Oxford Economics Summer School Course in Machine Learning - Econometrics
Oxford, United Kingdom
DURATION
5 Days
LANGUAGES
English
PACE
Part time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
08 Sep 2025
TUITION FEES
GBP 2,975 **
STUDY FORMAT
Distance Learning, On-Campus
* contact us for more information regarding application. *Start Date info: The start dates begin on 8 September - 12 September 2025
** professionals | students and academics: £1,955
Free Online Webinar – September Summer School 2025
21 January 2025 (Tuesday) Time: 9:30am- 10:30am (GMT)
Introduction
Our September Summer School gives you the opportunity to complete advanced economics courses taught by internationally renowned economists, whilst immersing yourself in the unique learning experience Oxford provides.
Not only that, but our Summer School stands out from the crowd by allowing you to create your own tailor-made learning experience. When you apply you will have the option to select courses in Applied Microeconomics, Macroeconomics or Econometrics; so you can choose morning and afternoon sessions from two different disciplines, or focus on a single field of interest. This allows you to create a tailored learning experience that ensures you get the most out of your time in Oxford.
Afternoon Course
8-12 September 2025
The goal of this course is to provide you with a quick but solid introduction to the theoretical foundations of machine learning.
Ideal Students
Who is this course for?
The target audience for this course is Graduate Students completing a PhD or MPhil in Economics, and professionals working in central banks and international institutions in research.
Choose to follow the Econometrics Pathway to deepen your knowledge of Econometrics with courses in Treatment Effects (morning session) and Machine Learning (afternoon session). Or mix and match, choosing different morning or afternoon sessions from our other pathways: Applied or Macroeconomics.
Program Outcome
What you will gain from this course
- Become critical consumers of machine learning research, including an understanding when new methods might or might not be useful for empirical work in economics
- Develop your research agenda around importing ideas from Machine Learning into economic and econometric theory
- Be able to speak to the machine learning literature, contributing ideas from economics
Admissions
Program Tuition Fee
Program Leaders
Program delivery
When you apply to our Summer School, you will have the option to select one course in the morning and one course in the afternoon. These can be from the same field, or you can mix and match to create your own tailored experience.
The Summer School will be held in person, in the Department of Economics, Oxford. For those unable to attend in person, the sessions will also be available live-streamed via Zoom.
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.