KMITL-NIDA Double Degree Program in Financial Engineering

KMITL-NIDA Double Degree Program in Financial Engineering is a combined Bachelor’s and Master’s degree program jointly offered by Faculty of Engineering, King Mongkut’s Institute of Technology Ladkrabang, and School of Development Economics, National Institute of Development Administration. The program intends to train a new generation of financial engineers who have a strong foundation in the theories of economics and finance, mathematical methods for quantitative data analysis, and computer programming and technologies that are useful in finance, and are capable of integrating and utilizing all those knowledge and skills in order to solve complex financial problems faced by organizations in these days. The graduates are expected to be able to skillfully analyze huge amount financial data to support the planning of the firm’s investment strategies and the management of risks and be able to design financial tools, products, and innovations that meet the needs of the industry. The program also aims to train its students to be ready to work confidently in the international environment with integrity and professional ethics.

Strengths

From the very first year until graduation, the students have opportunities to learn from the faculty members from the School of Development Economics, NIDA, who are experienced and have expertise in economics and finance and the faculty members with expertise in engineering and technologies from the Faculty of Engineering, KMITL.
Classes are held at both KMITL and NIDA. Shuttle buses between KMITL and NIDA campuses are provided. Students can use all the facilities, such as libraries, sport facilities, the Internet) at both KMITL and NIDA for their entire study period in the program.
Both KMITL and NIDA have extensive partnerships with industry and universities worldwide. This provides excellent opportunities for the students to undertake internships and study abroad.
All teaching and learning activities in the program are held in English language.

Careers

Work in financial institutes, such as banks, financial securities firms, or insurance companies, as a quantitative analyst (or a quant), fund manager, or financial risk manager
Work as a financial advisor
Work in the FinTech industry

>>> To see what skills each job needs and what skills are developed in each course, check out the skill mapping.

Program Structure

FE-2024 Program Structure

Study Plan

	Semester 1	Semester 2
Year 1	Introduction to Economics Business Computing and Visualization Introduction to Calculus Discrete Mathematics Introduction to Programming Digital Citizen Intercultural Communication and Skills in English 1	Linear Algebra Financial Reporting and Analysis Probability and Statistics Advanced Calculus for Economics and Finance Data Structures and Algorithms Intercultural Communication and Skills in English 2 GenEd Elective 1
Year 2	Microeconomics for Financial Analysis Financial Management Differential Equations Inferential Statistics Database Systems Computer Networking and the Internet	Macroeconomics and Financial System Introduction to Econometrics Numerical Methods Optimization Methods Web Application Development GenEd Elective in Language and Communication
Year 3	Portfolio Analysis and Management Equity and Fixed Income Valuation Financial Markets and Institutions Stochastic Processes and Calculus Data Science GenEd Elective 2	International Financial Markets Financial Derivatives Financial Econometrics and Forecasting Machine Learning Software Development Process Introduction to Financial Engineering
Year 3	Industrial Internship
Year 4	Financial Risk Management Financial Engineering Project 1 Financial Engineering Seminar 1 Professional Ethics and Laws Major Elective 1 Free Elective 1	Financial Engineering Financial Engineering Project 2 Financial Engineering Seminar 2 Financial Technology Major Elective 2 Free Elective 2
Graduate with B.Eng. in Financial Engineering
Year 5	Financial Modeling Financial Data Analytics [Plan A] Thesis 1 [Plan B] Workshop in Financial Engineering Research	[Plan A] Thesis 2 [Plan B] Independent Study [Plan B] Master Elective 1 [Plan B] Master Elective 2
Graduate with M.S. in Financial Engineering

Elective Courses

Topics in Financial Engineering
Topics in Financial Technology
Financial Communication and Presentation
Game Theory
Behavioral Finance
Market Microstructure and Algorithmic Trading
Big Data Analytics
Blockchain and Cryptocurrency Technologies
Financial Cybersecurity
Stochastic Optimization
Quantitative Risk Management
Deep Learning
Numerical Methods in Finance
Applied Portfolio Managment and Wealth Planning
Security Analysis and Investment Strategy
ESG Analysis and Responsible Investment

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Program specifications
- Bachelor of Engineering in Financial Engineering (2024 Revision)
- Bachelor of Engineering in Financial Engineering (2019 Revision)