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4 Years On Campus Bachelors Program
Anglia Ruskin University Cambridge CampusThis degree apprenticeship combines bioinformatics and data science, equipping students with the skills to analyze complex biological data and solve real-world scientific problems. The program blends academic study with workplace experience, allowing students to apply computational methods, statistical analysis, and bioinformatics tools in professional settings.
Curriculum Structure
Year 1
Students gain foundational knowledge in biological sciences, programming, mathematics, and statistics. Laboratory and computer-based practicals introduce core bioinformatics techniques and data handling skills, providing a base for more advanced study.
Year 2
The second year focuses on intermediate bioinformatics and computational biology, including modules in molecular biology, genomics, data analytics, and software tools for biological research. Practical exercises emphasize independent data analysis and computational problem-solving.
Year 3
Students study advanced bioinformatics topics, including machine learning applications, systems biology, and computational modeling. Workplace projects and applied research exercises allow students to integrate academic knowledge with practical bioinformatics applications in industry settings.
Year 4
The final year is dedicated to an extended research or industry-based project, providing students with the opportunity to conduct independent investigations and develop professional competencies. Optional modules further enhance skills in data science, bioinformatics programming, and applied computational biology.
Focus Areas
The program emphasizes bioinformatics, computational biology, data science, genomics, and statistical analysis applied to biological and biomedical research.
Learning Outcomes
Graduates develop expertise in computational biology, bioinformatics tools, data analysis, and problem-solving. They are prepared for careers in biotechnology, pharmaceuticals, healthcare analytics, or further postgraduate study.
Professional Alignment (Accreditation)
The program aligns with professional standards for bioinformatics and data science, ensuring graduates are workplace-ready and meet industry expectations.
Reputation (Employability & Graduate Outcomes)
Anglia Ruskin University is recognized for its applied science and industry-linked programs. Graduates benefit from the apprenticeship structure, gaining practical experience alongside academic study, making them highly employable in bioinformatics, data science, biotechnology, and healthcare sectors.
This unique degree apprenticeship combines bioinformatics, data science, and real-world industry experience. Students learn to analyse complex biological datasets using computational and statistical techniques, gaining skills in programming, machine learning, and data visualisation, while simultaneously working within a partner organisation. The programme integrates academic learning with practical industry projects, preparing students for careers in bioinformatics, biotechnology, healthcare analytics, or further postgraduate study.
Experiential Learning Highlights:
Why This Programme Stands Out:
This degree apprenticeship uniquely combines in-depth bioinformatics training with hands-on industry experience. Graduates gain practical skills, professional competencies, and research experience, making them highly employable in biotechnology, healthcare analytics, and bioinformatics sectors, while also qualifying for potential postgraduate study.
Graduates gain expertise in bioinformatics, data analysis, computational biology, and machine learning applied to life sciences, preparing them for careers in biotechnology, healthcare data science, pharmaceutical research, and computational biology consultancy. Typical roles include Bioinformatics Analyst, Computational Biologist, Data Scientist, Genomics Researcher, and Clinical Data Analyst. Graduates are also well-prepared for postgraduate study in related fields.
Further Academic Progression
Degree apprenticeships are fully funded by your employer and the GovernmentEntry Requirements: Employment in a suitable role on a permanent contract exceeding 30 hours per weekEmployer support to undertake this courseConfirmed eligibility to be funded as an apprentice as set out within the ESFA’s Funding RulesA completed Skills Scan and Initial Assessment discussionAll applicants must hold a secondary education qualification equivalent to 96 UCAS points plus A level; Grade B (or equivalent) in at least one STEM subject (Maths desirable). Additionally, applicants must have Level 2 qualifications in 5 subjects including English and Maths or equivalent qualifications and meet age related English and Maths requirements as outlined by the DfE*Applicants who do not meet the above requirements will be considered on a case-by-case basis and may require an interview.There is a government requirement for apprenticeship candidates to present suitable GCSE/ Level 2 Maths and English (or equivalent) certificates to complete an apprenticeship.Bioinformatician – analyze biological data using computational and statistical toolsGenomic Data Analyst – interpret DNA RNA and protein sequence data for research and healthcareComputational Biologist – model biological processes and systems using software and algorithmsData Scientist in Life Sciences – apply data analytics to large scale biological datasetsBiomedical Research Assistant – support laboratory and computational research projectsSoftware Developer for Biomedicine – design tools and pipelines for biological data analysisGenetic Technologist – combine genetics and computational methods for researchClinical Data Analyst – manage and interpret clinical trial dataResearch Assistant – contribute to academic or industrial bioinformatics projectsFurther Study Candidate – progress to postgraduate degrees or professional research qualifications
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