Course summary
Achieve a grounding in economic theory and explore the different statistical approaches needed to analyse complex financial data. During this course, you’ll develop your understanding of the tools and key theories within economics and mathematics. You'll use these skills to analyse contemporary problems and policy. Mathematics is the foundation of economic analysis. By learning how mathematical language enables the development of economic and financial theory, you’ll develop the skills needed to analyse complex financial data. In Year 1, you'll learn about key concepts in microeconomic and macroeconomic theory. This will help you develop your skills in mathematical and statistical theory and applications. During Year 2, you'll take part in more advanced study of economic theory, mathematics and statistics, and acquire a deeper understanding of economic relationships. In your final year, you will select from a wide range of optional units. This will give you the freedom to focus on your interests and career ambitions. These units will broadly cover advanced topics in economics and mathematics. Throughout this course, you’ll explore mathematical methods and techniques such as algebra, analysis, probability and statistics. You’ll also learn the programming skills to implement computational modelling and analysis in economic contexts. You’ll learn from teaching staff with diverse backgrounds and expertise in different areas of economics. Their passion, knowledge and research shape their teaching with the aim of enhancing your learning experience. You’ll have access to some of the latest industry-standard statistical, mathematical and econometric software. This will allow you to access up-to-the-minute data on real-world trends to enhance your learning experience. We work to provide you with the tools and support to prepare you for employment and further study. These include:
- critical and analytical thinking
- quantitative skills to apply to real-world economic challenges
- presentation and communication skills
- adaptability and resilience
- Prepare for your future career
How to apply
This is the deadline for applications to be completed and sent for this course. If the university or college still has places available you can apply after this date, but your application is not guaranteed to be considered.
Application codes
- Course code:
- D120
- Institution code:
- B16
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
Entry requirements
Qualification requirements
UCAS Tariff - Not accepted
A level - A*AA
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - Not accepted
Access to HE Diploma - Not accepted
Scottish Advanced Higher - AA
International Baccalaureate Diploma Programme - 36 points
AQA Level 3 (Foundation) Technical Level (360 glh) - Not accepted
AQA Level 3 Technical Level (540 glh) - Not accepted
AQA Level 3 Technical Level (720 glh) - Not accepted
AQA Level 3 Technical Level (1080 glh) - Not accepted
GSCE requirements GCSE English grade C or 4 (or equivalent from English language category C).
Student Outcomes
The number of student respondents and response rates can be important in interpreting the data – it is important to note your experience may be different from theirs. This data will be based on the subject area rather than the specific course. Read more about this data on the Discover Uni website.
Fees and funding
Tuition fees
England | £9250 | Year 1 |
Northern Ireland | £9250 | Year 1 |
Scotland | £9250 | Year 1 |
Wales | £9250 | Year 1 |
Channel Islands | £9250 | Year 1 |
Republic of Ireland | £9250 | Year 1 |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
University of Bath
Claverton Down
Bath
BA2 7AY