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Programme & Unit Catalogues

Department of Mathematical Sciences, Programme Catalogue 2021/2


TSMA-AWM19: 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
Year 1

NFAAR-PGT assessment regulations:
  • This programme has the following designated alternative programmes (DAPs):
    • TSMA-AFL19: PG Dip Mathematics with Data Science for Industry
    • TSMA-AFC19: PG Cert Mathematics with Data Science for Industry
  • Assessment Regulations: Appendix 11 [pdf].
  • Programme progression requirement: 40%
  • Taught credits: 120; Dissertation/Project credits: 30


Semester 1: Taught Units
Compulsory Units:
Unit Code
Title
ECTS Credits
CM50264 Machine learning 1 6 credits       [equivalent to 12 CATS credits]
MA50281 Mathematical modelling for industry 12 credits       [equivalent to 24 CATS credits]
MA50282 Principles of industrial collaboration and problem solving 6 credits       [equivalent to 12 CATS credits]

Optional Units: Select 1 unit from the following list:
Unit Code
Title
ECTS Credits
XX50215 Statistics for data science 6 credits       [equivalent to 12 CATS credits]
MA40092 Classical statistical inference 6 credits       [equivalent to 12 CATS credits]


Semester 2: Taught Units
Compulsory Units:
Unit Code
Title
ECTS Credits
MA50260 Statistical modelling 6 credits       [equivalent to 12 CATS credits]
MA50283 Collaborative industrial research 6 credits       [equivalent to 12 CATS credits]
MA50284 Industrial applications of mathematics 6 credits       [equivalent to 12 CATS credits]

Optional Units: Select 2 units from the following list:
Unit Code
Title
ECTS Credits
MA40049 Elasticity 6 credits       [equivalent to 12 CATS credits]
MA40050 Numerical optimisation and large-scale systems 6 credits       [equivalent to 12 CATS credits]
MA40177 Scientific computing 6 credits       [equivalent to 12 CATS credits]
MA40189 Topics in Bayesian statistics 6 credits       [equivalent to 12 CATS credits]
MA40255 Viscous fluid dynamics 6 credits       [equivalent to 12 CATS credits]
MA50250 Inverse problems, data assimilation and filtering 6 credits       [equivalent to 12 CATS credits]
MA50251 Applied stochastic differential equations 6 credits       [equivalent to 12 CATS credits]
MA50263 Mathematics of machine learning 6 credits       [equivalent to 12 CATS credits]


Dissertation Period: Project/Dissertation Units
Compulsory Units:
Unit Code
Title
ECTS Credits
MA50286 Project 30 credits       [equivalent to 60 CATS credits]

Year 2

NFAAR-PGT assessment regulations:
  • This programme has the following designated alternative programmes (DAPs):
    • TSMA-AFL19: PG Dip Mathematics with Data Science for Industry
    • TSMA-AFC19: PG Cert Mathematics with Data Science for Industry
  • Assessment Regulations: Appendix 11 [pdf].
  • Programme progression requirement: 40%
  • Taught credits: 120; Dissertation/Project credits: 30


Academic Year: Taught Units
Compulsory Units:
Unit Code
Title
ECTS Credits
MA50285 Industrial placement 60 credits       [equivalent to 120 CATS credits]


Dissertation Period: Project/Dissertation Units
Compulsory Units:
Unit Code
Title
ECTS Credits
MA50286 Project 30 credits       [equivalent to 60 CATS credits]


Notes:

  • Programmes and units may be changed in accordance with normal University procedures.
  • This programme catalogue is applicable for all years of study for the 2021/22 academic year only. Students continuing their studies into 2022/23 and beyond should not assume that this programme, or its component units, will be delivered in future years in the format displayed here.
  • NFAAR assessment regulations are subject to review and update. Links given here will provide access to the latest versions of NFAAR documentation. The regulations described in this documentation may not necessarily be those which applied in previous academic years. For detailed information on how the NFAAR was applied to this programme 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.