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Masters Degrees (Msc Computer Science)

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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



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The programme aims at preparing engineers to develop and use information technology tools so as to satisfy the widest variety of applications. Read more

Mission and Goals

The programme aims at preparing engineers to develop and use information technology tools so as to satisfy the widest variety of applications. Compared to the Bachelor of Science, Master of Science students acquire greater ability to model and solve complex problems, integrating different advanced skills and technologies. The programme comprises three tracks: Communication and Society Engineering, Sound and Music Engineering, Data Engineering.

The teaching language is English.

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/computer-science-and-engineering/computer-science-and-engineering-track-como/

Career Opportunities

The information technology engineer operates mainly in companies manufacturing and distributing information technology and robotics equipment and systems, companies providing products and services with a high information technology content, private organisations and public administration using information technology to plan, design, manage, decide, produce and administrate.

Presentation

See http://www.polinternational.polimi.it/uploads/media/Computer_science_and_engineering_CO_01.pdf
The Master of Science programme in Computer Science and Engineering aims at training engineers able to develop and use information technology tools so as to satisfy the widest variety of applications. Four tracks are available, corresponding to four main cultural areas. The “Communication and Society Engineering” track focuses on the integration of computer science and communication skills, for designing, implementing, presenting and evaluating innovative multimedia applications. The methodologies for the management of data, such as data mining, pattern recognition, information retrieval, constitute the core of the “Data Engineering” track. The “ICT Engineering, Business and Innovation” track aims at building professional profiles that combine a solid computer science background with managerial capabilities, through a selection of computer science and management courses, integrated with a broad cross-disciplinary project, carried out in collaboration with companies and Management Engineering students and professors. Finally, the “Sound and Music Engineering” track (in collaboration with the “Giuseppe Verdi” Music Conservatory of Como) focuses on the concepts and processes that are behind generation, analysis, manipulation/ processing, transport, access, coding and rendering of audio and musical signals. The programme is taught in English.

Subjects

Key subjects available:
Multimedia Interactive Applications for Web and Mobile Devices, Computer Graphics and Applications, Advanced Software Engineering, Advanced Computer Architectures, Performance Evaluation of Computer Systems, Multimedia Information Retrieval, Multimedia Signal Processing, Sound Analysis, Synthesis and Processing, Electronics and Electroacoustic.

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/computer-science-and-engineering/computer-science-and-engineering-track-como/

For contact information see here http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/computer-science-and-engineering/computer-science-and-engineering-track-como/

Find out how to apply here http://www.polinternational.polimi.it/how-to-apply/

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The demand for better products and commercial services drives the search for creative solutions using computing-based systems, and has established a critical dependence between computing and practically every industry and sector. Read more

The demand for better products and commercial services drives the search for creative solutions using computing-based systems, and has established a critical dependence between computing and practically every industry and sector. This flexible programme offers a broad range of advanced study options, reflecting the emerging technologies in industry.

You will be able to shape your programme to match your interests and career ambitions, choosing modules from a range of areas, including the development of human-computer communications (dialogue systems), ubiquitous computing, applying interactive digital multimedia techniques, security and surveillance, and building decision-support tools for uncertain problems in various contexts (e.g. legal, medical, safety). This is a multidisciplinary programme and, in addition to pure computer science modules, you may choose options where computer science intersects with other fields and builds on your first degree.

This programme will:

  • Allow you to personalise your programme through a wide range of employment-relevant module choices.
  • Build your links with industry and potential employers - we have excellent links with industry, working together on commercial and research projects.

Why study your MSc in Computer Science at Queen Mary?

Our research-led approach

Your tuition will be delivered by field leading academics engaged in world class research projects in collaboration with industry, external institutions and research councils.

Our strong links with industry

  • We have collaborations, partnerships, industrial placement schemes and public engagement programmes with a variety of organisations, including Vodafone, Google, IBM, BT, NASA, BBC and Microsoft.
  • Full-time MSc with Industrial Experience option available on our taught MSc programmes. You have the option to complete over two years, with a year of work experience in industry.
  • Industrial projects scheme - To support industrial experience development, you can do your final project in collaboration with an industrial partner.

Full-time

Undertaking a masters programme is a serious commitment, with weekly contact hours being in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching independent learning hours may need to increase significantly. Please contact the course convenor for precise information on the number of contact hours per week for this programme.

Part-time

Part-time study options often mean that the number of modules taken is reduced per semester, with the full modules required to complete the programme spread over two academic years. Teaching is generally done during the day and part-time students should contact the course convenor to get an idea of when these teaching hours are likely to take place. Timetables are likely to be finalised in September but you may be able to gain an expectation of what will be required.

Important note regarding Part Time Study

We regret that, due to complex timetabling constraints, we are not able to guarantee that lectures and labs for part time students will be limited to two days per week, neither do we currently support any evening classes. If you have specific enquiries about the timetabling of part time courses, please contact the MSc Administrator.

Structure

MSc Computer Science is currently available for one year full-time study, two years part-time study.

Semester 1 - (Maximum of 4 modules to be taken in Semester 1)

Select at least one from:

  •  Functional Programming
  •  Semi-Structured Data and Advanced Data Modelling
  •  Introduction to Object-Oriented Programming

Further options:

  • Machine Learning
  • Introduction to Computer Vision
  • Design for Human Interaction
  • Program Specifications
  • Big Data Processing
  • Introduction to Law for Science and Engineering

Semester 2 - (Maximum of 4 modules to be taken in Semester 2)

Select at least one from:

  •  Security and Authentication 
  •  Interactive Systems Design
  •  Bayesian Decision and Risk Analysis 

Further options from:

  •  Mobile Services
  •  Real Time & Critical Systems
  •  Business Technology Strategy
  •  The Semantic Web
  •  Information Retrieval
  •  Software Analysis and Verification
  •  Natural Language Processing
  •  Advanced Object Oriented Programming
  •  Cloud Computing
  •  Data Analytics
  •  Parallel Computing
  •  Machine Learning for Visual Data Analytics
  • Foundations of Intellectual Property Law and Management

Semester 3

  •  Project

Please note that elective modules are subject to availability, timetabling constraints and may be subject to change.



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Overview. This course is an ideal next step following a first degree in computer science subjects, covering the school's research strengths such as artificial intelligence, iterative systems and the mathematical foundations of programming. Read more

Overview

This course is an ideal next step following a first degree in computer science subjects, covering the school's research strengths such as artificial intelligence, iterative systems and the mathematical foundations of programming. The degree will prepare you a for highly skilled career in industry and/or research. 

Subjects taught within the degree reflect the research strengths of the School of Computer Science, particularly in the mathematical foundations of programming, in automated scheduling and planning, in artificial intelligence, in human computer interaction, in modelling, and in interactive systems. The degree aims to bring you to the forefront of research in these areas, equipping you to take leading roles in software and research development where the demands of reliability and efficiency are particularly important.

Course structure

The MSc in Computer Science is offered on a full-time basis over one year. The course comprises 180 credits, split across 120 credits’ worth of compulsory and optional modules and a 60-credit research project. 

The first semester provides a rigorous basis for the development of advanced software. The second semester gives the opportunity to specialise in an area close to the research strengths of the School. This specialisation is reinforced by the individual project completed over the summer months. This project involves conducting an in-depth piece of research, carried out under the supervision of a member of academic staff.

Please visit the online prospectus for detailed module information.

Careers

The MSc Computer Science prepares its students for careers in advanced software development, particularly where reliability and efficiency are vital requirements. Its graduates are likely to assume leading roles in major software-development projects in one of the areas of specialisation. 

This course also provides an excellent foundation for further study and you may decide to progress to a PhD in order to continue your research.



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The demand for better products and commercial services drives the search for creative solutions using computing-based systems, and has established a critical dependence between computing and practically every industry and sector. Read more

The demand for better products and commercial services drives the search for creative solutions using computing-based systems, and has established a critical dependence between computing and practically every industry and sector. This flexible programme offers a broad range of advanced study options, reflecting the emerging technologies in industry.

This is a multidisciplinary programme and, in addition to pure computer science modules, you may choose options where computer science intersects with other fields and builds on your first degree.

  • Allow you to personalise your programme through a wide range of employment-relevant module choices.
  • Build your links with industry and potential employers - we have excellent links with industry, working together on commercial and research projects.

Industrial Experience

The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student’s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement. 

Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

If you do not secure a placement you will be transferred onto the 1 year FT programme.

Why study your MSc in Computer Science at Queen Mary?

Our research-led approach

Your tuition will be delivered by field leading academics engaged in world class research projects in collaboration with industry, external institutions and research councils.

Our strong links with industry

  • We have collaborations, partnerships, industrial placement schemes and public engagement programmes with a variety of organisations, including Vodafone, Google, IBM, BT, NASA, BBC and Microsoft.
  • Full-time MSc with Industrial Experience option available on our taught MSc programmes. You have the option to complete over two years, with a year of work experience in industry.
  • Industrial projects scheme - To support industrial experience development, you can do your final project in collaboration with an industrial partner.

Structure

The modules listed below provide some general guidance on what you may be expected to learn during each semester and year of this degree. The exact modules available may vary depending on staff availability, research interests, new topics of study, timetabling and student demand.

MSc Computer Science is currently available for one year full-time study, two years full-time study with industrial experience and two years part-time study.

Full-time

You will take four taught modules per semester followed by final examinations and the MSc research project (dissertation).

Undertaking a masters programme is a serious commitment, with weekly contact hours in addition to numerous hours of independent learning and research needed to progress at the required level. When coursework or examination deadlines are approaching independent learning hours may need to increase significantly. Please contact the course convenor for precise information on the number of contact hours per week for this programme.

Part-time

Part-time study options often mean that the number of modules taken is reduced per semester, with the full modules required to complete the programme spread over two academic years. Teaching is generally done during the day and part-time students should contact the course convenor to get an idea of when these teaching hours are likely to take place. Timetables are likely to be finalised in September but you may be able to gain an expectation of what will be required.

Year 1

Semester 1 - (Maximum of 4 modules to be taken in Semester 1)

Select at least one from:

  • Functional Programming
  • Introduction to Object-Oriented Programming
  • Semi-Structured Data and Advanced Data Modelling

Further options:

  • Big Data Processing
  • Design for Human Interaction
  • Introduction to Computer Vision
  • Introduction to Law for Science and Engineering
  • Machine Learning
  • Program Specifications

Semester 2 - (Maximum of 4 modules to be taken in Semester 2)

Select at least one from:

  • Bayesian Decision and Risk Analysis 
  • Interactive Systems Design
  • Security and Authentication 

Further options from:

  • Advanced Object Oriented Programming
  • Business Technology Strategy
  • Cloud Computing
  • Data Analytics
  • Foundations of Intellectual Property Law and Management
  • Information Retrieval
  • Machine Learning for Visual Data Analytics
  • Mobile Services
  • Natural Language Processing
  • Parallel Computing
  • Real Time & Critical Systems
  • Software Analysis and Verification
  • The Semantic Web

Semester 3

  • Project

Year 2

  • Industrial Placement Project (max 12 months)

Please note that elective modules are subject to availability, timetabling constraints and may be subject to change



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MSc Computer Science with Business. combines core Computer Science modules with modules in Management, Strategy, Marketing and Accounting. Read more

MSc Computer Science with Business combines core Computer Science modules with modules in Management, Strategy, Marketing and Accounting. This course is taught in partnership between the College of Engineering, Mathematics and Physical Sciences and the University of Exeter Business School. This blend of business and science is designed for students wanting management or leadership roles working with data.

You will be able to engage with the latest developments from a range of Computer Science topics with leading academics in the field. Course content draws directly upon our particular research strengths in artificial intelligence, machine learning, data science, high performance computing and networks, and cyber-security.

This MSc is career-focused, with an emphasis on postgraduate training. You will develop a wide range of important skills such as team-working, coding, independent research and problem solving. This course is suited to those looking to use their expertise commercially in any sector, particularly in management or leadership roles.

Your project, which forms a major part of the MSc, will maintain a business focus as you explore data science in a commercial environment.

Modules

Constituent modules and pathways may be updated, deleted or replaced in future years as a consequence of programme development. Details at any time may be obtained from the programme website.

The compulsory modules can include;

  • Group development project
  • Computer science business project

Optional modules can include;

  • Managing operations
  • Strategic innovation management
  • Strategy
  • Marketing Strategy
  • Accounting for international managers
  • Logic, ontology and knowledge representation
  • Nature-inspired computation
  • Research methodology
  • Machine learning and statistics
  • Evolutionary computation and optimisation
  • Computer modelling and simulation
  • Computer vision
  • From data to decisions
  • Data in business and society
  • High performance computing and data architectures
  • Social networks and text analysis
  • Advanced machine learning and statistics
  • M-level modules in mathematics

Assessment method

Assessment methods include essays, closed book tests, exercises in problem solving, use of the Web for tool-based analysis and investigation, mini-projects, extended essays on specialized topics, and individual and group presentations.



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The. MSc Computer Science. is an advanced programme for graduates and professionals. It focuses on the latest techniques and technologies, teaching you how to apply these to complex contemporary problems across the breadth of society. Read more

The MSc Computer Science is an advanced programme for graduates and professionals. It focuses on the latest techniques and technologies, teaching you how to apply these to complex contemporary problems across the breadth of society.

You will be able to engage with the latest developments from a range of Computer Science topics with leading academics in the field. Course content draws directly upon our particular research strengths in artificial intelligence, machine learning, data science, high performance computing and networks, and cyber-security.

This MSc is career-focused, with an emphasis on postgraduate training. You will develop a wide range of important skills such as team-working, coding, independent research and problem solving. This course is particularly suited to those looking to continue in academia or use their expertise commercially in any sector.

Modules

Constituent modules and pathways may be updated, deleted or replaced in future years as a consequence of programme development. Details at any time may be obtained from the programme website.

The compulsory modules can include;

  • Group development project
  • Advanced computer science project

Optional modules can include;

  • Logic, ontology and knowledge representation
  • Nature-inspired computation
  • Research methodology
  • Machine learning and statistics
  • Evolutionary computation and optimisation
  • Computer modelling and simulation
  • Computer vision
  • From data to decisions
  • Data in business and society
  • High performance computing and data architectures
  • Social networks and text analysis
  • Advanced machine learning and statistics
  • M-level modules in mathematics
  • ECM34xx modules in Computer Science

Assessment method

Assessment methods include essays, closed book tests, exercises in problem solving, use of the Web for tool-based analysis and investigation, mini-projects, extended essays on specialized topics, and individual and group presentations.



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This post-graduate programme aims at forming engineers endowed with a rich cultural basis and able to develop and exploit the methods and tools of computer science with engineering attitude, to tackle a wide spectrum of applications. Read more

Mission and Goals

This post-graduate programme aims at forming engineers endowed with a rich cultural basis and able to develop and exploit the methods and tools of computer science with engineering attitude, to tackle a wide spectrum of applications. The Degree programme develops the ability to design and implement hardware and software systems, which find application in the area of industry and services, either private or public. Graduates are also able to plan and manage complex projects thanks to a deep knowledge of engineering methodologies and technologies.
A Computing Systems Engineer, however, is not only a designer of applications and systems, but is potentially able to develop new technologies or to find innovative applications.

The programme is taught in English

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/computer-science-and-engineering/computer-science-and-engineering-track-milano/

Career Opportunities

The main professional areas targeted by our graduates are innovation and development of production, advanced design, and management of complex systems, either as independent professionals or as members of manufacturing or service enterprises, or in the public administration.
Graduates will find their jobs in the areas of hardware or software production, digital media providers, automation and robotics, information systems and computer networks, services and public administration.

Presentation

See http://www.polinternational.polimi.it/uploads/media/Computer_science_and_engineering_MI_01.pdf
The programme provides the student with a comprehensive background on state-of-the art technologies, with a strong connection with leading edge research. Through an interdisciplinary approach, it forms engineers endowed with a rich cultural basis and able to develop and exploit the methods and tools of computer science with an engineering attitude, to tackle a wide spectrum of applications. The MSc develops the student’s ability to design and implement hardware and software systems, which find application in the area of industry and services. Graduates are highly skilled professionals who can plan and manage complex projects thanks to a deep knowledge of engineering methodologies and technologies.
The programme is taught in English.

Subjects

Key subjects available:
- Advanced Databases, Big Data Analysis and Information Systems
- Advanced Software Engineering
- Artificial Intelligence, Machine Learning and Soft Computing
- Computer Ethics
- Design of Safety-critical, Concurrent and Real-time Systems
- Distributed Systems and Middleware Technologies
- High Performance Computer Architectures and Embedded System Design
- Pervasive Computing
- Robotics and Image Analysis
- Web, and Multimedia Technologies, Videogames Design

See the website http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/computer-science-and-engineering/computer-science-and-engineering-track-milano/

For contact information see here http://www.polinternational.polimi.it/educational-offer/laurea-magistrale-equivalent-to-master-of-science-programmes/computer-science-and-engineering/computer-science-and-engineering-track-milano/

Find out how to apply here http://www.polinternational.polimi.it/how-to-apply/

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This MSc programme will provide you with the skills required to understand the entrepreneurship and innovation required for the software industry. Read more
This MSc programme will provide you with the skills required to understand the entrepreneurship and innovation required for the software industry. Many national and multinational companies employ computer science graduates in areas such as software development and engineering, artificial intelligence, systems and networks, database and systems security as well as mobile multimedia, modelling, research and development. You will also get the chance to demonstrate the skills you have learned by completing a substantial research and development project.

Visit the website: http://www.ucc.ie/en/ckr40/

Course Details

Students must attain 90 credits through a combination of:

- Core Modules (30 credits)
- Elective Modules (30 credits) (15 credits from Group 1 and 15 credits from Group 2 below)
- Research & Development Project (30 credits)

Core Modules

CS6403 Case Studies in Computing Entrepreneurship (5 credits) - Dr. John Herbert
CS6406 Large-Scale Application Development and Integration 1 (5 credits) - Prof. Gregory Provan
CS6407 Large-Scale Application Development and Integration 2 (5 credits) - Prof. Gregory Provan
CS6408 Database Technology (5 credits) - Mr. Humphrey Sorensen
CS6409 Information Storage and Retrieval (5 credits) - Mr. Humphrey Sorensen
CS6410 Project Development Skills (5 credits) - Mr. Marc Van Dongen

Elective Modules Group I

CS6312 Mobile Devices and Systems (5 credits) - Dr. Dan Grigoras
CS6314 Mobile Applications Design (5 credits) - Dr. Sabin Tabirca
CS6320 Formal Methods for Distributed Systems (5 credits) - Dr. John Herbert
CS6321 Model-Based Software Development (5 credits) - Dr. John Herbert
CS6322 Optimisation (5 credits) - Dr. Steve Prestwich

Elective Modules Group 2

CS6313 Services and Mobile Middleware (5 credits) - Dr. Dan Grigoras
CS6315 Mobile Systems Security (5 credits)
CS6316 Cellular Network Services (5 credits)
CS6317 Multimedia Technology in Mobile Networks (5 credits) - Dr. Sabin Tabirca
CS6323 Analysis of Networks and Complex Systems (5 credits) - Prof. Gregory Provan
CS6325 Network Security (5 credits) - Dr. Simon Foley
CS6405 Datamining (5 credits) - Dr. Marc Van Dongen

Research Phase (after period 2)

CS6400 Dissertation in Computing Science (30 credits)

Assessment

Full details and regulations governing Examinations for each programme will be contained in the Marks and Standards 2015 Book and for each module in the Book of Modules 2015/2016 - http://www.ucc.ie/modules/

- Postgraduate Diploma in Computing Science -

Students failing to achieve an aggregate of at least 60% across all modules but who achieve a pass in each of the taught modules at their first attempt graduate with a Postgraduate Diploma in Computing Science. Students may also opt to exit the programme and graduate with a Postgraduate Diploma in Computing Science provided they have achieved a pass in each module.

Careers

Companies actively recruiting Computer Science graduates in 2014-15 include:

Accenture, Aer Lingus, Amazon, Apple, Bank of America Merrill Lynch, Bank of Ireland, BT, Cisco, CiTi-Technology, Cloudreach, Dell, Digital Turbine Asia Pacific, EMC, Enterprise Ireland, Ericsson, First Derivatives, Guidewire, IBM, Intel, Open Text, Paddy Power, Pilz, PWC, SAP Galway Transverse Technologies, Trend Micro, Uniwink, Version 1 (Software).

How to apply: http://www.ucc.ie/en/study/postgrad/how/

Funding and Scholarships

Information regarding funding and available scholarships can be found here: https://www.ucc.ie/en/cblgradschool/current/fundingandfinance/fundingscholarships/

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This programme is designed to equip you with the advanced knowledge and skills to develop the innovative solutions required by today’s rapidly advancing computing industry. Read more
This programme is designed to equip you with the advanced knowledge and skills to develop the innovative solutions required by today’s rapidly advancing computing industry.

Developments in artificial intelligence, computer vision, robotics, mobile technology and games applications have all become a normal part of society’s interaction with computing devices.

This MSc Computer Science provides the opportunity to enhance your existing knowledge of computer programming and mathematical frameworks through laboratory workshops, lectures, debates and independent research.

Working alongside our staff, you will have the chance to develop your critical understanding and gain practical experience in innovative areas such as computer vision and surveillance, robotics and mobile computing in order to develop innovative solutions to current and future challenges.

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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).

The MSc in Computer Science course is for you if you are a graduate from one of a wide range of disciplines and are looking to change direction or because of the needs of your chosen career, require a solid foundation in Computer Science.

As the use of computers and computer based systems continues to grow in all aspects of life, at home and at work, it is apparent that there will be for years to come a need for many people who can combine a knowledge of Computer Science, the discipline that underlies Information Technology, and degree level knowledge in a wide variety of other disciplines.

Over the duration of the MSc Computer Science course you will study a variety of modules taught by academic staff that are part of internationally renowned research groups. The course is also regularly updated to ensure that it keeps pace with the rapid developments in Computer Science.

Key Features of Computer Science MSc

• We are top in the UK for career prospects*

• We are 3rd in the UK for teaching quality**

• 5th in the UK overall*

• 7th in the UK for student satisfaction with 98% [National Student Survey 2016]

• 7th in the UK overall and Top in Wales*

• High employability prospects - we are 8th in the UK for graduate prospects*

• 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)

*Guardian University Guide 2017

**Times & Sunday Times University Guide 2016

Modules of Computer Science MSc

Modules for the MSc in Computer Science include Computer Science Project Research Methods but please visit our course page for more information.

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.

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 Graduates of Computer Science were in professional level work or study [DLHE 14/15].

Student Profile

“I chose the MSc Computer Science as a conversion from my previous War and Society degree, primarily employment opportunities. The course was by no means easy for me coming from an arts background, and the first few weeks I felt a little over my head, but thanks to the truly stimulating content from the syllabus and the high quality of the teaching within the department I soon caught up and began to thrive on the course. My project revolved around a comparative study of the Haskell Web-Framework Yesod and ASP.NET. During the completion of this I picked up many of the skills that I now use on an everyday basis in my role at Kinspeed (A Sheffield based Software House). Since starting work I have been able to apply many of the skills I obtained during my time at Swansea and have no doubt that choosing to study the MSc Computer Science at Swansea was one of the better decisions of my life.”

Chris Swires

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*).



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This course takes an immersive approach to learning both the principles and practices of computer systems with much of the material based around examples and practical exercises. Read more
This course takes an immersive approach to learning both the principles and practices of computer systems with much of the material based around examples and practical exercises. Students completing this course will have a firm grasp of the current practices and directions in computer systems and will be able to design and build for example, distributed systems for the Web using Internet, Intranet and other technologies.

Programme Objectives
To provide the foundations for understanding of core ideas, methods and technologies in computer science.
To provide the technical skills and background material so that the postgraduate will be able to conduct a near state-of-the-art research or development project;
To provide the graduate with a range of specialist and transferable skills;
To provide the educational base for further professional development and lifelong learning.
Course Topics
Data networks and communications, project foundations and management tools, broadband communication systems, technologies for Internet systems, agent technologies and Artificial Intelligence, introduction to distributed systems and mobile systems, project and dissertation.

Taught Modules:

Java programming: This module provides students with an in-depth understanding of current and emerging Java programming concepts and programming variations. The module teaches the basic and advanced structures of Java and makes use of the object-oriented approach to software implementation. It also gives an in-depth understanding of advanced Java concepts in the area of user interfaces and will enable students to apply the theoretical knowledge of the Java language onto a test-case software development scenario.

Introduction to distributed systems: This module will introduce key ideas in distributed Systems and its role and application in operating systems and middleware. On completion of this module students will have an understanding of the key issues for distributed systems at OS level or as middleware, they will understand core concepts of concurrency, be able to program multithreaded and distributed applications and understand the issues and use of algorithms for transactional systems.

Data networks and communications: This module will provide an in-depth understanding of how real communication networks are structured and the protocols that make them work. It will give the students an ability to understand in detail the process required to provide an end-to-end connection.

Technologies for Internet Systems: In this module, students will be introduced to state of the art technologies and tools for Internet Systems and in particular e-commerce systems.

Agent Technologies: This module provides an in-depth understanding of technologies from Artificial Intelligence research such as machine learning, data mining, information retrieval, natural language processing, and evolutionary programming. It will look at the application of agent-oriented technologies for Artificial Life, for building Web search engines, for use in computer games and in film (such as the MASSIVE software developed for the Lord of the Rings movies), and for robotics. It will also provide an introduction to agent-oriented programming using the NetLogo programming language.

Foundations of computer graphics: This module will teach techniques, algorithms and representations for modelling computer graphics and enable students to code 2D and 3D objects and animations.

Database systems: Students completing this module will gain an in depth understanding of DBMS/Distributed DBMS architecture, functionality, recovery and data storage techniques. Students will also have a full understanding of how queries are processed and the importance of database maintenance. This module is designed to enable students to perform research into one or two areas of databases; for example, object oriented databases and deductive databases.

Project foundations and management tools: This module prepares students for their MSc research project, including reference search and survey preparation and familiarisation with project management tools.

MSc Research project: After the successful completion of the taught component of the MSc programme, students will spend the remainder of the time undertaking a research project and producing an MSc Dissertation. During this process, students will conduct project work at state-of-the-art research level and to present this work as a written dissertation. Completing a project and dissertation at this level will train students in: problem solving; researching new topics; organizing knowledge; exercising elementary time and project management skills; reporting and writing skills.

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This MSc programme offers a broad range of advanced study options, with modules taken from a variety of application areas. It is multidisciplinary and, in addition to computer science, you may choose options in which computer science intersects with other fields. Read more
This MSc programme offers a broad range of advanced study options, with modules taken from a variety of application areas. It is multidisciplinary and, in addition to computer science, you may choose options in which computer science intersects with other fields. The programme prepares you for a wide range of careers depending on your selection of modules studied. Typical jobs after graduation include advanced programmer, software development and support, software engineer, product designer/developer, systems analyst, interface/interaction designer, database developer, and other specialist employment based on your selected study areas.

Programme outline

Modules can include:

Introduction to Computer Vision
XML and Structured Documents
Advanced Program Design
Machine Learning
Design for Human Interaction
Program Specifications
Advanced Database Systems & Technology
Distributed Systems and Security
Introduction to Law for Science and Engineering

Techniques for Computer Vision
The Semantic Web
Information Retrieval
Mobile Services
Security and Authentication
Real Time & Critical Systems
Business Technology Strategy
Interactive Systems Design
Software Analysis and Verification
Software Risk Assessment
C++ for Image Processing


Please note that module availability is subject to change.

Recent graduate destinations

* Support Engineer, Computer Assets
* Analyst, Credit Suisse First Boston
* Business Analyst, Norton Rose
* Queen Mary, University of London
* Tesco Plc
* The Open University

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The Master of Science (M.Sc.) program offers students in a wide range of disciplines the opportunity to earn a master’s degree by writing a Thesis and successfully completing a limited number of courses. Read more
The Master of Science (M.Sc.) program offers students in a wide range of disciplines the opportunity to earn a master’s degree by writing a Thesis and successfully completing a limited number of courses. The number and details of the courses are determined within the first semester of the student's program.

Students may complete their degrees in either a full- or part-time capacity. Full-time students complete a 24-month program while part-time students complete a 48-month program. Part-time students will normally complete all required course work in the first 24 months, with the subsequent months committed to continued research and production of the Thesis.

Although degrees are awarded in specific disciplines, the program is administered centrally by the School of Graduate Studies, rather than by individual departments or Faculties.

Course detail

Graduate degrees traditionally have been awarded for the successful completion of a satisfactory thesis. The thesis route expresses the fundamental tradition of academic scholarship. It also relates to the University’s undergraduate programs, because the creation of a thesis in any discipline calls for a range of skills which are central to the liberal education tradition, including analysis and synthesis of ideas, empirical investigations, the construction and articulation of arguments, and writing skills.

Because of the nature of the M.Sc. program, the thesis forms the central requirement of the program. At the master’s level, a thesis involves close collaboration between supervisor and student. Consequently, it is necessary for a candidate to establish contact with potential supervisors prior to application for admission. Candidates seeking potential supervisors should contact either the relevant academic department or the School of Graduate Studies.

Why study at the University of Lethbridge?

As a graduate student at the University of Lethbridge, you’ll find yourself at the centre of a student-focused environment that nurtures innovation, critical thinking and creativity.

The University of Lethbridge is one of Canada’s top-ranked universities and leading research institutions.

At the foundation of our graduate programs is a multidisciplinary and personalized experience. A collaborative environment is encouraged between faculty and students. This means you have flexibility in decisions regarding the research and learning path you take.

At the U of L, we are committed to helping every one of our students thrive. From aiding with financial support to one-on-one mentorship to individualized career advice, you’ll find support every step of the way.

When you graduate, you will have the confidence you need to succeed in whatever you do, whether that means pursuing further education, teaching in an academic setting or establishing a professional career.

We’re here to help as you find the answers to your questions. As Alberta’s Destination University, the U of L gives you room to think, create and explore, providing a university experience unlike any other.

How to apply

In order to apply, you will need to provide the following documentation:

• Academic Transcripts
• Curriculum Vitae
• Three Letters of Reference
• Letter of Intent
• English Language Proficiency (ELP)

All applications and supporting documents must be provided through the online portal: https://www.uleth.ca/future-student/graduate-studies/apply

Co-operative Education & Internships Option

The Co-operative Education/Internship Option is available to students for the Master of Arts (MA) and Master of Science (MSc) programs. Co-operative education is an educational model that formally integrates academic study at the master’s level with relevant, paid work experience in appropriate employment fields such as government, institutions, and industry. The University, the employer, and the student are in partnership to ensure an enriching experience toward the student's professional development.

For more information, visit the website: http://www.uleth.ca/artsci/coop/co-operative-education-internship-option-graduate-studies

Funding

Find information on Scholarships here http://www.uleth.ca/graduate-studies/award-opportunities

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This course is ideal for computing graduates who want to prepare for a general career in IT without the need to specialise at this stage. Read more
This course is ideal for computing graduates who want to prepare for a general career in IT without the need to specialise at this stage.
Subjects range from data modelling, embedded systems and systems architecture to intelligent agents, equipping you to fully understand the application of computing technology in real-world situations whilst gaining the practical business skills that employers seek.

Intermediate qualifications available:

• Postgraduate certificate – 60 credits at Masters level
• Postgraduate diploma – 120 credits at Masters level

There are six entry points through the year. This allows you to start when it is most suitable. The entry points are:

• September
• November
• January
• March
• June
• July

Visit the website: https://www.beds.ac.uk/howtoapply/courses/postgraduate/next-year/computer-science

Course detail

• Study a broad range of IT disciplines including online database applications, intelligent agents, programming embedded systems, professional project management systems architecture, network systems, distributed and parallel architectures and cryptography and cryptanalysis
• Explore and analyse current trends in the continually expanding area of internet technologies including wireless internet and network configurations and enjoy opportunities to work with innovative distributed environments and architectures
• Develop practical and business skills necessary for a wide range of careers in IT from management to high-level web application development or system administration
• Gain in-depth skills in network management and administration (allowing you to work as a Network Manager) including essential security aspects, grid-computing and fault tolerance
• Benefit from developing expertise equipping you for a career as an IT Consultant, Programmer, Systems/Business Analyst, in web development/web services or in further study on an MSc by Research, MPhil or PhD.

Modules

• Research Methodologies and Project Management
• Network Systems and Administration
• Intelligent Systems and Data Mining
• Distributed and Parallel Computing Technologies
• MSc Project – Computer Science

Assessment

You will be assesses using a combination of written reports, exams, practical (coursework) assignments and computer-based assessment. Coursework assignments typically incorporate formative feedback so that you can gain an insight into whether your work is meeting the necessary targets.

Careers

You will gain valuable skills for a career within Computer Science as well as those relevant for the wider world of IT and business.

The unit ‘Professional Project Management’ requires you to work in a team to apply current project management methodology that embraces all of these knowledge areas in an integrated way while going through the stages of planning, execution and project control. You will work as part of a team, take responsibility and make autonomous decisions that impact on the project team performance.

Funding

For information on available funding, please follow the link: https://www.beds.ac.uk/howtoapply/money/scholarships/pg

How to apply

For information on how to apply, please follow the link: https://www.beds.ac.uk/howtoapply/course/applicationform

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