- A group project assessing learning outcomes 1, 2, 4, 5, 6 (Semester II, 40%)
- An individual exam assessing learning outcomes 1, 2, 3, 5 (Semester II, 60%)

Mathematics:

- Introduction to algebra
- Graphical representation of linear functions
- Equilibrium Analysis
- Non-linear equations
- Mathematics of finance: Percentages, compound interest, geometric series
- Differentiation and its applications in Economics
- Partial differentiation
- Unconstrained and constrained optimisation
- Basic matrix algebra

Quantitative Data Analysis:

Important concepts in statistical data analysis
Types of data and scales of measurement
Summarising data in graphs
Measures of central tendency
Measures of dispersion
Probability
Normal distribution
Sampling distributions
Confidence Interval estimation
Hypothesis Testing: Testing for the single population parameter
Hypothesis Testing: Testing for two population parameters

1. Use mathematical and data analysis tools necessary for a quantitative analysis in economics and business
Knowledge & understanding
Application

2. Transform business and economic problems into mathematical models
Application
Problem solving

3. Solve for a system of equations and optimisation problems
Analysis

4. Perform exploratory data analysis
Analysis

5. Derive inferences about the population of interest
Problem solving
Analysis

6. Demonstrate an ability to collaborate with team members
Reflection
Communication

The learning strategy for the module requires students to commit 300 learning hours (including assessment). This will include 72 hours of scheduled teaching and learning activities and 228 hours of independent and self-directed study.

The class sessions will include formal lectures, case study analysis and group discussions based on student experiences in the subject area. Students will be encouraged to integrate their work based experience with new knowledge and skills developed in the classroom as the module progresses.

A range of resources including, university library and IT facilities, the Internet, journals and databases, an appropriate data analysis software

- Barrow, Michael (2013) Statistics for Economics, Accounting and Business Studies, 6th ed., Pearson.
- Jacques, Ian (2012) Mathematics for Economics and Business, 7th ed. Pearson.
- Taylor, Sonia (2007) Business Statistics for Non-Mathematicians, 2nd ed., Palgrave MacMillan.