Bachelor of Science Honours in Mathematics

Purpose

The primary purpose of this qualification is to develop the intellectual, practical and analytic skills of the learner in order to enable the learner to independently read, analyse, formulate, interpret, understand, communicate and apply Mathematics. The qualification prepares learners for a Career in a mathematically oriented field and provides a basis for further post graduate studies in Mathematics.

Rationale

The qualification is a specialisation in the field of Mathematics to prepare the learners for research based post graduate study. The qualification serves to consolidate and deepen the learner's expertise in Mathematics and to develop research capacity in the methodology and techniques of Mathematics. This qualification demands a high level of theoretical engagement and intellectual independence. The Degree demands a high level of theoretical engagement and intellectual independence, and serves as the initial science postgraduate specialisation qualification providing students with in-depth scientific knowledge and skills preparing them for research based postgraduate science study.

Recognition of Prior Learning(RPL)

Recognition of Prior Learning (RPL) is done in accordance with the institution RPL Policy. In cases of learners not complying with the formal entry requirements, RPL will be determined in accordance with the policy and guideline of the University concerning the recognition of other forms of formal, informal and non-formal learning and experience. Recognition takes place only where prior learning corresponds to the required National Qualifications Framework(NQF) level, and in terms of applied competencies relevant to the content and outcomes of the qualification. Through recognition of prior learning, learners may gain access on condition that they continue their studies at the institution.

Entry Requirements

The minimum requirement is

• Bachelor of Science in Mathematical Statistics National Qualifications Framework(NQF) Level 7 Qualification.

This qualification comprises of compulsory modules at National Qualifications Framework(NQF) Level 8, totalling to 126 Credits.

Compulsory Modules, Level 8, 30 Credits

• Probability Theory, 12 Credits.
• Stochastic Processes, 12 Credits.
• Time Series Analysis, 12 Credits.
• Statistical Inference, 12 Credits.
• Project, 30 Credits.
• Design and Analysis of Experiments, 12 Credits.
• Derivative Securities 1, 12 Credits.
• Methods of Multivariate Analysis, 12 Credits.
• Non-Parametric Statistics, 12 Credits.

1. Identify, evaluate and address their own professional and on-going learning needs.
2. Demonstrate efficient and effective information retrieval and processing skills, using appropriate Information and Communications Technology(ICT).
3. Demonstrate a comprehensive, systematic and critical knowledge and understanding of the principles, scope, theories and epistemologies of Mathematics.
4. Evaluate their own and others academic work and initiatives against informed criteria.
5. Present and communicate ideas and texts, offering professional insights, interpretations and solutions to problems and issues appropriate to Mathematics.
6. Use science and technology in complex and challenging contexts and make autonomous ethical decisions on complex professional issues in accordance with recognised professional and/or ethical standards.
7. Critique current research and advanced scholarship in Mathematics and make research methodologies and methods/techniques to research problem/s in Mathematics.
8. Identify, analyse, synthesise and undertake independent evaluation of quantitative and/or qualitative data, and to engage with and evaluate current research and scholarly or professional literature in Mathematics.

The following Associated Assessment Criteria will be used in an integrated manner across the Exit Level Outcomes.

• Analyse, interpret, solve, implement and evaluate mathematical problems on an appropriate level in terms of the underlying mathematical theory; make logical conclusions which he or she can mathematically motivate.
• Work effectively with other members of his or her class on solving mathematical problems on an appropriate level and reflect on their group activities.
• Demonstrate the ability to organise and manage responsibly and effectively his/her learning activities and time.
• Collect, analyse and organise suitable literature on a mathematical subject (suitable for the level of the qualification) and consolidate it with previous mathematical knowledge.
• Show that he or she is able to communicate Mathematics effectively and logically, using visual, mathematical and natural language in written and oral form.
• Use the available computer technology, effectively, safely and responsibly for studies when required.
• Demonstrate the ability to see the possibility of application of mathematical theories (studied in the modules required for the qualification) to other fields.
• Explore, apply and reflect on a variety of learning strategies on studying the Mathematics of the modules required for the qualification.
• Participate as a responsible citizen in his or her local and national community by applying the cognitive skills, values and attitudes acquired by doing Mathematics on the level of this qualification.
• Be sensitive to the role of Mathematics and mathematicians in cultural and aesthetic activities.
• Explore the Career opportunities obtained via the qualification within the field of Mathematics and related fields.
• Explore the entrepreneurial opportunities obtained via the qualification within the field of Mathematics and related fields.

Integrated Assessment

The qualification is coherently aligned in that all teaching, learning and assessment activities are linked to module and qualification outcomes. Assessment methods are varied and includes summative and formative assessment to enhance applied competence from learners and facilitate authentic assessment and learning. Assessment will not only be used to determine whether outcomes were achieved, but also to generate data for grading and provide feedback in order to improve the curriculum. For all the assessment purposes to be achieved essays, computer-based assessments, theory tests, cases and open problems, practical and interpretative skills evaluation, reporting on practical and applications, presentations, analysis and problem solving assessment in the specific field of Mathematical Statistics as assessment methods.