BSc in Economics and Finance
The Curriculum
Compared to the BBA program, the BSc program requires fewer business core courses but more analytical courses in economics, finance, mathematics, and statistics. Students take major courses starting their second year of study, then required and electives courses.
The program requires a total of 120 credits with the following course requirement
| Number of Courses | Credit | |
|---|---|---|
| Business core courses, excluding ECON and FINA | 6 | 17 |
| Language required courses | 4 | 12 |
| Major courses: | ||
|
ECON (core + required) |
6-7 3 1 2 2 |
22-26 11 0 6 6 |
| Mathematics | 1 | 4-8 |
| University common core | 10 | 3 |
*For 2021 intake and before
Read more about ECON 4670 Economics Research and Communication
The course aims to provide a chance for students to have hands-on research experience on data collection, processing and analysis. Each student is required to do an individual or group project/research paper affiliated with a course, or as an independent research project; to be supervised by faculty member. Please note that no paper done during exchange can be used to satisfy the course requirement.
Curriculum for BSc Economics and Finance
|
|
|
2nd yr Fall |
2nd yr Spring |
3rd yr Fall |
3rd yr Spring |
4th yr Fall |
4th yr Spring |
|---|---|---|---|---|---|---|---|
| ECON 2174 | Mathematics for Economists | 4 | |||||
| ECON 3113 | Microeconomic Theory I | 4 | |||||
| ECON 3123 | Macroeconomic Theory I | (3) | 3 | ||||
| ECON 3133 | Microeconomic Theory II | 4 | (4) | ||||
| ECON 3143 | Macroeconomic Theory II | 4 | (4) | ||||
| ECON 3334 | Econometrics | 4 | (4) | (4) | |||
| FINA 3103 | Intermediate Investment | 3 | |||||
| FINA x 2 | Finance electives | 3 | 3 | (3) | |||
| ECON x 3 | Economics electives | 4 | 4 | 4 | |||
| ECON 4670 | Economic Research and Communication | 0 | or(0) | or (0) |
Year-specific curriculum requirements
For students admitted in HKUST in 2024-25
For students admitted in HKUST in 2023-24
For students admitted in HKUST in 2022-23
Goal 1: Graduates will be critical and all rounded thinkers who make decisions supported by analytical and statistical techniques on economic problems/issues
Objectives / Intended outcome:
- Identify core economic issues and make key assumptions.
- Demonstrate proficiency in using taught analytical and statistical techniques.
- Use analytical and statistical techniques to support assumptions.
Goal 2: Graduates will demonstrate effective group dynamics and English communication skills when solving business problems
Objectives:
- Utilize group dynamics to be effective team members, including leaders and co-workers by providing opportunities in group projects.
- Tackle problems through project/paper, and/or in-class participation and presentation.
Goal 3: Graduates will apply their knowledge of economics principles and skills to analyse economic questions in different business functions quantitatively
Objectives:
- Demonstrate substantial knowledge of various economic principles to solve economic problems.
- Understand the strengths and weaknesses of major empirical methods.
- Use economic knowledge to provide recommendations for different business functions.
- Use economic data and empirical methods/statistical knowledge to answer economic questions quantitatively and guide business decisions.
Goal 4: Graduates will understand the relation of ethical and social responsibilities balance with economic growth in local and global contexts
Objectives:
- Relate social, sustainable, and environmental considerations with business opportunities and decisions.
- Apply statistical techniques and economic theories to deliver positive business and social impacts at the local and international levels.
B.Sc. graduates use their general education in Economics and Finance to pursue careers that require knowledge and quantitative skills in economics and finance, e.g., in banks, financial institutions, trade, and government agencies.
Economists
Money and banking; international trade and investment; international macroeconomics and finance; financial macroeconomics; minor in IT or Big Data Technology (CSE/COMP) with econometrics application
Consulting / Jobs Related to Data Analysis
Industrial organization and competitive strategy; labor economics and human resources; law and economics; programming econometrics with R; time series econometrics and business forecasting
PhD Courses
Microeconomic Theory I, II; Macroeconomic Theory I, II; Econometrics
MATH Courses
Multivariable Calculus, Introduction to Real Analysis or Real Analysis; Probability