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 £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 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.
DID YOU KNOW?
Computer Science at Swansea University is widely acknowledged as a leading UK department, with rankings reflecting teaching and research excellence.
- UK Top 5 for Course Satisfaction (The Guardian University Guide 2022)
- UK Top 15 for Graduate Prospects (The Guardian University Guide 2022)
- 100% world leading and internationally excellent ratings for research impact - Research Excellence Framework (REF) 2021
- 90% of our research is world leading and internationally excellent - Research Excellence Framework (REF) 2021
- Top 300 in the world (QS World University Rankings 2023 for Computer Science and Information Systems)
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
Modules
You will complete 120 credits from a compulsory set and an optional set of 15-credit modules. Subjects include visual analytics, big data, graphics processor programming and human computer interaction. You then undertake a 60-credit project module.
FHEQ 7 Taught Masters / PGDip / PGCert
Students choose 120 credits from the following:
Compulsory Modules
- Human-Centred Visual Analytics
- Big Data and Machine Learning
- Mathematical Skills for Data Scientists
- Computer Science Project Research Methods
- Big Data and Data Mining
* Scholarships available for international students.
My name is Kavisha Prince Anthony, and I always had a dream of studying abroad. Thankfully, that dream came to life since I applied to the Study Advisor. I was able to receive my visa within four days. I also had some visa refusals in the past; I had about six UK visa refusals in the past, but thankfully, it was not an issue since the Study Advisor was able to make things work this time. I highly recommend Study Advisor for your dreams of going abroad, whether it be the UK or any other European country there is.