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Data Science and Analytics (MSc, PGDip, PGCert)

This MSc programme lies within an area of growing technological change and provides advanced skills and knowledge.

Students are equipped with knowledge of the current state of the industry. There is also an emphasis on skills for lifelong learning so that students will be able to update their skills throughout their careers.


You can apply directly to the University using the Apply Now button at the top of the page. 

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Contact Name: Tim Bashford

Tuition Fees 2023/24:
Home: £7,800
Overseas: £15,000

Reasons to study this course

  1. Taught by staff with academic and industry qualifications.
  2. Hands on experience with all relevant hardware and software.
  3. Learn in-depth, a range of programming concepts, data visualisation and data mining techniques to develop sophisticated and complex information systems solutions.
  4. Highly trained staff constantly update the programme to reflect the exciting, dynamic and rapidly developing computing field in today’s business environment.
  5. Programme developed in conjunction with industry-leading companies.

What you will learn

Course Overview

This MSc provides significant technical content which will develop students' skills in the Data Science area.

In recent years, major organisations have made significant investments into data warehousing and data mining technologies which are now at the forefront of business intelligence.

The price of the technology has also reduced significantly since the inception of data warehousing, allowing smaller organisations to gain a competitive advantage by utilising the large pool of transactional data that in some cases has been stored for many years.

This is an area of huge job growth, with a need for a large number of people with the skills to apply and manage the technology.

You will learn to use databases and analytical tools to identify trends, patterns and correlations in data. You will also learn how to present and visualise your findings for specialist and non-specialist audiences.

Module Topics

Part 1:

  • Advanced Statistical Programming (20 credits)
  • Application of Machine Learning (20 credits
  • Database Systems (20 credits)
  • Data Mining and Visualisation (20 credits)
  • Data Security, Governance and Compliance (20 credits)
  • Research and Professional Development (20 credits)

Part 2:

  • Master’s Project (60 credits)

Students' work is assessed through a combination of coursework, portfolio, lab-based practical exams and written examinations.

The final mark for some modules may include one or more pieces of assessment set and completed during the module.

Project work is assessed by a written report and oral presentation. Part 2 requires the student to research and prepare an individual project of a substantial nature. 

University students who are unable to successfully complete all aspects of Part 1 may be eligible for a Postgraduate Diploma (120 credits) or Postgraduate Certificate (60 credits). 

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Key Information

Entry Criteria

Applicants require an Honours Degree (2.2 or above) or advanced qualification in Computer Science or cognate discipline from a UK University or recognised overseas institution or industrial experience in IT and an Honours Degree.

For International applicants, we ask that you hold an Academic IELTS test with a score of at least 6.0 (no element less than 5.5). For full information please visit our International page.

Career Opportunities

Students on this programme develop a broad range of technical skills and will study a number of topics related to information systems.

The programme covers the three themes of Data Management, User Experience and Web Technologies in the computing sector.

A significant emphasis is placed on data management and the implementation of applications for manipulating information including both database systems and web applications.

Additionally, graduates would be able to lead teams and manage projects.

It is expected that graduates would seek positions such as:

  • Project manager (within the Computing field)
  • Data analyst
  • Database administrator
  • Application developer
  • Web developer
Additional Costs

It is possible to complete this programme of study without any additional costs.

Students may wish to purchase materials for modules such as Major Project but this is not a requirement and will have no bearing on the final grade achieved. 

Bursary / Scholarship Information

You may be eligible for funding to help support your study. To find out about scholarships, bursaries and other funding opportunities that are available please visit our Scholarships and Bursaries section.


Please visit our Accommodation pages for more information

Further Information

Please get in touch with us if you have any questions related to the University or to this course in particular.