MS in Financial Management
The Master of Science (MS) in Financial Management at Boston University’s Metropolitan College is designed for students seeking specialized education in global quantitative finance. Students are offered a hands-on, immersive financial analytics experience, including a significant amount of statistical analysis, forecasting techniques, and programming. The program prepares students to become leaders in modern global finance. Students are exposed to courses requiring data organization, analysis, and visualization to aid financial decisionmaking and risk management. To prepare students for the analytical and programming curriculum, they are supported by several laboratories that cover mathematics and statistics with applications in management, advanced Excel, R, and Python. Additionally, students are encouraged to work on projects and a master thesis involving various aspects of data analysis, using data to extract and present helpful information for financial and investment decisionmaking. Students use sophisticated tools to design comprehensive visualization of significant organizational trends and prepare convincing presentations. The program equips students to navigate the implications of AI in finance and to understand the trends in sustainability and corporate social responsibility.
The Master of Science in Financial Management program offers concentrations in Artificial Intelligence Applications, Investment Analysis, International Finance, and Sustainability.
This program requires an average of 8–16 months to complete. Students may begin the program in the fall, spring, or summer term.
Learning Outcomes
- Understanding of quantitative analysis in financial management and investment decisionmaking.
- Proficiency in application of mathematical and statistical modeling in financial analytics.
- Mastery in forecasting techniques to the analysis of problems of business organizations and performance.
- Comprehension of optimization theories and data analytics techniques in portfolio management.
- Knowledge and ability to perform data organization, analysis, and visualization for financial decisionmaking.
Admissions Information
For current admissions information, please visit the Metropolitan College website.
Degree Requirements
Students are required to finish the core courses and either four “no concentration” courses or a concentration in Artificial Intelligence Applications, International Finance, Investment Analysis, or Sustainability.
A total of eight courses (32 units) is required, as follows:
Core Courses (four courses/16 units)
- MET AD 504 Financial and Managerial Accounting
- MET AD 522 Corporate Finance
- MET AD 678 Financial Regulation and Ethics
- MET AD 685 Quantitative Methods for Finance
No Concentration (four courses/16 units)
Students not pursuing a concentration in Artificial Intelligence Applications, International Finance, Investment Analysis, or Sustainability must complete the degree core courses as well as the following four courses:
- MET AD 712 Financial Markets and Institutions
- MET AD 714 Mergers and Acquisitions
- MET AD 717 Investment Analysis and Portfolio Management
- One general elective chosen with an academic advisor
General Electives
- MET AD 528 Blockchain Finance
- MET AD 561 Financial Analytics
- MET AD 580 Environmental, Social, and Governance (ESG) Investments
- MET AD 581 Energy Transition: Markets and Regulation
- MET AD 587 Interdisciplinary Methods for Quantitative Finance
- MET AD 599 Introduction to Python and SQL for Business Analytics
- MET AD 616 Enterprise Risk Analytics
- MET AD 633 Social Innovation and Entrepreneurship
- MET AD 654 Marketing Analytics
- MET AD 688 Cloud Analytics for Business
- MET AD 698 Applied Generative AI for Business Analytics
- MET AD 699 Data Mining for Business Analytics
- MET AD 709 Case Studies in Current Corporate Financial Topic
- MET AD 713 Derivative Securities and Markets
- MET AD 719 Fixed Income Analysis
- MET AD 744 Venture Finance
- MET AD 763 Multinational Finance and Trade
- MET AD 799 Deep Learning for Business Analytics
- MET AD 808 Capstone Project in Financial Management
- MET CS 521 Information Structures with Python
- MET CS 664 Artificial Intelligence
- MET UA 549 Planning Sustainable and Climate Adapted Urban Futures
- MET UA 617 Actionable Sustainability
Concentrations
Artificial Intelligence Applications
Designed for professionals already working in, or seeking positions in, financial technology, algorithmic trading, quantitative analysis, and risk management, the concentration in Artificial Intelligence Applications provides in-depth knowledge of AI-driven financial modeling, data analytics, and machine learning techniques applied to finance. Graduates of this program will be equipped to excel in diverse careers where innovative, technology-enhanced solutions are needed for investment decisionmaking, market analysis, and operational efficiency.
The concentration in Artificial Intelligence Applications offers students the opportunity to learn advanced computational methods and algorithms that are transforming modern finance. Through a rigorous curriculum, students will integrate AI methodologies into the overall financial decisionmaking process, applying techniques such as natural language processing, predictive modeling, and deep learning to real-world financial challenges. Emphasis is placed on leveraging data-driven strategies for asset allocation, algorithmic trading, risk assessment, and fraud detection. This concentration ultimately empowers students to harness artificial intelligence in reshaping traditional finance practices and driving industry innovation.
Learning Outcomes
- Proficiency in designing, implementing, and managing AI algorithms and machine learning models to optimize financial portfolios and enhance risk-return profiles.
- Ability to apply statistical and computational modeling techniques to analyze large, complex financial datasets, extracting actionable insights for both equity and fixed income markets.
- Mastery of predictive analytics and forecasting tools to evaluate market trends, assess macroeconomic factors, and understand the impacts of monetary and fiscal policies on investment strategies.
- Understanding of how AI-driven systems are used in algorithmic trading and risk management, including the quantitative evaluation of automated strategies to reduce market volatility.
- Ability to organize, analyze, and visualize data effectively, enabling informed decisionmaking in domestic and global financial markets through the use of cutting-edge computational tools.
Concentration Requirements
In addition to the MS in Financial Management degree core courses (16 units), students pursuing a concentration in Artificial Intelligence Applications must also take the following concentration requirements and electives:
(four courses/16 units)
- MET AD 561 Financial Analytics
- MET AD 698 Applied Generative AI for Business Analytics
- MET CS 664 Artificial Intelligence
- One general elective chosen with an academic advisor
International Finance
Designed for professionals whose work involves multinational corporations and global financial markets. Students will be equipped to perform quantitative analysis to assess transnational organization challenges and address them efficiently. This concentration exposes students to hands-on analytics of foreign exchange risk, transaction and translation exposure, foreign direct investments, and multinational corporate strategic management. Graduates will be qualified for jobs in worldwide credit risk evaluation, quantitative strategies for global security selection, risk measurement and mitigation, cash management, and the impact of foreign exchange rates on the cost of capital and budgeting.
The concentration in International Finance will provide the necessary tools for students to navigate the international financial system, understand global portfolio management, and explore the balance of payments and international economic linkages. Students will be able to specialize in a highly desired area of quantitative finance.
Learning Outcomes
- Proficiency in multinational finance quantitative analysis, including international trade and cross-border mergers and acquisitions.
- Demonstrated ability to apply mathematical and statistical modeling in financial analytics in the context of multinational financial management.
- Mastery in forecasting techniques to the analysis of problems of multinational business organizations and performance.
- Ability to utilize financial statements and foreign exchange derivative instruments to assess and manage currency transactional and translational risk.
- Knowledge and ability to perform data organization, analysis, and visualization for global finance decisionmaking.
Concentration Requirements
In addition to the MS in Financial Management degree core courses (16 units), students pursuing a concentration in International Finance must also take the following concentration requirements and electives:
(four courses/16 units)
- MET AD 709 Case Studies in Current Corporate Financial Topics
- MET AD 717 Investment Analysis and Portfolio Management
- MET AD 763 Multinational Finance and Trade
- One general elective chosen with an academic advisor
Investment Analysis
Designed for professionals already working in, or seeking positions in, investment research, risk management, security selection, and portfolio management, the concentration in Investment Analysis provides in-depth knowledge of investment strategies, asset valuation, and investment management. Graduates of the program will be prepared to excel in a variety of careers in finance involving analysis and valuation of financial assets and risk management.
The investment analysis concentration offers students an opportunity to learn sophisticated portfolio management approaches, including quantitative techniques for portfolio optimization and rebalancing. Students will apply analytical methodologies within the overall investment process and utilize the critical elements, such as asset allocation and security selection, including specialized portfolios, such as ESG (Environmental, Social, and Governance)-focused investments. Students will also learn about services provided by mutual funds and be able to construct portfolios with different risk levels. Moreover, students will learn how to value a firm using constant growth or multistage dividend discount models, financial statements, and financial ratio analysis. The concentration in Investment Analysis provides students with an in-depth understanding of efficient portfolio management.
Learning Outcomes
- Proficiency in constructing and managing investment portfolios with different risk levels, and quantitatively assessing and adjusting portfolio risk-return profiles.
- The ability to apply mathematical and statistical modeling in financial analytics in the context of equity and fixed income portfolios.
- Mastery in forecasting techniques to the analysis of macroeconomic factors and monetary and fiscal policy effects on security selection and portfolio evaluation.
- Comprehension and quantitative evaluation of derivative instruments to assess their role in portfolio risk adjustment and risk hedging to reduce portfolio volatility.
- Knowledge and ability to perform data organization, analysis, and visualization for domestic and global portfolio management.
Concentration Requirements
In addition to the MS in Financial Management degree core courses (16 units), students pursuing a concentration in Investment Analysis must also take the following concentration requirements and electives:
(four courses/16 units)
- MET AD 713 Derivative Securities and Markets
- MET AD 717 Investment Analysis and Portfolio Management
- MET AD 719 Fixed Income Analysis
- And one of the following:
- MET AD 709 Case Studies in Current Corporate Financial Topics
- MET AD 712 Financial Markets and Institutions
- MET AD 714 Mergers and Acquisitions
- MET AD 763 Multinational Finance and Trade
Sustainability
Designed for professionals already working in, or seeking positions in, sustainable finance, socially responsible investing, corporate sustainability, and risk management, the concentration in Sustainability provides in-depth knowledge of integrating environmental, social, and governance (ESG) factors into financial decisionmaking. Graduates of this program will be equipped to excel in careers that balance financial performance with long-term environmental and social impact, driving transformative change in the financial industry.
The concentration in Sustainability offers students the opportunity to learn innovative portfolio management strategies that incorporate sustainability criteria into asset allocation, valuation, and risk management. Through a rigorous curriculum, students will apply cutting-edge analytical methodologies to assess the financial performance and societal impact of sustainable projects, renewable energy investments, green bonds, and ESG-driven strategies. Emphasis is placed on understanding the regulatory frameworks, market dynamics, and ethical considerations that shape sustainable finance. This concentration ultimately empowers students to lead initiatives that foster both financial success and a positive societal footprint.
Learning Outcomes
- Proficiency in designing and managing investment portfolios that integrate ESG factors, enabling the quantitative assessment and optimization of risk-return profiles in a sustainability context.
- Ability to combine quantitative and qualitative analyses to evaluate sustainability metrics alongside traditional financial data, leading to well-rounded, informed investment decisions.
- Mastery of the evaluation and execution of sustainable investment strategies, including impact investing, green bonds, and renewable energy projects, ensuring alignment with long-term environmental and social objectives.
- Ability to understand and analyze global sustainability frameworks, regulatory policies, and market trends, enabling the effective navigation of the evolving landscape of sustainable finance.
- Knowledge and ability to perform data organization, analysis, and visualization to monitor, report, and enhance sustainability performance for both domestic and global financial markets.
Concentration Requirements
In addition to the MS in Financial Management degree core courses (16 units), students pursuing a concentration in Sustainability Finance must also take the following concentration requirements and electives:
(four courses/16 units)
- MET AD 580 Environmental, Social, and Governance (ESG) Investments
- MET AD 633 Social Innovation and Entrepreneurship
- MET UA 617 Actionable Sustainability
- One general elective chosen with an academic advisor
Second Master’s Degree Option
In appreciation of the converging needs of management and technology, the departments of Actuarial Science, Administrative Sciences, and Computer Science collaborate to offer a unique opportunity to students currently enrolled in their degree programs as well as alumni of those programs. Learn more on the MET website.
Chartered Financial Analyst is a registered trademark owned by CFA Institute.
