Bachelor of Science Honours in Mathematics

Purpose

This qualification is for learners who want to proceed with Mathematics beyond the Undergraduate level, for the purpose of teaching and other relevant professions. In addition, for learners who intend pursuing higher research Degrees, the deeper level of knowledge provided in the qualification is essential for future research.

Rationale

This qualification provides an initial Postgraduate training and is therefore important for developing skills for the country.

Recognition of Prior Learning (RPL)

As per Nelson Mandela Metropolitan University (NMMU) RPL policy.

Entry Requirements

The minimum entry requirement for this qualification is

• Bachelor's Degree with either Mathematics or Applied Mathematics as a major subject.

The qualification consists of compulsory and elective modules at Level 8 totalling 126 Credits

Compulsory Modules: 102 Credits

• Abstract Algebra (MATH422) Level 8, 24.
• Functional Analysis (MATH421) Level 8, 24.
• Topology (MATH415) Level 8, 24.
• Project (MATH430) Level 8, 30.

Elective Modules (Choose One): 24 Credits

• Measure and Integration Theory (MATH413) Level 8, 24 Credits.
• Capita Selecta (MATH417) Level 8, 24 Credits.
• Modern Applied Algebra (MATH420) Level 8, 24 Credits.

1. Demonstrate critical understanding of the theory, research methodologies and techniques relevant to Statistics.
2. Demonstrate ability to relate theory to practice and vice versa.
3. Demonstrate ability to analyse complex problems and synthesise.
4. Demonstrate ability to independently evaluate quantitative data.
5. Demonstrate ability to present and communicate the results of the research to peers as well as general audience.

Associated Assessment Criteria for Exit Level Outcomes

1. Demonstrate a coherent and critical understanding of the theory, research methodologies and techniques relevant to Mathematics.
2. Relate theory to practice and vice versa and think epistemologically.
3. Identify, analyse and deal with complex problems and issues drawing systematically and creatively on the theory, research methods and literature.
4. Apply advanced information retrieval and processing skills to identify, critically analyse, synthesise and independently evaluate quantitative data.
5. Undertake a study of the literature and current research in Statistics.
6. Produce a relevant research report under supervision, which meets the standards of scholarly/professional writing.
7. Demonstrate ability to present and communicate the results of the research to a general Mathematical audience.

Integrated Assessment

Assessment methods for this qualification include presentations, tutorials, practical, test assessments and written examinations. Written examinations are assessed internally by the course lecturer and thereafter externally moderated. Formative feedback is given when the project supervisor provides written feedback on pre-submission drafts of the project. Staff and learners provide additional formative assessment during student presentations. Summative assessment is conducted after completion of the project. The candidate will submit a written report on the project. The supervisor, followed by an independent external moderation process, will assess this project internally. A final assessment mark is given after completion and submission of the research project.