Learn the Finer Points of Financial Management The online Master of Science in Financial Management (MSFM) at Boston University‘s Metropolitan College provides a specialized education in global quantitative finance, including investment analysis and international finance. The program provides a hands-on, immersive financial analytics experience, including a significant amount of statistical analysis, forecasting techniques, and programming, preparing you for leadership roles in modern global finance. The Financial Management master‘s program is designed for students seeking careers in corporate finance, financial management, investments, and multinational finance.
The program includes optional concentrations in:
The MS in Financial Management is also available on campus in Boston. Learn more .
Curriculum A total of 32 units is required.
Students not pursuing a concentration must complete the core courses and the four “no concentration” courses. Students pursuing a concentration should review the requirements for AI Applications , International Finance , Investment Analysis , or Sustainability.
Core Courses
(Four courses/16 units)
MET AD 504 4 credits.
Introduction to the concepts, methods, and problems of financial and managerial accounting. Includes data accumulation, accounting principles, financial statement analysis, measurement and disclosure issues, cost analysis, budgeting and control, production costs, and standard costs.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Independent
M
06:00:00 PM–08:45:00 PM
COM 215
Section A2, FALL 2026 Sep 2nd to Dec 10th
Independent
T
12:30:00 PM–03:15:00 PM
STH 113
Section O1, FALL 2026 Sep 1st to Oct 19th
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 522 4 credits.
Emphasizes issues in accounting, finance, and economics that are important for managers in various corporate finance settings. Stresses understanding financial statements, planning and control, cost and benefit evaluation, cash flow analysis, capital budgeting, risk/return tradeoff, efficient markets hypothesis, cost of capital, capital structure, and corporate governance. Connect corporate finance theory with real-world practice.
Section A2, FALL 2026 Sep 2nd to Dec 10th
Ge
Independent
W
06:00:00 PM–08:45:00 PM
CAS B06B
Section A3, FALL 2026 Sep 2nd to Dec 10th
Ge
Independent
R
12:30:00 PM–03:15:00 PM
MUG 205
Section O2, FALL 2026 Oct 27th to Dec 14th
Ge
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 678 4 credits. Fall and Spring
Financial Regulation and Ethics is a course designed to thoroughly review the important topics of financial regulations, policies, and ethics. The course will explore an overview of the financial systems, their history, problems, and issues for the purpose of understanding the enactment of regulations as a method to protect the financial systems and investors. Also, regulators and their authority will be identified, both domestically and internationally. Ethics, an extremely important aspect of finance will be discussed and explored. Ethics is a difficult topic to define and can be impacted by social norms. During the ethics portion of the course, students will study where ethics have failed and caused major issues for the financial marketplace and individual companies.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Independent
M
02:30:00 PM–05:15:00 PM
EPC 208
Section A2, FALL 2026 Sep 2nd to Dec 10th
Athaide
Independent
T
06:00:00 PM–08:45:00 PM
CAS 116
Section O2, FALL 2026 Oct 27th to Dec 14th
Vodenska
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 685 4 credits. Fall and Spring
Prerequisite: MET AD 100 Lab. Finance is a highly competitive and dynamic industry that demands quantitative-oriented professionals. This course equips students with empirical techniques which are used in the analysis of financial markets, with a strong focus on financial applications using actual data. The goal of this course is to provide students with a number of econometric techniques which are used in the analysis of financial markets based on asset pricing and corporate finance models. In particular, the emphasis is on classical linear regression models, time series analysis, and limited dependent variable models applied to the following topics: predictability of asset returns; event study analysis; econometric tests of the CAPM and multifactor models; and volatility modeling.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Julio
Independent
T
06:00:00 PM–08:45:00 PM
MCS B31
Section A2, FALL 2026 Sep 2nd to Dec 10th
Julio
Independent
W
06:00:00 PM–08:45:00 PM
CAS 208
Section O1, FALL 2026 Sep 1st to Oct 19th
Julio
Independent
ARR
12:00:00 AM–12:00:00 AM
No Concentration
(Four courses/16 units)
MET AD 712 4 credits. Fall and Spring
Investigates and analyzes organization, structure, and performance of US money and capital markets and institutions. Examines regulation of the financial industry and the role of financial instruments.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Independent
M
06:00:00 PM–08:45:00 PM
CAS 222
Section O2, FALL 2026 Oct 27th to Dec 14th
Chee
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 714 4 credits. Fall and Spring
Prerequisites: MET AD 522. This course examines the corporate valuation process by which takeovers and other corporate control transactions take place. It includes financial forecasting, based on expectation models, scenario analysis, and due diligence. Of particular interest will be the defensive measures by management against hostile bids, buyout transactions, the relation of takeovers to capital structure changes, and the insider trading in takeover contests.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Independent
W
06:00:00 PM–08:45:00 PM
COM 217
Section O2, FALL 2026 Oct 27th to Dec 14th
Julio
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 717 4 credits. Fall and Spring
Prerequisite: MET AD 685. This course develops a framework for understanding the various types of financial decision making faced by financial managers and provides students with analytical tools for evaluating portfolio construction and management problems in a systematic manner. Includes analysis and determination of securities values. Problems of investment policy are approached through studies of portfolio selection methods and the valuation of special classes of securities. It offers quantitative strategies for portfolio diversification and risk management.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Independent
T
06:00:00 PM–08:45:00 PM
PSY B53
Section O1, FALL 2026 Sep 1st to Oct 19th
Independent
ARR
12:00:00 AM–12:00:00 AM
And one general elective chosen with an academic advisor:
Elective Courses
MET AD 528 4 credits. Fall and Spring
Cryptocurrencies and the underlying distributed ledger technology (blockchain), have exploded into public consciousness over the last few years, with many industry practitioners arguing that the blockchain technology has the potential to disrupt business and financial services in the way the Internet disrupted off-line commerce. This course covers digital currencies, blockchains, and related topics in the FinTech area using the analytical tools provided by economics, investments and corporate finance.
MET AD 561 4 credits. Fall and Spring
Prerequisite: MET AD 100 Lab - This course presents financial algorithms used in applications of computer science in financial decision analysis, risk management, data mining and market analysis, and other modern business processes. The course covers theoretical background on probabilistic methods used for financial decision making and their application in number of fields such as financial modeling, venture capital decision making, operational risk measurement and investment science. Number of financial applications and algorithms are being presented for portfolio risk analysis, modeling real options, venture capital decision making, etc. The course concludes with algorithms for financial risk assessment and presents the security concepts and challenges of financial information systems.
Section O2, FALL 2026 Oct 27th to Dec 14th
Page
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 580 4 credits. Fall and Spring
Prerequisites: MET AD 717 or consent of instructor.- A comprehensive investments course introducing important aspects of investing, including environmental, social, and governance issues, and their role in corporate risk management, financial markets, and investments, presented from the viewpoint of market participants and corporate leadership. The course incorporates the mechanics of investing sustainably, with long-term planning on a micro and macro level. Topics will include an introduction and understanding of the ESG market, defining the environmental, social, and governance factors important for investment decision-making, and the importance of corporate engagement and stewardship. The course will also cover ESG analysis, valuation, and integration in portfolio management.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Nielsen
Independent
W
02:30:00 PM–05:15:00 PM
SOC B63
MET AD 581 4 credits. Fall and Spring
The goal of the course is to give the student a clear, practical understanding of significant pieces of the energy "puzzle" as a guide to understanding how energy is produced and consumed -- as market forces dictate - both in the United States and abroad. Students considering this course can have various backgrounds/knowledge of energy, but most importantly, an interest in understanding the transitions needed to achieve climate-related goals. The student will be challenged to explore energy transition opportunities and decarbonization's imperative through finance, policy, markets, and regulation.
MET AD 587 4 credits. Fall and Spring
Prerequisite: MET AD 100 Lab. This course expands upon the foundations of finance theory with interdisciplinary approaches from statistical physics and machine learning. The course equips the students with the Python tools to tackle a broad range of problems in quantitative financial analysis and combines the study of relevant financial concepts with computational implementations. Students will learn to use packages like Numpy, Pandas, Statsmodels and Scikit, which are commonly used in research and in the industry.
MET AD 599 4 credits. Fall and Spring
Corequisite - MET AD 100 Lab. Python is a modern, high-level programming language. One of the most popular programming languages, its use has steadily increased across a large number of industries. This course introduces students to the Python environment and teaches a solid foundation in the basic syntax and structure. Structured Query Language (SQL) is the most common language globally for interacting with relational databases. Employers have indicated that knowledge of SQL is one of the most important skills for new graduates entering the workforce. Even with advances in database technologies and languages for handling heterogeneous data types, SQL remains the core skill for interacting with data. This course introduces both languages to equip students pursuing an analytics education with the skills necessary to succeed in the analytics and data visualization field. The outcome of this course will be a focused around gaining knowledge of Python and SQL designed to equip analytics professionals rather than a deep focus on computer science programming concepts.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Valath Bhuan Das
Independent
M
06:00:00 PM–08:45:00 PM
MCS B31
Section A2, FALL 2026 Sep 2nd to Dec 10th
Yu
Independent
W
06:00:00 PM–08:45:00 PM
MCS B29
Section O2, FALL 2026 Oct 27th to Dec 14th
Yu
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 616 4 credits. Fall and Spring
Prerequisite: MET AD 571 - The course offers an overview of the key current and emerging enterprise risk analytical approaches used by corporations and governmental institutions and is focused on understanding and implementing the enterprise risk management framework on how to leverage the opportunities around a firm to increase firm value. The major risk categories of the enterprise risk management such as financial risk, strategic risk, and operational risk will be discussed and risk analytics approaches for each of these risks will be covered. Students will learn how to use interlinked analytics models, business statistics, optimization techniques, simulation, and decision-support tools. An integrated enterprise risk analytics approach will be demonstrated with examples from different functional areas of the enterprise. Python and R software are used in this course.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Parzen
Independent
T
06:00:00 PM–08:45:00 PM
MCS B29
Section O2, FALL 2026 Oct 27th to Dec 14th
Ritt
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 633 4 credits.
This course equips students with the skills and knowledge to drive social change through innovative entrepreneurial ventures. It explores the fundamental frameworks and theories of social innovation while teaching students how to identify and tackle social needs effectively. Participants will learn to create sustainable business models that are both economically viable and scalable, ensuring a long-term impact. The curriculum includes strategies for scaling social ventures, measuring their impact, and engaging with diverse stakeholders to promote collaborative change. Students will examine various funding options available to social entrepreneurs, such as impact investing and crowdfunding, and discover how to influence policy and advocate for supportive environments.
Section O1, FALL 2026 Sep 1st to Oct 19th
Goncalves
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 654 4 credits. Fall and Spring
Prerequisite: MET AD 571. Become familiar with the foundations of modern marketing analytics and develop your ability to select, apply, and interpret readily available data on customer purchase behavior, new customer acquisition, current customer retention, and marketing mix optimization. This course explores techniques to support the managerial decision-making process and skills in using state-of-the-art statistical and analytics tools. Students will gain a basic understanding of how transaction and descriptive data are used to construct customer segmentation schemas, build and calibrate predictive machine learning models, and quantify the incremental impact of specific marketing actions. Python and Tableau are used in this course. No prior Python experience is required.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Page
Independent
W
06:00:00 PM–08:45:00 PM
EPC 208
MET AD 688 4 credits. Fall and Spring
Prerequisite: MET AD571 Work with large, complex datasets beyond traditional desktop analytics using Apache Spark (PySpark), DuckDB, Polars, SQL-based data warehousing, and AWS cloud services. You will explore SQL databases through AWS’ Relational Database Service (RDS), learn to build feature engineering pipelines, and scalable machine-learning workflows using Spark MLlib. Key topics include cloud computing parallel processing, management of massive data stores, cloud data architectures, web scraping, API-based data collection, text and web mining, and batch and streaming analytics. You will develop an end-to-end analytics solution from data ingestion and cleaning to modeling, evaluation, and communication, using Python (PySpark), SQL, Git, and GitHub in a cloud-ready AWS environment. By the end of the course, you will be able to design scalable analytics pipelines, manage cloud data environments, and apply distributed machine learning to real-world datasets. The course culminates in a term project implementing a complete big data and cloud analytics workflow.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Padalkar
Independent
M
02:30:00 PM–05:15:00 PM
MCS B29
Section O1, FALL 2026 Sep 1st to Oct 19th
Padalkar
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 698 4 credits.
Corequisite: MET AD 100 Lab. This course is designed for analytics developers and advanced business students seeking to build practical, production-ready Generative AI (GenAI) Applications. Emphasizing hands-on learning, students will explore key techniques such as, Natural Language Processing, Recurrent Neural Networks and Transformer Architectures, prompt engineering, in-context learning (ICL), retrieval-augmented generation (RAG), Agentic Artificial Intelligence, and responsible AI design. Students will work with open-source tools and APIs including LangChain, LlamaIndex, and embedding models, while learning to implement GenAI systems across the entire development lifecycle — from prompt design and knowledge retrieval to fine-tuning and deployment. This course bridges the gap between business analytics fluency and technical AI development, equipping students to build domain-specific LLM applications that solve real-world problems.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Padalkar
Independent
T
06:00:00 PM–08:45:00 PM
CAS B06B
MET AD 699 4 credits. Fall and Spring
Prerequisites: AD571
Enterprises, organizations, and individuals are creating, collecting, and using a massive amount of structured and unstructured data with the goal of converting the information into knowledge, improving the quality and the efficiency of their decision-making process, and better positioning themselves in the highly competitive marketplace. Data mining is the process of finding, extracting, visualizing, and reporting useful information and insights from both small and large datasets with the help of sophisticated data analysis methods. It is part of business analytics, which refers to the process of leveraging different forms of analytical techniques to achieve desired business outcomes through requiring business relevancy, actionable insight, performance management, and value management. The students in this course will study the fundamental principles and techniques of data mining. They will learn how to apply advanced models and software applications for data mining. Finally, students will learn how to examine the overall business process of an organization or a project with the goal of understanding (i) the business context where hidden internal and external value is to be identified and captured, and (ii) exactly what the selected data mining method does. Python, R, SQL, and Power BI software are used in this course.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Athaide
Independent
R
06:00:00 PM–08:45:00 PM
MCS B29
Section O2, FALL 2026 Oct 27th to Dec 14th
Athaide
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 709 4 credits. Fall and Spring
Prerequisite: MET AD 522. The course will help you to leverage what you have learned in both accounting and finance and apply that knowledge to current issues in the business world in areas such as Business Ethics; Corporate Responsibility, ESG & Responsible Investing; Risk Management; Financial Forecasting; Cost of Capital & Rate of Return; Organic Growth Strategies; Valuation; Mergers & Acquisitions; Turnarounds and Bankruptcies.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Independent
M
06:00:00 PM–08:45:00 PM
CDS 263
MET AD 713 4 credits. Fall and Spring
Prerequisite: MET AD 522. The course will help you to leverage what you have learned in both accounting and finance and apply that knowledge to current issues in the business world in areas such as Business Ethics; Corporate Responsibility, ESG & Responsible Investing; Risk Management; Financial Forecasting; Cost of Capital & Rate of Return; Organic Growth Strategies; Valuation; Mergers & Acquisitions; Turnarounds and Bankruptcies.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Holmes
Independent
W
02:30:00 PM–05:15:00 PM
EPC 204
MET AD 719 4 credits. Fall and Spring
Prerequisite: MET AD 685. This course covers the nature and analysis of fixed income securities and an in-depth examination of some of the particular features of some major classes of fixed income instruments, valuation, sensitivity to risks, and management of fixed income portfolios.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Chee
Independent
W
06:00:00 PM–08:45:00 PM
MCS B31
Section O2, FALL 2026 Oct 27th to Dec 14th
Chee
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 744 4 credits. Fall and Spring
Provides analysis of the economics of innovation and the means by which firms secure the necessary capital to begin or expand operations. The students learn different procedures for raising venture capital through investment institutions and individuals.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Nielsen
Independent
R
12:30:00 PM–03:15:00 PM
STH B20
Section E2, FALL 2026 Sep 2nd to Dec 10th
Nielsen
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 763 4 credits. Fall and Spring
Prerequisite: MET AD 685. Applies the concepts of corporate finance and risk mitigation to the problems of multinational financial management. Major topics include foreign exchange risk, and construction of hedging strategies using derivative instruments such as forwards, futures, and swaps to reduce multinational corporate risk. Addresses international financial flows and their impact on foreign exchange rates, capital flows, speculation, analysis of alternative foreign investments, analysis of sources and uses of corporate funds abroad, multinational tax and profit.
MET AD 799 4 credits. Fall and Spring
Prerequisites: MET AD 599 and MET AD 571. - This course focuses on applying deep learning techniques to solve practical problems in business analytics. Students will explore foundational concepts of deep learning, including MLPs (Multi-Layer Perceptrons), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and advanced architectures like Generative Adversarial Networks (GANs), Graph Neural Networks (GNNs), and Transformers. Through lectures, hands-on projects, and real-world datasets, students will develop the skills to design, train, and optimize deep learning models to extract insights and drive decision-making in business contexts.
MET CS 521 4 credits. Fall and Spring
BU Hub Learn More Creativity/Innovation Critical Thinking Quantitative Reasoning II
Prerequisite: Programming experience in any language. Or Instructor's consent. Explore the object-oriented approach to software design and development using Python. You will engage in a detailed discussion of programming concepts starting with the fundamentals of data types, control structures methods, classes, arrays and strings, and proceed to more advanced topics such as inheritance and polymorphism, creating user interfaces, exceptions and streams. Upon completion of this course, you will be able to apply software engineering principles to design and implement Python applications that can be used with analytics and big data. Effective Fall 2021, this course fulfills a single unit in each of the following BU Hub areas: Creativity/Innovation, Critical Thinking, Quantitative Reasoning 2.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Pinsky
Independent
M
06:00:00 PM–08:45:00 PM
COM 217
Section A2, FALL 2026 Sep 2nd to Dec 10th
Lu
Independent
T
06:00:00 PM–08:45:00 PM
SHA 206
Section O1, FALL 2026 Sep 1st to Oct 19th
Mohan
Independent
ARR
12:00:00 AM–12:00:00 AM
Section O2, FALL 2026 Oct 27th to Dec 14th
Pinsky
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 664 4 credits.
Prerequisites: MET CS 248 and MET CS 342. - Study of the ideas and techniques that enable computers to behave intelligently. Search, constraint propagations, and reasoning. Knowledge representation, natural language, learning, question answering, inference, visual perception, and/or problem solving. Laboratory course.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Kalathur
Independent
W
06:00:00 PM–08:45:00 PM
SCI 115
Section O1, FALL 2026 Sep 1st to Oct 19th
Kalathur
Independent
ARR
12:00:00 AM–12:00:00 AM
MET UA 549 4 credits. Fall
What makes a city sustainable and resilient? In this course, you’ll explore how urban planners and communities address real-world challenges from land use and urban form at the site level and regional scale, to healthy communities, water, energy, economic development, green infrastructure, and transportation.
Through readings, discussions, site visits, guest speakers, and hands-on projects, you’ll learn the key concepts behind sustainable and resilient urban design, including land use, green infrastructure, water and energy systems, and economic development. You’ll see how planners work with multiple stakeholders to ask the right questions, evaluate solutions, and make decisions that balance environmental, social, and economic goals. While the focus is on U.S. cities, with Boston as a primary example, you’ll also examine international perspectives and comparative examples. By the end of the course, you’ll be able to critically assess sustainability and climate adaptation strategies, propose high-level solutions to urban challenges, and understand the role planners—and other professionals—play in shaping cities that are adaptable, just, and prepared for the future.
MET UA 617 4 credits. Fall and Spring
How are cities responding to the defining challenge of our time—climate change? This course explores how urban areas can both reduce their impact on the planet and adapt to the changes already underway. You’ll learn how climate change affects people, infrastructure, and systems at the local level, and how planners and communities can assess risks, evaluate strategies, and implement solutions. Using examples from the Boston region and beyond, the course covers building energy and emissions, sustainable transportation, zero-waste management, vulnerability assessments, and resilience planning. Through case studies, discussions, and applied exercises, you’ll gain the skills to analyze climate impacts, engage stakeholders, and develop actionable strategies. By the end of the course, you’ll understand how cities can become more sustainable, resilient, and prepared for the future.
Master’s Thesis Option
(Two courses/8 units)
Students have the option to complete a master’s thesis in addition to the program’s eight course (32 unit) requirements. The thesis must be completed within 12 months and is available to master’s candidates who have completed at least five courses toward their degree and have a GPA of 3.7 or higher. Students are responsible for finding a thesis advisor and a principal reader within the department. The advisor must be a full-time faculty member; the principal reader may be a part-time faculty member with a doctorate. Permission must be obtained by the department.
MET AD 800 Var credits. Fall and Spring
Prerequisites: Six completed program courses. An extensive research project culminating in a written paper and oral defense. Research is conducted under intensive faculty supervision. Requires department approval and thesis supervisor from full-time faculty.
Section A1, FALL 2026 Sep 2nd to Dec 10th
MET AD 801 Var credits. Fall and Spring
Prerequisites: MET AD 800. The second course of an extensive research project culminating in a written paper and oral defense. Research is conducted under intensive faculty supervision. Requires department approval and thesis supervisor from full-time faculty.
Section A1, FALL 2026 Sep 2nd to Dec 10th
Goncalves
Directed Study
ARR
12:00:00 AM–12:00:00 AM
View BU MET’s academic calendar for online programs, including important dates and deadlines.
Learn about application requirements for BU MET graduate degree and certificate programs.
How You Benefit from a
A BU credential can help lay the foundation for career advancement and personal success.
Benefit from an average 24:1 student-to-instructor ratio. Work closely with highly qualified faculty who draw from active research and substantial professional achievements in areas such as international finance, financial analysis, portfolio management, systemic risk analysis, investment analysis, mergers and acquisitions, economics, financial markets and institutions, and more. Focus on practical, hands-on lessons that ensure you are immersed in all aspects of financial management and related research—education you can apply on the job. Expand upon classic theory taught in traditional MBA courses, gaining the insights, critical thinking, and analytical skills needed to solve problems in today’s changing financial landscape As part of the Chartered Financial Analyst (CFA) Institute University Affiliation Program, MET’s MS in Financial Management curriculum embeds a significant portion of the CFA Program Candidate Body of Knowledge (CBOK) and covers the Standards of Practice Handbook, offering excellent preparation for the internationally recognized CFA® Program exams. In addition, scholarships for the CFA Program exam are available to enrolled students. Learn from the best—since 2014, BU MET’s part-time master’s programs in business and management have been ranked among the top in the nation by U.S. News & World Report . All graduate students are automatically considered for merit scholarships during the application process and nominated based on eligibility. Learn more .
Rankings & Accreditations
#12 Best Online Master’s in Business Programs (Excluding MBA)
MET’s online master’s degrees in management are ranked #12 in the nation by U.S. News & World Report .
Accredited member of AACSB International
The Association to Advance Collegiate Schools of Business (through BU’s Questrom School of Business)
MET’s Master’s in Financial Management is part of the CFA Institute University Affiliation Program.
Graduate with Financial Management Expertise
Students who complete the master‘s degree in Financial Management will be able to:
Understand quantitative analysis in financial management and investment decision-making. Demonstrate proficiency in application of mathematical and statistical modeling in financial analytics. Master forecasting techniques to the analysis of problems of business organizations and performance. Comprehend optimization theories and data analytics techniques in portfolio management. Perform data organization, analysis, and visualization for financial decision-making.
“The financial management program exceeded my expectations because the courses introduced the finance realm in a practical and comprehensive manner rather than focusing solely on formulas and theories…My master’s degree not only qualified me for more job opportunities, but also broadened my career options. Read more.” Read more.
Dezhen Liu (MET’23) Actuarial Analyst, Aetna MS, Financial Management
Advance Your Career
BU MET’s Financial Management master’s prepares you for a wealth of different roles, such as financial analyst, investment analyst, finance manager, financial advisor, equity research analyst, financial planner, wealth analyst, equity/credit research analyst, and mergers and acquisitions analyst, among others.
Recent graduates have found job opportunities and career paths at companies such as:
JP Morgan HSBC Goldman Sachs Broad Institute of MIT and Harvard Pratt & Whitney Pacific Gas and Electric Company (PG&E)
AllClear Aerospace & Defense PwC Delaware North Copa Airlines Youth Today
Take Advantage of Career Resources at BU MET
You will find the support you need in reaching your career goals through MET’s Career Development office , which offers a variety of job-hunting resources, including one-on-one career counseling by appointment for online students. You can also take advantage of tools and resources available online through BU’s Center for Career Development .
Financial Management Faculty
Professor of Finance
Director, Finance Programs
Chair, Administrative Sciences
Associate Professor of the Practice, Administrative Sciences
Coordinator, Financial Management
Assistant Professor, Administrative Sciences
Senior Lecturer, Administrative Sciences
Assistant Professor, Administrative Sciences
Visiting Associate Professor, Administrative Sciences
Interested in Learning More?
