Program Director:
Paul Trumbull
238B Elliott Hall
(248) 370-3277
trumbull@oakland.edu
Program Description
In this 15-credit certificate program, students will develop specialized data-management skills as they apply what they learn about data mining, artificial intelligence, block chain, cryptocurrencies, deep learning, machine learning, and text analytics to key financial scenarios, including the creation and dynamic implementation of budgets, capital budgeting, valuation, capital structure, and derivatives. Special topics may cover mergers and acquisitions, international financial issues, and bankruptcy prediction.
Admission terms and application deadlines
Before an applicant’s file can be reviewed for full program admission, all application documents must be received in Oakland University Graduate School by the semester deadlines listed below. Incomplete applications will not be sent to departments for admission review.
- July 15 for fall semester
- November 15 for winter semester
- March 1 for summer semester
International Applicants
- May 1 for fall (September) admission
- September 1 for winter (January) admission
- January 1 for summer (May) admission
Application requirements
To be considered for graduate admission, applicants must submit all Graduate Application Requirements and additional department requirements by the published application deadlines:
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- Additional department application requirements
Admission review and assessment
Admission to the Graduate Certificate in Fin-Tech program is selective. In making admission recommendations to the graduate certificate program, the department assesses the potential of applicants for success in the program by examining their graduate records, their experience, and their recommendation forms.