Join the School of Social Sciences Summer School 2025 and make the most of your summer at NTU’s award-winning campus!
05 - 15 July 2025
The School of Social Sciences (SSS) is launching its inaugural summer school in July 2025, with a specialized theme on Artificial Intelligence (AI) and Big Data Analytics for Economics and Finance.
This is an exciting opportunity to learn from leading professors and industry players about how cutting-edge AI and big data analytics shape business practice and the world of finance.
Ranked among the world’s top universities, Nanyang Technological University, Singapore (NTU Singapore) has a vibrant research and teaching eco-system. Our professors are experts in their respective subjects not only on account of their prolific research, but also because they bring a depth of industry knowledge and a dedication to the mentorship of students into the classroom.
Special features of the SSS Summer School:
- Bespoke lectures and group work
- Specially curated industry-immersion in the heart of one of the top financial centres in Asia
- Glean insights from industry experts about global developments in FinTech.
- Build your network with fellow coursemates to forge the future of economics and finance.
E-Brochure
Download the E-Brochure here to learn more about the upcoming School of Social Sciences Summer School 2025
Download E-BrochureAdmission Criteria
- 2nd year university students and above in economics/finance or related subjects e.g. mathematics
- Taken 1st year undergraduate course in mathematics and statistics
- Min. GPA of 3.0/5.0
- Proof of English Proficiency if English is not the medium of instruction at home university
If you are interested, please register here by 03 March 2025:
https://forms.office.com/r/hXf3Y6mpcn
We will contact you after receiving your registration details.
Period: 05 to 15 July 2025
There will be a total of 13 lectures over the entire period.
In a typical day, you will have two 2.5-hour sessions, including lectures and other in-house activities, one in the morning and the other in the afternoon. There are also breaks and time for discussion in between.
To ensure you have a fun-filled and memorable time, we have also lined up a series of enjoyable activities throughout the summer school, including a specially curated industry-immersion, a heritage tour, and an excursion dinner.
Course title:
Artificial Intelligence and Big Data Analytics for Economics and Finance
Academic Units:
3
Contact Hours:
39
Course Delivery:
Taught on-site and in English
Credit Transfer:
Please check the credit transfer process with your respective home university.
Mutually Exclusive to: (For NTU students only)
Not allowed to take this course if student has taken or is required by the degree programme e.g. ECDS to take these courses:
- HE4031 Big Data: Applications in Economic and Financial Analysis
- MH4519 Financial Econometrics
- HE4046 Big Data: Applications in Economic and Financial Analysis
Course Aims
In just two short decades, FinTech has already revolutionized the financial industry. Technology has played an important role in transforming the financial sector landscape rapidly. The aim of this course is to provide a broad understanding of the dynamics of technological development in FinTech industry including Payment, Digital Finance, Blockchain Technology and Cryptocurrencies, as well as the skills to use methods in AI/ML and Big data.
The first part of the course intends to introduce you to the concepts of FinTech and gives an insight into major areas in FinTech such as Payments, Digital Finance, and the major technological trends driving the FinTech revolution. You will also learn about FinTech development in Singapore and world, so that you are able to recognize key developments taking shape as well as gain an insight about the future of finance in this volatile digital world.
The second part will introduce you to modern statistical methods essential for analyzing large and complex datasets, commonly referred to as ‘big’ data. We will emphasize the analysis of time series, a critical type of dependent data frequently encountered in economics and finance. Building on your prior knowledge of basic probability and statistics, you will explore advanced techniques for modeling large-scale observations. This will equip you to analyze and interpret the vast amounts of data that drive decision-making in various industries, preparing you for the challenges of today’s data-driven environment.
NTU Students | International Students (Non-Exchange/Fee-Paying) | |
---|---|---|
Registration Fee | Contact -> [email protected] | S$153 |
Tuition Fee | Contact -> [email protected] | S$3,800 |
Hostel Fee | Not applicable; hostel stay is only applicable for international students | S$825 |
Miscellaneous Fee | S$109 (TBC) | S$109 |
Immerse yourself in the NTU student experience!
- Early check-in available from 0900hrs to 2100hrs on 04 July 2025
- Check-in between 0900hrs and 1200hrs on 05 July 2025
Room Type | Cost | Remarks | |
---|---|---|---|
(a) Single room | Fixed Fee of S$825 for 11 nights |
| |
(b) Double room | (Regardless of room type) |
Please note that campus accommodation is not applicable to NTU students who are already residing in Singapore.
Option to Extend Stay
If you would like to extend your stay in Singapore after the Summer School programme concludes on 15 July 2025, you have the option to book directly with our pre-arranged hotel at a special rate:
- Superior Room (Single/Twin): S$132++ per night (excluding 10% service charge and prevailing tax)
The hotel information will be provided to you or through your university contact, after your registration.
The deadline for securing this special rate with the hotel is 30 March 2025.
Alternatively, please feel free to look for your own accommodation after 15 July 2025.
For any extension of stay, please ensure you have the necessary travel permits and are in compliance with the approved duration of stay.
Contact Us
Mr David Lim
Assistant Director, Student Administration
School of Social Sciences
Nanyang Technological University
48 Nanyang Avenue, Singapore 639818
Tel: +65 6592 7833
Email: [email protected]