Bioinformatics

The MSc in Bioinformatics at the University of Edinburgh offers an in-depth exploration of the interdisciplinary field combining biology, computer science, and mathematics. This program is designed for students who are eager to develop advanced skills in computational biology, genomics, and data analysis, preparing them for careers in academia, industry, or healthcare. Throughout the course, students will gain a comprehensive understanding of biological data, including genetic sequences, protein structures, and metabolic pathways, and learn how to develop algorithms and software tools essential for analyzing large and complex datasets. The curriculum covers essential topics such as molecular biology, algorithms, statistical methods, machine learning, and bioinformatics programming. Students will also have the opportunity to undertake a substantial research project, enabling them to apply their skills to real-world biological problems and contribute to ongoing scientific research. The program is supported by cutting-edge facilities and offered by leading experts in the field, ensuring students receive a high-quality education grounded in current scientific practices and innovations. Graduates of this program will be well-equipped to pursue careers in research institutions, pharmaceutical companies, biotech firms, and government agencies, or to continue their academic journey with a PhD. The MSc in Bioinformatics emphasizes practical skills training along with theoretical knowledge, fostering critical thinking, problem-solving abilities, and technical expertise necessary for success in the fast-evolving landscape of computational biology. This program also benefits from the university’s strong connections with industry partners, providing networking opportunities and insights into the latest developments in bioinformatics and genomics. Join the MSc in Bioinformatics at the University of Edinburgh to become part of a vibrant scientific community, develop groundbreaking skills, and contribute to the future of biological and medical research.

The MSc comprises two semesters of taught courses followed by a research project and dissertation. The project is a key element in deciding how your career in bioinformatics should develop further. Teaching is through lectures, tutorials, seminars, computer practicals and lab demonstrations.

Compulsory courses:

• Bioinformatics Programming & System Management
• Bioinformatics Research Proposal
• MSc Dissertation (Bioinformatics)
• Statistics & Data Analysis

Optional courses:

• Bioinformatics 1
• Human–Computer Interaction
• Information Processing in Biological Cells
• Molecular Modelling and Database Mining
• Quantitating Drug Binding
• Bioinformatics Algorithms
• Bioinformatics 2
• Functional Genomic Technologies
• Introduction to Website and Database Design for Drug Discovery
• Molecular Phylogenetics
• Next Generation Genomics
• Software Architecture, Process, and Management
• Drug Discovery
• Introduction to Java Programming

Research

The research project is carried out independently, but under the guidance of a supervisor, during the summer, with results presented in a dissertation. A wide range of projects is available through both the School of Biological Sciences and the School of Informatics.

• A UK 2:1 honours degree, or its international equivalent, in biological sciences. You must have a strong background in molecular biology, biochemistry or related sciences and some experience of computer science or mathematics.

• an undergraduate or masters degree, that was taught and assessed in English in a majority English speaking country as defined by UK Visas and Immigration

  • UKVI list of majority English speaking countries
• IELTS Academic: total 6.5 with at least 6.0 in each component
• TOEFL-iBT: total 92 with at least 20 in each section
• PTE(A): total 61 with at least 56 in each of the Communicative Skills scores
• CAE and CPE: total 176 with at least 169 in each paper
• Trinity ISE: ISE II with distinctions in all four components

Financing of the Bioinformatics program at The University of Edinburgh is designed to support both domestic and international students through a comprehensive range of funding options. The university offers several scholarships, bursaries, and financial aid schemes specifically targeted at postgraduate students pursuing MSc degrees in Bioinformatics. These funding opportunities aim to alleviate the costs associated with tuition fees and living expenses, making higher education accessible to a diverse student body.

For international students, there are dedicated funding options such as the Edinburgh Global Research Scholarship and other external scholarships, which provide partial or full fee waivers. UK students may be eligible for government-backed loans and grants, including student loans administered by the Student Awards Agency Scotland (SAAS). Additionally, the university offers merit-based scholarships that consider academic excellence, research potential, and relevant experience.

Prospective students are encouraged to explore external sources of funding such as research councils, private foundations, and industry sponsorships, which sometimes provide grants or stipends for Bioinformatics students engaged in cutting-edge research. The university's Career Service also provides advice on part-time employment opportunities and internships that students can pursue to support their finances during their studies.

It is recommended for applicants to contact the university’s Financial Aid Office early in their application process to receive tailored guidance and ensure they meet all eligibility criteria for various funding options. Furthermore, students are advised to apply for funding well in advance of their intended start date, as some scholarships and grants have specific deadlines. The university’s website contains comprehensive and regularly updated information regarding available funding opportunities, application procedures, and eligibility requirements, thereby facilitating students’ financial planning for their academic journey in Bioinformatics. Overall, The University of Edinburgh strives to provide robust financial support mechanisms to enable talented students from around the world to pursue their passions in Bioinformatics without undue financial burden.

The MSc in Bioinformatics at the University of Edinburgh is a comprehensive postgraduate program designed to equip students with the essential skills and knowledge required to analyze and interpret biological data. This program integrates principles from biology, computer science, and mathematics, emphasizing computational techniques for understanding complex biological systems. Students will gain hands-on experience with industry-standard software tools and databases, such as R, Python, and specialized bioinformatics platforms, preparing them for careers in research, industry, or healthcare. The curriculum covers a broad range of topics including genomics, proteomics, systems biology, data analysis, and machine learning applications in bioinformatics. The program is delivered through a combination of lectures, tutorials, lab sessions, and project work, fostering both theoretical understanding and practical skills. Students also undertake a substantial research project, which allows them to apply their knowledge to real-world biological questions, often in collaboration with research institutes or industry partners. The University of Edinburgh provides state-of-the-art facilities and access to extensive biological datasets, supporting cutting-edge research. With its strong emphasis on interdisciplinary training, the MSc in Bioinformatics aims to produce graduates capable of contributing to advances in biomedical research, personalized medicine, and biotechnology. The program benefits from the university’s strong links to the medical and scientific communities, offering excellent networking and employment opportunities after graduation. Students graduating from this program will be well-equipped to pursue doctoral research or employment in biotechnology companies, research institutes, hospitals, and governmental agencies involved in bioinformatics and computational biology.