Master of Science (MS) in Financial Analytics

The Master of Science (M.S.) in Financial Analytics program at the University of Dallas specializes in the application of data science in the finance industry. As a STEM-designated program, the M.S. in Financial Analytics combines principles from science, technology, engineering and mathematics with business and finance. Our world-renowned faculty guide you through the latest in research, software and techniques, as you build the skills to shape your future.

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What Will I Study?

The Financial Analytics program prepares graduates to bring statistical and programming skills to today's technology-intensive finance industry. In addition to mastering corporate finance, students will learn today's most relevant tools, along with techniques used by the world's largest financial institutions - such as JP Morgan, Goldman Sachs and Bank of America - to make financially strategic decisions with programming languages like Python, SAS, R and SQL. No prior experience in finance or business analytics is required for entry into this program.

 MS Financial Analytics Course Topics Include:

  •  Predictive Modeling
  •  Data Visualization
  •  Investments
  •  Derivatives
  •  Data Analysis for Decision Making
  •  Quantitative Methods
  •  Python Programming Concepts
  •  R Programming Concepts

What Kind of Commitment Am I Making?

  •  42-HOUR PROGRAM
  •  CAN BE COMPLETED IN ABOUT 2-3 YEARS
  •  ONLINE OR ON-CAMPUS
  •  $1,250 PER CREDIT HOUR
  •  Stem-Designated

Enterprise Architecture

The Dallas Master of Science in Financial Analytics is a 42-hour program comprising 12 classes that help students develop the tools they need for a career in financial analytics. No GMAT or GRE is required for admission. For the typical working professional taking two classes per semester, the M.S. in Financial Analytics program can be completed in about 2-3 years. Up to 75 percent of classes can be completed online.

In addition, the M.S. in Financial Analytics is part of the STEM-designated degree programs that qualify international graduates for an optional practical training (OPT) extension of 24 months, for a total of 36 months. 

Where Will a Career in Financial Analytics Take Me?

Gain a competitive edge in the job market by applying business analytics skills, such as data science, database management, data visualization, predictive modeling, big data, and programming with in-depth knowledge in finance. Student who complete this degree are equipped to bring financial analytics skills to banks, hedge funds and wealth management offices.

According to the Bureau of Labor Statistics, financial analytics professionals report an average salary of $84,000, with a projected job growth rate of 11 percent between 2016-2026. Financial managers and more senior positions report a median salary of $125,000 and 19 percent projected growth.

Career options include professions such as:

  •  Financial Data Analyst
  •  Financial Intelligence Analyst
  •  Big Data Financial Engineer
  •  Financial Consultant
  •  Financial Risk Analyst
  •  Quantitative Portfolio Manager

CFA Institute Recognized

The University of Dallas M.S. Financial Analytics Program is affiliated with the CFA Institute and prepares students to take the CFA Level 1 exam and seek to obtain the Chartered Financial Analyst® designation. This designation is achieved by passing a series of three rigorous exams adhering to code of ethics and standards of practice observed by the CFA Institute. The University of Dallas' M.S. Financial Analytics program is one of 150 universities worldwide recognized as a CFA Institute® University Affiliation Program. 

CFA UAP

SAS® Global Certification Program

The University of Dallas M.S. Financial Analytics program is developed in partnership with SAS; students will gain the knowledge necessary to take three SAS certifications as part of their main coursework. 

Earn Microcredentials as You Study

microcredentialsUpon successful completion of required coursework, students receive a verified microcredential (digital badge) from the University of Dallas. Microcredentials offer immediate value to current employers and demonstrate mastery of in-demand skills to potential future employers. Microcredentials can be displayed with a special digital badge on LinkedIn accounts and on a personal resume or CV. Through Acclaim, your accomplishment can be verified and recognized internationally by employers and hiring managers.