M.Sc. in Financial Investment and Risk Management


M.Sc. in Financial Investment and Risk Management (FIRM)

  • มุ่งเน้นการเตรียมตัวสำหรับอาชีพด้านการลงทุนทางการเงินและการบริหารความเสี่ยง
  • ผู้ร่วมมือทางด้านหลักสูตรวิชาชีพการเงินและการลงทุนระดับสากล (CFA Program Partner) ผู้แรกในประเทศไทยและผู้ร่วมมือทางการศึกษาสมาคมผู้จัดการความเสี่ยงโลก (GARP Academic Partner) ผู้แรกในประเทศไทย
  • การเตรียมตัวเพื่อการสอบ CFA และ FRM
  • คาบเรียนวันเสาร์-อาทิตย์
  • โอกาสในการศึกษาในต่างประเทศ

ทำไมต้องเรียนหลักสูตรวิทยาศาสตรมหาบัณฑิต สาขาการลงทุนทางการเงินและการบริหารความเสี่ยง (Financial Investment and Risk Management: FIRM)

เป็นครั้งแรกในไทยที่บัณฑิตวิทยาลัยการบริหารธุรกิจ (Graduate School of Business Administration: GSBA) ของสถาบันบัณฑิตพัฒนบริหารศาสตร์ (National Institute of Development Administration: NIDA) สถาบันบัณฑิตพัฒนบริหารศาสตร์ (NIDA Business School) ได้รวมเอาสองสถาบันได้รับการยอมรับมากที่สุดในระดับนานาชาติไว้ในชุมชนการเงินเพื่อนำคุณได้ศึกษาในระหลักสูตรวิทยาศาสตรมหาบัณฑิตโดยมีการมุ่งเน้นเรื่องการวิเคราะห์ทางการเงินและการจัดการความเสี่ยงที่จะเตรียมความพร้อมให้กับนักเรียนสำหรับการสอบ CFA© และ FRM©




ผู้ช่วย ศ.ดร.ณัฐวุฒิ เจนวิทยาโรจน์



Course contents and teaching activities focus on the integrated skills of listening, speaking, Reading and writing with a particular emphasis on academic writing, Students will also work in small groups, practicing paper presentation techniques, précis writing, and research writing.

This course is intended to provide additional practice in the four skills of listening, speaking, reading and writing strategies covered in LC 4002. Students receive individualized attention to enhance their communication skills in English.

Note 1. Registration for on exemption from LC 4003 Advanced Integrated English Language Skills Development and specified in the NIDA’s announcement on English Proficiency requirements.

The objective of this course is to provide students with an introductory survey of many applications of descriptive and inferential statistics. Specifically, the students will be taught the 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 and chi-square applications. The statistical analyses will be conducted primarily using Microsoft Excel, so students should have some familiarity with Excel.

The application of statistical and mathematical techniques to solve problems in finance. Topics include time series versus cross-sectional data, cross-sectional versus panel data, univariate time series modeling and forecasting, a white noise process, tests of non-nested hypotheses, Wold’s decomposition theorem, the moments of an autoregressive process, statistical versus economic or financial loss functions and selected topics in quantitative financial market analysis.

This course will cover determination of gross domestic product, consumption, investment, unemployment and price level. Analysis of interest rate, wage rate and inflation rate. Role of fiscal and monetary policy. Furthermore, this course will extend to international economy. Moreover, this course will cover theory of consumer choice and demand, estimation and forecasting demand, theory of production and cost, market structure, game theory, pricing theory, theory of demand and supply of factor market, general equilibrium and making decision under risk and uncertainty.

Concepts and issues involved in the preparation and interpretation of financial statements; the use of financial information to evaluate and control an organization.

The framework for financial analysis and management is developed. A study of capital management, long-term asset management, short-term and long-term financing, capital structure as well as dividend policy and cost of capital.

Corporate Governance and Financial accounting, reporting and analysis of financial statements with the focuses on pensions, stock compensation, and other employee benefits, inter-corporate investments, business combinations and multinational operations.

The theoretical and working knowledge of derivatives analysis using mathematics and numerical examples in order to improve understanding in derivatives. Introduction to the different types of derivatives: futures, forward, swaps and options. The concept of trading and hedging strategies using derivatives.

The main purpose of this course is to provide a basic knowledge for implementing common financial models in Excel. This course covers standard financial models in the areas of corporate finance models, portfolio management models, options pricing models, fixed income management models. In this course, the students will be provided clear and concise explanations for the implementation of the various financial models using Excel.

Financial economic theory and modeling techniques as an integral part of mathematical risk management. Mathematical models used for risk management and financial derivatives, the arbitrage-free principle, single-period and multi-period valuation models, valuations of exchange-traded options, application to valuation of uncertain cash flow streams, complete and incomplete models and applications to sophisticated management of risk and insurance products.

This course covers the application of the tools used to assess financial risk: quantitative analysis, fundamental risk management concepts, financial markets and products, and valuation and risk models through a deeper understanding into market, credit, operational and integrated risk management, investment management as well as current market issues.

Types of securities; sources and types of information used in investment analysis; methods and principles of investment decisions; basic principles and methods of securities and portfolio management of both personal and institutional investment.

A framework for properly valuing fixed income securities and alternative investment is developed. The valuation frameworks in consideration of the term structure of interest rates and the value of fixed income securities with complex structures and embedded options including callable and puttable bonds, mortgage-backed securities, asset- backed securities and convertible bonds. Methodologies for valuing interest rate futures, options on fixed income securities and interest rate caps and floors.

Development of financial engineering and risk management tools; the process that seeks to adapt existing financial instruments to develop financial innovation so as to enable financial market participants to cope more effectively with financial risk in the changing world.

Choices under uncertainty; perfect and imperfect asset markets, equilibrium asset pricing, differential information in markets and rational expectations, asymmetric information in credit and capital markets; term structure of interest rates under certainty; relationship between real and financial sectors; efficiency of financial markets and institutions; international capital flows and their impact on national economies; financial crises and economic crises; case studies related to financial systems –real sector interactions in developing countries.

Problems in business finance; problems in financial management, investment planning, sources of funds; and dividends; with emphasis on the application of theories and financial techniques in problem-solving using case studies.

An Independent Study. Advanced-level investigations which cover the analysis of symptoms, problems, causes, and business audit. Business plan integrating various functions in businesses.

Study in depth with the administrative topic of the research protocol was approved , published the results of a research thesis and an oral examination. Prerequisite : study at least 36 credits under Plan A(2) LC 4003 Advanced Integrated English Language Skills Development3 credits (Non-credit) Course contents and teaching activities focus on the integrated skills of listening, speaking, reading and writing with a particular emphasis on academic writing, Students will also work in small groups, practicing paper presentation techniques, Précis writing, and research writing.

กำหนดการรับนักศึกษา ประจำปีการศึกษา 2563



Round 1


Round 2


Round 3


Round 4

1. Application Period 

Now- August 30th, 2019

September 2nd   - October 11th , 2019

October 21st ,2019 –February 21st , 2020

March  2nd  - JUNE 26th , 2020

online Application:

2. List of applicants and venue postings

September 6th  ,2019

October 18th  ,2019

February 28th  ,2020

July 1st ,2020

3.Written Exam Date

September 8th  ,2019

October 20th , 2019

March 1st , 2020

July 4th ,2020

4. List of applicants who are eligible to take the interview

September 18th, 2019

October 31st, 2019

March  18th , 2020

July 8th , 2020

5. Interview Schedule

September 23rd – 27th , 2019

November 4th - 8th, 2019

March  23rd - 27th  , 2020

July 13th – 17 th , 2020

6. Result of Exams

October 25th ,2019

December 13th , 2019

April 24th , 2020

July 27th , 2020

7. Pick up Registration Form

November 4th - 8th ,2019

December 16th-20th , 2019

April 27th – May 1st , 2020

July 27th – 30th , 2020

8. Student Registration

November 4th - 8th ,2019

December 16th-20th , 2019

April 27th – May 1st , 2020

July 27th  - 31st  , 2020

9. Pre Course

July 2020

July 2020

July 2020

July 2020

10. Open Course

August 2020

August 2020

August 2020

August 2020

11.Total Credits

36 Credits

36 Credits

36 Credits

36 Credits

12 .Total Cost

440,000 ฿

440,000 ฿

440,000 ฿

440,000 ฿


- A Business Aptitude Test/A Modified Speed Track Test
- An English Proficiency Test

- A Business Aptitude Test/A Modified Speed Track Test
- An English Proficiency Test

- A Business Aptitude Test/A Modified Speed Track Test
- An English Proficiency Test

- A Business Aptitude Test/A Modified Speed Track Test
- An English Proficiency Test

ที่อยู่ : ชั้น 8 อาคารบุญชนะ อัตถากร
เลขที่ 118 ถ.เสรีไทย คลองจั่น บางกะปิ กรุงเทพฯ 10240
ติดต่อเจ้าหน้าที่ :
คุณอินทิรา : 02 - 727 - 3937
โทร : 02-727-3931-49
แฟกซ์ : 02-374-3282,02-375-3924
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