BSc (Hons) Financial Management* Course Structure

At the end of this module the student will be able to:

1. Identify and apply appropriate data collection tools and techniques for central location and dispersion measures in analysis of business data and information.
2. Apply regression, correlation and time series forecasting in prediction of business relevant inputs for planning and designing solutions.
3. Compute probability and utilize hypothesis test for single and two population variables.
4. Demonstrate the application of linear programming in business decision.

At the end of this module, students should be able to:

1. Demonstrate understanding of basic financial tools appropriate for decision making and apply such tools in decision making.
2. Explain the concept of the time value of money in a business and financial context.
3. Compute the present and future values.
4. Prepare report inputs using the tools of finance such as discounting, compounding, annuities and perpetuities and outline their features.

At the end of this module, student should be able to:

1. Analyse the macroeconomic environment of business and evaluate their impact on business.
2. Compute measures of inflation
3. Explain the concept of national income and discuss the methods used in measuring a countries output.
4. Outline issues in labour market, unemployment, taxation and government spending and assess their impact on business at a fundamental level.