BSc (Hons) Bioinformatics Genomics

3 Years On Campus Bachelors Program

University of West London

Program Overview

The BSc (Hons) Bioinformatics Genomics program at the University of West London is designed to prepare students for the rapidly evolving fields of computational biology and genomic science. The course combines biology, genetics, and molecular sciences with computer science, statistics, and data analytics to address the growing demand for professionals capable of handling and interpreting complex biological data.

Curriculum Structure

Year 1
The first year introduces students to the foundations of molecular biology, genetics, biochemistry, and computer programming. Students also gain initial training in statistics and data analysis, which provide the groundwork for bioinformatics applications.

Year 2
The second year develops intermediate knowledge in bioinformatics and genomics, with modules covering sequence analysis, molecular evolution, database management, and computational methods in biology. Students continue to advance their skills in programming and statistical modeling while applying bioinformatics tools to genomic data.

Year 3
The final year emphasizes advanced genomics, systems biology, and computational modeling. A substantial independent research project or dissertation allows students to apply their skills in real-world contexts. Specialist modules may include applied genomics, next-generation sequencing data analysis, and bioinformatics programming.

Focus Areas
The program focuses on bioinformatics, genomics, computational biology, molecular genetics, data analytics, and biostatistics, giving students the ability to analyze and interpret large-scale biological datasets.

Learning Outcomes
Graduates gain expertise in applying computational and statistical approaches to genomics and molecular biology. They develop strong problem-solving, research, and programming skills, preparing them for roles in bioinformatics, biotechnology, genomic medicine, pharmaceuticals, and academic research.

Professional Alignment (Accreditation)
The program is aligned with emerging industry and research demands in bioinformatics and genomics. Accreditation may be sought through relevant professional bodies, ensuring graduates meet recognized scientific and technical standards.

Reputation (Employability & Graduate Outcomes)
The University of West London emphasizes employability and practical skills. Graduates of this degree are well-positioned for careers in bioinformatics, biotechnology, healthcare analytics, and genomic research, or to pursue postgraduate studies in computational biology, data science, or genomics.

Experiential Learning (Research, Projects, Internships etc.)

The BSc (Hons) Bioinformatics Genomics programme blends molecular biology, computational science, and data analytics to prepare students for careers in genomics and biomedical research. The course focuses on the analysis and interpretation of large-scale genetic and genomic datasets, equipping students with the knowledge and technical skills to support advances in healthcare, biotechnology, and personalised medicine. Students develop expertise in bioinformatics tools, genome sequencing, and data-driven biological research.

Experiential Learning Highlights:

  • Practical Laboratory Work: Training in molecular biology, DNA sequencing techniques, and genomic analysis.
  • Bioinformatics & Computational Skills: Hands-on use of R, Python, and specialist bioinformatics software for genome annotation, sequence alignment, and data modelling.
  • Genomics-Focused Projects: Exposure to next-generation sequencing (NGS) technologies and their applications in clinical and research settings.
  • Independent Research Project: A final-year research project on bioinformatics or genomics, allowing students to conduct original analysis and develop professional research skills.
  • Industry Relevance: Curriculum designed with input from biomedical and healthcare experts to align with modern research and clinical practice.
  • Collaborative Learning: Team-based assignments integrating biology, computing, and statistics to solve real-world genomic challenges.
  • Professional Development: Emphasis on scientific communication, data presentation, and transferable skills essential for employment in research, healthcare, and biotech industries.
  • Access to Facilities: Students benefit from modern laboratories, computing suites, and access to genomic databases for applied learning.

Why This Programme Stands Out:
This degree provides a strong foundation at the intersection of biology and data science, a rapidly growing field in modern medicine and research. With a focus on genomics and bioinformatics applications, graduates are well-prepared for roles in biomedical research, pharmaceutical development, clinical genomics, and bioinformatics consultancy, or for progression to postgraduate study in related fields.

Progression & Future Opportunities

Graduates develop expertise in genomics, computational biology, and bioinformatics tools, preparing them for careers in genomic research, pharmaceutical development, biotechnology, healthcare informatics, and clinical genetics. Common roles include Bioinformatics Scientist, Genomics Data Analyst, Computational Biologist, Clinical Genomics Specialist, and Biomedical Data Consultant.

  • University Services That Support Your Career
    • UWL’s Careers and Employment Service provides one-to-one career coaching, CV/interview support, and employer networking.
    • Opportunities for placements and collaborations with biotech and healthcare partners.
    • Access to research projects and industry-relevant software training.
  • Employment Stats & Salary Figures
    • Graduates enter a fast-growing field of bioinformatics and genomics with strong demand in both academic and commercial sectors.
    • Typical starting salaries range from £26,000–£36,000, with progression to £45,000+ in specialist or research positions.
  • University–Industry Partnerships
    • Collaborations with healthcare providers, biotech companies, and research institutes.
    • Emphasis on real-world case studies and applied genomic data projects.
  • Accreditation & Long-Term Value
    • Degree designed to align with modern genomic medicine and bioinformatics industry needs.
    • Provides long-term career value in both academic research and applied industry roles.
  • Graduation Outcomes
    • Alumni work in genomics research labs, biotech firms, clinical data analysis, and bioinformatics consultancies.
    • Many pursue advanced study to specialize further in computational or molecular biosciences.

Further Academic Progression

  • MSc in Genomics, Bioinformatics, or Precision Medicine
  • MSc in Computational Biology or Systems Biology
  • PhD research in genomic medicine, big data in healthcare, or molecular bioinformatics
  • Professional pathways in clinical informatics, biotech data analytics, and personalized medicine research

Program Key Stats

£16,250 (Annual cost)
£ 29
Sept Intake : 14th Jan


Eligibility Criteria

BBC
2.8
28
65

1100
23
6.0
78

Additional Information & Requirements

Career Options

  • Bioinformatician – analyze and interpret biological and genomic data using computational tools
  • Genomic Data Analyst – work with DNA RNA and protein sequence data in healthcare and research
  • Biomedical Data Scientist – apply statistical and data science methods to biomedical datasets
  • Clinical Bioinformatics Specialist – support healthcare providers with genomic and clinical data interpretation
  • Computational Biologist – develop models and algorithms for studying biological systems
  • Pharmaceutical Data Analyst – contribute to drug discovery and precision medicine projects
  • Genetic Technologist – assist in applying bioinformatics in clinical or laboratory settings
  • Research Assistant – support academic or industrial bioinformatics and genomics projects
  • Software Developer for Bioinformatics – create tools and databases for biological research
  • Further Study Candidate – progress to masters or doctoral research in bioinformatics or genomics

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