University of Southampton
This programme prepares you to become a proficient data scientist, developing your specialist knowledge in subjects that are crucial for mastering the vast and ever-more complex information landscape that is characteristic of modern, digitally empowered organisations. You will gain advanced knowledge in areas such as data mining, machine learning, and data visualisation, including state of the art techniques, programming toolkit, and industrial and societal application scenarios.
MSc: A UK bachelor's degree with upper second-class honours or higher. (See website for specific details and international equivalent qualifications.) English language: IELTS 6.5 overall, with a minimum of 6.0 in all components.
Compulsory modules include: Data Visualisation; Foundations of Data Science; Machine Learning; MSc Research Project and Dissertation; Project Preparation Optional modules include: Advanced Machine Learning; Advanced Topics in Human-Systems Interaction; Applied Statistical Modelling; Computational Finance; Data Mining; Deep Learning; Foundations of Artificial Intelligence; Reinforcement and Online Learning; Semantic Web Technologies
Coursework, examinations, written project (design, development or research) and dissertation
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Full-time||September 2019||9,250 per Year 1 (Scotland)||1 Years|
|MSc||Full-time||September 2019||9,250 per Year 1 (EU)||1 Years|
|MSc||Full-time||September 2019||9,250 per Year 1 (Channel Islands)||1 Years|
|MSc||Full-time||September 2019||23,736 per Year 1 (International)||1 Years|
|MSc||Full-time||September 2019||9,250 per Year 1 (Northern Ireland)||1 Years|
|MSc||Full-time||September 2019||9,250 per Year 1 (England)||1 Years|
|MSc||Full-time||September 2019||9,250 per Year 1 (Wales)||1 Years|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|Main Site - Highfield Campus||SO17 1BJ||South East|
Get in touch
Remember to mention TARGETpostgrad when contacting universities.
Postgraduate Taught Admissions - Faculty of Physical Sciences and Engineering