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Bioinformatics and Molecular Genetics MSc

Bioinformatics and Molecular Genetics MSc

Different course options

Study mode

Full time


1 year

Start date


Key information

Qualification type

MSc - Master of Science

Subject areas

Bioinformatics Genetics

Course type


Course Summary

Course description

Modern bioscience is dependent on computational data analysis. This course combines current concepts and techniques of molecular genetics as applied in modern research with practical experience of experimental techniques, and hands-on bioinformatics and data analysis to equip you with the computational and analytical skills necessary for a career in modern molecular biosciences.

Teaching and learning

The Molecular Genetics phase of the course runs between September and December and is based around a series of hands-on lab experiments and small group teaching sessions which will introduce you to a variety of modern molecular techniques and research strategies.

The Bioinformatics phase of the course runs between January and June and is based around lectures and computational practicals covering different aspects from programming to data analysis.

The course material is taught using a combination of lectures, problem-solving, small group work, drop-in sessions and self-directed learning.

The taught modules are assessed by in-module assessments and by exams. Your research project will be assessed on your independence, initiative and understanding whilst performing the project, and the submission of a final dissertation.


An explosion in biological data has resulted from genome projects, high throughput sequencing and other 'omics' techniques. Molecular genetics provides you with a sound grounding to put such data into context, while bioinformatics provides the tools to analyse and exploit such data sets. The research training you receive will provide skills that PhD supervisors and employers value highly.


In this module you will study the very broad role bioinformatics plays in the fields of genetics and genomics. We will look at the basic molecular and cellular processes underlying gene expression, genome structure and evolution as well as the techniques used to study them. We will investigate genome sequencing and genome annotation, and the emerging areas of functional and comparative genomics. Since statistical analyses underpin many informatic challenges in biology, we will explore these analyses and the statistical tools supporting them (specifically the R programming language) in the context of two major application areas -transcriptomics, and molecular evolution and phylogeny. We will also consider the role of statistics in genetic mapping and genetic epidemiology.
Bioinformatics Research Project - Core

Tuition fees

UK fees
Course fees for UK / EU students

For this course (overall cost)


Average for all Postgrad courses (per year)


International fees
Course fees for non-UK / EU students

For this course (overall cost)


Average for all Postgrad courses (per year)


Entry requirements

Students need to have: Second class honours degree or equivalent in a biological or biomedical science. Their interest in computing and bioinformatics will be assessed in an interview.

University information

As a top 25 UK University, Leicester has always been home to the great minds; academics, researchers and students who aren’t afraid to challenge the status quo, advance new practices, and develop a fresh way of thinking. Through the ground-breaking research of their experts, you will tackle the emerging social, economic, political and scientific issues head on and set the agenda where others simply follow. At Leicester, students aren’t...more

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