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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.


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

Application codes

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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

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

Unistats information

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Student satisfaction
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The student satisfaction data is from students surveyed during the Covid-19 pandemic. 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

Additional fee information

The tuition fee for home students is reviewed annually and for the academic year 2024/5 it is £9,250. The fees for following years have not yet been decided but are likely to increase each year in line with inflation, subject to government regulations. The inflation rate used will be RPIX, which includes all the items in the Retail Price Index, excluding mortgage payments. For your information, the inflation rate used by the Government when increasing the tuition fee from £9,000 to £9,250 was 2.8%. Fees for international students can be found on the individual course pages. For further information about fees and funding please see the following page of the University website:
Economics and Data Analytics at University of Leicester - UCAS