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Economics and Data Analytics with Foundation Year BSc

The Economics and Data Analytics with Foundation Year BSc is a 4-5 year course designed for students who do not meet the traditional entry requirements for the BSc in Economics and Data Analytics. This foundation year degree provides a pathway to studying economics and data analytics at the University of Leicester.

Course Description

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 students to apply methods of data analysis and exploit large datasets to gain a better understanding of the real-world applicability of economic concepts and ideas.

Entry Requirements

• A-levels: BCC, with points equivalent from the best three A-levels considered
• GCSE: Grades B/5 in Maths and C/4 in English
• BTEC Extended Diploma: DMM
• International Baccalaureate: Pass diploma with 26 points minimum, including appropriate Maths and English content if not held at GCSE
• Access to HE: Pass diploma with 24 distinctions in a business-related subject

English Language Requirements

IELTS 6.5 or equivalent, with the requirement for students whose first language is not English to provide evidence of their English language ability.

International Qualifications

Equivalent qualifications from various countries are considered, with scholarships and additional requirements available for international students.

Fees and Funding

UK Students

• Foundation Year: Ł5,760 (2026 start)
• Subsequent years: Tuition fees for subsequent years of the degree will be charged at the standard undergraduate rate set by the UK Government, expected to be Ł10,050 for the 2027/28 academic year, subject to Parliamentary approval.

International Students

• Foundation Year: Ł17,750 (2026 start)
• Subsequent years: Tuition fees for subsequent years of the degree will be charged at the standard undergraduate rate for the course, based on the year the student first started their foundation year, currently Ł20,200 per year.

Careers and Employability

The course is designed to provide students with a strong set of skills in data analytics, making them highly employable in various sectors, including economic research, statistical forecasting, financial services, and industry. The University's Careers and Employability Service offers support, including career events, industry speakers, and bespoke advice, to help students achieve their graduate ambitions.

Course Structure

The course consists of a foundation year, followed by three years of study in economics and data analytics, with the option of a year abroad or a year in industry.

Foundation Year

• Core modules: Succeeding at University, Introduction to the Business Environment, Introduction to Accounting and Business Operations, Skills for your successful future, Extended Project
• Subject pathway modules: Maths for Economics and Finance, Economics and Finance Foundations

Year 1

• Modules: Contemporary Issues in Economics, Finance and Business, Microeconomics, Maths for Economics 1, Statistics for Economics, Macroeconomics, Maths for Economics 2, Introduction to Economic Data Analysis, Contemporary Issues in Economics, Finance and Business 2

Year 2

• Core modules: Introductory Econometrics, Methods for Data Analytics 1, Intermediate Microeconomics, Intermediate Macroeconomics, Topics in Applied Econometrics, Methods for Data Analytics 2
• Option modules: Choose two from Principles of Finance, Firms, Markets and Welfare, Money and Central Banking, Labour Economics, Environmental and Resource Economics

Year Abroad or Year in Industry (optional)

Students can opt for a year abroad or a year in industry, which provides valuable work experience and the opportunity to apply theoretical knowledge in a practical setting.

Final Year

• Core modules: Data Analytics in Practice, Economic Forecasting, Reflective Project
• Option modules: Choose three from a range of advanced modules, including Financial Derivatives, Mathematical Finance, Advanced Microeconomics, Advanced Macroeconomics, Industrial Economics, Managerial Economics, Economics of Health, Economics of Education, International Finance, Public Economics, Behavioural Economics, Corporate Finance

Teaching and Learning

A variety of teaching methods are used, including lectures, seminars, and independent learning. Assessment methods include individual essays, examinations, presentations, and group activities.

Academic Support

The University's AccessAbility Centre offers support and practical help for students with dyslexia or other specific learning difficulties. The teaching team consists of experienced academics whose expertise and knowledge are closely matched to the content of the modules on the course.