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 2025 Sep 2nd to Dec 10th
Barskaya
Independent
M
06:00:00 PM–08:45:00 PM
CDS 364
Section A2, FALL 2025 Sep 2nd to Dec 10th
McGue
Independent
T
12:30:00 PM–03:15:00 PM
MET 101
Section O1, FALL 2025 Sep 2nd to Oct 20th
McGue
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 522 4 credits.
Prerequisite: MET AD 504. Emphasizes issues of accounting, finance, and economics that are important in most management contexts. Stresses understanding of financial statements, corporate planning and control, cost and benefit evaluation, cash flow analysis, and capital budgeting.
Section A1, FALL 2025 Sep 2nd to Dec 10th
Page
Independent
M
06:00:00 PM–08:45:00 PM
STH 325
Section A3, FALL 2025 Sep 2nd to Dec 10th
Ge
Independent
W
06:00:00 PM–08:45:00 PM
HAR 314
Section A4, FALL 2025 Sep 2nd to Dec 10th
Chee
Independent
R
12:30:00 PM–03:15:00 PM
CGS 123
Section O2, FALL 2025 Oct 28th to Dec 15th
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 2025 Sep 2nd to Dec 10th
Shimer
Independent
M
02:30:00 PM–05:15:00 PM
KCB 107
Section A2, FALL 2025 Sep 2nd to Dec 10th
Athaide
Independent
T
06:00:00 PM–08:45:00 PM
MET 101
Section O2, FALL 2025 Oct 28th to Dec 15th
Vodenska
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 685 4 credits. Fall and Spring
Finance is a highly competitive and dynamic industry that demands quantitative oriented professionals. This course will equip students with the 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 will be 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; volatility modelling, etc.
Section A1, FALL 2025 Sep 2nd to Dec 10th
Julio
Independent
M
06:00:00 PM–08:45:00 PM
PSY B51
Section A2, FALL 2025 Sep 2nd to Dec 10th
Page
Independent
T
06:00:00 PM–08:45:00 PM
EPC 207
Section A4, FALL 2025 Sep 2nd to Dec 10th
Julio
Independent
W
06:00:00 PM–08:45:00 PM
STH 113
Section O1, FALL 2025 Sep 2nd to Oct 20th
Julio
Independent
ARR
12:00:00 AM–12:00:00 AM
And one general elective chosen with an academic advisor:
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
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.
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 2025 Sep 2nd to Dec 10th
Nielsen
Independent
W
02:30:00 PM–05:15:00 PM
FLR 152
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
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. Prerequisites: MET AD 685 or PY 355 or equivalent or consent by the instructor.
MET AD 599 4 credits. Fall and Spring
Prerequisites: AD100 - 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 survey of Python and SQL topics designed to equip analytics professionals rather than a deep focus on technical programming topics.
Section A1, FALL 2025 Sep 2nd to Dec 10th
Valath Bhuan Das
Independent
M
06:00:00 PM–08:45:00 PM
MET 101
Section A2, FALL 2025 Sep 2nd to Dec 10th
Valath Bhuan Das
Independent
W
06:00:00 PM–08:45:00 PM
CAS 214
Section A3, FALL 2025 Sep 2nd to Dec 10th
Yu
Independent
M
06:00:00 PM–08:45:00 PM
EPC 206
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 data inputs, 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, R, SQL, and Power BI software are used in this course.
Section A2, FALL 2025 Sep 2nd to Dec 10th
Yu
Independent
T
06:00:00 PM–08:45:00 PM
PHO 203
Section A3, FALL 2025 Sep 2nd to Dec 10th
Yu
Independent
R
12:30:00 PM–03:15:00 PM
FLR 121
Section O2, FALL 2025 Oct 28th to Dec 15th
Yu
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.
MET AD 654 4 credits. Fall and Spring
Prereq: METAD 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 approaches and techniques to support the managerial decision-making process and skills in using state-of-the-art statistical and analytics tools. Students will have an opportunity to gain a basic understanding of how transaction and descriptive data are used to construct customer segmentation schemas, build and calibrate predictive models, and quantify the incremental impact of specific marketing actions. Python, R, SQL, and Power BI software are used in this course.
Section A1, FALL 2025 Sep 2nd to Dec 10th
Page
Independent
W
02:30:00 PM–05:15:00 PM
KCB 104
MET AD 688 4 credits. Fall and Spring
Prerequisites: AD571. - Explore web analytics, text mining, web mining, and practical application domains. The web analytics part of the course studies the metrics of websites, their content, user behavior, and reporting. The Google Analytics tool is used for the collection of website data and doing the analysis. The text mining module covers the analysis of text including content extraction, string matching, clustering, classification, and recommendation systems. The web mining module presents how web crawlers process and index the content of websites, how search works, and how results are ranked. Application areas mining the social web and game metrics will be extensively investigated. R, SQL, and Power BI software are used in this course.
Section A1, FALL 2025 Sep 2nd to Dec 10th
Padalkar
Independent
M
02:30:00 PM–05:15:00 PM
EPC 208
Section O1, FALL 2025 Sep 2nd to Oct 20th
Padalkar
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 698 4 credits.
Prerequisite: MET AD571
Generative AI is transforming industries by automating tasks, generating content, and assisting in decision-making. This hands-on course explores how business professionals, analysts, and managers can apply Generative AI to solve real-world business challenges. The course emphasizes practical AI applications, covering topics like prompt engineering, AI-driven workflow automation, AI-powered data analytics, and responsible AI practices. Students will gain experience using Jupyter Notebooks, VS Code, SQL, and GitHub to integrate AI into their workflows.
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 A2, FALL 2025 Sep 2nd to Dec 10th
Athaide
Independent
R
06:00:00 PM–08:45:00 PM
PSY B55
Section O2, FALL 2025 Oct 28th to Dec 15th
Athaide
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 709 4 credits. Fall and Spring
Undergraduate Prerequisites: METAD 630, METAD 731 - Prereq: METAD 630, METAD 731. This course involves utilizing analytical methods for financial forecasting, cost of capital calculation, rate of return analysis, use of derivatives instruments, business growth management, discounted cash flow analysis, corporate valuation, mergers & acquisitions, and evaluation of bankruptcy proceedings.
Section A1, FALL 2025 Sep 2nd to Dec 10th
Archbold
Independent
M
06:00:00 PM–08:45:00 PM
KCB 106
MET AD 713 4 credits. Fall and Spring
Undergraduate Prerequisites: METAD 630, METAD 731 - Prereq: METAD 630, METAD 731. Provides an overview of operation, mechanics, and structure of the derivative markets and covers in-depth quantitative valuation of derivative instruments, such as options, futures, and swaps. The course involves risk analysis including risk arbitrage, and risk management. Emphasizes the theory and practice of derivatives-based trading strategies including hedging opportunities for risk mitigation.
Section A1, FALL 2025 Sep 2nd to Dec 10th
Holmes
Independent
W
02:30:00 PM–05:15:00 PM
STH 113
MET AD 719 4 credits. Fall and Spring
Prereq: METAD 630, METAD 731. 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 2025 Sep 2nd to Dec 10th
Chee
Independent
W
06:00:00 PM–08:45:00 PM
CDS 264
Section O2, FALL 2025 Oct 28th to Dec 15th
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.
MET AD 763 4 credits. Fall and Spring
Graduate Prerequisites: (METAD 731) - Prereqs: AD 630, AD 731. 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.
Section A1, FALL 2025 Sep 2nd to Dec 10th
Sherman
Independent
W
06:00:00 PM–08:45:00 PM
COM 217
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
This course covers the concepts of the object-oriented approach to software design and development using Python. It includes a detailed discussion of programming concepts starting with the fundamentals of data types, control structures methods, classes, arrays and strings, and proceeding to advanced topics such as inheritance and polymorphism, creating user interfaces, exceptions and streams. Upon completion of this course students will be able to apply software engineering principles to design and implement Python applications that can be used in with analytics and big data. Effective Fall 2021, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Creativity/Innovation, Critical Thinking. Prerequisite: Programming experience in any language. Or Instructor's consent.
Section A1, FALL 2025 Sep 2nd to Dec 10th
Lu
Independent
M
06:00:00 PM–08:45:00 PM
KCB 102
Section A2, FALL 2025 Sep 2nd to Dec 10th
Mohan
Independent
T
06:00:00 PM–08:45:00 PM
PHO 202
Section O1, FALL 2025 Sep 2nd to Oct 20th
Pinsky
Independent
ARR
12:00:00 AM–12:00:00 AM
Section O2, FALL 2025 Oct 28th to Dec 15th
Bond
Independent
ARR
12:00:00 AM–12:00:00 AM
MET CS 664 4 credits.
Graduate Prerequisites: MET CS 248 and MET CS 341 or 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. Prereq: MET CS 341, MET CS 342, MET CS 520 or MET CS 521. Or instructor's consent.
Section A1, FALL 2025 Sep 2nd to Dec 10th
Kalathur
Independent
W
06:00:00 PM–08:45:00 PM
CAS 315
Section O1, FALL 2025 Sep 2nd to Oct 20th
Braude
Independent
ARR
12:00:00 AM–12:00:00 AM
MET UA 549 4 credits. Fall
Exploration of principles and practices essential for planning cities that are both sustainable and resilient to climate change. Strategies to create environmentally responsible, economically viable, and socially equitable urban futures will be examined. Key topics include climate adaptation and mitigation, green infrastructure, urban resilience, sustainable transportation, and energy-efficient urban design. Through case studies, policy analysis, and hands-on projects, students will develop the skills to design and implement innovative solutions that address the impacts of climate change while promoting sustainable urban development.
MET UA 617 4 credits. Fall and Spring
Sustainability generally refers to the ability of "systems" to be maintained such that they remain viable over long periods of time. As much as achieving the perfect sustainable equilibrium may be the ideal, it is important to recognize that there will be competing and conflicting interests, especially within complex hierarchical social, economic and ecological systems, particularly in light of ongoing climatic change. This field intensive course draws on the practices and theories of sustainability and climate change to understand what sustainability can mean in different contexts, and, more important, how nuanced, sustainable solutions can be achieved under varying conditions and in different systems. With an emphasis on the urban environment, the course will consist of projects in which students will identify, analyze, and develop practical proposals to real world issues. This course is intended for a wider audience from a range of disciplines.
Section A1, FALL 2025 Sep 2nd to Dec 10th
Bolduc
Independent
R
06:00:00 PM–08:45:00 PM
CDS 263
No Concentration
(Four courses/16 units)
MET AD 712 4 credits. Fall and Spring
Prereq: METAD 630, METAD 731. Investigation and analysis of organization, structure, and performance of U.S. money and capital markets, and institutions. Examines regulation of the financial industry and the role of financial instruments.
Section A1, FALL 2025 Sep 2nd to Dec 10th
Carvalho
Independent
M
06:00:00 PM–08:45:00 PM
EPC 208
Section O2, FALL 2025 Oct 28th to Dec 15th
Chee
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 714 4 credits. Fall and Spring
Prereq: METAD 630, METAD 731. 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 2025 Sep 2nd to Dec 10th
Ahmed
Independent
T
06:00:00 PM–08:45:00 PM
STH 113
Section O2, FALL 2025 Oct 28th to Dec 15th
Ayyad
Independent
ARR
12:00:00 AM–12:00:00 AM
MET AD 717 4 credits. Fall and Spring
Undergraduate Prerequisites: METAD 731 - Prereq AD 630, AD731. 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 2025 Sep 2nd to Dec 10th
Tomic
Independent
T
06:00:00 PM–08:45:00 PM
KCB 106
Section O1, FALL 2025 Sep 2nd to Oct 20th
Tomic
Independent
ARR
12:00:00 AM–12:00:00 AM
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.
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 2025 Sep 2nd to Dec 10th
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 Boston University Education
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 eligible students admitted to a graduate degree program are automatically considered for Merit Scholarships during the application process, based on the strength of their academic qualifications and professional experience. Learn more.
Rankings & Accreditations
#10 Best Online Master’s in Business Programs (Excluding MBA)
MET’s online master’s degrees in management are ranked #10 in the nation by U.S. News & World Report for 2025.
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) Vice President of Business Intelligence, Rockland Federal Credit Union 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
Assistant Professor, Administrative Sciences
Senior Lecturer, Administrative Sciences
Associate Professor of the Practice, Administrative Sciences
Assistant Professor, Administrative Sciences
Master Lecturer, Administrative Sciences
Interested in Learning More?
