BSc (Econ)(Hons) Economics, Finance and Management
Spanning three years, with options to extend to four or five years to include a year ab...
MSc Bioinformatics
Mile End
INTAKE: September
Program Overview
The MSc Bioinformatics program provides an in-depth understanding of bioinformatics tools and techniques, focusing on computational biology, statistical analysis, and data-driven approaches to understanding biological systems. The program is designed to provide students with a solid foundation in computational methods used in the analysis of biological data, as well as practical skills needed for real-world applications in research and industry. The program prepares graduates for careers in the biotechnology, pharmaceutical, and healthcare industries, where bioinformatics expertise is in high demand.
Curriculum: The curriculum for the MSc in Bioinformatics offers a balanced combination of theoretical knowledge and practical skills. Core modules cover key topics such as computational biology, molecular genetics, bioinformatics algorithms, systems biology, and the analysis of large biological datasets. Students will also gain hands-on experience in programming, data analysis tools, and bioinformatics software. Additionally, the program includes specialized modules in areas such as next-generation sequencing, protein structure prediction, and machine learning applications in bioinformatics. A significant feature of the program is the research project or dissertation, where students can explore a specific topic of interest in bioinformatics in greater detail.
Research Focus: The MSc Bioinformatics program emphasizes research-driven learning, allowing students to engage with ongoing research in the field of bioinformatics. Students will have the opportunity to participate in cutting-edge research projects that explore areas like genomics, disease modeling, and drug discovery. Research projects are conducted under the guidance of experienced faculty members, with opportunities for students to collaborate on interdisciplinary research teams. The program encourages students to develop independent research skills and to apply bioinformatics techniques to real-world biological questions.
Industry Engagement: Queen Mary University of London is located in a hub of scientific research and innovation, and the MSc Bioinformatics program benefits from strong links with the biotechnology and pharmaceutical industries. Students are exposed to industry professionals through guest lectures, networking events, and opportunities for internships or placements with leading biotech companies and research institutions. These industry connections provide students with practical experience and insights into the latest trends and challenges in the bioinformatics field. Industry engagement also facilitates employability, as students gain access to potential employers and collaborative research projects.
Global Perspective: The MSc Bioinformatics program at Queen Mary University of London offers a global perspective by incorporating international case studies and research collaborations. Students are exposed to bioinformatics practices and challenges from around the world, particularly in the areas of genomics, epidemiology, and public health. The diverse student body and faculty provide a rich cultural exchange, allowing students to explore bioinformatics solutions in different global contexts. This international exposure equips graduates with the skills to work in global bioinformatics and biotechnology sectors.
Location
Mile End
Score
IELTS 6.5
Tuition Fee
£ 33500
Postgraduate Entry Requirements:
- Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60% or equivalent.
- English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
- IELTS: A minimum overall score of 6.5 with no individual component below 6.0.
- TOEFL: A minimum overall score of 92, with at least with at least 17 in Listening, 18 in Reading, 20 in Speaking, and 21 in Writing.
- PTE Academic: A minimum overall score of 71 with 65 in Writing, and 59 in Reading, Listening and Speaking..
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Queen Mary University of London offers a range of scholarships and bursaries to its students.
Queen Mary International Excellence Scholarships: A scholarship program for international undergraduate and postgraduate students who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full tuition fees for one year of study.
Queen Mary Law Scholarships: A scholarship program for undergraduate and postgraduate law students who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full or partial tuition fees, depending on the level of academic achievement.
Queen Mary Engineering and Materials Science Scholarships: A scholarship program for undergraduate and postgraduate students studying engineering or materials science who have an offer of admission from Queen Mary University of London and have demonstrated academic excellence. The scholarship covers full or partial tuition fees, depending on the level of academic achievement.
Graduates of the MSc in Bioinformatics program are well-prepared to embark on a variety of exciting career paths that bridge the gap between biology and computational sciences. This program opens doors to diverse career opportunities.
Bioinformatics Analyst: Graduates can work as analysts, processing and analyzing biological data to extract insights and contribute to scientific research.
Genomic Data Scientist: Graduates may specialize in genomics, analyzing DNA sequencing data to study genetic variations and their implications.
Computational Biologist: Graduates can apply computational techniques to model biological systems, understand protein interactions, and predict molecular structures.
Clinical Bioinformatician: Graduates may contribute to personalized medicine by analyzing patient data to identify genetic markers and inform treatment strategies.
Biomedical Researcher: Graduates can collaborate with biologists and medical researchers to analyze data and uncover patterns that drive advancements in healthcare.
Pharmaceutical Data Analyst: Graduates may work in the pharmaceutical industry, analyzing drug-related data to optimize drug discovery and development processes.
Academic Researcher: Graduates with a research focus can pursue doctoral studies (Ph.D.) in bioinformatics or related fields, contributing to academic advancements.
Bioinformatics Software Developer: Graduates may develop software tools and algorithms tailored for analyzing biological data and solving complex biological problems.
Data Curator: Graduates can curate and manage biological databases, ensuring accurate and accessible repositories of biological information.
Biotech Consultant: Graduates may offer consulting services to biotechnology companies, providing expertise in bioinformatics analysis and interpretation.
Healthcare Informatics Specialist: Graduates can contribute to healthcare informatics initiatives, integrating and analyzing patient data to improve healthcare outcomes.
