The MSc Finance is a full-time bilingual programme and can be completed in a year. Students are required to complete 36 academic units (AUs) consisting of core and elective courses. Students who successfully complete all the course requirements will be awarded a degree in MSc Finance by Nanyang Technological University.
The programme is designed for students to gain practical insight into finance principles required for a rewarding career in finance. On top of the structured and rigorous curriculum, we also engage in a range of activities like Student Industry Field Trips (SIFTs), thought series, and personal and professional development guidance so as to build a platform to meet with industry experts and to develop your skills.
The curriculum is subjected to changes. The University reserves the right to revise the curriculum.
This is an online, self-paced eLearning course designed for students with little or no experience in Excel so as to equip them with essential Excel skills through hands-on practices.
The course aims to equip students with accounting skills and knowledge essential for understanding and analysing financial statements for business decisions. Students will learn the concepts and applications of financial accounting standards on key economic transactions of the reporting entity so that they can interpret and analyse financial statements. These transactions include complex scenarios that involve financial instruments, impairment, leases, and business combinations.
This course provides a rigorous introduction to the fundamentals of modern finance and their applications to business challenges in investment. Models of investment are at the heart of every investment decision, whether that decision is to buy, sell, or hold. Due to the globalization process and ever-changing dynamics of the modern financial markets, the pricing of any financial asset has become a more complex task. This course endeavors to provide the basic understanding and tools to conduct portfolio analysis, make investment decisions, and manage portfolios. By the end of this course, students should have a broad understanding of investments and portfolio management. This course covers the analysis of various investment vehicles (stocks, bonds, and options), allocation of assets, and modern portfolio theory. Students will learn valuation, portfolio construction and evaluation techniques, and apply investment techniques using Excel.
The main topics are: (A) an introduction to asset classes and financial instruments, and how to trade financial securities; (B) fixed income securities; (C) risk and return, capital allocation decisions; (D) modern portfolio theory, the Capital Asset Pricing Model (CAPM), Arbitrage Pricing Theory (APT), and Multi-factor models; (E) performance evaluation of mutual funds and other portfolios.
This course introduces students to the basic statistical and decision analysis tools for making informed management decisions. Statistics is the science of learning from data and includes everything from collecting and organizing to analyzing and presenting data. It is concerned with probabilistic models, specifically inference, using data. It focuses on understanding the principles and developing problem-solving skills. The use of computer-based solution tools will be emphasized throughout the course. This course also presents the fundamental concepts of linear regression model and with an emphasis on applications, real data, and the use of statistical software. Emphasized are understanding the assumptions of the statistical techniques, and knowing when and how the techniques might be useful in a business setting. Students should develop abilities to identify, analyze and solve financial problems.
Sustainable finance integrates environmental, social and governance (ESG) criteria into business and investment decisions for sustainable outcomes, which include reducing inequality, improving inclusiveness, reducing pollution, and mitigating and adapting to the adverse effects of climate change, among others.This course is the study of finance and sustainability as an integrated subject beginning with an introduction of financial and investment principles and moving towards financial analysis, financing, valuation, responsible investment and impact investing. The course covers diverse aspects of sustainable investments and offers tools for effective financial valuation and effective risk assessment. The perspective proposed by this course is motivated by the desire of corporations for continued prosperity, expansion and in some cases even to promote their own survival.
• Wealth ManagementThis course aims to provide students with a practical and foundational understanding of wealth management. The course will help students examine the role of private bankers, portfolio managers, and wealth planners in serving high-net-worth individuals and their families in the management, growth, and preservation of wealth, and how the ownership of such wealth can be better organized and distributed as a legacy for the next generation. It also examines the development of private banking and wealth management over the years and the challenges for private bankers in the years ahead.
• Introduction to Alternative Investments
• Sustainability Principles & Practices
• Sustainability Reporting
• Machine Learning in Finance
This course covers essential machine-learning techniques in finance. The emphasis is placed on financial applications and how can they transform the finance industry. This course will go into detail about some selected topics such as artificial neural networks and decision trees, and support vector machines. This course will also train the students’ soft skills through the group project on realistic data analysis problems.
• Blockchain Systems: Concepts & Principles
This is an introductory course to equip students with basic knowledge of blockchain. Students will study the basic building blocks of a blockchain network. From a financial perspective, students will also study how to evaluate cryptocurrency as a new alternative asset class. We will study how applied cryptography techniques are crucial to the operation of a blockchain. Two example blockchains are explored in more depth: Bitcoin and Ethereum. For Ethereum, we will also look at Smart Contracts. From an enterprise perspective, we will study how blockchains can be engineered for enterprise adoption.
- Please view trimester calendar* here.
*For reference only. The university reserves the right to revise the programme structure and schedule as appropriate.