2020/21 Taught Postgraduate Programme Catalogue
MSc Statistics
| Programme code: | MSC-STAT | UCAS code: | |
|---|---|---|---|
| Duration: | 12 Months | Method of Attendance: | Full Time |
| Programme manager: | Dr Arief Gusnanto | Contact address: | arief@maths.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 enrol on exactly 180 or 185 credits overall, with at least 135 credits at level 5M.
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 will be required to study the following compulsory modules:
| MATH5835M | Statistical Computing | 15 credits | Semester 1 (Sep to Jan), 1 May to 30 Sep | |
| MATH5871M | Dissertation in Statistics | 60 credits | 1 Aug to 31 Oct, 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 | Semester 2 (Jan to Jun) | |
| MATH5825M | Independent Learning and Skills Project | 15 credits | 1 Jan to 31 May, 1 May to 30 Sep |
Students should study at least 70 credits of the following
| EPIB3036 | Introduction to Clinical Trials | 15 credits | Semester 2 (Jan to Jun) | |
| MATH3092 | Mixed Models | 10 credits | Semester 2 (Jan to Jun), 1 Jan to 31 May | |
| MATH3565 | Mathematical Biology | 15 credits | Semester 1 (Sep to Jan) | |
| MATH3567 | Evolutionary Modelling | 15 credits | Not running in 202021 | |
| MATH3714 | Linear Regression and Robustness | 15 credits | Semester 1 (Sep to Jan) | |
| MATH3723 | Statistical Theory | 15 credits | Semester 1 (Sep to Jan) | |
| MATH3734 | Stochastic Calculus for Finance | 15 credits | 1 Jan to 31 May | |
| MATH3772 | Multivariate Analysis | 10 credits | Semester 1 (Sep to Jan) | |
| MATH3802 | Time Series | 10 credits | 1 Sep to 31 Dec (adv yr), 1 Jan to 31 May | |
| MATH3820 | Bayesian Statistics | 10 credits | Not running in 202021 | |
| MATH3823 | Generalised Linear Models | 10 credits | 1 Jan to 31 May | |
| MATH5092M | Mixed Models with Medical Applications | 15 credits | 1 Jan to 31 May | |
| MATH5320M | Discrete Time Finance | 15 credits | 1 Jan to 31 May | |
| MATH5330M | Continuous Time Finance | 15 credits | 1 May to 30 Sep | |
| MATH5340M | Risk Management | 15 credits | 1 May to 30 Sep | |
| MATH5566M | Advanced Mathematical Biology | 20 credits | Semester 1 (Sep to Jan) | |
| MATH5567M | Advanced Evolutionary Modelling | 20 credits | Not running in 202021 | |
| MATH5714M | Linear Regression, Robustness and Smoothing | 20 credits | Semester 1 (Sep to Jan), 1 May to 30 Sep | |
| MATH5734M | Advanced Stochastic Calculus and Applications to Finance | 20 credits | 1 Jan to 31 May | |
| MATH5772M | Multivariate and Cluster Analysis | 15 credits | 1 May to 30 Sep, Semester 1 (Sep to Jan) |
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: 24/05/2021 09:54:00
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