Bioinformatics and Theoretical Systems Biology

The MSc in Bioinformatics and Theoretical Systems Biology at Imperial College London is a cutting-edge postgraduate program designed to equip students with a comprehensive understanding of computational and mathematical approaches to modern biological problems. This multidisciplinary course combines principles from biology, computer science, mathematics, and physics to explore complex biological systems at the molecular, cellular, and organismal levels. Students gain expertise in data analysis, algorithm development, computational modelling, and systems-level understanding of biological processes, preparing them for careers in academia, industry, or healthcare.

The program covers a wide range of topics including genomics, proteomics, systems biology, synthetic biology, and computational neuroscience. Students will learn to handle large biological datasets, utilize programming skills to develop analytical tools, and construct models to simulate biological functions and interactions. Emphasis is placed on integrating experimental data with theoretical models to generate predictive insights, which are crucial for advancements in personalized medicine, drug discovery, and biotechnology. The curriculum includes core modules in bioinformatics, systems biology, mathematical modelling, and programming, complemented by optional modules that allow students to tailor their studies toward specific interests.

Imperial College’s state-of-the-art facilities provide students with access to advanced computational resources and extensive datasets necessary for research and project work. The MSc involves a substantial research project, often in collaboration with leading academic or industrial partners, enabling students to apply their knowledge to real-world problems. Graduates of this program will possess a unique skill set that combines biological understanding with quantitative and computational methods, rendering them highly competitive in the rapidly evolving fields of Bioinformatics and Systems Biology. The program aims to foster innovation and critical thinking, preparing students to contribute significantly to scientific discovery and technological development in life sciences.

In the first term, students are provided with information not covered by their first degree courses, in addition to the following compulsory elements:

• Bioinformatics and Systems Biology - Introduction to biology; advanced tools for the
  analysis of biological data; and approaches for modelling biological systems
• Computing - Java, Python and perl; an introduction to program design and command line computing in a Unix shell
• Mathematics and statistical inference - high level algorithms and the analysis of large datasets

The remainder of the year is devoted to three full-time research projects, undertaken under the supervision of researchers at Imperial College (this may also involve collaboration with other academic centres or industry).

Syllabus Guide

Term 1 (October - December)

In the first term, students will be provided with the supplementary information not covered by their previous degree courses or experience. This will be achieved through a basic specifically-designed and taught Bioinformatics (I) module and through computing and mathematics teaching which incorporates existing MSci and MEng modules, as well as specifically designed practical sessions.

Bioinformatics and Systems Biology I
The module covers the broad fields of Genetics and Genomics as core curriculum. In addition, a basic review of standard molecular biological concepts at 1st or 2nd year undergraduate level could be provided for students without a first degree in the biological sciences, supplemented by more extensive reading lists. Lectures and material will be designed to reinforce basic concepts and to introduce more advanced issues related to bioinformatics and computational biology.
Genetics will include: modes of inheritance (single-gene traits), chromosomal, somatic and mitochondrial disorders, complex trait disorders, linkage analysis for single gene and complex traits, linkage disequilibrium an animal models -advantages and limitations.
Genomics will include: physical mapping, the Human Genome Project, high-throughput sequencing, DNA and Protein databases (outline and principles), Principles of homology and motif identification (DNA and protein)

Mathematics
Probability theory, Information theory, Bayesian and frequentist methods, Descriptive analysis of large data sets
The basics of probability and statistics will be introduced, covering: axioms of probability, interpretations of probability, laws of probability, independence, discrete and continuous random variables, basic descriptive statistics, rudiments of estimation, basic notions of frequentist and Bayesian inference, and the descriptive analysis of large data sets. Practical experience will be gained through the use of an appropriate computer package.

Computing
Programming skills, Experience of DOS/Windows and UNIX/Linux, Basic computing concepts. The main elements will be:
Introduction to computing: This will be a general overview of computing techniques, including relational databases and SQL, computer architectures, features of programming languages.
Programming: Python/ Java/PERL
Program design: Program design, abstraction and modularity.
Associated assignments: Programming exercises will be designed to supplement the material covered and to give familiarity with both DOS/Windows and UNIX/Linux environments, and with the Perl scripting language.

Bioinformatics II
Bioinformatics: Theoretical and practical issues in bioinformatics research in the area of genome sequence and protein families will include: DNA sequence analysis and annotation, DNA alignment algorithms and DNA/protein homology and its uses, identification and delineation of protein families, phylogenetic analysis of protein sequences and residue conservation. Computational issues will include: Resources i.e. packages, programs, sites and tools, heterogeneous databases and interoperability.
Functional genomics: dealing with basics of experimental design and theoretical and practical bioinformatics issues arising from rapid developments in functional genomics, which will include: Analysis of whole genomes - eukaryotic and microbial genetics, gene function- pathways and signalling networks, transcriptional profiling- methods and analysis., proteomics- methods and analysis and methods and analysis of protein structure:
Statistical genetics: an introduction to theoretical and practical issues in current statistical genetics research and application including: Genetic epidemiology, segregation analysis and path analysis, parametric and non parametric linkage analysis, QTL analysis, linkage disequilibrium analyses and phylogeny and cladistics
Ethics and the law including: Ethical issues in contemporary genetics and patent law. In addition to the taught syllabus, practicals will be used to explore related issues more deeply. These practicals will focus on issues of direct relevance to industrial genomics/pharmaceutical practice including expression mapping, positional cloning, homology searching, sequence annotation, and pharmacogenomics.

Dissertations/projects (compulsory)

Research projects (January - September)

The research projects are designed to provide students with experience in implementing a substantive research project in Bioinformatics and to practise the skills they have learnt from the taught components of the MSc course. All projects will directly involve liaison with biologists, mathematicians, and computing specialists. All projects have a 10 -12 week duration.

Project one is a computing project, reinforcing programming skills and providing an opportunity to experience creation of code in detail.

Project two involves the students working on the statistical and computational analysis of biological or biomedical datasets in collaboration with experimental/clinical groups within Imperial College London. This should be related to ongoing research projects.

Project three is either a biological or mathematical project, and provides a mechanism for use of the skills obtained during the course in a research environment. Many of these projects contribute directly to scientific publications.

Applicants with a first degree in biological, physical, computational or mathematical courses, or equivalent overseas qualifications, are welcome to apply.

If your first degree is from a country other than the UK, you may find the guidelines within our Country Index helpful. Please note that these guidelines indicate the College minimum.

Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

The MSc in Bioinformatics and Theoretical Systems Biology at Imperial College London offers a range of funding opportunities to support students throughout their studies. Prospective students are encouraged to explore scholarships, grants, and bursaries available both centrally through Imperial College and externally via government schemes, research councils, and private organizations. Imperial College London provides various scholarships specifically aimed at international and domestic students, including the Imperial College PhD Scholarship program, which students pursuing postgraduate degrees may be eligible for, depending on their academic achievements and research interests. Additionally, students can apply for funding through the UK Research and Innovation (UKRI), which offers doctoral and master's funding schemes for students engaged in research-based courses, including those in systems biology.

Students are also advised to consider external funding sources such as government-sponsored loans, sponsorships from industry partners, and international scholarships from their home countries. For students from the European Union or other countries, there are specific Erasmus+ mobility grants and other bilateral agreements that can help cover tuition fees and living expenses. Imperial College London also offers part-time work opportunities on or near campus, which can assist in supplementing personal finances during the course.

Furthermore, some departments and research groups may have dedicated funding for specific projects, and students involved in research demonstrations or assistantships might secure additional financial support. It is highly recommended for applicants to contact the admissions office or the program coordinators directly for detailed and current information about available financial aid options, as eligibility criteria and application procedures may vary each year. Overall, while the university makes significant efforts to support students financially, prospective applicants should plan their funding strategies well in advance to ensure comprehensive financial coverage for the duration of their studies.

The MSc in Bioinformatics and Theoretical Systems Biology at Imperial College London is a specialized postgraduate program designed to equip students with a deep understanding of computational and mathematical approaches applied to biological systems. This course combines the disciplines of bioinformatics, systems biology, and computational biology to prepare graduates for research and industry roles in genomics, personalized medicine, drug discovery, and systems-level understanding of biological processes. The program leverages Imperial College's strong research output and state-of-the-art facilities, providing students with practical experience in data analysis, algorithm development, and mathematical modeling.

Students will engage with modules covering genetic data analysis, molecular and cellular modeling, machine learning applications in biology, and systems biology frameworks. Emphasis is placed on developing skills in programming, statistical analysis, and biological data interpretation. The curriculum also incorporates computational tools and software used in the field, ensuring that graduates are workforce-ready with transferable skills for diverse careers. The program is suitable for students with backgrounds in biology, computer science, mathematics, or related disciplines and aims to foster interdisciplinary collaboration and innovative research.

Research opportunities are available within the department, enabling students to contribute to cutting-edge projects in genomics, bioinformatics, and theoretical biology. The program also benefits from Imperial College London's extensive network of industry partners and research institutes, enhancing employability prospects for graduates. Typically, students are encouraged to undertake a substantial research project or thesis as part of their degree, providing hands-on experience and the opportunity to contribute to scientific advancements.

Overall, the MSc in Bioinformatics and Theoretical Systems Biology is designed to develop leaders in computational biology, capable of addressing complex biological questions using a combination of theoretical and applied skills. Graduates are well-positioned to pursue careers in academia, research institutions, biotech companies, and healthcare sectors, or to continue their studies through PhD programs. The university's commitment to integrating scientific research with teaching ensures that students are kept at the forefront of advancements in this rapidly evolving field.