Programme Description
The Summer School in Mathematical Economics & Financial Econometrics is hosted by UNNC's School of Economics since 2017. The programme aims to nurture and enhance mathematical skills and introduce their applications in studying economics and finance.
It is ideal for the students who
- aspires to build up solid foundation in mathematics for further studies and career development in economics, finance, and related fields such as statistics and data science, and
- seeks advice with general study in mathematics, especially quantitative modules in economic related programmes at both undergraduate and graduate levels.
*Programme Dates
15 June 2026-3 July 2026
Module Introductions:
The programme offers the following four modules over a three-weeks period.
Analysis and Optimization
This module provides analytical methodology optimization tools in economics. It helps students to enhance understanding in calculus and optimization theory.
Linear Algebra with MATLAB
This module teaches (i) the application of linear algebra in econometrics and pricing theory in finance and (ii) how to program related classical linear algebra algorithms in these topics in MATLAB. It helps students to better understand linear algebra and build up programming skills at the algorithmic level.
Topics in Econometrics
This module teaches advanced econometric methods to deal with instrumental variables, simultaneous equations from a theoretic perspective. It also teaches GMM methods and its application in finance.
Probability Theory
This module offers a rigours and comprehensive treatment in probability theory from a modern perspective (set theory). It offers understanding of probability theory at the conceptual level, which is extremely crucial for further study in related modules such as statistics, econometrics, stochastic calculus, etc.
Course Timetable
(The programme is subject to change.)
Prerequisites: (1) Basic knowledge of calculus and linear algebra (e.g., Knut Sydsæter, Peter Hammond, Arne Strøm and Andrés Carvajal (2016), Essential Mathematics for Economic Analysis, Pearson Education); (2) Basic knowledge of introductory level of econometrics/statistics.
Changes Made (based on past year feedback)
- We continuously receive feedback that there is too much content to digest in such a short term. In response, we’ve streamlined the curriculum design this year to encompass only the above four core modules. (Past students have found them to be extremely practical for both advanced undergraduate and graduate studies.) Other modules are replaced by tutorial sessions led by TAs, who will help you consolidate the material, make further explorations, and solve practice problems. (Evening Q&A sessions are still available as usual.)
- With the rise of AI, we will also be showing you how to better use AI to facilitate your study throughout the term.
Instructors
Professor Shravan Luckraz
Professor in Economics
Shravan Luckraz is a Professor of Economics in the School of Economics and Director of CeDEx China. He holds a Ph.D. from the National University of Singapore and has since then held positions in Singapore, Australia and China. He is a recipient of the West Lake Friendship award and medal. His research interests lie primarily in the fields of Game Theory and Mathematical Economics. He is currently on the executive board of the International Society of Dynamic Games, on the editorial board of the Bulletin of the Institute of Mathematics, a guest editor of Dynamic Games and Applications and on the board of reviewers of Mathematical Reviews of the American Mathematical Society. He served as a guest editor of the Annals of Dynamic Games for the years 2017-2020. He was awarded the National Natural Science Foundation of China (NSFC) grant and fellowship in 2016 and 2019.
Dr. Stuart McDonald
Associate Professor in Economics
Dr. McDonald earned his Ph.D. from the University of Queensland. Over the past several years, Dr. McDonald has been involved in various research projects, including microeconomic theory, industrial organization, public economics, and environmental economics. His work has contributed to the United Nations' Sustainable Development Goals (SDGs), which aim to eradicate poverty, protect the planet, and promote prosperity.
Dr. Zhenjiang Lin
Associate Professor in Economics
Zhenjiang is currently an Associate Professor in Economics. His research interests include Econometrics and Numerical Optimization. Specifically, he is interested in simulation-based inference, identification-robust inference, multivariate models and inflation modeling. His work has been published in leading peer-reviewed journals such as Journal of Business and Economic Statistics and Journal of Economic Dynamics and Control.
Dr. Xuewen Qian
Assistant Professor in Economics
Xuewen joined the School of Economics in 2017 as an Assistant Professor at the University of Nottingham Ningbo China. He received his PhD in Economics from National University of Singapore in 2016. His research focuses on (epistemic) game theory. His current work is on equivalence of forward and backward induction under general preferences.
Certificates and Awards
A final exam (containing all 4 modules) will be carried out in the end of the programme.
- We issue certificates to all participants.
- Students who perform well will receive certificates with excellence.
- In addition, for students achieving exceptionally great performance, we will offer them suitable RA positions after the programme.
Tuition Fee
Tuition Fee:
13,000 RMB
Early bird price:
12,000 RMB (for students who complete the payment before April 29nd)
How to apply
Please scan the QR code to fill in the registration information
Application & Payment Deadline:22 May 2026
Please send the payment record to the email below:
FHSS_Events@nottingham.edu.cn
Tel: 88180000-8574