Taught course

Data Science

Institution
University of Southampton · School of Electronics and Computer Science
Qualifications
MSc

Entry requirements

UK bachelors degree with upper second-class honours or higher in electronic/electrical engineering, computer science, or a closely related subject.(See website for specific details and international equivalent qualifications.)
English language: IELTS 6.5 overall, with a minimum of 6.0 in all components.

Months of entry

September

Course content

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.

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; Algorithmic Game Theory; Applied Statistical Modelling; Computational Finance; Data Mining; Deep Learning; Reinforcement and Online Learning; Semantic Web Technologies

Information for international students

https://www.southampton.ac.uk/uni-life/international.page

Fees and funding

https://www.southampton.ac.uk/uni-life/fees-funding/pg-fees-funding.page

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
Physical Sciences and Engineering
Email
fpse-mscapply@southampton.ac.uk
Phone
+44 (0)23 8059 2630