Every field in life sciences has been transformed by the use of computers. Bioinformatics is a rapidly developing field at the interface between life sciences, statistics and computational science focused on addressing key questions in biology through the development and application of methods, data analytics, and software. The ability to develop and apply computational methods to large and complex datasets will be a key driver of biological innovation in the next decades.
MSc Bioinformatics at Nottingham is aimed at students with a background in biological sciences who wish to develop skills in bioinformatics, statistics, computer programming, and data analytics skills for industry, future research careers, and more. The course is not aimed at students with a background in computer science.
The taught part of the course is supported by a project preparation skills module, to consolidate your subject-specific skills in addition to training on advanced statistical analysis. You will then complete a substantial individual research project over the summer, utilising these essential employability skills.
This course is for students who are looking for in-depth knowledge and practical training in bioinformatic approaches, and their application across biology and biomedical sciences.
The course consists of six modules including a group project, a project preparation skills module and a substantial individual research project.
In the autumn semester, you’ll learn how to apply bioinformatics to all areas of biological research by using various tools including Unix, R, Python and high-performance computers (HPC). Alongside practical software use, you’ll become well-versed in topics such as evolutionary genomics, sequence assembly and statistics.
Modules in the spring semester will give you various opportunities to put theory into practice. You'll work in groups to complete a group research project, as well as starting to prepare for your individual research project with the project preparation skills module.
In the summer, you will carry out a substantial individual research project, where you will narrow down your research area and apply it to an industry-relevant challenge. The research project combines laboratory training, data collection and analysis, and oral presentation on top of a traditional dissertation project. This is an exciting opportunity to investigate a real-world problem under expert supervision within a working laboratory.
All candidates are considered on an individual basis and we accept a broad range of qualifications. The entrance requirements below apply to 2027 entry.
Applicants with a lower second-class degree (2:2) (or international equivalent) may be considered on an individual basis.
Applicants with a lower second-class degree (2:2) (or international equivalent) may be considered on an individual basis.
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 20 位 | 约翰霍普金斯大学Johns Hopkins University | 11门课 | 5008美元/门课 |
| 第 22 位 | 墨尔本大学The University of Melbourne | 2年 | 67872澳元/年 |
| 第 35 位 | 爱丁堡大学The University of Edinburgh | 1年 | 47680英镑/年 |
| 第 45 位 | 不列颠哥伦比亚大学University of British Columbia | 平均 2.3 年（最短 1.3 / 最长 9） | 10,081.65 加元（国际生首年学费；本国生 5,738.52） |
| 第 57 位 | 布里斯托大学University of Bristol | 1年 | 32800英镑/年 |
| 第 68 位 | 伯明翰大学University of Birmingham | 1年 | 34830英镑/年 |
| 第 74 位 | 伊利诺伊大学厄巴纳-香槟分校University of Illinois Urbana-Champaign | 36学分 | 31,193美元 |
| 第 80 位 | 格拉斯哥大学University of Glasgow | 1年 | 34815英镑/年 |