Fundamentals of Graduate Economics Summer School Course
Oxford, United Kingdom
DURATION
5 Days
LANGUAGES
English
PACE
Part time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
Apr 2025
TUITION FEES
GBP 2,700 **
STUDY FORMAT
Distance Learning, On-Campus
* online program: 07-11 April 2025 | contact us for more information regarding application
** on-campus | online: £1,350
Free Online Webinar – September Summer School 2025
21 January 2025 (Tuesday) Time: 9:30am- 10:30am (GMT)
Introduction
- Online course: 7-11 April 2025
- On-campus course: 21-25 July 2025
Are you considering a graduate programme in Economics, but feeling uncertain about your foundational maths and quantitative skills?
Our Fundamentals of Graduate Economics 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.
But that's not all – we'll also supplement our course content with 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. 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 and career. Don’t miss this chance to explore the world of Economics with some of the brightest minds in the field!
Key Learning Outcomes
- Master Core Economic Principles
Develop a solid understanding of essential economic theories and models, providing a strong
foundation for graduate-level coursework.
- Enhance Quantitative Skills
Gain proficiency in applied mathematics and econometric techniques, equipping you to tackle complex
quantitative challenges in economics.
- Build Analytical Confidence
Apply economic concepts to real world scenarios through problem solving sessions, empowering you to
approach advanced topics and research with confidence.
Ideal Students
Who is this course for?
Our Fundamentals of Graduate Economics course is designed to help undergraduates aiming for postgraduate study, graduate students who want to strengthen their skills, and professionals seeking to advance their expertise.
Curriculum
Topics Covered - 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.
Topics Covered - 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. Utilize 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 randomized 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.
Program Tuition Fee
Program Leaders
Program delivery
The Summer School will be held in two formats and you can sign up for one of them. The online course will be live streamed via Zoom and the in-person course will be held in Oxford.
Online course: 7-11 April 2025
On-campus course: 21-25 July 2025
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.