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Department of Mathematical Sciences Programme Catalogue 2023/4


TSMA-AWM19: MSc Mathematics with Data Science for Industry

Route: MSc Mathematics with Data Science for Industry


Leading to the award of MASTER OF SCIENCE IN MATHEMATICS WITH DATA SCIENCE FOR INDUSTRY


Mode of Attendance: Full-time incorporating placement

[Page last updated: 27 October 2023]


Key Information
Applicable assessment regulations:
 NFAAR-PGT - https://www.bath.ac.uk/publications/nfaar-pgt-and-appendices/
Applicable NFAAR appendices:
 Appendix 11
Approved exemptions:
 None
DACS and exit awards:
 TSMA-AFL19: PG Dip Mathematics with Data Science for Industry
TSMA-AFC19: PG Cert Mathematics with Data Science for Industry
Programme progression requirement:
 50%
Total taught and dissertation/project credits:
 Taught credits: 120; Project credits: 30

Please consult your course handbook or contact your Director of Studies for further information on assessment regulations


Jump to:

Year 1

Semester 1: Taught Units

Compulsory Units:
Unit Code
Title
ECTS Credits
MA50281 Mathematical modelling for industry 12 Credits
MA50282 Industrial mathematics: context and practice 6 Credits
MA50290 Applied machine learning 6 Credits
Optional Units: Select 1 unit from the following list:
Unit Code
Title
ECTS Credits
XX50215 Statistics for data science 6 Credits
MA40092 Classical statistical inference 6 Credits

Semester 2: Taught Units

Compulsory Units:
Unit Code
Title
ECTS Credits
MA50260 Statistical modelling 6 Credits
MA50283 Collaborative industrial research 6 Credits
MA50284 Industrial applications of mathematics 6 Credits
Optional Units: Select 2 units from the following list:
Unit Code
Title
ECTS Credits
MA40049 Elasticity 6 Credits
MA40050 Numerical optimisation and large-scale systems 6 Credits
MA40177 Scientific computing 6 Credits
MA40189 Topics in Bayesian statistics 6 Credits
MA40255 Viscous fluid dynamics 6 Credits
MA50250 Inverse problems, data assimilation and filtering 6 Credits
MA50251 Applied stochastic differential equations 6 Credits
MA50263 Mathematics of machine learning 6 Credits

Dissertation Period: Project/Dissertation Units

Compulsory Units:
Unit Code
Title
ECTS Credits
MA50286 Project 30 Credits

Notes:

  • Courses and units may be changed in accordance with normal University procedures.
  • This course catalogue is applicable for all years of study for the 2023/24 academic year only. Students continuing their studies into 2024/25 and beyond should not assume that this programme, or its component units, will be delivered in future years in the format displayed here.
  • Assessment regulations are subject to review and update. Links given here will provide access to the latest versions of documentation. The regulations described in this documentation may not necessarily be those which applied in previous academic years. For detailed information on how assessment regulations were applied to this course in previous academic years, please contact the relevant Director of Studies.
  • Availability of units is subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.


Year 2

Academic Year: Taught Units

Compulsory Units:
Unit Code
Title
ECTS Credits
MA50285 Industrial placement 60 Credits

Notes:

  • Courses and units may be changed in accordance with normal University procedures.
  • This course catalogue is applicable for all years of study for the 2023/24 academic year only. Students continuing their studies into 2024/25 and beyond should not assume that this programme, or its component units, will be delivered in future years in the format displayed here.
  • Assessment regulations are subject to review and update. Links given here will provide access to the latest versions of documentation. The regulations described in this documentation may not necessarily be those which applied in previous academic years. For detailed information on how assessment regulations were applied to this course in previous academic years, please contact the relevant Director of Studies.
  • Availability of units is subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.