Online MS in Financial Management—Sustainability

At a Glance

Completion Time

Months

Credits Required

Tuition

$26,140–$27,920

Part-Time*

*Based on 2026–2027 Boston University tuition and fees. Merit scholarship may reduce cost.

Develop Expertise in Sustainable and ESG-Focused Financial Management

The online MS in Financial Management concentration in Sustainability is designed for those pursuing careers in sustainable finance, socially responsible investing, corporate sustainability, and financial risk management. This innovative program equips you with the skills to integrate environmental, social, and governance (ESG) factors into strategic financial decision-making.

Through a rigorous curriculum, you will apply advanced analytical techniques to evaluate the financial performance and societal impact of sustainable investments, renewable energy projects, green bonds, and ESG-driven portfolios. The program emphasizes critical understanding of regulatory frameworks, market forces, and ethical considerations shaping the evolving landscape of sustainable finance. Graduates emerge ready to lead initiatives that drive financial growth while promoting positive environmental and social outcomes.

BU MET’s Financial Management master’s concentration in Sustainability teaches innovative portfolio management strategies that incorporate ESG criteria into asset allocation, valuation, and risk assessment. With this expertise, you’ll be well-prepared for leadership roles that balance profitability with long-term environmental and social responsibility, catalyzing transformative change across financial institutions.

As a participant in the Chartered Financial Analyst® Institute University Affiliation Program, BU MET’s MSFM curriculum embeds substantial portions of the CFA® Program Candidate Body of Knowledge™ (CBOK) and the Standards of Practice Handbook, providing outstanding preparation for the globally recognized CFA® exams, with scholarships for the exams available for enrolled students.

The MS in Financial Management, Sustainability concentration is also available on campus in Boston. Learn more.

Curriculum

A total of 32 units is required.

Students must complete the degree core courses and Sustainability concentration requirements.

Core Courses

(Four courses/16 units)

MET AD 504 Financial and Managerial Accounting

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
Instructor	Type	Days	Times	Location
Sam-Kwachie	Independent	M	06:00:00 PM–08:45:00 PM	COM 215

Section A2, FALL 2026 Sep 2nd to Dec 10th
Instructor	Type	Days	Times	Location
Liu	Independent	T	12:30:00 PM–03:15:00 PM	STH 113

Section O1, FALL 2026 Sep 1st to Oct 19th
Instructor	Type	Days	Times	Location
Liu	Independent	ARR	12:00:00 AM–12:00:00 AM

MET AD 522 Corporate Finance

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
Instructor	Type	Days	Times	Location
Ge	Independent	W	06:00:00 PM–08:45:00 PM	CAS B06B

Section A3, FALL 2026 Sep 2nd to Dec 10th
Instructor	Type	Days	Times	Location
Ge	Independent	R	12:30:00 PM–03:15:00 PM	MET 101

Section O2, FALL 2026 Oct 27th to Dec 14th
Instructor	Type	Days	Times	Location
Ge	Independent	ARR	12:00:00 AM–12:00:00 AM

MET AD 678 Financial Regulation and Ethics

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
Instructor	Type	Days	Times	Location
Athaide	Independent	M	02:30:00 PM–05:15:00 PM	MET 122

Section A2, FALL 2026 Sep 2nd to Dec 10th
Instructor	Type	Days	Times	Location
Carvalho	Independent	T	06:00:00 PM–08:45:00 PM	CAS 116

Section O2, FALL 2026 Oct 27th to Dec 14th
Instructor	Type	Days	Times	Location
Vodenska	Independent	ARR	12:00:00 AM–12:00:00 AM

MET AD 685 Quantitative Methods for Finance

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
Instructor	Type	Days	Times	Location
Julio	Independent	T	06:00:00 PM–08:45:00 PM	MCS B31

Section A2, FALL 2026 Sep 2nd to Dec 10th
Instructor	Type	Days	Times	Location
Julio	Independent	W	06:00:00 PM–08:45:00 PM	CAS 208

Section O1, FALL 2026 Sep 1st to Oct 19th
Instructor	Type	Days	Times	Location
Julio	Independent	ARR	12:00:00 AM–12:00:00 AM

Concentration Requirements

(Four courses/16 units)

MET AD 580 Environmental, Social, and Governance (ESG) Investments

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
Instructor	Type	Days	Times	Location
Nielsen	Independent	W	02:30:00 PM–05:15:00 PM	SOC B63

MET AD 633 Social Innovation and Entrepreneurship

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
Instructor	Type	Days	Times	Location
Goncalves	Independent	ARR	12:00:00 AM–12:00:00 AM

MET UA 617 Actionable Sustainability

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.

And one general elective chosen with an academic advisor:

Elective Courses

MET AD 561 Financial Analytics

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
Instructor	Type	Days	Times	Location
Page	Independent	ARR	12:00:00 AM–12:00:00 AM

MET AD 599 Python and SQL for Business Analytics

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
Instructor	Type	Days	Times	Location
Valath Bhuan Das	Independent	M	06:00:00 PM–08:45:00 PM	MET 101

Section A2, FALL 2026 Sep 2nd to Dec 10th
Instructor	Type	Days	Times	Location
Yu	Independent	W	06:00:00 PM–08:45:00 PM	MCS B29

Section O2, FALL 2026 Oct 27th to Dec 14th
Instructor	Type	Days	Times	Location
Yu	Independent	ARR	12:00:00 AM–12:00:00 AM

MET AD 616 Enterprise Risk Analytics

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
Instructor	Type	Days	Times	Location
Parzen	Independent	T	06:00:00 PM–08:45:00 PM	MCS B29

Section O2, FALL 2026 Oct 27th to Dec 14th
Instructor	Type	Days	Times	Location
Ritt	Independent	ARR	12:00:00 AM–12:00:00 AM

MET AD 654 Marketing Analytics

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
Instructor	Type	Days	Times	Location
Page	Independent	W	06:00:00 PM–08:45:00 PM	EPC 208

MET AD 688 Big Data and Cloud Analytics for Business

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
Instructor	Type	Days	Times	Location
Padalkar	Independent	M	02:30:00 PM–05:15:00 PM	MCS B29

Section O1, FALL 2026 Sep 1st to Oct 19th
Instructor	Type	Days	Times	Location
Padalkar	Independent	ARR	12:00:00 AM–12:00:00 AM

MET AD 698 Applied Generative AI for Business Analytics

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
Instructor	Type	Days	Times	Location
Padalkar	Independent	T	06:00:00 PM–08:45:00 PM	CAS B06B

MET AD 699 Data Mining for Business Analytics

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
Instructor	Type	Days	Times	Location
Athaide	Independent	R	06:00:00 PM–08:45:00 PM	MCS B29

Section O2, FALL 2026 Oct 27th to Dec 14th
Instructor	Type	Days	Times	Location
Athaide	Independent	ARR	12:00:00 AM–12:00:00 AM

MET AD 709 Case Studies in Current Corporate Financial Topics

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
Instructor	Type	Days	Times	Location
Julio	Independent	M	06:00:00 PM–08:45:00 PM	CDS 263

MET AD 713 Derivative Securities and Markets

4 credits. Fall and Spring

Prerequisite: MET AD 685. Provides an overview of the 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 2026 Sep 2nd to Dec 10th
Instructor	Type	Days	Times	Location
Holmes	Independent	W	02:30:00 PM–05:15:00 PM	SOC B57

MET AD 719 Fixed Income Analysis

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
Instructor	Type	Days	Times	Location
Ulusoy	Independent	W	06:00:00 PM–08:45:00 PM	MCS B31

Section O2, FALL 2026 Oct 27th to Dec 14th
Instructor	Type	Days	Times	Location
Chee	Independent	ARR	12:00:00 AM–12:00:00 AM

MET AD 744 Venture Finance

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
Instructor	Type	Days	Times	Location
Nielsen	Independent	R	12:30:00 PM–03:15:00 PM	STH B20

Section E2, FALL 2026 Sep 2nd to Dec 10th
Instructor	Type	Days	Times	Location
Nielsen	Independent	ARR	12:00:00 AM–12:00:00 AM

MET CS 521 Information Structures with Python

4 credits. Fall and Spring

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
Instructor	Type	Days	Times	Location
Pinsky	Independent	M	06:00:00 PM–08:45:00 PM	COM 217

Section A2, FALL 2026 Sep 2nd to Dec 10th
Instructor	Type	Days	Times	Location
Lu	Independent	T	06:00:00 PM–08:45:00 PM	SHA 206

Section O1, FALL 2026 Sep 1st to Oct 19th
Instructor	Type	Days	Times	Location
Mohan	Independent	ARR	12:00:00 AM–12:00:00 AM

Section O2, FALL 2026 Oct 27th to Dec 14th
Instructor	Type	Days	Times	Location
Pinsky	Independent	ARR	12:00:00 AM–12:00:00 AM

MET CS 664 Artificial Intelligence

4 credits.

Prerequisites: MET CS 521 or equivalent. - Study of the ideas and techniques that enable computers to behave intelligently. Search, constraint propagation, and reasoning. Knowledge representation, natural language, learning, question answering, inference, visual perception, and/or problem solving. Agent frameworks for developing modern agents are explored. Laboratory course.

Section A1, FALL 2026 Sep 2nd to Dec 10th
Instructor	Type	Days	Times	Location
Kalathur	Independent	W	06:00:00 PM–08:45:00 PM	SCI 115

Section O1, FALL 2026 Sep 1st to Oct 19th
Instructor	Type	Days	Times	Location
Kalathur	Independent	ARR	12:00:00 AM–12:00:00 AM

MET UA 549 Planning Sustainable and Climate Adapted Urban Futures

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.

Master’s Thesis Option

Dates & Deadlines

View BU MET’s academic calendar for online programs, including important dates and deadlines.

Application Requirements

Learn about application requirements for BU MET graduate degree and certificate programs.

Wind turbines overlayed with an illustration of financial data

How You Benefit from a
Boston University Education

A BU credential can help lay the foundation for career advancement and personal success.

Benefit from a 24:1 average 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

U.S. News & World Report - Best Online Programs - Grad Business - 2026

#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 Financial Management master’s degree concentration in Sustainability will be able to demonstrate:

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.
The 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.
The 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.

Advance Your Career

BU MET’s Financial Management master’s prepares you for a wealth of different roles that involve integrating sustainability principles into financial analysis, investment decision-making, risk management, and corporate strategy across financial institutions, asset management firms, consultancy agencies, and corporations committed to ESG goals. Typical job titles include sustainable finance analyst; ESG investment analyst; corporate sustainability manager; responsible investment specialist; environmental, social, and governance (ESG) consultant; green finance advisor; socially responsible investing (SRI) analyst; sustainable portfolio manager; risk manager (sustainability focus); impact investing analyst; climate finance specialist; ESG research analyst; sustainability reporting analyst; and chief sustainability officer (with financial expertise); 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

Irena Vodenska

Professor of Finance

Director, Finance Programs

Chair, Administrative Sciences

Lin Ge

Associate Professor of the Practice, Administrative Sciences

Coordinator, Financial Management

Christopher Athaide

Assistant Professor, Administrative Sciences

San Chee

Senior Lecturer, Administrative Sciences

Ivan F. Julio

Assistant Professor, Administrative Sciences

Maruška Vizek

Visiting Associate Professor, Administrative Sciences

Interested in Learning More?

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Finance

Online Master of Science in Financial Management, Sustainability Concentration

At a Glance

Develop Expertise in Sustainable and ESG-Focused Financial Management