Department of Mathematical Sciences Programme Catalogue 2023/4
USMA-AFB20: BSc(Hons) Mathematics, Statistics, and Data Science
Route: BSc(Hons) Mathematics, Statistics, and Data Science
Leading to the award of BACHELOR OF SCIENCE IN MATHEMATICS, STATISTICS, AND DATA SCIENCE
Mode of Attendance: Full-time
Normal course duration: 3 Years
[Page last updated: 27 October 2023]
This course is for students who will be in Year 2 or later in 2023/24
Applicable assessment regulations: | Undergraduate assessment regulations - https://www.bath.ac.uk/publications/undergraduate-assessment-regulations/ |
Approved exemptions: | None |
Coexistent Masters course?: | No |
DACS and exit awards: | USMA-AFL20: Diploma of Higher Education [exit award] USMA-AFC20: Certificate of Higher Education [exit award] Transfer to DAP possible from study years as follows: Year 1: No; Year 2: No; Year 3: No; ; |
Weighting towards final award by stage: | Stage 1: 0% Stage 2: 32% Final Stage: 68% |
Please consult your course handbook or contact your Director of Studies for further information on assessment regulations
This course is being replaced by a new version so Year 1 of this version is not available in 2023/24. |
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.
|
- Students must select optional units totalling 18 credits from the options available in Year 2 of this programme
|
Academic Year: Stage 2
Optional Units: Select a minimum of 0 and a maximum of 1 units from the following list:
Unit Code | Title | |
ES20069 | Introduction to econometrics | 12 Credits |
Semester 1: Stage 2
Compulsory Units:
Unit Code | Title | |
MA20220 | Ordinary differential equations and control | 6 Credits |
MA20222 | Numerical analysis | 6 Credits |
MA20226 | Statistics 2A | 6 Credits |
MA20277 | Introduction to data science | 6 Credits |
Optional Units: Select a minimum of 0 and a maximum of 1 units from the following list:
Unit Code | Title | |
MA20216 | Algebra 2A | 6 Credits |
MA20224 | Probability 2A | 6 Credits |
Semester 2: Stage 2
Compulsory Units:
Unit Code | Title | |
MA20221 | Modelling and dynamical systems | 6 Credits |
MA20227 | Statistics 2B | 6 Credits |
MA20278 | Machine learning 1 | 6 Credits |
Optional Units: Select a minimum of 1 and a maximum of 2 units from the following list:
Unit Code | Title | |
CM20256 | Functional programming | 6 Credits |
MA20217 | Algebra 2B | 6 Credits |
MA20223 | Vector calculus and partial differential equations | 6 Credits |
MA20225 | Probability 2B | 6 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.
|
- Students must take units totalling 60 credits for the year, normally 30 credits each semester.
- Students may not choose more than 12 credits of level 2 units during this programme year.
- Students may not choose more than four level 4 units without obtaining approval from the Director of Studies (see Maths UG Zone on Moodle - link opens in new tab).
- Students must check the teaching timeslots (pdf - link opens in new tab) when choosing units. To minimise timetable clashes, you should not choose more than one unit from each timeslot within the same semester.
- Any student wishing to transfer/recover to the MMath during this year must ensure that they choose units which can lead to the the satisfactory completion of either a BSc or MMath degree - please contact your Director of Studies for advice.
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Academic Year: Final Stage
Optional Units: Select a minimum of 0 and a maximum of 1 units from the following list:
Unit Code | Title | |
ES20069 | Introduction to econometrics | 12 Credits |
Semester 1: Final Stage
Compulsory Units:
Unit Code | Title | |
MA30084 | Generalised linear models | 6 Credits |
MA30279 | Machine learning 2 | 6 Credits |
Optional Units: Select a minimum of 2 and a maximum of 3 units from the following list:
Unit Code | Title | |
ES30027 | Advanced econometrics 1 | 6 Credits |
MA20216 | Algebra 2A | 6 Credits |
MA20224 | Probability 2A | 6 Credits |
MA30039 | Differential geometry of curves & surfaces | 6 Credits |
MA30044 | Mathematical methods 1 | 6 Credits |
MA30047 | Mathematical biology 1 | 6 Credits |
MA30051 | Numerical linear algebra | 6 Credits |
MA30060 | Dynamics and chaos | 6 Credits |
MA30086 | Medical statistics | 6 Credits |
MA30087 | Optimisation methods of operational research | 6 Credits |
MA30125 | Markov processes & applications | 6 Credits |
MA30253 | Continuum mechanics | 6 Credits |
MA40092 | Classical statistical inference | 6 Credits |
MA40198 | Applied statistical inference | 6 Credits |
Semester 2: Final Stage
Compulsory Units:
Unit Code | Title | |
MA30091 | Applied statistics | 6 Credits |
MA30245 | Graphs and networks: theory and applications | 6 Credits |
MA30280 | Applied data science | 6 Credits |
Optional Units: Select a minimum of 1 and a maximum of 2 units from the following list:
Unit Code | Title | |
CM20256 | Functional programming | 6 Credits |
CM30173 | Cryptography | 6 Credits |
ES30028 | Advanced econometrics 2 | 6 Credits |
MA20217 | Algebra 2B | 6 Credits |
MA20225 | Probability 2B | 6 Credits |
MA30059 | Mathematical methods 2 | 6 Credits |
MA30061 | Control theory | 6 Credits |
MA30085 | Time series | 6 Credits |
MA30089 | Stochastic processes & finance | 6 Credits |
MA30231 | Projective geometry | 6 Credits |
MA30241 | Communicating maths | 6 Credits |
MA40090 | Multivariate data analysis | 6 Credits |
MA40177 | Scientific computing | 6 Credits |
MA40189 | Topics in Bayesian statistics | 6 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.
|