Taught course

Data Analytics

University of Portsmouth · Faculty of Technology

Entry requirements

A second-class honours degree in a relevant subject, including Computer Sciences, Legal or Social Sciences, or equivalent professional experience and/or qualifications.

Months of entry


Course content

Why take this course?

This programme enables you to master the latest technology and techniques associated with extracting valuable information from large data sets that may have a variety of mixed attributes.

You will reinforce your background with specialist knowledge on these new techniques and technologies and you will apply this to data sets from our internationally recognised research in cosmology, health informatics and cybersecurity.

What will I experience?

On this course you can:

  • Apply your skills to real-life practical problems with real-world data sets
  • Enhance your existing knowledge by developing solutions that use our supercomputers and networked computer clusters
  • Manage and understand the business value that can be extracted from data sets

What opportunities might it lead to?

This course is designed to enhance and develop your skills in data science and analytics to enable you to extract value from data sets that can be applied to business or society.

Here are some routes our graduates have pursued:

  • Senior Data Scientist
  • Data Architect
  • Data Officer
  • Information Strategist

Module details

Alongside the key compulsory topics, you will also undertake a project. This will involve in-depth research where you will apply the skills and knowledge from the taught part of the course to a practical problem within the domain of one of our research areas (cosmology, healthcare, cybersecurity or networking). Alternatively, the problem may be supplied by local businesses or other external clients.

Core units include:

  • Advanced Data Management
  • Applied Data Analytics and Engineering
  • Business Intelligence
  • Big Data Applications

We use the best and most current research and professional practice, alongside feedback from our students, to make sure course content is relevant to your future career or further studies.

Therefore, some course content may change over time to reflect changes in the discipline or industry and some optional units may not run every year. If a unit doesn’t run, we’ll let you know as soon as possible and help you choose an alternative unit.

Student destinations

On completing this course, you will be ready to enter a wide variety of careers in the data analytics and deep learning industries or to support the progress in your career.

You can also use the course as a route to an academic career by undertaking research study leading to a PhD, with the aim of eventually becoming a university lecturer or researcher.

Information for international students

English language proficiency at a minimum of IELTS band 6.0 with no component score below 5.5.

Fees and funding

UK students
Full time: £6,500 Part time: £3,250 p/a* *Tuition fee is subject to annual increase.
International students
Full time: £15,100 Part time: £7,550 p/a* *Tuition fee is subject to annual increase.

Please see the funding page for more details.

Qualification and course duration


full time
12 months

Course contact details