Course Overview

The MSc in Data Science gives you a solid grounding in data science concepts and technologies for extracting information and constructing knowledge from data.

This course focuses on three core technical themes of data mining, machine learning, and visualisation.

You study computational principles, methods, and systems for a variety of real-world applications that require mathematical foundations, programming skills, critical thinking, and ingenuity.

Our brand new £32.5m Computational Foundry lies at the heart of this course. Sophisticated teaching and research equipment include a Vision and Biometric Lab, a Maker Lab, a TechHealth Lab, a Theory Lab, a Cyber Security/Networking Lab, a User Lab and a Visualisation Suite.

With large data sets now available across almost all industry sectors, there is an increasingly high demand for innovative new technologies and skilled data scientists.

Why Data Science at Swansea?

Computer Science at Swansea University is widely acknowledged as a leading UK department, with a raft of impressive rankings reflecting teaching and research excellence. The College is ranked:

  • 8th in the UK overall [Times/Sunday Times Good University Guide 2019]
  • In the UK Top 20 for Research Excellence [Research Excellence Framework 2014]
  • 14th in the UK for research [Times and Sunday Times University Guide 2019]
  • UK University of the Year Runner-up and Welsh University of the Year [Times and Sunday Times University Guide 2019]

Computer Science and Engineering at Swansea is world-ranked 401-500 in the 2017 Global Ranking of Academic Subjects (GRAS).

You will be taught by inspiring computer science experts such as Professor Matt Jones, widely recognised as a leader in the empowerment of rural digital communities in the UK and across the developing world.

Your Data Science Experience

You first take a series of 15-credit modules, a number of which will be compulsory and others you will choose. The next stage of the MSc is shaped by a 60-credit project module.

Developing research skills is an essential element of the course, enabling you to bring a critical perspective to current data science discipline, and apply it to future developments.

You learn how to mine structured data and unstructured data, gaining practical data mining experience alongside a systematic understanding of complex and heterogeneous data.

Conventional and state-of-the-art machine learning techniques will be taught through the application of methods and techniques to synthesise solutions.

By the end of the course, you will be confident in applying concepts in data visualisation, information visualisation, and visual analytics to support data process and knowledge discovery.

Over the course of this degree, you will be taught by staff from internationally renowned research groups. Their knowledge of constant developments in computer science helps to keep your learning fresh and relevant to the wider industry.

Our commitment to keeping up with the technological curve is also reflected in the hardware you will be working with every day.

Laboratories at Swansea are continually upgraded to ensure equipment is never more than three years old, and rarely more than two. Currently, in use are three fully networked laboratories. One runs Windows, another runs Linux, and a third project laboratory contains specialised equipment.

The new Computational Foundry on our Bay Campus is the nucleus of a vibrant community for world-class research leaders in computer science.

Data Science Employment Opportunities

Completing this MSc considerably enhances your data science career prospects. Our graduates often progress to rewarding employment within esteemed organisations. Below are a number of their recent destinations.

  • Workflow developer, Irwin Mitchell
  • Programmer, Evil Twin Artworks
  • Web developer & web support, VSI Thinking
  • Software developer, Wireless Innovations
  • Associate business application analyst, CDC Software
  • Software developer, OpenBet Technologies
  • Software developer, BMJ Group

Entry Requirements

Minimum 2:2 (or equivalent) in Computer Science or a related discipline.

IELTS 6.0 (with a minimum of 5.5 in each component) or equivalent English test.

Careers and Employability

Careers and Employability Swansea Employability Academy (SEA) will support you at each stage of your career journey helping you build a bright future.

Our career support services include:

  • Employability workshops, employers’ talks, bespoke events and careers fairs.
  • Individual advice and guidance from professionally qualified Careers Advisers.
  • Help with finding jobs, internships, work placements and volunteering opportunities.
  • Access to information resources on a wide range of career management topics.
  • Funding to support student internship opportunities and Student Society/Club events.

We also provide help and advice for Swansea University Alumni up to two years after you graduate.

Completing this MSc considerably enhances your data science career prospects. Our graduates often progress to rewarding employment within esteemed organisations. Below are a number of their recent destinations.

  • Workflow developer, Irwin Mitchell
  • Programmer, Evil Twin Artworks
  • Web developer & web support, VSI Thinking
  • Software developer, Wireless Innovations
  • Associate business application analyst, CDC Software
  • Software developer, OpenBet Technologies
  • Software developer, BMJ Group
Program taught in:
  • English

See 39 more programs offered by Swansea University »

Last updated September 22, 2019
This course is Campus based
Start Date
Sep 2020
Duration
1 - 3 years
Part-time
Full-time
Price
17,250 GBP
UK/EU: 8450 GBP. International: 17,250 GBP. (Full Time)
Deadline
July 31, 2020
We recommend that you submit your application as early as possible, and preferably before 31 July for taught Master’s programmes, in the year you wish to start your studies
By locations
By date
Start Date
Sep 2020
End Date
July 2021
Application deadline
July 31, 2020
We recommend that you submit your application as early as possible, and preferably before 31 July for taught Master’s programmes, in the year you wish to start your studies

Sep 2020

Location
Application deadline
July 31, 2020
We recommend that you submit your application as early as possible, and preferably before 31 July for taught Master’s programmes, in the year you wish to start your studies
End Date
July 2021