Economics and Statistics

Economics and Statistics at University College London offers an intensive and comprehensive curriculum designed to equip students with a deep understanding of economic theories, quantitative methods, and statistical techniques. This interdisciplinary programme prepares graduates for diverse career paths in finance, public policy, research, and academia. Throughout the course, students engage with both microeconomic and macroeconomic principles, gaining analytical skills to interpret complex economic data and develop effective solutions to real-world issues. The programme emphasizes the importance of rigorous statistical analysis, fostering proficiency in data collection, management, and interpretation, which are essential skills in today's data-driven environment. Students benefit from learning the latest statistical software and programming languages, enabling them to perform sophisticated analyses and simulations. The programme's structure includes core modules such as Principles of Economics, Quantitative Methods, and Statistical Inference, complemented by optional courses allowing specialization in areas such as Development Economics, Financial Economics, or Actuarial Science. The faculty comprises leading experts in their fields, providing students with cutting-edge knowledge and research opportunities. UCL's central London location also offers unrivalled access to financial institutions, government departments, and research organizations, enriching students' practical experience through internships, workshops, and networking events. The programme culminates in a final-year project where students apply their acquired skills to analyze real datasets, develop economic models, or conduct policy evaluations. Graduates of this programme are well-prepared for further academic study, such as MSc or PhD programs, or for entry into competitive roles in industry, consultancy, or government. With a strong emphasis on analytical thinking, quantitative skills, and economic literacy, the BSc in Economics and Statistics at UCL aims to produce innovative thinkers capable of addressing complex societal challenges through evidence-based insights.

In each year of your degree you will take a number of individual modules, normally valued at 0.5 or 1.0 credits, adding up to a total of 4.0 credits for the year. Modules are assessed in the academic year in which they are taken. The balance of compulsory and optional modules varies from programme to programme and year to year. A 1.0 credit is considered equivalent to 15 credits in the European Credit Transfer System (ECTS).

This BSc is a joint degree programme taught in conjunction with UCL Economics. A first-year combination of statistics, economics and mathematics is followed by a roughly equal mix of statistics and economics modules (including econometrics) over years two and three. In the third year in particular, there is considerable flexibility in the range of options available in both economics and statistics.

Year 1

Core or compulsory module(s)

Economics I (Combined Studies)
Introduction to Practical Statistics
Introduction to Probability and Statistics
Further Probability and Statistics
Mathematics for Students of Economics, Statistics and Related Disciplines I
Mathematics for Students of Economics, Statistics and Related Disciplines II

Optional modules

Either Applied Economics or The World Economy

Year 2

Core or compulsory module(s)

Economics II (Combined Studies)
Linear Models and the Analysis of Variance
Mathematics for Students of Economics, Statistics and Related Disciplines III
Probability and Inference
Quantitative Economics and Econometrics

Optional modules

Either Introduction To Applied Probability or Social Statistics

Year 3

Core or compulsory module(s)

All final year modules are optional

Optional modules

You will select 4.0 credits from a wide range of options in UCL Economics and UCL Statistical Science. Options may include:
Bayesian Methods in Health Economics
Econometrics for Macroeconomics and Finance
Economics of Finance
Environmental Economics
Forecasting
Game Theory
Medical Statistics I
Medical Statistics II
Money and Banking
Optimisation Algorithms in Operational Research
Quantitative Modelling of Operational Risk & Insurance Analytics
Social Statistics
Stochastic Methods in Finance I
Stochastic Methods in Finance II

A levels

Grades

A*AA-AAA

Subjects

A* in Mathematics or AA in Mathematics and Further Mathematics required.

GCSEs

English Language and Mathematics at grade C. For UK-based students, a grade C or equivalent in a foreign language (other than Ancient Greek, Biblical Hebrew or Latin) is required. UCL provides opportunities to meet the foreign language requirement following enrolment, further details at: www.ucl.ac.uk/ug-reqs

IB Diploma

Points

38-39

Subjects

A score of 18-19 points in three higher level subjects including grade 7 in Mathematics, with no score lower than 5.

The English language level for this programme is: Good

The financing of the Economics and Statistics program at University College London (UCL) is designed to provide students with a comprehensive understanding of funding opportunities and financial support options available throughout their studies. UCL offers a range of scholarships, bursaries, and financial aid packages to both domestic and international students enrolled in this program. Tuition fees vary depending on the student's nationality and residency status, with UK, EU, and international students potentially facing different fee structures. For the academic year, tuition fees for home students are set by the UK government, while international students are charged at a higher rate which reflects the program's value and the university's investment in quality education.

Students are encouraged to explore UCL's multiple scholarship programs, such as the UCL Global Scholarships, which support outstanding students with high academic achievements and financial need. Additionally, there are external funding options, including government loans, grants, and sponsorships from private organizations and foundations. The university also provides guidance on applying for external funding sources, including government-sponsored financial aid and industry-sponsored scholarships.

Work-study and part-time employment opportunities are available on-campus and off-campus, allowing students to supplement their income and gain valuable work experience. UCL’s Careers Service actively supports students in securing part-time positions, internships, and placement opportunities relevant to their field of study, which can significantly alleviate financial burdens.

For international students, additional funding options include specific scholarships aimed at supporting students from abroad, as well as advice on managing living costs and securing visas. The university’s Financial Aid Office provides tailored advice and resources to help students plan their finances effectively during their studies.

In conclusion, the financing of the Economics and Statistics program at UCL incorporates a variety of funding avenues, including scholarships, loans, external grants, part-time work, and financial planning support, all aimed at ensuring students can focus on their academic and professional development without undue financial stress.

The BSc Economics and Statistics at University College London offers students a comprehensive education combining core principles of economic theory with advanced statistical techniques. This interdisciplinary program is designed to prepare graduates for careers in finance, government, research, consultancy, and various sectors that require analytical and quantitative skills. The curriculum typically includes modules on microeconomics, macroeconomics, econometrics, statistical inference, data analysis, and applied economic policy. Students gain practical experience using modern statistical software and data analysis tools, equipping them with hands-on skills essential for tackling real-world economic problems.

Throughout the course, students are encouraged to develop critical thinking, quantitative reasoning, and a solid understanding of economic models and their applications. The program emphasizes empirical research methods, enabling students to collect, analyze, and interpret data effectively. In addition to the core modules, students can often choose from a range of electives allowing specialization in areas such as development economics, financial economics, or public policy.

The teaching approach combines lectures, seminars, tutorials, and independent study, fostering a collaborative learning environment. Assessment methods typically include written exams, coursework, data analysis projects, and presentations. The program benefits from UCL's extensive academic resources, including access to vast economic and statistical databases, research centers, and expert faculty members renowned in their fields.

Students also have opportunities for internships, summer research projects, and visiting speakers, enriching their academic experience with real-world insights. The university’s location in London provides additional advantages, offering proximity to financial institutions, government agencies, think tanks, and international organizations. Graduates of this program often find employment in data analysis, economic research, financial services, government departments, international organizations, or pursue postgraduate studies to advance their expertise further. The program aims to produce analytical thinkers capable of applying economic and statistical knowledge to solve contemporary economic issues efficiently and innovatively.