• About this course
  • Modules
  • Entry requirements
  • Fees and finance
  • How to apply
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  • About this course
  • Modules
  • Entry requirements
  • Fees and finance
  • How to apply

Course Overview

Level of study:Postgraduate degree
Tuition FeesFees and Finances
Entry requirements:

A 2:2 honours degree, or equivalent, in the subject areas of computing, engineering, mathematics or related discipline

English language requirements:

IELTS 6.0 with no component less than 5.5, or equivalent

Other English language tests are accepted, click here to find out more.

Mode of study:Full-time
Duration:1 year
Assessment method:Coursework
Student finance:Available
Locations: London
Start dates: January, September, May (24)
Application deadline:

Next application deadline

This programme is subject to approval

About this course

The UK economy is facing a well-documented digital skills gap, costing an estimated £63 billion a year in potential GDP, prompting the Government to launch various initiatives to address this issue, including the designated Institute of Coding and the announcement of a Digital Skills Strategy to make the UK a global tech superpower. Recent estimates predict that by 2025 there will be 3 million new tech vacancies in the UK and 149 million world-wide.

The MSc in Computer Science and Technology will provide you with the knowledge and practical experience of the advanced concepts, algorithms, theories and techniques underlying advanced computing systems for a successful career in this booming industry.

The course covers leading-edge subjects of programming such as:

  • Big Data
  • Deep learning
  • Data mining
  • Machine learning
  • Statistical modelling — the most up-to-date topics in the areas of Computer Science, Artificial Intelligence and Data Science.
  • Scalable Software Solutions leveraging Cloud Infrastructure

This programme is also available as MSc in Computer Science and Technology with Advanced Practice , which includes either an internship or project.

Teaching methods

  • You will be taught using a wide variety of teaching methods across the modules including lectures, seminars and tutorials. Typically, you will have 12-17.5 hours of contact time per week.
  • In addition to your time in class, you will also be expected to engage in approximately 35 hours of self-study time per week.
  • You will have access to Blackboard, our online learning environment, where you can access module resources and reading lists that will assist your preparation for classes and self-study.
  • You’ll be taught by experienced lecturers and academics who use their industry and research experience to demonstrate how to apply best practice in software engineering to the development of a wide range of information systems in organisations.


Each module is assessed by coursework only.

Careers and postgraduate opportunities

Student and employer needs are reflected in the development of this programme and evidenced in the career destinations and further development of our graduates.

Graduates will be prepared for a range of careers across a variety of sectors, with some of the roles including:

  • Software Engineers
  • Software Developers
  • IT Engineers
  • IT Project ad Programme Managers
  • Machine Learning Engineers
  • Artificial Intelligence Practitioners
  • Data Scientists
  • Deep Learning Engineers
  • Researcher/Academic
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