunications, multimedia, numeric engineering, bioinformatics, or robotics, as well as many other possibilities. Practical sessions and a master's thesis are also built into the study program.

 All areas of computer science are covered
The programme offers lectures in all traditional areas of the computer science and also in more specialized fields like software engineering, embedded systems, web design, telecommunications, multimedia, bioinformatics, robotics and many other subjects.

 Adaptable to your background and field of interest
Since Computer Science has become a diffuse area, we decided to organize this programme in a way that it can be adapted to the background and the field of interest of the student. Students start with a number of courses (depending on their background) summarizing the basic concepts in order to gain enough knowledge to be able to take elective courses and to make a master thesis in their field of interest. All this happens in an academic environment where research is done in all topics with great interaction among the researchers and large involvement of the students.

Joint organisation of two departments provides wide range of research topics
Two departments, the Department of Computer Science in the Faculty of Science and the Department of Electronics and Informatics in the Faculty of Engineering, jointly organise the Master programmes. Together, they have more than 200 researchers who cover a wide range of research topics.

Learning outcomes

During the two master years students are able to continue to build on the broad ranging basic scientific knowledge acquired as part of their Bachelor programme, complemented with the Information Technology profile, combining a multidisciplinary engineering training with an in-depth specialisation in Applied Computer Science.

The Master of Science in Applied Sciences and Engineering : Applied Computer Science programme is designed to train young people who are capable of making an effective contribution to the conception, realisation and coaching of projects of scientific and/or technological scope for the benefit of the fast-changing world we live in.

Curriculum

Available on http://www.vub.ac.be/en/study/applied-sciences-and-engineering-applied-computer-science/programme

Admission requirements

Applicants should have at least a bachelor degree in one of the following areas:
- Engineering
- Mathematics
- Geography/Geology
- Biology/ Biochemistry/ Biotechnology/ Chemsitry
- Economics
- Physics
Students holding a Bachelor’s or Master's degree in another field of the exact sciences or engineering can also apply.

Read less
The Master of Science is intended for those who have a Bachelor's degree in Computer Science or related field, or have sufficient preparation. Read more
The Master of Science is intended for those who have a Bachelor's degree in Computer Science or related field, or have sufficient preparation.

The purpose of the programs is to provide the intellectual and practical tools that professionals will need either to pursue or further careers as computer scientists in industry or to pursue a doctorate degree in computer science.

Curriculum

The Master's curriculum is designed with these goals in mind:

• The core modules provide a solid foundation in the fundamental principles of computer science.
• The 500-level electives give exposure to a variety of Computer Science subject areas.
• The 600-level advanced courses give exposure to research topics of current interest and provide in-depth knowledge.

Core: All four modules (12 credits – 3 credits each)

CSC520 — Foundations of Computer Science
CSC530 — Data Structures
CSC540 — Programming Languages
CSC560 — Analysis of Algorithms

Electives: At least four 500-level electives (at least 12 credits – 3 credits each)

CSC525 — Operating Systems
CSC535 — Networks and Data Communications
CSC545 — Database System Concepts
CSC555 — Software Engineering
CSC565 — Compiler Design
CSC570 — Computer Architecture
CSC573 — Graphics and User Interfaces
CSC575 — Artificial Intelligence
CSC581 — Topics in Computer Science
CSC582 — Topics in Information Systems
CSC583 — Topics in Computer Security
CSC584 — Topics in Web Technology
CSC585 — User Interfaces in Java
CSC586 — System Administration and Security
CSC587 — Web Services
CSC588 — Wireless Programming and Security
CSC589 — UML and Pattern Design

Advanced: At least two 600-level (at least 6 credits – 3 credits each)

CSC600 — Advanced Seminar
CSC603 — Advanced Seminar in Computer Security
CSC604 — Advanced Seminar in Web Technology
CSC605 — Internship
CSC610 — Independent Research
CSC620 — Master's Thesis

To find out more information about the curriculum please visit the website:

http://www.cs.wcupa.edu/grad/masters.html

Internships

West Chester University students may register for a Computer Science Internship and work part time or full time in Summer II or during regular semesters. Students who are not Computer Science majors should use CSC300 (3 credits). Computer Science majors should use CSC400 (6 credits); of the 6 credits, 3 credits can be used to satisfy the major requirements, and the other 3 credits satisfy general electives. Computer Science graduate students should use the course number CSC605 (3 credits).

For more information please visit the website:

https://www.wcupa.edu/internships/

Read less
This MSc programme takes two years of full-time study, covering a wide spectrum of fields in Computer Science and Information Technology. Read more
This MSc programme takes two years of full-time study, covering a wide spectrum of fields in Computer Science and Information Technology. It is suitable for students with diverse academic backgrounds, such as computer science, engineering, statistics, mathematics and related disciplines.
The programme has been awarded with the GRIN 2015 Quality Label.
GRIN is an Italian association that aims at promoting research and education in Computer Science.

The programme

The programme unfolds into three semesters of full-time lectures and lab experience. During the last semester, students work on an individual project and dissertation, supervised by a department member. The programme is organized around two curricula, which include both compulsory and elective courses, from which students have to build their study plan for qualification. The two curricula, which include a first semester of common courses on advanced topics in computer science and mathematics, are the following:

Data Management and Analytics (DMA)
This curriculum is designed to train a new generation of professionals specialized on data. Specifically, the study program of this curriculum allows students to acquire skills and key competences such as machine learning and artificial intelligence, advanced databases and information retrieval, statistics, data mining and visualization, cloud, distributed and parallel computing.

Software Dependability and Cyber Security (SDCS)
The curriculum aims at training specialists in software engineering with advanced skills in software correctness verification, in design of secure and privacy aware systems, and their performance evaluation. The study program for this profile allows students to acquire skills in system modelling, in evaluating and verifying software requirements in terms of correctness, scalability and performance, in secure programming and cyber security.

Applying to the programme

To enter the programme applicants need to have an equivalent of a three-year Italian undergraduate degree (Laurea) such as a BSc degree in Computer Science or related subject, with good background on fundamental topics in computer science and engineering, such as programming languages and software engineering, algorithms, computer architecture, operating systems, databases, and computer networks. Further requirements include basic knowledge of calculus, discrete mathematics, and probability and statistics, foundations of computer science.

When and how to apply

The classes start in September. Please note that it is best to apply as early as possible. Applications are made directly to the University of Venice. For full details visit How to apply, or contact the Head of Study ().

Graduate careers

Students graduating from the MSc in Computer Science may use their new computing skills to enhance their employment prospects in work related to their first degree. Graduates interested in foundational, experimental, and applied research, can join our PhD Programme in Computer Science.

Read less
The Master of Science in Mathematics (120 ECTS) is a research-based master’s programme in which you can specialize in the following fields of mathematics. Read more

The Master of Science in Mathematics (120 ECTS) is a research-based master’s programme in which you can specialize in the following fields of mathematics: Pure Mathematics: Algebra, Analysis and Geometry; and Applied Mathematics: Statistics, Financial Mathematics, Computational Mathematics, Plasma-Astrophysics. 

What is the Master of Mathematics all about?

Besides a solid, all-round education in mathematics, the programme offers you the possibility to focus on either pure or applied mathematics. This allows you to acquire both breadth of knowledge and depth in your own areas of interest. Pure and applied mathematics courses are firmly grounded in the core research activities of the Department of Mathematics. Gradually, you will gain experience and autonomy in learning how to cope with new concepts, higher levels of abstraction, new techniques, new applications, and new results. This culminates in the Master’s thesis, where you become actively involved in the research performed in the various mathematical research groups of the Departments of Mathematics, Physics, Astronomy and Computer Sciences.

 This is an initial Master's programme and can be followed on a full-time or part-time basis.

Structure

The programme of the Master of Science in Mathematics consists of 120 ECTS. You choose one of the two profiles – Pure Mathematics or Applied Mathematics (54 ECTS) – and one of the two options – Research Option or Professional Option (30 ECTS). The profile allows you to specialize either in pure mathematics (algebra, geometry, analysis), or in applied mathematics (statistics, computational mathematics, fluid dynamics).

There is one common course: ‘Mathematics of the 21st Century’ (6 ECTS). To complete the programme, you carry out a research project that results in a master’s thesis (30 ECTS).

Department

All staff members of the Department of Mathematics are actively involved in the two-year Master of Science in Mathematics programme. The academic staff at the Department of Mathematics consists of leading experts in their fields. Researchers in pure mathematics focus on algebraic geometry, group theory, differential geometry, functional analysis, and complex analysis. Researchers in mathematical statistics deal with extreme values, robust statistics, non-parametric statistics, and financial mathematics. Research in the applied mathematics group is in computational fluid dynamics and plasma-astrophysics.

Career perspectives

Mathematicians find employment in industry and in the banking, insurance, and IT sectors. Many graduates from the research option pursue a career in research and start a PhD in mathematics, mathematical physics, astrophysics, engineering, or related fields.



Read less

Show 10 15 30 per page



Cookie Policy    X