Course summary
Economic issues are fascinating but also very complex. The use of large datasets, together with insights from data science, can guide you through this complexity and give you an in-depth understanding of decision-making by governments, businesses and households. Economic events occupy the news, capture our attention and affect our lives on a daily basis. There is a wealth of data available, measuring a host of economic, financial, business and social indicators. This course will enable you to apply methods of data analysis and exploit large datasets to get a better understanding of the real-world applicability of economic concepts and ideas. It will also facilitate your pursuit of an active role in the economic decision making of organisations and businesses. We will foster your analytical abilities and critical appraisal skills, which are particularly useful transferable skills for graduate employment and will prepare you for a career in the public or private sector, whether that be in economic research, statistical forecasting, financial services or industry. Your time here will also equip you with the research techniques that are vital for postgraduate study. The first year of this course is shared with the following programmes: BSc Economics BSc Financial Economics and Banking BSc Business Economics BSc Economics and Accounting This means you have the option to switch to any of these other courses at the end of your first year. The close relationship between research and teaching is one of the great advantages of studying with us, and we welcome talented students from countries all over the world. Our staff are active researchers of international renown, and have acted as advisors and consultants to many international and national organisations. The School of Business has a dedicated research cluster on Data Analytics, offering advice and expertise on the data science aspects of the course. Following completion of the course you will have a good understanding of the main economic theories and models, but you will also have a very strong set of skills in data analytics. You will be able to use traditional econometric techniques and more innovative ones (machine learning, artificial intelligence, genetic algorithms, etc) to analyse the large datasets which are used to inform the process of decision making in a business environment or policy setting. These skills are highly sought after by big companies or public organisations such as the ONS, World Bank, regulators, etc.
Modules
For more information on this course and a full list of modules, visit the course information page on our website
Assessment method
For more information on the methods of assessment on this course, visit the course information page on our website
How to apply
This course is not accepting applications at this time. Please contact the provider to find out more.
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:
- LL15
- Institution code:
- L34
- Campus name:
- Main Site
- Campus code:
- -
Points of entry
The following entry points are available for this course:
- Year 1
- Year 2
Entry requirements for advanced entry (i.e. into Year 2 and beyond)
Contact the Admissions Team at [email protected] with details of the course you are studying including modules taken, previous qualifications obtained with grades (at GCSE and A level or equivalent), the reason for your transfer request.
Entry requirements
Qualification requirements
A level - ABB
Pearson BTEC Level 3 National Extended Diploma (first teaching from September 2016) - DDD
Access to HE Diploma - D: 30 credits
Scottish Higher
Pearson BTEC Level 3 National Diploma (first teaching from September 2016)
Pearson BTEC Level 3 National Foundation Diploma (first teaching from September 2016)
Pearson BTEC Level 3 National Extended Certificate (first teaching from September 2016)
Scottish Advanced Higher
International Baccalaureate Diploma Programme - 30 points
Welsh Baccalaureate - Advanced Skills Challenge Certificate (first teaching September 2015)
Extended Project
Leaving Certificate - Higher Level (Ireland) (first awarded in 2017)
Cambridge International Pre-U Certificate - Principal - D3, M2, M2
GCSE/National 4/National 5
T Level - D
When considering your application, we will look for evidence that you will be able to fulfil the objectives of the programme of study and achieve the standards required. We will take into account a range of factors including previous examination results.
Please click the following link to find out more about qualification requirements for this course
https://le.ac.uk/courses/economics-and-data-analytics-bsc/2024
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
Channel Islands | £9250 | Year 1 |
Republic of Ireland | £9250 | Year 1 |
England | £9250 | Year 1 |
Northern Ireland | £9250 | Year 1 |
Scotland | £9250 | Year 1 |
Wales | £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 Leicester
University Road
Leicester
LE1 7RH
Clearing contact details
Clearing Line
01163736000
Additional information
Thursday 15 August 7 am to 9 pm Friday 16 August 8 am to 7 pm Saturday 17 August 10 am to 4 pm Sunday 18 August 10 am to 4 pm From Monday 19 August open Monday to Friday 9-5 (Closed Monday 26 August)