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MSc Computer Science*

*Closed for 2021 entry

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Institution C58


Bognor Regis campus

One year full-time, two years part-time

Entry Requirements and Fees

Please note this course is closed for 2021 entry.

Typical Offer (individual offers may vary):

  • An honours degree at 2:2 or higher
  • If English is not your first language then English language proficiency required is IELTS 6.5 (with no element less than 5.5) – or equivalent qualification.

International applicants

If you are an international student and you don’t meet the entry requirements to this degree, we are offering international pathways run by the University of Chichester International College.


2021/22 UK fee: £8,800

2021/22 International fee: £14,900

For further details about fees, please see our Tuition Fee page.

For further details about international scholarships, please see our Scholarships page.

Course start date: 13th September 2021

Course content


 (The Guardian University Guide 2021)

Course Overview

This MSc focuses around interactive workshops, mostly taking place within computer labs and supported by rich online support material. The programme provides a solid foundation in theoretical understanding while focusing on the vocational aspects of your experience, making the content relevant to today’s business needs.

The programme will help you to further develop your knowledge and skills within the cutting-edge areas of Computer Science. You will have the opportunity to obtain specialist knowledge in the design, analysis, implementation, and developing computational solutions to real-world problems.

We will specifically introduce you to the new and developing fields of AI, Natural Computing, Computational Science, Data Science, Data Intensive Computing, Modern Database Systems (Big Data), Machine and Deep Learning. Our approach to teaching is practical and we place an emphasis upon coursework related activities supported by a variety of innovative assessments to reinforce learning.

On completion of the course you will be equipped with the key skills and knowledge needed to work in computing and information systems utilising both your first degree and Master’s degree skills.

Start date: September 2021

Find out more

Are you interested in this course and want to find more? Come along to an Open Day. This will give you the chance to meet our Business School team, ask them questions and explore the campus. 

Alternatively, we are open all year round for campus tours, so why not book on and come and visit Chichester. 


Our facilities

Tech Park

 Computing facilities

Teaching takes place at the Bognor Regis campus. This includes being taught in our state-of-the-art Tech Park.

The University of Chichester’s cutting-edge Tech Park aims to produce graduates that have enterprise skills, creativity, technical knowledge and are equipped to enter the graduate workforce.

Our Engineering, Design and Creative & Digital Technologies departments are also based in this building and have access to brand new equipment, machines and studios.

Learning Resource Centre 

   LRC Bognor Campus

Our Learning Resource Centre at Bognor Regis is based at the heart of the campus. It hosts:

  • Support and Information Zone (SIZ) to help with any enquiries while at university
  • A modern library service with areas for quiet and silent study on both floors 
  • A range of study areas for group study
  • Over 80 open access PC and Mac stations
  • Wi-Fi areas for laptop use
  • Substantial collection of books, journals and other materials to help you further your research
  • Online library resources you can access from anywhere at any time
  • Equipment loans centre offerings laptops, tablets and other electronic devices for short and long-term loans
  • Costa Coffee

The local area

The local area surrounding the University of Chichester's main Campus including Chichester Cathedral, Chichester Town Centre, The South Downs and West Wittering Beach

It’s important to love where you live and study and the local area surrounding the University has so much to offer. With the seaside town, historic city, rolling countryside and stunning beaches, there’s plenty to explore

Visit us

Book an Open Day or Campus Tour to discover the campus and the facilities it has to offer. 

Indicative modules

Object Oriented Design and Programming: Object orientated programming (OOP) is a dominant methodology for large application programming. This module introduces the paradigm of OOP covering modelling and programming concepts with an exploration of Object Orientated Design using Java as a high-level OOP language.

Modern Database Systems: The storage, analysis and systematic extraction of information from Big Data pose challenges that are too complex to be addressed by traditional databases. The module initially covers topics in traditional database systems including Data Model and Relational Database Systems then it introduces modern view of data processing for storage and retrieval of data from unstructured datasets (NoSQL).

Mathematics and Statistics: Mathematical and statistical reasoning underpins many aspects of computer science and this module aims to provide the skills needed for other modules on the degree programme. Topics will include Linear Algebra, Probability and Statistics.

Professional and Research Practice: The module aims to explore and develop an understanding of the wider professional, legal , social, environmental, moral and ethical issues involved in the sustainable exploitation of computer technology. It will ensure you have a broad understanding of business and enterprise and have appropriate skills to apply for and operate effectively in their first professional positions. It also covers principles and methods of scientific investigation, critical thinking and critical analysis of relevant literature.

Algorithms and Data Structures: The module will explore fundamental data structures and associated algorithms, and their representation in high-level programming languages. It also looks at how to create effective algorithms, quantify their efficiency and classify them independently of any computing system or language.

AI and Natural Computing: This multidisciplinary module covers topics in Artificial Intelligence and Natural Computing. In particular, it explores theory of natural computation, evolutionary computing, computational aspects of biological and adaptive systems. The module also covers the applications of these techniques to various problems such as optimisation, search, scheduling, timetabling and data mining.

Software Engineering: This module will develop an understanding of the operational facets of systems development, exploring all aspects of different Systems Development Lifecycles including contemporary Agile development methods. It will specifically explore a range of systems analysis and design tools and techniques.

Advanced Topics in Computer Science: Explores a range of topics that are increasingly predominant and emerging in computing, for example, Computational Science, Data Intensive Computing and Deep Learning. They will be explored through guided reading and research with group project component.

Final MSc Project: Brings together theoretical understanding and the practical skills acquired from the programme. The project involves producing an artefact from conceptualisation through to successful evaluation and the production of a report to demonstrate the output of the research.

International English Studies

Include International English Studies: 

Additional Costs

Include Additional Costs: 

Contact Us

If you have any questions about this course, please contact us, we will be happy to help.