Stellenbosch University

Bachelor of Science Honours in Bioinformatics and Computational Biology

Physical, Mathematical, Computer and Life Sciences - Life Sciences

Purpose and Rationale

Purpose:

The Bachelor of Science Honours in Bioinformatics and Computational Biology comprises of lectures/tutorials and practical research, with credits allotted at 58% and 42% (notional learning hours) respectively.

Rationale:

This qualification targets individuals with backgrounds in either computer science or biology, possessing qualitative talent and a desire to acquire statistical and computational skills to enhance their understanding of biology. It is an interdisciplinary program that merges knowledge from computer science, biochemistry, and genetics, essential for analyzing the vast datasets generated in current biological sciences.

The demand for Bioinformaticians is significant in South Africa, Africa, and globally due to the necessity of Bioinformatics expertise in handling big data in modern biology and life sciences. Growth projections estimate an annual increase of around 3% in Bioinformatics positions. In some US states, vacancies for bioinformaticians show the fastest growth rates among all careers according to www.recruiter.com/careers/bioinformatics-scientists/outlook/, accessed on 27 November 2017.

The institution aims to address this demand by offering training in the interdisciplinary field of bioinformatics. The high demand for this specialized qualification validates the necessity for its existence.

Outcomes

  1. Demonstrate an in-depth understanding of modern programming language (rules and construction) and the application thereof to Bioinformatics problems.
  2. Demonstrate an understanding of the theories, research methodologies, methods and techniques relevant to the field, and how to apply such knowledge through engagement in the Bioinformatics and Computational Biology field.
  3. Demonstrate the ability to produce and communicate information effectively.

Assessment Criteria

Associated Assessment Criteria for Exit Level Outcome 1:

  • Construct a solution to a problem as a series of programmatic steps.
  • Display sufficient knowledge of the Linux operating system for effective use.
  • Demonstrate effective programming skills in Python or a related language.
  • Develop and apply new programs to bioinformatics problems.
  • Discuss the relevance of computer programming in the broader Bioinformatics field.
  • Apply new methods to bioinformatics problems.
  • Apply relevant algorithms in bioinformatics programs.
  • Analyse the efficacy and applicability of algorithms in specific problem sets.

Associated Assessment Criteria for Exit Level Outcome 2:

  • Discuss fundamental biological topics in terms of cellular components and functions.
  • Discuss bioinformatics in the current state of the field.
  • Search and critically assess relevant publications.
  • Compare and synthesize information for coherent conclusions.
  • Identify and apply current methods and applications in research projects.
  • Display knowledge of different machine learning approaches.
  • Apply machine learning methods to bioinformatics problems.
  • Identify and explain major developments in bioinformatics.
  • Incorporate current developments into research projects.

Associated Assessment Criteria for Exit Level Outcome 3:

  • Access, read, and critically review bioinformatics publications.
  • Explain methods used in bioinformatics research and their relevance.
  • Communicate scientific concepts effectively.
  • Provide an account of current developments in machine learning.

Integrated Assessment:

  • Assessment through class tests, assignments, presentations, discussions, and examinations.
  • Research project under supervision with continual feedback.
  • Formative testing through discussions and meetings.
  • Summative assessment through a Research Report.
  • Demonstrate familiarity with relevant seminal papers.
  • Display understanding of research question importance and suitable work plan.
  • Apply methods and techniques to research question.
  • Assess data produced and make meaningful conclusions.

Qualification Details

Type
Honours Degree
NQF Level
08
Min. Credits
120
SAQA Source
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Stellenbosch University
Description
Stellenbosch University is a public research university located in Stellenbosch, South Africa. It is one of the oldest universities in the country, established in 1918. The university offers a wide range of undergraduate and postgraduate programs across various disciplines, including arts and social sciences, science, engineering, health sciences, and business. Stellenbosch University is known for its high academic standards and research output, with a strong focus on innovation and sustainability. It is also recognized for its multicultural and inclusive campus environment, attracting students from diverse backgrounds both locally and internationally.

This page includes information from the South African Qualifications Authority (SAQA) . Builtneat Pty Ltd trading as Study Start, has modified all or some of this information. SAQA has not approved, endorsed, or tested these modifications.