Bachelor of Science in Applied Bioinformatics | Wits

APS Required

points

Duration

3 year(s)

Type

Bachelor's Degree

Delivery

Full-time

Details

The Bachelor of Science in Applied Bioinformatics at Wits sits at the intersection of biology, computer science, and statistics, training students to analyse large biological datasets including genomes, proteomes, and metabolomes. All applicants must write the National Benchmark Tests. The programme equips graduates to work in genomics research, drug discovery, precision medicine, and agricultural biotechnology, applying computational tools to biological questions. South Africa's genomics capacity — demonstrated through the rapid sequencing of the SARS-CoV-2 Omicron variant by South African scientists — highlights the growing importance of bioinformatics expertise on the continent.

English Home Language or English First Additional Language: Level 5
Mathematics: Level 5
APS: 43

Admission requirements
SubjectMinimumRequirement
English First Additional Language (NCV)80%Required
Mathematics (NCV)80%Required
Mathematics60%Required
English Home Language or English First Additional Language60%Required

Career Prospects

Bioinformatician – Analyses genomic, transcriptomic, and proteomic data for South African medical research institutions, pharmaceutical companies, and the National Bioinformatics Institute.
Computational Biologist – Develops mathematical models of biological systems for drug discovery and disease research at South African universities and biotechnology companies.
Clinical Data Analyst – Manages and analyses biological data from South African clinical trials and epidemiological studies, ensuring data quality and regulatory compliance.
Agricultural Genomics Specialist – Applies bioinformatics to crop improvement and livestock breeding programmes for South African agricultural research institutions and seed companies.
Genomics Researcher – Contributes to precision medicine and population genomics research in South Africa, supporting initiatives like the H3Africa consortium to understand disease in African populations.

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