Statistics for Computational Biology
Computational Biology is an area of key strategic interest for interdisciplinary research and for employers in pharmaceuticals, advanced agriculture and in public health. The use of statistics in this area is essential. This new MSc will be run jointly between Mathematics, Computer Science, and Biological Sciences, providing an excellent point of entry to this growing area for graduates in any of the three constituent disciplines.
Modules include Statistical Concepts, Methods and Tools, Statistical Techniques, Programming for Scientists, Machine Learning, Concepts in Biology, and a Dissertation.
For further information please contact Dr Edel Sherratt (eds@aber.ac.uk)
Typical Entry Requirements
Fees and Finance
Course Overview
Modules September start - 2024
Please note: The modules listed below are those currently intended for delivery during the next academic year and may be subject to change. They are included here to give an indication of how the course is structured.
Module Name | Module Code | Credit Value |
---|---|---|
Biotechnology for Business | BRM0520 | 20 |
Frontiers in the Biosciences | BRM4920 | 20 |
Machine Learning for Intelligent Systems | CSM6420 | 20 |
Programming for Scientists | CSM0120 | 20 |
Statistical Concepts, Methods and Tools | MAM5120 | 20 |
Statistical Techniques for Computational Scientists | MAM5220 | 20 |
Dissertation | CSM9060 | 60 |
M.Sc. Dissertation | BRM3560 | 60 |
* Also available partially or entirely through the medium of Welsh