2016/17 Taught Postgraduate Programme Catalogue
MSc Medical Statistics
| Programme code: | MSC-STAT/MD | 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:
2:1 in a first degree with a significant statistical and mathematical component.
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:
At the end of the programme, students should:
- appreciate theoretical and practical perspectives on issues in medical statistics;
- be able to select and apply appropriate statistical methods for the analysis of medical data, using suitably chosen software packages;
- be prepared to embark on a programme of research as a research student or a career as a medical statistician;
- be able to explain statistical methods and results of statistical analysis in both written and verbal form, to both technical and non-technical audiences;
- have undertaken a substantial statistical project under supervision.
Year1 - View timetable
[Learning Outcomes, Transferable (Key) Skills, Assessment]
Students must enrol on exactly 180 or 185 credits overall, with at least 135 credits at level 5M.
Compulsory modules:
Students will be required to study the following compulsory modules:
| EPIB3036 | Introduction to Clinical Trials | 15 credits | Semester 2 (Jan to Jun) | |
| EPIB5022M | Core Epidemiology | 15 credits | Semester 1 (Sep to Jan) | |
| EPIB5023M | Introduction to Modelling | 15 credits | Semester 1 (Sep to Jan) | |
| MATH5835M | Statistical Computing | 15 credits | Semester 1 (Sep to Jan) |
Optional modules:
Students must take both modules from either List A or List B.
They are also required to study at least 25 credits from Lists C and D including at least one module from List C.
LIST A
| MATH5825M | Independent Learning and Skills Project | 15 credits | Semester 2 (Jan to Jun) | |
| MATH5871M | Dissertation in Statistics | 60 credits | 1 Jun to 30 Sep |
LIST B
| EPIB5001M | Research Project | 60 credits | 1 Oct to 30 Sep (12mth) | |
| EPIB5030M | Professional Spine | 15 credits | Semester 2 (Jan to Jun) |
LIST C
| MATH3714 | Linear Regression and Robustness | 15 credits | Semester 1 (Sep to Jan) | |
| MATH3723 | Statistical Theory | 15 credits | Semester 2 (Jan to Jun) | |
| MATH3772 | Multivariate Analysis | 10 credits | Semester 1 (Sep to Jan) | |
| MATH3802 | Time Series | 10 credits | Semester 2 (Jan to Jun) | |
| MATH3820 | Bayesian Statistics | 10 credits | Semester 1 (Sep to Jan) | |
| MATH3823 | Generalised Linear Models | 10 credits | Semester 2 (Jan to Jun) | |
| MATH3880 | Introduction to Statistics and DNA | 10 credits | Semester 2 (Jan to Jun) | |
| MATH5714M | Linear Regression and Robustness and Smoothing | 20 credits | Semester 1 (Sep to Jan) | |
| MATH5772M | Multivariate and Cluster Analysis | 15 credits | Semester 1 (Sep to Jan) | |
| MATH5802M | Time Series and Spectral Analysis | 15 credits | Semester 2 (Jan to Jun) | |
| MATH5820M | Bayesian Statistics and Causality | 15 credits | Semester 1 (Sep to Jan) | |
| MATH5824M | Generalised Linear and Additive Models | 15 credits | Semester 2 (Jan to Jun) | |
| MATH5880M | Statistics and DNA | 15 credits | Semester 2 (Jan to Jun) |
LIST D
| EPIB5025M | Multilevel and Latent variable Modelling | 15 credits | Semester 2 (Jan to Jun) | |
| EPIB5036M | Independent Learning Skills in Epidemiology and Biostatistics | 15 credits | Semesters 1 & 2 (Sep to Jun) | |
| EPIB5037M | Advanced Modelling Strategies | 15 credits | Semester 2 (Jan to Jun) | |
| EPIB5038M | Advanced epidemiological techniques | 15 credits | Semester 1 (Sep to Jan) |
Elective modules:
Student may choose up to 20 credits of elective modules, which should normally include a substantive statistical component, and are subject to the written approval of the Programme Manager.
Last updated: 24/03/2016
Browse Other Catalogues
- Undergraduate module catalogue
- Taught Postgraduate module catalogue
- Undergraduate programme catalogue
- Taught Postgraduate programme catalogue
Errors, omissions, failed links etc should be notified to the Catalogue Team.PROD