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

Study Plan

	Semester 1	Semester 2
Year 1	Introduction to Calculus Linear Algebra Introduction to Programming Introduction to Economics Logic and Critical Thinking English for Business Studies	Differential Equations Discrete Mathematics Object-Oriented Concepts and Programming Financial Reporting and Analysis Microeconomics for Financial Analysis Technical Writing
Year 2	Probability and Statistics 1 Numerical Methods Data Structures and Algorithms Financial Management Macroeconomics and Financial System Business Communication	Probability and Statistics 2 Optimization Methods Information Systems and Databases Introduction to Econometrics Financial Markets and Institutions Gen-Ed Elective 1
Year 3	Introduction to Stochastic Processes Introduction to Data Science Computer Networking and the Internet Equity and Fixed Income Valuation Portfolio Analysis and Management Business Computing	Machine Learning Computer and Network Security Financial Derivatives International Financial Markets Financial Risk Management Gen-Ed Elective 2
Year 3	Summer Internships
Year 4	Financial Engineering Project 1 Seminar 1 Financial Econometrics and Forecasting Financial Technology Ethics and Law for Financial Engineers Gen-Ed Elective 3 Major Elective 1	Financial Engineering Project 2 Seminar 2 Financial Engineering Major Elective 2 Free Elective 1 Free Elective 2
Graduate with B.Eng. in Financial Engineering
Year 5	Financial Modeling Financial Data Analytics [Plan A] Thesis 1 [Plan B] Research Methodology	[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
Data Visualization
Computational Intelligence
Blockchain and Cryptocurrency Technologies
Financial Cybersecurity
Energy Economics and Finance
Stochastic Optimization
Advanced Numerical Methods in Finance
Quantitative Risk Management

Download

Program fact sheets – Thai, English
Program specifications
- Bachelor of Engineering in Financial Engineering (New Program 2019)
- Master of Science in Financial Engineering (New Program 2019)