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MS in Data Science – Financial Crime Specialization

Fight Economic Crime with Data Technology

Combat Financial Crime in Diverse Industries

Master Economic Crime Management Tactics

Industry-Experienced Faculty

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  • Duration 2 years
  • Cost per Credit $830
  • Credit Hours 30

Program Benefits

  • No GRE or GMAT required
  • 100% online coursework
  • Develop skills in business, financial crime, and data science

Use Your Business Skills to Make a Difference

Help ensure companies do their part when it comes to compliance with the Financial Crime specialization of Utica University’s Master of Science in Data Science. This specialization is designed for students with an interest in managing corporate and advanced technological resources devoted to combating economic crime.

Work alongside a faculty of data science practitioners with decades of experience in fighting financial crime and benefit from a 100-percent online program that fits your personal and professional life.

Through a combination of courses in business and financial crime, you will build on your data science knowledge to understand the impact of your analysis in an organizational and corporate context.

Career Outlook

Companies across the U.S. need data scientists with the right skill set: business acumen in combination with analytical skills. You’ll complete this specialization ready to provide regulatory compliance in sectors such as financial services and health care.


As a financial examiner, you’ll review and analyze financial transactions — such as tax records, expense accounts, balance sheets, and loan documents — to see whether or not companies are compliant with industry rules and regulations. You could work in a variety of settings in the financial industry, but also across health care providers and insurance companies. Financial examiners earn an average salary of $60,000 and up to $97,000 with increased experience.1


As a compliance officer, you’ll be in charge of making sure a company is up-to-date on its compliance and you would handle instances where the company may not be compliant. You could also be responsible for reporting your findings and providing recommendations. Though the average salary for a compliance officer is $68,000, it can range upwards of $110,000 with experience.2

Other titles you may qualify for:

  • Fraud Investigator
  • Data Scientist
  • Forensic Specialist
  • Financial Crime Consultant
  • Associate Analyst
Jobs and Income


The Financial Crime specialization is made up of three, 3-credit courses that dive deep into investigative and analytical principles, as well as two 1.5-credit courses that focus on data-driven decision-making.

You’ll learn how to apply preventative and investigative approaches to financial compliance misdemeanors. You’ll also master tactics for managing economic crime and improve your technology and communication skills.

Course Spotlight: FCM 642 – Advanced Fraud Analysis

Familiarize yourself with innovative analytic approaches used to perform complex fraud analysis, including link analysis, data mining, advanced statistical tools, case management systems, and expert system approaches such as neural network early-warning software.

Explore Courses

Course Spotlight: FCM 601 – Proseminar in Financial Crime and Compliance Management

Focus on four thematic areas: management, economic crime, technology, and analytical skills. You’ll conduct in-depth coursework and develop the communication skills necessary for success in these areas.

More Options for Your Degree


Learn state-of-the-art cybersecurity and computer forensic practices, and apply your data science knowledge and skills in unique ways. This specialization features courses from our NSA-designated cybersecurity master’s program.

Business Analytics

Build business theory and practice into your data analytics expertise. You’ll complete this specialization ready to manage risk, predict market and workforce developments, and understand demographic trends and census data.

Social Science Analytics

Enhance your understanding of complex organizations and bureaucracy, social trends, voting data, and research design. You’ll complete this specialization with a macroscopic perspective on community dynamics.

Frequently Asked Questions

Advancing your life and career with an online master’s in data science degree comes with lots of questions, and we want to ensure your search for answers is effortless. If you have a question we haven’t covered, call (866) 295-3106 to speak with an enrollment counselor

The online program is designed for professionals who work full-time and is offered part-time, which allows you to achieve a realistic balance between work, school, and personal responsibilities and gives you the opportunity to fully absorb the information in your coursework. To see the curriculum, view our courses page.

The first step toward applying to the M.S. in Data Science is to start your online application. Then, you’ll need to gather official transcripts, a personal statement, two letters of recommendation, and a résumé. Read more about admission to the M.S. in Data Science.

In addition to starting your online application, you’ll need to gather official transcripts, a personal statement, two letters of recommendation, and a résumé. Read more about admission to the M.S. in Data Science.

Yes, the M.S. in Data Science offers specializations in Social Science Analytics, Cybersecurity, Business Analytics, or Financial Crime. You can also design your own specialization and put the data to work in the field of your choice. You can review courses now.

To complete the M.S. in Data Science, you can choose a specialization in Social Science, Cybersecurity, Business Analytics, or Financial Crime. You can also choose to create your own specialization with courses tailored to your ideal career path. You can review courses now.

There are many applications for an M.S. in Data Science across the business, nonprofit, and governmental sectors. You can pursue a career as an operations research analyst, cybersecurity analyst, market research analyst, public health analyst, computer and information research scientist, chief data officer, and more. Explore potential career paths here.

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  1. Payscale (n.d.). Financial Examiner Salary. Retrieved on June 17, 2019, from
  2. Payscale (n.d.). Compliance Officer Salary. Retrieved on June 17, 2019, from