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The MSc Biological Data Science is a 12-month full-time program based at the University of Dundee, Scotland, designed to equip students with advanced computational, analytical, and data science skills tailored specifically to the biological and biomedical sciences.
The course combines hands-on training in computational methods, programming, and statistical analysis with real-world biological datasets from genomics, proteomics, metabolomics, imaging, and drug discovery.
Graduates are well-prepared for industry roles in biotech, pharma, healthcare, and research or further doctoral study.
Rankings:
Teaching methods: Includes lectures, seminars, practical workshops, and individual/group projects.
Assessment: Comprises coursework, practical assignments, presentations, and a dissertation project.
Course Overview:
Big Data Analysis
Scientific Method and Skills
MSc Project Proposal and Associated Skills
MSc Quantitative Biology Research Project
Advanced Technology Platforms
Biomolecular Modelling
Hands-On Computational Training: Practical application of computational methods, machine learning, and statistical modelling to complex biological and biomedical datasets.
Real-World Data Projects: Analysis of authentic datasets from genomics, proteomics, metabolomics, imaging, and drug discovery, ensuring industry-relevant skills.
Programming for Data Science: Focused training in programming languages and data manipulation techniques for biological data analysis.
Critical and Transferable Skills: Development of research ethics, entrepreneurship, teamwork, communication, data visualisation, problem-solving, and project management.
Exposure to Advanced Platforms: Opportunities to work with Dundee’s leading bioscience technology platforms or focus on molecular modelling and simulation for biology and drug design.
Final Research Project: A substantial project often in collaboration with leading researchers, allowing students to apply advanced analytical techniques to real-world biological challenges.
Strong industry demand for biological data scientists in biotechnology, pharmaceuticals, healthcare, and research sectors.
The program offers excellent preparation for PhD study or advanced research roles in both academic and industry settings.
Entrepreneurial and leadership skills support career progression into management, start-ups, or consultancy in biological data science.
Entry Requirement: A UK Lower Second-Class Honours (2:2) degreeIELTS Academic: Overall 6.5 with W6.0, L5.5, R5.5 and S6.0TOEFL iBT: Overall 87 with W20, L17, R18 and S22Scholarships availableYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Biological Data AnalystBioinformaticianData ScientistComputational BiologistResearch AnalystGenomics/Proteomics SpecialistDrug Discovery ScientistBig Data SpecialistAcademic ResearcherHealthcare Data Scientist
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University of Dundee
