Applied Bioinformatics Cardiff University
| Award | Attendance | Study | Duration | Start | Domestic fees | International fees |
|---|---|---|---|---|---|---|
| MSc | On-Campus | Full-time | 1 years | September | find out | find out |
For tuition fee information, please visit our website.
Course overview
Gain practical skills in data science by analysing real-world biological data with tools used at the forefront of research, specialising in either genomics or systems biology.
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:
- 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.
Entry requirements for this course
Contact Cardiff University to find course entry requirements.
View foundation and pathway programmes to help you meet academic and language entry requirements.
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