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.
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
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- 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
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- 12 months
- 24 months
Start dates & application deadlines
- Deadline passed
DisciplinesInformatics & Information Sciences Computer Sciences Data Science & Big Data View 592 other Masters in Computer Sciences in United Kingdom
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- 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.
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For funding and scholarships, please visit our website for more details.
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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Apply and win up to €10000 to cover your tuition fees.