Program Overview

Review details of our Financial Analytics Online

The Master of Science in Financial Analytics (MSFA) at Eastern Michigan University is a 30-credit hour, AACSB-accredited program for recent graduates and working professionals. The program is delivered in a supportive, fully online format over five consecutive 7.5-week sessions, allowing completion of the 30-hour core requirements in only 10 months.

Graduates of the program will be able to:

  • Gain expertise in corporate finance, financial reporting, fixed income, derivatives, investments, portfolio management, and equity investments.
  • Demonstrate preparedness to sit for all three levels of the CFA exams.
  • Apply practical financial skills relevant to careers in finance.
  • Utilize Python programming, financial analytics, and AI-driven financial modeling.

Career Opportunities:

  • Financial Analyst
  • Investment Analyst
  • Quantitative Analyst (Quant)
  • Risk Analyst
  • Portfolio Manager

Also available:

Eastern Michigan University offers a variety of graduate programs and a post-master’s certificate online. Check out our other online programs.

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Available Online

The Master of Science in Financial Analytics degree can be completed entirely online. The coursework is delivered synchronously or asynchronously, depending on the program. As part of their academic obligations, students may be required to participate in in-person clinical or internships near their residences or attend an on-campus program on one or two weekends during a semester. NOTE: It is not permissible for international students studying in the United States to pursue a fully online program.

Course Delivery Codes

To read the definitions of course delivery codes at EMU, visit the Records and Registration website.

Tuition and Fees

Find out how and when to pay for your tuition

Whether you reside in or out of state, the Financial Analytics M.S. online program offers the same affordable, pay-as-you-go tuition.

Tuition Calculator

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Calendar

View the online dates and deadlines for EMU

The College of Business offers the graduate portion of the program Hyflex in a synchronous format using current technology. Thus, online students can access the same course media, materials, discussions, etc., as if in the classroom. In addition, the faculty records class meetings enabling students to revisit lectures as often as necessary while enrolled in each course.

*For term deadlines, visit the Registrar's website.

**Subject to seat availability. 

**Payment due date is based upon the specific date registered. For detailed information regarding payment due dates, visit the Student Business Services website.

Now Enrolling

August 22 - Start Fall 2025 Classes

Admissions

See the qualifications for our online Master of Science in Financial Analytics M.S. program

The admission process is the first step to earning your Master's in Financial Analytics degree online. Be sure to review all admission requirements and any additional materials you should send.

Admission Requirements:

  • Earned a four-year baccalaureate degree from a regionally accredited U.S. institution or an equivalent degree from a non-U.S. institution

View all admission requirements:

  • Master of Science in Financial Analytics Online Admission Requirements Expand dropdown

    Applicants must also meet the following program requirements.

    • A minimum undergraduate GPA of 3.0 
    • Resume submitted with the application.
    • A personal statement (250-word maximum) detailing the applicant’s interest in an MSF is submitted with the application.

    Applicants may submit a GMAT or GRE score if they believe it enhances their application, but this is optional. 

    Conditional Admission Applicants with a GPA between 2.75 and 3.00 must maintain a GPA of 3.25 or higher for one semester without receiving any final grades below a B-. Failure to meet these requirements will result in removal from the program. 

    Conditional admission may be available to applicants not meeting minimum admission requirements.

    If you need to submit official documents by mail, send them to:

    Office of Admissions
    Eastern Michigan University
    P.O. Box 970
    Ypsilanti, MI 48197

    Documentation can be sent via email to: [email protected].

    Have a question? Call us at 734.487.8892.

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Courses

View the degree plan for our online Master of Science in Financial Analytics program

The following seven COB courses must be completed before COB admission and count toward the total credit hours required for this major.

  • Core Courses Expand dropdown
    • FIN 501: Quantitative Methods in Finance Expand dropdown
      Duration: 7.5 weeks
      Credit Hours: 3
      Students will learn mathematical techniques applicable to financial analysis. Topics will include but are not limited to, partial differentiation, matrix algebra, and statistics.
    • FIN 601: Corporate Finance Expand dropdown
      Duration: 7.5 weeks
      Credit Hours: 3
      The course provides an introduction to the fundamental principles of finance and includes time value of money, bond and stock valuation and capital budgeting. Emphasis is on use of tools, such as Excel, for evaluation and risk analysis.
    • FIN 611: Financial Statement Analysis Expand dropdown
      Duration: 7.5 weeks
      Credit Hours: 3
      This course focuses on the information obtained from financial statements, not on the preparation of financial statements. The course teaches students how to review, interpret and evaluate data in financial statements and statement footnotes from the perspective of a financial analyst.
    • FIN 621: Securities Analysis Expand dropdown
      Duration: 7.5 weeks
      Credit Hours: 3
      This course addresses the major issues of interest to investors and portfolio managers including the optimal allocation of wealth among assets, the valuation of risky assets and the measurement of investment performances of various financial instruments, such as common stocks, bonds, convertibles, and options.  Intended to meet the requirements of the CFA Body of Knowledge.
    • FIN 631: Financial Modeling in Excel Expand dropdown
      Duration: 7.5 weeks
      Credit Hours: 3
      This course introduces hands-on industry skills and equips students with the tools to create sophisticated models, analyze real-world financial data, and develop practical solutions using Excel.
    • FIN 641: Fixed Income Analysis Expand dropdown
      Duration: 7.5 weeks
      Credit Hours: 3
      This course evaluates the fixed income market including corporate bonds, Treasuries, and municipal bonds. Topics include but are not limited to bond pricing, duration, convexity, bond options and the impact of options on risk, and are intended to meet the content of the CFA Body of Knowledge.
    • FIN 651: Portfolio Management Expand dropdown
      Duration: 7.5 weeks
      Credit Hours: 3
      The course includes a review of the investment process and portfolio applications intended to meet the content of the CFA Body of Knowledge. Asset valuation models are taught in addition to equity, bond, and hybrid portfolio management. Course content includes a review of professional ethics as it relates to portfolio management.
    • FIN 661: Advanced Financial Management Expand dropdown
      Duration: 7.5 weeks
      Credit Hours: 3
      This course develops conceptual foundations for making intelligent corporate financial analysis and covers content from the CFA Body of Knowledge. Advanced concepts in modern corporate finance are examined.
    • FIN 671: Risk Management/Derivatives Expand dropdown
      Duration: 7.5 weeks
      Credit Hours: 3
      This course reviews the basic concepts, principles, and practices of derivative securities with a primary focus on options and futures contracts. The course will cover derivative markets, pricing of options and futures contracts, and financial risk management. Advanced hedging strategies and securities innovation including real options will be introduced.  The course is intended to meet the content of the CFA Body of Knowledge.
    • FIN 675: Artificial Intelligence Tools in Finance Expand dropdown
      Duration: 7.5 weeks
      Credit Hours: 3
      This course intertwines the field of finance with the innovation of machine learning and artificial intelligence. Expect an exploration of theoretical foundations, hands-on applications in financial contexts, and a look into the ethical dimensions of technology in finance. This course is a gateway for professionals and enthusiasts alike to master the art of applying advanced tech to finance.

Program Details

As few as 10 months         

30-33 Credit Hours

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Careers & Job Market Outlook

What Do Alumni Say?

  • "After completing my undergraduate degree during the pandemic, I chose EMU’s graduate finance program for its flexibility, hands-on resources like the Bloomberg lab, and the ability to work full-time while studying. As a graduate assistant, I built strong connections with faculty, which led to a nomination for the Financial Executives International (FEI) Detroit Chapter student award. That opportunity helped me secure an internship and eventually a full-time job. This program gave me clarity, direction, and a strong start to my career."

    –Emily Westers (MS23), Financial Analyst, NLB Corp.

  • "I left Ypsilanti with nothing but fond memories and have endless gratitude for the tireless effort that everyone involved made to enrich my experience. I’m honored to have been a part of the inaugural MSF cohort and would happily recommend it for anyone considering a comprehensive and advanced financial curriculum."

    –Alex Kivali (MS21), Equity Research - Associate Director, UBS

  • "Choosing EMU’s Master’s in Finance was life-changing. As an international student, I found the College of Business faculty and staff incredibly supportive, making the experience both smooth and rewarding. The CFA-affiliated program gave me the knowledge and tools I needed to pursue certification and launch my finance career. Through EMU and the Financial Management Association, I built skills, expanded my network, and secured a role as a Financial Analyst in the automotive industry. I highly recommend this program to anyone serious about a career in finance."

    –Insiya Shah (MS21), Financial Analyst, Angstrom Automotive Group

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