BSc Acoustics and Music Technology
The BSc Acoustics and Music Technology program at The University of Edinburgh offers a ...
The Kings Buildings Campus
INTAKE: September
The MSc Bioinformatics program at The University of Edinburgh is designed to equip students with advanced knowledge and practical skills in the interdisciplinary field of bioinformatics. This program integrates principles of biology, computer science, and statistics to analyze biological data, decipher complex biological processes, and address critical challenges in healthcare, agriculture, and environmental sciences. Students gain expertise in computational biology, genomic analysis, and data-driven approaches to unravel biological mysteries.
Interdisciplinary Curriculum: The program offers a comprehensive curriculum that blends biological sciences with computational techniques and statistical methods. Students learn to apply programming languages such as Python and R to analyze biological datasets, understand genetic variations, and interpret molecular structures.
Hands-on Training: Students benefit from extensive hands-on training using state-of-the-art bioinformatics tools and databases. They engage in practical sessions to analyze genomic data, perform phylogenetic analyses, and predict protein structures, gaining valuable experience in bioinformatics workflows.
Research Opportunities: The University of Edinburgh is renowned for its research excellence in bioinformatics and related fields. Students have access to cutting-edge research facilities and collaborate with renowned faculty on diverse research projects, from personalized medicine to evolutionary genomics.
Industry-Relevant Skills: The program emphasizes the development of industry-relevant skills essential for bioinformatics careers. Students learn to apply computational algorithms for sequence analysis, machine learning techniques for biological data mining, and statistical modeling for genome-wide association studies.
Career Development: Graduates of the MSc Bioinformatics program are well-prepared for diverse career paths in academia, healthcare, biotechnology, and pharmaceutical industries. They can pursue roles as bioinformaticians, data analysts, research scientists, or bioinformatics software developers, contributing to advancements in precision medicine, agriculture, and environmental sustainability.
The Kings Buildings Campus
IELTS: 7
£ 40900
Postgraduate entry requirements:
Academic Qualifications: Prospective postgraduate applicants to the University of Edinburgh are typically required to have achieved a minimum academic qualification of approximately 60%, based on their previous academic achievements and qualifications.
English Language Proficiency:
IELTS (International English Language Testing System): Minimum overall score of 7.0, with at least 6.0 in each component (Listening, Reading, Speaking, Writing).
TOEFL (Test of English as a Foreign Language): Minimum score of 100 on the internet-based test (iBT), with at least 20 in each component (Reading, Listening, Speaking, Writing).
PTE (Pearson Test of English): Minimum overall score of 70, with at least 59 in each component (Listening, Reading, Speaking, Writing).
Students must provide:
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.
The University of Edinburgh offers a range of scholarships and funding opportunities specifically designed to support international students pursuing undergraduate, postgraduate, and research programs. These scholarships aim to promote diversity, academic excellence, and global engagement.
Global Scholarships: The University of Edinburgh offers Global Scholarships to outstanding international undergraduate students. These scholarships provide financial assistance towards tuition fees and living expenses, enabling talented students from around the world to access quality education at Edinburgh.
Edinburgh Global Research Scholarships: International postgraduate students pursuing research-based programs (Ph.D., MSc by Research) can apply for Edinburgh Global Research Scholarships. These scholarships provide full or partial funding for tuition fees and living expenses during the research program.
School-specific Scholarships: Some academic schools and departments within the university offer scholarships targeting international students in specific disciplines or programs. These scholarships may be merit-based or need-based and vary in terms of eligibility criteria and funding amounts.
Commonwealth Scholarships: The University of Edinburgh participates in various Commonwealth scholarship schemes, providing opportunities for students from Commonwealth countries to study in the UK. These scholarships are funded by the UK government and other organizations.
External Funding Sources: International students are encouraged to explore external funding sources, such as government scholarships, private organizations, and international foundations, to support their studies at the University of Edinburgh.
It is important to note that scholarship availability, criteria, and application deadlines may change from year to year.
The MSc Bioinformatics program at The University of Edinburgh equips graduates with versatile skills that are highly sought after in the rapidly growing fields of biotechnology, healthcare, and scientific research. With opportunities across various sectors, graduates play a crucial role in driving advancements in personalized medicine, agriculture, and environmental sustainability.
Bioinformatician: Graduates of the MSc Bioinformatics program are well-suited for roles as bioinformaticians, where they apply computational methods to analyze biological data. They work closely with biologists and geneticists to interpret genomic sequences, predict protein structures, and uncover biological insights.
Data Scientist in Biotechnology: The skills acquired during the program enable students to pursue roles as data scientists within the biotechnology sector. They use their expertise in data analysis, machine learning, and statistical modeling to develop new therapies, optimize drug discovery processes, and enhance agricultural practices.
Genomic Analyst: As genomic data becomes increasingly important in healthcare and research, graduates can work as genomic analysts, leveraging their skills to study genetic variations, identify disease markers, and contribute to personalized medicine initiatives.
Research Scientist: Many graduates choose to pursue research scientist positions in academic institutions, research organizations, or pharmaceutical companies. They conduct experiments, analyze large-scale datasets, and collaborate on interdisciplinary projects aimed at understanding biological processes.
Bioinformatics Software Developer: With programming skills acquired during the program, graduates can specialize in bioinformatics software development. They design algorithms, build computational tools, and create user-friendly applications that facilitate biological data analysis and visualization.
Healthcare Informatics Specialist: Graduates may work in healthcare settings, applying bioinformatics techniques to analyze patient data, interpret clinical genomics, and support precision medicine initiatives. They contribute to advancements in disease diagnosis, treatment selection, and public health strategies.
Consultant in Data-Driven Solutions: Some graduates choose consultancy roles, providing expertise in data-driven solutions to biotech companies, research institutions, or government agencies. They offer insights into data management, bioinformatics workflows, and strategic decision-making based on biological data.
Academic or Industry Researcher: The program prepares students for further academic pursuits or industry research positions. They can pursue doctoral studies in bioinformatics, genomics, or related fields, or contribute to innovative research projects in industry settings.