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Bachelor of Science in

Financial Mathematics

The Bachelor of Science in Financial Mathematics​ is designed to equip students with the advanced mathematical, statistical, and computational skills necessary to solve complex problems in the financial sector. The curriculum integrates core mathematical concepts, such as calculus, probability, and linear algebra, with specialized financial and economic theories, including risk management, investment analysis, and financial modeling. The program aims to produce graduates who are professionally competent, ethically grounded, and socially responsible contributors to the financial and corporate world. Graduates are prepared for careers that require strong quantitative analysis and modeling skills, such as financial analyst, actuary, risk manager, and quantitative researcher.
The program for a Bachelor of Science in Financial Mathematics is designed with the following objectives:
  1. To enable students to obtain a comprehensive knowledge and deep understanding of the field of financial mathematics, including core concepts like financial modeling, risk analysis, and quantitative tools.
  2. To enable students to acquire the theoretical and practical skills needed to become globally competitive professionals in the financial sector, such as an actuary, financial analyst, or data scientist.
  3. To enable students to gain a broad foundation in key subjects such as calculus, linear algebra, probability, and statistics, alongside business-related topics like economics and corporate finance.
  4. To enable students to acquire practical skills in applying mathematical and statistical methods to critically analyze problems in finance.
  5. To enable students to gain an entry-level position in the public or private financial sector and/or pursue graduate studies.
  6. To enable students to develop the analytical skills, ethical responsibility, and professional behavior needed to become responsible contributors to the financial services industry.
The graduates of the Bachelor of Science in Financial Mathematics program can find employment in the financial sector as quantitative analysts, risk managers, actuaries, and financial analysts in public or private companies. They are also well-suited for roles in data science and software development within the FinTech industry. Here are some potential career paths for graduates with a degree in Financial Mathematics:

    • Quantitative Analyst/Strategist (Quant)
    • Actuary
    • Risk Manager
    • Financial Analyst
    • Data Scientist
    • Software Engineer/Developer
    • Portfolio Manager

Bachelor of Science in Financial Mathematics

Course CodeCourse TitleUnitsPrerequisite(s)
1st Year - Trimester 1
SP1031Marxist - Leninist Philosophy3
MT1003Calculus 14
MT1007Linear Algebra3
CO1007Discrete Structures for Computing4
SP1037Ho Chi Minh Ideology2SP1039
LA1003English 12
1st Year - Trimester 2
SP1033Marxist - Leninist Political Economy2SP1031
SP1035Scientific Socialism2SP1033
SP1039History of Vietnamese Communist Party2SP1035
MT1005Calculus 24MT1003
MT2013Probability and Statistics4MT1003, MT1007
LA1005English 22LA1003
1st Year - Trimester 3
CH1003General Chemistry3
PH1003General Physics 14
PH1007General Physics Labs1
CO1027Programming Fundamentals3CO1007
CO1005Introduction to Computing3
LA1007English 32LA1005
2nd Year - Trimester 1
SP1007Introduction to Vietnamese Law2
IM1013Economics3
CO2011Mathematical Modeling3CO1007
CO1023Digital Systems3
CO1025Logic Design with HDL3CO1023
LA1009English 42LA1007
2nd Year - Trimester 2
IM1023Production and Operations Management for Engineers3
IM1025Project Management for Engineers3
IM1027Engineering Economics3
IM3001Business Administration for Engineers3
CO2001Professional Skills for Engineers3
CO2003Data Structures and Algorithms4CO1027
2nd Year - Trimester 3
CO2007Computer Architecture4CO1005, CO1023
CO2037Electrical Electronic Circuits4
CO2017Operating Systems3
CO3001Software Engineering3
CO3007System Performance Evaluation3MT2013
CO3009Microprocessors-Microcontrollers3
3rd Year - Trimester 1
CO3053Embedded System3CO3009
CO3091Logic Design Project2CO1023, CO1025
CO3093Computer Networks3
CO3097LSI Logic Design3CO1023, CO1025
3rd Year - Trimester 2
CO3107Multidisciplinary Project1
CO2035Digital Signal Processing3
CO3035Real-Time Systems3
CO3037Internet of Things Application Development3
3rd Year - Trimester 3
CO3049Web Programming3
CO3069Cryptography and Network Security3
CO3071Distributed Systems3
CO3117Machine Learning3
4th Year - Trimester 1
CO4041Computer Engineering Project3All core subjects
4th Year - Trimester 2
CO3345Internship6CO4041
4th Year - Trimester 3
CO4347Capstone Project6CO3345
Total Units153

141

Number Of Units

4

Years To Complete

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