MSc

Computer Science

Learn how to design and implement IT solutions for clients worldwide. Boost your computer science career at ARU in Cambridge.

Start date
September 2026 January 2027
Location
Cambridge
Award
MSc
Duration
1 year full-time

Course durations vary slightly: 12 months (September starts), or 20 months (January starts). The Professional Experience option takes 2 years.

Start date
September 2026 January 2027
Location
Cambridge
Award
MSc
Duration
2 years with professional experience

Course durations vary slightly: 12 months (September starts), or 20 months (January starts). The Professional Experience option takes 2 years.

20%

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This course covers all aspects of technologies and user environments. You’ll learn how to develop web applications and artificial intelligence models in accordance with complex user requirements, and ensure systems are secure. You’ll also practise diagnosing problems and responding to operational challenges.

Before starting the course, we strongly recommend that you have working knowledge of database and programming, in languages such as Java, C# or Python.

Why ARU?
  • Study in Cambridge’s Silicon Fen, a global tech home to Apple, Microsoft, Samsung AI and many more

  • Cover topics related to end-to-end web solutions development and AI

  • Enjoy a mix of theoretical and practical learning using advanced computing labs

  • Gain professional experience through industry placements or campus-based projects

  • Meet demand for experts in web development, data management and analysis, and AI

Logo: THE Awards 2023
 

Study at an award-winning university

We were named Times Higher Education University of the Year 2023. We've also been awarded a Gold rating in the Teaching Excellence Framework – a reflection of the outstanding education we offer our students.

Careers

Prepare for a range of IT roles and careers.

When you graduate, you’ll have experience covering the full life cycle of a web application, and be able to apply this knowledge to the development of any type of software application. You’ll also have AI skills applicable to any domain.

Graduation doesn’t have to be the end of your time with us. You could choose to continue your academic career with a research programme at ARU, such as our PhD in Computer Science or a Professional Doctorate in Science and Technology. Take advantage of our Alumni Scholarship and save £400 on your fees.

Teaching and modules

Discover how to build complex web solutions and AI-based applications.

On this course, you’ll explore data mining and machine learning tools and algorithms, web application development, and app security. You’ll start to apply machine learning techniques to different types of data in order to extract valuable intelligence.

You’ll gain an understanding of semantic data technologies, and learn how to structure semantic data, develop ontological models, and put them to use.

You’ll complete your Master’s with a Postgraduate Major Project – a substantial research project focussed on a relevant topic that interests you.

Modules are subject to change and availability, and may vary by location. If you have the choice of optional modules, these are indicated with a *.

Year 1
  • Machine Learning in Finance (15 credits)
  • Semantic Data Technologies (30 credits)
  • Machine Learning for Imaging (15 credits)
  • Research Methods (15 credits)
  • Advanced Web Solutions (30 credits)
  • Cyber Security and AI Case Studies (15 credits)
  • Postgraduate Major Project (60 credits)
  • Into ARU
Module details

You can choose to study with us over two years (full-time), and take Professional Experience modules in Year 2, with a Preparation for Professional Experience module in Year 1. You'll complete your Postgraduate Major Project in Year 2.

Professional experience modules
  • Postgraduate Major Project (60 credits)
  • Professional Experience Computing Project 1 (60 credits) *
  • Professional Placement 1 (Computing and Information Science) (60 credits) *
  • Professional Experience Computing Project 2 (60 credits) *
  • Professional Placement 2 (Computing and Information Science) (60 credits) *
Module details

Read profiles of teaching and research staff on this course.

Facilities

Enjoy a range of facilities designed to support your studies and career development.

In our dedicated computer labs and skills spaces, you'll have access to specialist hardware and online resources (e.g. Cisco-accredited routing and switching equipment), a virtual Netlab offering 24/7 remote access to Cisco equipment, Microsoft Imagine Premium's professional developer and designer tools, VMWare IT Academy’s virtualisation software and tools, and mobile devices for testing and developing mobile applications.

You'll have extensive library and IT resources, and careers support through our Employability Service. After you graduate, you’ll have lifelong access to our Alumni Career Centre.

You can also access support, should you need it, with study skills, health and wellbeing, and more.

Take a guided tour and meet our students.

Entry requirements

Fees and funding

Apply now for Computer Science

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