Course Overview
Level of study: | Postgraduate degree |
Tuition Fees | Fees 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: | 21 months |
Assessment method: | Coursework |
Student finance: | Available |
London Birmingham Manchester |
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Start dates: | January, May, September |
Application deadline: |
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
Advanced Practice
The compulsory Advanced Practice element of this programme takes place after you have studied the taught modules at the Masters’ stage.
- undertake a 15-week long internship in computing, or applied consulting project, working with a real organisation on a live business problem
- gain experience of the workplace environment and enhance your practical and employ ability skills while working on “real-life” case study
- gain enhanced knowledge of the workplace which will facilitate the completion of your Masters Project.
Please note if you undertake an internship this may be paid or unpaid.
Course Duration
On successful completion of each stage of this programme of study, the duration will be 21 months, according to the following specific intake schedule:
Sept-Jan |
Jan-May |
May-Sept |
Sept-Jan |
Jan-May |
May-Sept |
Sept-Jan |
|
Sept Start |
Year 1 – Semester 1 Masters stage |
Year 1 – Semester 2 Masters stage |
Year 2- Summer Break |
Year 2 – Semester 3 Advanced Practice stage |
Year 2 – Semester 4 Masters stage |
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Jan Start |
|
Year 1 – Semester 1 Masters stage |
Year 1 – Semester 2 Masters stage |
Year 2- Autumn Break |
Year 2 – Semester 3 Advanced Practice stage |
Year 2 – Semester 4 Masters stage |
|
May Start |
|
|
Year 1 – Semester 1 Masters stage |
Year 1 – Semester 2 Masters stage |
Year 2- Spring Break |
Year 2 – Semester 3 Advanced Practice stage |
Year 2 – Semester 4 Masters stage |
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.
Assessment
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