MSc in Data Science for Biology
The University of Edinburgh - School of Biological Sciences
Key Information
Campus location
Edinburgh, United Kingdom
Languages
English
Study format
On-Campus
Duration
1 year
Pace
Full time
Tuition fees
GBP 38,500 / per year *
Application deadline
Request info
Earliest start date
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* international/EU: £38,500 - Scotland/rest of UK £19,100
Scholarships
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Introduction
A Master of Science (MSc) program in Data Science for Biology combines the fields of data science and biology to provide students with a comprehensive understanding of how data analysis and computational techniques can be applied to biological research and healthcare. This program is designed for students who have a background in biology or a related field and wish to acquire advanced knowledge and skills in data science to address complex biological challenges.
The program typically includes a combination of coursework, laboratory work, and research projects. The coursework covers fundamental concepts and techniques in data science, such as statistical analysis, machine learning, data mining, and bioinformatics. Students also study core topics in biology, such as genetics, molecular biology, and systems biology, to gain a solid understanding of biological processes.
The curriculum often includes specialized courses that focus on the application of data science methods to specific areas of biology, such as genomics, proteomics, drug discovery, computational biology, or personalized medicine. These courses provide students with the necessary knowledge to analyze large biological datasets, identify patterns, and extract meaningful insights to advance biological research and improve healthcare outcomes.
In addition to coursework, students typically engage in laboratory work and research projects to gain hands-on experience in applying data science techniques to biological problems. They may work on real-world projects in collaboration with industry partners, research institutions, or healthcare organizations. These practical experiences help students develop critical thinking, problem-solving, and data analysis skills while deepening their understanding of the field.
Throughout the program, students are also encouraged to develop their communication and collaboration skills, as these are essential for effectively communicating scientific findings and working in interdisciplinary teams. They may participate in seminars, workshops, or conferences to present their research findings and engage with the broader scientific community.
Upon completion of the Data Science for Biology MSc program, graduates are well-equipped to pursue careers in various domains, including academic research, biotechnology, pharmaceuticals, healthcare, and data-driven industries. They can work as data scientists, bioinformaticians, research scientists, or data analysts, contributing to advancements in biology, medicine, and healthcare through the application of data science techniques.
Admissions
Scholarships and Funding
Curriculum
The MSc comprises two semesters of taught courses followed by a research project and dissertation.
Semesters 1 and 2 include 60 credits each of a mixture of compulsory and optional courses.
The research project and dissertation are also worth 60 credits, giving a total of 180 credits for the year.
The program is designed to provide training in statistics, Python, R programming, and data analysis, all tailored specifically to biological examples. Teaching is through lectures, tutorials, seminars, computer practicals, and lab demonstrations.
Compulsory courses
- Statistics and Data Analysis
- Biological Databases
- Using R for Data Science
- Introduction to Python Programming for Data Science
- Research Project Proposal
- Project Dissertation
Research Project
Your research project is a key element in deciding how your career should develop further and is carried out independently during the summer.
Working under the guidance of a supervisor from one of our world-leading laboratories you will present your results in a dissertation.
A wide range of projects is available through both the School of Biological Sciences and from other University of Edinburgh schools and from industry.
Program Outcome
By completing this program, you will:
- Acquire a set of skills necessary for the analysis and interpretation of complex biological data (these skills may be sufficiently generic so that they can be applied across multiple different types of data)
- Acquire skills that might be used to make new discoveries from data
- Learn how to develop new software and database components using a variety of programming languages
- Learn how to interpret existing scientific literature and design experiments
Program Tuition Fee
Career Opportunities
This program will equip you with the quantitative skills that employers are looking for in:
- Programming
- Statistics
- Data analysis and interpretation
As a Data Science for Biology MSc graduate, you will have a wide range of career options. You might work in:
- Industry
- A diverse range of bioscience companies
- Academic labs
Our Careers Service will support you throughout your time studying with us and for 2 years after graduation. They can provide:
- Tailored advice
- Individual guidance and personal assistance
- Internship and networking opportunities (with employers from local organizations to top multinationals)
- Access to the experience of our worldwide alumni network