Course summary
This interdisciplinary masters is taught by both the School of Computer Science and the School of Mathematical Sciences. You will become skilled and experienced in analysing large and complex data sets. This skillset and expertise is in-demand across a range of industries. You will also develop your professional and problem-solving skills to prepare you for a successful career in research or industry. You will complete your own research project in an area of data science that you choose. This is a great opportunity to align your research with your interests or career ambitions. You will have the opportunity to do your research project in collaboration with an industry partner or one of our own world-leading research groups. To help support our students, we offer an Excellence in Computer Science scholarship. There are three levels to the award which range from 10-50% off your tuition fees.
Modules
This course offers multiple pathways, depending on your background. If you have a background in computer science or mathematical sciences, this course provides a selection of advanced modules to further develop your expertise. If you have a background in other subjects, you will study core modules that teach you the fundamental knowledge of mathematics and computer science. All students will complete a research project. You will largely work and study in lecture theatres, seminar rooms, and laboratories.
Entry requirements
2:1 (or international equivalent) with evidence of an interest or aptitude in mathematics and computing. Graduates from other fields, with strong mathematics and/or computation background will be considered with 60% average mark.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
University of Nottingham
University Park
Nottingham
NG7 2RD