12 months
Duration
17250 GBP/year
8450 GBP/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

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

Visit the official programme website for more information
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Overview

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.

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.

Career opportunities

Completing this Data Science programme at Swansea University 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

Programme Structure

Courses include:

  • Computer Science Project Research Methods
  • Visual Analytics
  • Big Data and Data Mining
  • Big Data and Machine Learning
  • Mathematical Skills for Data Scientists
  • Abuses, Biases and Blessings of Data
  • Data Visualization
  • Human Computer Interaction

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines

Language

English
IELTS or TOEFL needed

Credits

180 alternative credits

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
Upper Second Class (required)
GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
GMAT admission requirements GMAT The Graduate Management Admission Test (GMAT) is a test intended to assess certain analytical, writing, quantitative, verbal, and reading skills in written English for use in admission to a graduate management program, such as an MBA. GMAT contains 4 sections - Analytical Writing Assessment, Integrated Reasoning, Quantitative and Verbal. The score has a range from 200 - 800.

English requirements

IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
6 (required)
TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at desiganated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.

Other requirements

General requirements

  • Minimum 2:1  (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.

Tuition Fee

  • International

    17250 GBP/year
    Tuition Fee
    Based on the original amount of 17250 GBP per year and a duration of 12 months.
  • EU/EEA

    8450 GBP/year
    Tuition Fee
    Based on the original amount of 8450 GBP per year and a duration of 12 months.

Part-time: 

  • EU/EEA - £4,250
  • NON-EU/EEA - £ 8,650

Funding

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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