2024/25 Taught Postgraduate Programme Catalogue
MSc Statistics
| Programme code: | MSC-STAT | UCAS code: | |
|---|---|---|---|
| Duration: | 12 Months | Method of Attendance: | Full Time |
| Programme manager: | Luisa Cutillo | Contact address: | mscstats_dsa@leeds.ac.uk |
Total credits: 180
Entry requirements:
BSc (or equivalent) in a subject containing a substantial mathematical and statistical component, usually at level 2.1 or above (or equivalent).
School/Unit responsible for the parenting of students and programme:
School of Mathematics
Examination board through which the programme will be considered:
School of Mathematics
Programme specification:
The programme will:
- provide a solid training in mainstream advanced statistical modelling
- expose students to modern developments in Statistics
- be flexible in allowing the student to take a broad range of options, including modules within financial mathematics and statistical bioinformatics
- reflect the research interests of the department including specialized topics in statistical shape analysis and directional data, statistical genetics, and stochastic financial modelling.
At the end of the programme students should:
- be prepared to embark on a programme of research as a research student
- be able to undertake data analysis for a wide variety of statistical problems
- have learned key programming skills, both in data analysis and mathematical typesetting
- be equipped as a statistician for a range of careers in industry, commerce and the public sector
- have learned to express mathematical concepts and statistical analysis in both written and verbal form.
Year1 - View timetable
[Learning Outcomes, Transferable (Key) Skills, Assessment]
Candidates must enroll on exactly 180 or 185 credits overall, with at least 135 credits at level 5M. Please note that in order to obtain the MSc award students need to pass 150 credits with at least 135 at level 5 with a minimum classification average of 5.0 . Please refer to the 'rules of award' document for further details, with particular attention to section 16.
Students will be awarded the PGCert if they exit with 60 credits (including 45 at Level 5M), or the PGDip if they exit with 90 credits (including 75 at Level 5M).
Compulsory modules:
Candidates may choose to take up to 20 credits of elective/Discovery modules at Level 3 or 5M, which should normally include a substantive statistical component, and are subject to the written approval of the Programme Manager.
| MATH5835M | Statistical Computing | 15 credits | Semester 1 (Sep to Jan) | |
| MATH5871M | Dissertation in Statistics | 60 credits | 1 Jun to 30 Sep |
Optional modules:
Candidates will be required to study at least 70 credits from the following optional modules:
Students should study 15 credits (one) of these modules:
| MATH5090M | Medical Statistics in Practice | 15 credits | Not running in 202425 | |
| MATH5825M | Independent Learning and Skills Project | 15 credits | Semester 2 (Jan to Jun) |
Students should study at least 70 credits of the following modules. A "standard" package of module choices will comprise the compulsory modules and include the following optional modules:
| MATH3714 | Linear Regression and Robustness | 15 credits | Semester 1 (Sep to Jan) | |
| MATH3723 | Statistical Theory | 15 credits | Semester 2 (Jan to Jun) | |
| MATH5092M | Mixed Models with Medical Applications | 15 credits | Semester 2 (Jan to Jun) | |
| MATH5772M | Multivariate and Cluster Analysis | 15 credits | Semester 1 (Sep to Jan) | |
| MATH5802M | Time Series and Spectral Analysis | 15 credits | Semester 1 (Sep to Jan) | |
| MATH5824M | Generalised Linear and Additive Models | 15 credits | Semester 2 (Jan to Jun) |
However, depending on the student's background and preferences, :
| MATH3565 | Mathematical Biology | 15 credits | Semester 1 (Sep to Jan) | |
| MATH3567 | Evolutionary Modelling | 15 credits | Not running in 202425 | |
| MATH3734 | Stochastic Calculus for Finance | 15 credits | Semester 2 (Jan to Jun) | |
| MATH3772 | Multivariate Analysis | 10 credits | Semester 1 (Sep to Jan) | |
| MATH3802 | Time Series | 10 credits | Semester 1 (Sep to Jan) | |
| MATH3823 | Generalised Linear Models | 10 credits | Semester 2 (Jan to Jun) | |
| MATH3860 | Introduction to Clinical Trials | 15 credits | Semester 2 (Jan to Jun) | |
| MATH5320M | Discrete Time Finance | 15 credits | Semester 1 (Sep to Jan) | |
| MATH5330M | Continuous Time Finance | 15 credits | Semester 2 (Jan to Jun) | |
| MATH5340M | Risk Management | 15 credits | Semester 2 (Jan to Jun) | |
| MATH5566M | Advanced Mathematical Biology | 20 credits | Semester 1 (Sep to Jan) | |
| MATH5567M | Advanced Evolutionary Modelling | 20 credits | Not running in 202425 | |
| MATH5714M | Linear Regression, Robustness and Smoothing | 20 credits | Semester 1 (Sep to Jan) |
Subject to the overall constraint that the student must take at least 135 credits at level 5, and specific constraints related to individual modules (pre-requisites and exclusions, etc).
Elective modules:
Candidates may choose to take up to 20 credits of elective/Discovery modules at Level 3 or 5M, which should normally include a substantive statistical component, and are subject to the written approval of the Programme Manager.
Last updated: 13/05/2024 16:49:18
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