Sol Plaatje University

Bachelor of Science Honours in Data Science

Physical, Mathematical, Computer and Life Sciences - Mathematical Sciences

Purpose and Rationale

Purpose:

The Bachelor of Science Honours in Data Science is the first Postgraduate Degree qualification that follows on a Data Science curriculum at an undergraduate level. It will provide students with a knowledge base, theory and practice of Data Science with specific reference to data collection, analytics and visualisation coupled with respective algorithm development.

The purpose of this qualification is to:

  1. Produce qualifying learners who have a systematic and coherent body of knowledge and an understanding of underlying concepts and principles of Data Science; the ability to access and evaluate scientific information including knowing how scientific knowledge is created; a high level of cognitive and other generic skills including problem-solving, written and spoken communication and computer literacy; and competence in applying knowledge through basic research methods and practice.

  2. Provide every qualifying learner with a sufficient depth of knowledge and skills that give opportunities for continued personal intellectual growth in a Postgraduate study, for gainful economic activity in a range of careers associated to data science, and for rewarding and constructive contributions to society.

  3. Provide society with qualifying learners who demonstrate initiative and responsibility, who are professional and ethical in their roles within the economy and society, and who are able to be intellectual leaders within their society.

  4. Produce qualifying learners in order to increase, widen and transform the leadership base in South Africa, both for innovation and science-based economic and research development, and for the education of future generations of scientists, technologists, engineers and other professional people.

Rationale:

The challenges of digital transformation can also be attributed to lack of skills and knowledge to efficiently transform data science and its technologies. A recent report on a survey by Gartner indicate that 59% Information Technology (IT) professionals believed that their organisations were not ready to meet the challenges of digital revolution due to shortage of technical skills.

The introduction of a Bachelor of Science Honours Degree in Data Science will address a critical skills shortage in the country and will provide access to learners to an advanced area of study in a critical contemporary discipline. The programme has been carefully designed to specifically focus on computing structures that support large scale computing challenges.

Qualifying learners will contribute immensely in solving analytically complex problems in real life settings such as in industry, Government and other forms of organisations at national and international level.

Outcomes

  1. Demonstrate specialised knowledge within the Data Science discipline.
  2. Research literature and other available resources to gain a better insight in the topics at hand.
  3. Make decisions on ethical values and practices within the Data Science discipline.
  4. Communicate effectively regarding topics within the Data Science discipline.
  5. Demonstrate key scholarly skills through logical thinking and reasoning.
  6. Make an informed decision on the types of methods and techniques available to execute, analyse and report on a research topic within the Data Science discipline.
  7. Develop competence in reading and understanding, and critically appraising text/literature in the context they are written.
  8. Demonstrate competence in analytical thinking through the synthesis of information from relevant sources and applying them to real problems.
  9. Take responsibility for actions and decisions made.

Assessment Criteria

Associated Assessment Criteria for Exit Level Outcome 1:

  • Use terminology, concepts, principles, and theories in written and/or oral communication correctly.
  • Critically appraise the relationship among concepts and principles of Data Science discipline.
  • Apply knowledge effectively to propose solutions to problems in the field of interest within the Data Science discipline.

Associated Assessment Criteria for Exit Level Outcome 2:

  • Reflect explicit recognition of the diversity, complexity, and multi-dimensionality of a context and how it affects the work being undertaken.
  • Demonstrate the provision of relevant information pertaining to the strengths, weaknesses, and opportunities of the context for addressing specific problems.
  • Identify relevant role players and resources contributing to the resolution of specific problems.
  • Describe all relevant factors pertaining to the context and performances in these contexts and how they affect the work being undertaken.
  • Identify critical factors impacting practical problems from the perspective of the discipline.

Associated Assessment Criteria for Exit Level Outcome 3:

  • Know the ethical implications of various kinds of research and act accordingly.

Associated Assessment Criteria for Exit Level Outcome 4:

  • Apply reasoning skills by expressing own opinions clearly and coherently, justifying a position and presenting it logically, systematically using properly substantiated arguments.
  • Demonstrate awareness of audience and capability in using different modes of communication (oral and written) and discipline-specific conventions.
  • Utilize different techniques and strategies for communicating results.

Associated Assessment Criteria for Exit Level Outcome 5:

  • Demonstrate logical thinking, including identification of flawed reasoning in a text.
  • Demonstrate inductive and deductive thinking skills.
  • Demonstrate thinking and reasoning with self-reflexivity at the appropriate level.

Associated Assessment Criteria for Exit Level Outcome 6:

  • Identify a research problem.
  • Consult appropriate literature.
  • Select methodologies appropriate for addressing the research problem.
  • Undertake data collection, presentation, analysis, and interpretation of data.
  • Produce a written report of the research project, including findings, conclusions, and recommendations.

Associated Assessment Criteria for Exit Level Outcome 7:

  • Identify the central theme(s) of the essay.
  • Extract and explain competing arguments.
  • Provide a knowledgeable perspective to the debate.
  • Derive a conclusion that fills the gap.

Associated Assessment Criteria for Exit Level Outcome 8:

  • Structure the essay by showing understanding of the question and indicating the direction of the answer through laying out the subsections of the essay and their linkages with the overall theme.
  • Operationalize the topic by stating clearly the context in which its basic concepts and assumptions are to be evaluated in the essay.
  • Debate the subject matter by developing logically coherent arguments and citing illustrative examples.
  • Draw a conclusion consistent with the arguments raised in the essay and suggest possible outcomes of alternative initiatives at addressing the subject matter.
  • Present the essay according to appropriate and recommended word processing and referencing protocol.

Integrated Assessment:

  • Formulate and carry out a research project, report on it, and critically review current literature in the Data Science spectrum.
  • Ensure credibility in assessment through clear and rigorous procedures and practices, in keeping with the principles of fairness, validity, reliability, and practicability.
  • Use self-and peer assessment, formal examinations, written reports, creation and presentation of data science artifacts, and oral presentations for assessment.

Qualification Details

Type
Honours Degree
NQF Level
08
Min. Credits
120
SAQA Source
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Sol Plaatje University
Description
Sol Plaatje University is a public university located in Kimberley, South Africa. It was established in 2014 and named after Sol Plaatje, a prominent South African writer, intellectual, and political activist. The university offers a range of undergraduate and postgraduate programs in various fields, including education, humanities, natural and applied sciences, and commerce. It aims to provide quality education and contribute to the development of the Northern Cape province and the broader South African society. The university also emphasizes inclusivity, diversity, and social justice in its teaching, research, and community engagement activities.

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.