Program Overview
Master of Science Program in Finance (MF) (Weekend Program)
What : Master of Science Program in Finance (MF) (conducted in Thai) is designed for individuals seeking high-quality graduate education from NIDA Business School, an institution accredited by the Association to Advance Collegiate Schools of Business (AACSB). The program aims to develop graduates with a comprehensive understanding of financial principles and theories, the ability to apply financial knowledge accurately and appropriately in professional contexts, and a strong commitment to academic ethics, professional standards, and social responsibility. The curriculum is grounded in the concept of sustainable finance, responding to the needs of society and contributing to national development.
Why : The program is suitable for ambitious and forward-looking individuals who seek to advance their careers in finance, enhance earning potential, and expand professional opportunities by strengthening their competencies and exploring diverse career pathways as financial professionals.
Graduates may pursue careers as:
- Executives and managers in the public sector
- Executives and managers in the private sector
- Academics and researchers in finance
- Financial professionals and specialists
- Personnel in government agencies, financial institutions, and banking organizations
- Entrepreneurs and business owners
- Independent professionals, such as private investors and financial content creators
When : The program is designed for working professionals with full-time employment during weekdays. Classes are conducted on weekends (Saturday and Sunday) to support continued education at the master’s level while maintaining professional commitments.
How : Students may select specialized fields of study according to their interests to enhance professional expertise, apply advanced financial knowledge in practice, or prepare for internationally recognized professional financial certifications, including CFA, FRM, and CFP.
Program Structure
Master of Science Program in Finance (MF)
Total Required Credits: 36 Credits
| Course Category | Plan 2 |
|---|---|
| 1. Remedial courses | ไม่นับหน่วยกิต |
| 2. Basic courses | 12 |
| 3. Core Courses | 3 |
| 4. Major Courses | 9 |
| 5. Elective Courses | 9 |
| 6. Independent Study | 3 |
| 7. The written and oral portions of the Comprehensive Examination / Comprehensive Examination (written and oral) | – |
| Total | 36 |
Course Descriptions
A framework for financial decision-making using financial statement data; the preparation of financial statements, the interpretation of financial statements for evaluating firm performance and risk and for business valuation
Basic theory and applications of economics; a framework for analyzing issues in investment and corporate finance, using relevant economic concepts; fundamental concepts in microeconomics and macroeconomics, theory of demand and supply, theory of production and cost, market structure and economics of information, decision-making under risk and certainty; national income accounting, employment, inflation, money and interest rate, aggregate demand and aggregate supply analysis, fiscal and monetary policies; relevant economics concepts on the issues in financial markets, such as financial crisis
Financial system and financial markets; asset classes and financial instruments; money markets, capital markets, equity markets, debt markets, international financial markets, securities trading; financial institutions
Business ethics; corporate governance; the CFA Institute Code of Ethics and Standards of Professional Conduct for investment professionals
Descriptive and inferential statistics; fundamentals of statistical probabilities and distributions, random sampling, one-sample hypothesis testing and confidence intervals; simple and multiple linear regression; correlation analysis, analysis of variance, chi-square applications
Statistical and mathematical techniques to solve problems in finance; time series versus cross-sectional data, cross-sectional versus panel data; univariate time series modeling and forecasting; econometrics software in estimating the models, the interpretation of the estimation results
Framework for corporate finance; Sustainable Finance , time value of money, financial ratio analysis, risk and return, financial forecasting, stock and bond valuation, capital budgeting, cost of capital estimation, capital structure, payout policy, working capital management
A theoretical and practical point of view of equity valuation; economic and industry analyses, a wide variety of equity valuation models; equity portfolio management; portfolio optimization, ESG Investment
Valuation and application of various fixed income securities and their derivatives, Sustainability-Linked Bond, bond analysis, term structure of interest rates, risks of fixed-income securities, interest rate risk management; bond portfolio management
Theoretical and practical view of derivatives; different types of derivatives; futures, forwards, swaps, options; concept of trading and hedging strategies using derivatives; roles of derivatives in risk management, Climate Risk.
Theoretical and practical view of alternative investments; analysis of various classes of alternative investments ; roles that alternative investments play in a traditionally well-diversified portfolio; hedge funds, venture capital, private equity, real estate and collectibles
Modern portfolio theory, Efficient Market Hypothesis and its implications, Capital Asset Pricing Model (CAPM), arbitrage pricing theory, and more general factor models.
Foundations of private wealth management; communication with client, understanding clients’ financial psychology, investment planning, insurance planning, tax planning, estate planning, retirement planning
Concepts and process of investment portfolio management in order to meet the financial objectives of institutional investors; gathering information of clients’ needs, drafting investment policy statements, formulating appropriate strategic asset allocation, constructing the investment portfolio, evaluating portfolio performance
Fundamental concepts of behavioral finance; utility theory, market efficiency, anomalies, limits to arbitrage, prospect theory, mental accounting, psychological biases; value versus growth investing, momentum investing
Foundation of financial risk management; valuation and risk models of various financial instruments; market risk measurement and management for financial institutions
Foundation of credit risk measurement and management; credit derivatives, credit risk modeling, credit scoring, credit risk management for financial institutions
Sustainability, climate change, and social equity issues and challenges facing financial industry; roles of finance in obtaining Sustainable Development Goals (SDGs); climate and sustainable finance; carbon pricing mechanism; sustainable financial instruments and related taxonomies; effect of ESG (Environmental, Social, and Governance) on financial decision
Concepts of financial feasibility study of various business projects; business models and market feasibility, operational feasibility, human resource feasibility, financial feasibility; business feasibility reports and presentation
Financial technology (Fintech) and its roles on the improvement and automation of traditional financial services; decentralized finance (DeFi); digital assets and cryptocurrency, blockchain technology
Analysis of financial data using Python and R coding to make informed financial decisions; application of data analytics for finance; quantitative trading strategies, such as high frequency trading, risk modeling, machine learning, artificial intelligence (AI), text mining
Theoretical foundations of market microstructure; various types of market structures, types of traders, behavior of informed traders, price discovery, liquidity and volatility, various transaction cost measures; empirical evidence of market microstructure in Thai and other financial markets
Basic knowledge for implementing various financial models in Excel; standard financial models in corporate finance, portfolio management models, options pricing models, fixed income management models
Corporate financial theory and applications to optimal corporate finance decisions; cost of capital and capital budgeting; advanced theories on capital structure and payout policies; complex corporate securities, securitization, real options, going public, corporate restructuring, merger and acquisition valuation, buyout valuation, corporate governance, corporate control
Investment banking businesses; corporate valuation, equity and fixed-income underwriting businesses, asset securitizations, mergers and acquisitions (M&A), leverage buyouts (LBOs), corporate restructuring; legal, ethical, and governance issues in investment banking businesses
International financial environment and the problems in the management of international finance; exchange rate systems, the international money market; sources of funds for exporters, importers and international investors; management of foreign exchange rate risk for businesses; management of assets, liabilities and capital structures
Process and methodologies in finance research; research design, literature review and hypothesis development, selecting appropriate research methodologies; programming Skills for finance research
Essential topics in financial and investment analysis for financial analysts and fund managers; ethics in finance, financial accounting, financial products, quantitative analysis, portfolio management; preparation for Chartered Financial Analyst (CFA®) Level I exam
Essential topics in financial and risk analysis for risk analysts and risk managers; financial markets, financial products, quantitative analysis, valuation, measuring and managing risk, investment management; preparation for Financial Risk Manager (FRM®) exam
Major topics for financial advisors; investment planning, risk and insurance planning, tax planning, income and retirement planning, estate planning, education planning; preparation for CFP® exam
Special and contemporary topics in finance determined and announced by the School before the beginning of each semester. Prerequisite: At the instructor’s discretion
Independently researching by collecting data, analyzing data, discussing and presenting the results of topic related to financial issues
Qualifications of Applicant
1.1 Case No.1 A written examination
Applicants applying to the Master of Science Program in Finance via the Written Examination Track shall meet the following requirements:
1.1.1 Applicants shall have completed a bachelor’s degree or an equivalent qualification from a public or private higher education institution, either domestic and/or international, accredited by the Office of the Permanent Secretary, Ministry of Higher Education, Science, Research and Innovation (MHESI), Thailand.
1.1.2 Applicants shall have at least one (1) year of work experience as of the official opening date of the academic semester.
Note : Applicants who have passed the written examination shall be eligible to attend the interview in accordance with the date and time specified in the official announcement of the written examination results for the respective admission round. A separate application for the interview shall not be required.
1.2 Case No.2 An interview (Honors Degree / Test Score Submission)
Applicants applying to Master of Science Program in Finance via the Interview shall meet the following requirements:
1.2.1 Applicants shall have completed a bachelor’s degree from a public or private higher education institution, either domestic or international, accredited by the Office of the Civil Service Commission (OCSC) and/or the Office of the Permanent Secretary, Ministry of Higher Education, Science, Research and Innovation (MHESI), and shall meet one (1) of the following conditions:
1.2.1.1 Graduation with honors, or
1.2.1.2 A valid written examination score of 500 or above for the Master of Science Program in Finance.
1.2.2 Applicants shall have at least one (1) year of work experience as of the official opening date of the academic semester.
สามารถดูรายละเอียดได้ที่ ดาวน์โหลด >> ประกาศรับสมัคร
1.สอบข้อเขียน
ข้อสอบข้อเขียนจำนวน 70 ข้อ (ข้อสอบแบบปรนัย) ใช้เวลาทำข้อสอบ 2 ชั่วโมง
แบ่งเป็น 1.1 ข้อสอบวิชาคณิตศาสตร์มีจำนวน ทั้งหมด 30 ข้อ
1.2 การวิเคราะห์และใช้เหตุผล 20 ข้อ
1.3 ภาษาอังกฤษ 20 ข้อ
2.พิจารณาจากใบสมัครและเอกสารประกอบการสมัคร
3.สอบสัมภาษณ์
หมายเหตุ :
- การคัดเลือกผู้สมัคร เข้าศึกษาต่อในหลักสูตร อยู่ในดุลยพินิจของคณะกรรมการประจำหลักสูตร และคณะกรรมการรับนักศึกษาของสถาบัน โดยการพิจารณาตัดสินของคณะกรรมการดังกล่าว ถือเป็นที่สุด
- กรณีที่หลักสูตร/สาขาวิชา/สาขาวิชาเอกใด ๆ คัดเลือกนักศึกษาได้ต่ำกว่าจำนวนที่กำหนด สถาบันฯ ขอสงวนสิทธิ์ที่จะไม่เปิดสอนในหลักสูตร/สาขาวิชา/สาขาวิชาเอกนั้นๆ โดยผู้สมัครจะฟ้องร้องเอาความสถาบันฯ ไม่ได้
[รอข้อมูลภาษาอังกฤษ]
Fees and Expenses
TOTAL COURSE FEES
FOR THAI STUDENTS
TOTAL COURSE FEES (APPROXIMATELY) 294,100 THB
TOTAL COURSE FEES
FOR THAI ASEAN STUDENTS
TOTAL COURSE FEES (APPROXIMATELY) 326,100 THB
TOTAL COURSE FEES
FOR THAI FOREIGNER STUDENTS
TOTAL COURSE FEES (APPROXIMATELY) 334,100 THB
Note: The institution reserves the right to modify student admission schedules, tuition fees, and the courses offered without prior notice, in accordance with the institution’s announcements.
Application Period
| Schedule | Round 1 | Round 2 |
|---|---|---|
| 1.Writing exam application Click here for Application form | Now – 30 November 2025 | 23 Dec 2025 – 30 Apr 2026 |
| 2.Online Application https://admission.nida.ac.th | Now – 30 November 2025 | 23 Dec 2025 – 30 Apr 2026 |
| 3.Apply for interview (In case of Honors / Filing examination scores) | Now – 21 December 2025 | 23 Dec 2025 – 20 May 2026 |
| 4.Announce the location for writing examination | 8 December 2025 | 8 May 2026 |
| 5.Writing examination date | 14 December 2025 | 16 May 2026 |
| 6.Announce results of writing examination | 22 December 2025 | 25 May 2026 |
| 7.Announce the name of the interview | 26 December 2025 | 29 May 2026 |
| 8.Interview test | 14 – 16 January 2026 | 3 – 5 June 2026 |
| 9.Announcement of selection | 26 January 2026 | 15 June 2026 |
| 10.Get registration document / registration | 26 January – 2 February 2026 | 15 – 20 June 2026 |
| 11.Registration payment | 26 January – 3 February 2026 | 15 – 22 June 2026 |
| 12.Intensive Course | July 2026 | July 2026 |
| 13.Orientation | 1-2 August 2026 | 1-2 August 2026 |
| 14.Beginning of semester | 8 August 2026 | 8 August 2026 |
| 15.Examination Fee | 1,200 THB | 1,200 THB |
| 16.Tuition Fee | 294,100 THB | 288,300 THB |
| 17.Duration of course | 2 years | 2 years |
| 18.studying time | – Sat and Sun | – Sat and Sun |
| 19.Language conduction | Thai | Thai |
Contact
Address : 8th Floor, Boonchana Atthakorn Building,148, Serithai Road, Klongchan,Bangkapi,Bangkok10240
Contact Person : Natthaphat : 02 – 727 – 3938
Tel : 02 – 727 – 3931 – 49
Fax : 02 – 374 – 3282, 02 – 375 – 3924
E-mail : natthaphat.d@nida.ac.th
Website : https://mba-nida.todsorb.dev/en/
Line : @mbanida