Fundamentals of Graduate Economics and Finance

All Summer Schools

Download Brochure

Watch Webinar

Student Diary

Get in touch

Apply Now

Understand Key Concepts

World Class Programme

Certificate of Attendance

Network with Economic Peers

Accepting applications now!

Duration: 6 days

2026 Dates: 22 - 26 June 2026

Location: Online and Oxford

Fees: In-person: £2,800 / Online: £1,960

Are you considering a graduate programme in Economics, but feeling uncertain about your foundational maths and quantitative skills?

Our Fundamentals of Graduate Economics and Finance Summer School will equip you with the fundamental tools you need to succeed. In just one week, our expert Oxford faculty will guide you through key concepts and techniques that form the backbone of many graduate-level courses in Economics.

Join us in Oxford for an immersive programme that includes a welcome reception, college formal dinner, and exclusive social activities and tours - the perfect opportunity to network and experience Oxford’s academic life firsthand.

The course also features Faculty Research Inspiration Sessions - talks by Oxford faculty - are designed to ignite your research interests and help undergraduate students shape a compelling Statement of Purpose. Additionally, the programme offers graduates and professionals insights into recent economic advancements, keeping you updated with the latest developments in the field.

Join us in Oxford or Online for a unique and enriching experience. On successful completion of the programme, you will receive a PDF version of a certificate of completion. By the end of the course, you'll have a strong foundation in the essential skills of mathematics and econometrics, and the confidence to take the next step in your studies or career. Don't miss this chance to explore the world of Economics with some of the brightest minds in the field!

Download the Brochure

James Duffy

Associate Professor of Economics

,

Corpus Christi College

Inés Moreno De Barreda

Associate Professor of Economics

,

St Peter's College

Rigorous preparation in quantitative skills and opportunities to connect with faculty while enjoying the city of Oxford together.

Flora, 2025 Participant

It was an enlightening week, full of unique insights into graduate studies.

Irlanda, 2025 Participant

Everything is Perfect - Activities, Lectures, Exercises, Instructors, Classmates, Location!

Ziwen, 2024 Participant

It's a good chance to enhance math and statistical skills, make friends and practise networking skills! Strongly recommended!

Yaxin, 2024 Participant

Introduction to Econometrics:

Objective: To introduce students to two of the fundamental statistical methods used in applied economic research: regression analysis and instrumental variables.

Statistical Inference Introduction: Learn about economic theories from data. Introduction to hypothesis testing, confidence intervals, and uncertainty measurement.
Linear Regression Introduction: Understand causal effects in observational data. Utilise linear regression for disentangling multiple influencing factors.
More on Regression: Inference and Nonlinearities: Enhance precision in regression estimates through inference methods. Extend the model to account for nonlinear relationships. Application example: University and degree choices' impact on mid-career earnings.
Dealing with Endogeneity: Address limits and challenges of linear regression in estimating causal effects. Discuss issues like unobserved factors and reverse causation (endogeneity). Solutions using randomised control trials. Application example: Effect of class size on test scores.
Introduction to Instrumental Variables: Explore instrumental variables as an alternative method for estimating causal effects when regression may fail. Application example: Returns to schooling.

Introduction to Mathematical Methods:

Objective: This course will introduce students to elements of mathematical analysis and of probability theory with a special emphasis on methods that are important in economics.

Structure: Divided into mathematical analysis and probability theory sections.
Mathematical Analysis Topics: Logic, proofs, sets, relations, functions, sequences and limits, continuity, and differentiability. Emphasis on understanding key results and their application to economic questions, with examples from decision theory and game theory.
Probability Theory Topics: Probability axioms, independence, conditional probability, Bayes’ rule, discrete and continuous distributions, expectations, moments, correlation, law of large numbers, and central limit theorem. Examples cover decisions under risk and risk mitigation.

Course delivery:

The Summer School will be held in-person at the Department of Economics in Oxford.
Lectures will be held in the morning followed by tutorials in the afternoon.

2026 Course Dates: 22 - 26 June 2026.

Fees:

In-person: £2,800 (Early-bird price: £2,520)
Online: £1,960 (Early-bird price: £1,764)

Who can attend:

This course is designed for undergraduate students with a mathematics A-level who are considering a graduate programme in Economics, as well as early-stage graduate students who want to reinforce their foundations.

Accommodation:

While the course fees do not include accommodation, our dedicated team are ready to help you book hotel and college accommodation in Oxford.
Please contact summerschools@economics.ox.ac.uk for help and assistance in arranging accommodation in Oxford. Please get in touch if you have any questions!