Taught course

Data Science

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

Entry requirements

First- or upper second-class degree or an equivalent standard in other qualifications approved by the University in computer science or an appropriate numerical discipline (e.g. mathematics, engineering, management sciences). English language: IELTS 6.5, with minimum of 6.0 in each component.

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-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.

Semester one: Machine Learning; Foundations of Data Science; Data Visualisation; Cloud Application Development; Foundations of Artificial Intelligence; Evolution of Complexity; Intelligent Agents; Foundations of Web Science.

Semester two: Data Mining; Advanced Databases; Advanced Intelligent Agents; Advanced Machine Learning; Computational Finance; Open Data Innovation; Semantic Web Technologies; Simulation Modelling for Computer Science; The Science of Online Social Networks; Computational Biology; Applied Statistical Modelling; Advanced Computational Modelling II.

Plus three-month independent research project culminating in a dissertation.

For further information, please visit our website.

Information for international students

www.southampton.ac.uk/international/

Fees and funding

www.southampton.ac.uk/postgraduate/feesandfunding/pgfundbyschool.html

www.southampton.ac.uk/postgraduate/feesandfunding/

Qualification and course duration

MSc

full time
12 months

Course contact details

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