Bachelor of Science Honours in Computational Finance

Purpose

The purpose of the Bachelor of Science Honours in Computational Finance is to provide learners with the required theoretical and practical training needed to understand and implement mathematical financial models. The qualification is needed for entry into professional practice or management positions in the quantitative finance services industry.

The learner will be able to

• Understand the concepts and structure of financial Risk management.
• Evaluate organisational financial capacity to meet future demands.
• Use financial techniques to make investment decisions.
• Be adept at problem solving using numerical methods and relevant mathematical software. In particular solving boundary-value problems and partial differential equations.
• Have a working knowledge of Ito calculus and stochastic control.

Rationale

The qualification responds to the need for higher level quantitative and analytic skills in the finance and management sector. This qualification will be unique in the region in terms of combining Mathematics, Statistics and Finance in one Postgraduate qualification.

Recognition of Prior Learning

The institution conducts RPL in terms of the policy and guidelines of the institution in order to recognise other forms of formal, informal and non-formal learning and experience. In cases where learners do not comply with the formal admission requirements, the institution applies its RPL policy.

Entry Requirements

The minimum requirement is

• A Bachelor's Degree with Mathematics or Statistics as major, Level 7.

This qualification comprises of compulsory modules at Level 8 totalling at 120 Credits.

Compulsory Modules, Level 8, 90 Credits

• Research Project, 30 Credits.
• Financial Management, 15 Credits.
• Probability and Stochastic Processes, 15 Credits.
• Stochastic Calculus for Finance, 15 Credits.
• Principles of Management Accounts, 15 Credits.

Elective Modules, Level 8, 30 Credits (Select two modules)

• Financial Accounting, 15 Credits.
• Computational Linear Algebra, 15 Credits.
• Financial Engineering, 15 Credits.
• Time Series Analysis, 15 Credits.
• Financial Risk Management, 15 Credits.
• Simulation, 15 Credits.

1. Apply advanced theoretical principles of problem identification and solution in the Computational Finance field and reflect critically on the application thereof.
2. Plan and conduct a research project in the field of Computational Finance, including gathering, analysing, synthesising and interpreting information, utilising appropriate research principles, and reflect critically on the research undertaken.
3. Explore and apply different learning strategies to acquire advanced multidisciplinary capabilities in the Computational Finance field.
4. Communicate effectively orally and in writing by applying professional communication principles and reflecting critically on the application thereof in the Computational Finance field.
5. Utilise appropriate technology (computer software) effectively to solve complex problems in the Computational Finance environment.
6. Integrate managerial and cognate disciplines to develop an advanced theoretical and practical understanding of the international and national business environment.
7. Practise acceptable social sensitivity in the relationship with others and work effectively in a team by reflecting critically on the implementation thereof.
8. Practise responsible citizenship through a holistic approach to the application of professional ethics and values in the Computational Finance field (Promoting citizenship).

The following Associated Assessment Criteria applies across all the Exit Level Outcomes

• Apply calculations using computational tools efficiently and correctly and solutions obtained are verified in terms of the context.
• Use mathematics to investigate and monitor the financial aspects of personal, business and national issues.
• Use and analyse computational tools and strategies, and make estimates and approximations.
• Debate points are based on well-reasoned arguments and are supported by mathematical information.
• Use and analyse computational tools and strategies, and make estimates and approximations.
• Apply mathematical relationships and principles involved in computations.
• Use numerical methods to find approximate solutions to suitable equations.
• Establish the effect of measurement error on final values calculated.

Integrated Assessment

The Institution adopted a Continuous Assessment System. Assessment consists of a number assessment event throughout the year and a variety of assessment instruments are used (for example, tests, essays, computer programs, practical reports, project reports and oral presentations).