12 monthsProgramme duration
29,450 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Medicine
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This programme is designed to equip students with the interdisciplinary knowledge and practical skills required to thrive in the rapidly evolving fields of data science with specialisms in either genomic or systems biology.
You will explore how biological data is generated, analysed, and interpreted using computational approaches, while gaining hands-on experience with real research datasets.
The programme aims to:
The programme is ideal for students from a bioscience, computational, or quantitative background who want to gain applied, career-ready skills for research and data-intensive roles in the life sciences.
You will explore how biological data is generated, analysed, and interpreted using computational approaches, while gaining hands-on experience with real research datasets.
The programme aims to:
- Develop your ability to manage, analyse, and interpret large-scale biological datasets in a reproducible and ethical manner.
- Build a strong foundation in computational and statistical methods as applied to contemporary problems in genomics, transcriptomics, and systems biology.
- Provide practical experience in solving authentic research problems using widely adopted bioinformatics workflows and big data pipelines.
- Support your development as an independent, collaborative, and reflective researcher prepared for academic, clinical, or industry roles.
- Embed Cardiff University’s graduate attributes by fostering critical thinking, communication, adaptability, and digital fluency.
The programme is ideal for students from a bioscience, computational, or quantitative background who want to gain applied, career-ready skills for research and data-intensive roles in the life sciences.
Programme overview
Main Subject
Medicine
Degree
MSc
Study Level
Masters
Study Mode
On Campus
This programme is designed to equip students with the interdisciplinary knowledge and practical skills required to thrive in the rapidly evolving fields of data science with specialisms in either genomic or systems biology.
You will explore how biological data is generated, analysed, and interpreted using computational approaches, while gaining hands-on experience with real research datasets.
The programme aims to:
The programme is ideal for students from a bioscience, computational, or quantitative background who want to gain applied, career-ready skills for research and data-intensive roles in the life sciences.
You will explore how biological data is generated, analysed, and interpreted using computational approaches, while gaining hands-on experience with real research datasets.
The programme aims to:
- Develop your ability to manage, analyse, and interpret large-scale biological datasets in a reproducible and ethical manner.
- Build a strong foundation in computational and statistical methods as applied to contemporary problems in genomics, transcriptomics, and systems biology.
- Provide practical experience in solving authentic research problems using widely adopted bioinformatics workflows and big data pipelines.
- Support your development as an independent, collaborative, and reflective researcher prepared for academic, clinical, or industry roles.
- Embed Cardiff University’s graduate attributes by fostering critical thinking, communication, adaptability, and digital fluency.
The programme is ideal for students from a bioscience, computational, or quantitative background who want to gain applied, career-ready skills for research and data-intensive roles in the life sciences.
Admission Requirements
6.5+
In order to be considered for an offer for this programme you will need to meet all of the entry requirements. Your application will not be progressed if the information and evidence listed is not provided.
With your online application you will need to provide:
With your online application you will need to provide:
- A copy of your degree certificate and transcripts which show you have achieved a 2.1 honours degree in a relevant subject area such as biological sciences, computing or mathematics, or an equivalent international degree. We can offer a level of flexibility for applicants. Those with a 2:2 honours degree will be considered on an individual basis.
- A copy of your IELTS certificate with an overall score of 6.5 with 6.5 in all subskills, or evidence of an accepted equivalent. Please include the date of your expected test if this qualification is pending. If you have alternative acceptable evidence, such as an undergraduate degree studied in the UK, please supply this in place of an IELTS.
- A personal statement which provides us with a deeper understanding of your motivations, skills, and experiences. The personal statement should address the following questions, which should be used as headings in your statement:
- What motivates you to apply for this course?
- How would you describe your computer literacy and what coding experience do you have?
- How would you describe your knowledge of statistics?
- How would you describe your knowledge of genomics, and systems biology?
- If you have previously applied for this course and were unsuccessful, describe what further experience you have gained which may strengthen your application.
1 Year
Sep
Tuition fees
Domestic
11,950 GBP
International
29,450 GBP
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