Data Analytics in Finance Graduate Concentration

For the Data Analytics in Finance Concentration

chair of department: Louis Chan

director of graduate studies: Martin Widdicks (MSF)


department website:

overview of grad college admissions & requirements:

college website:

department office: 340 Wohlers Hall, 1206 S. Sixth Street, Champaign, IL 61820

phone: (217) 244-2239

The Data Analytics in Finance Concentration is open to students enrolled in:

Finance, MS

Financial Engineering, MS

        Business Analytics, MS

The Data Analytics in Finance Concentration is designed to develop graduates who understand:

  • how to apply data analytics in a variety of financial contexts including investment and policy decisions;
  • critically solve business problems using data-intensive economic and financial information; and,
  • synthesize and effectively communicate data-intensive information, findings, and conclusions to others, including supervisors, peers, and clients. 

This concentration will not only provide a strong technical knowledge of data analytics topics, but also provide students multiple opportunities to apply this knowledge via experiential learning opportunities.

Graduate Degree Programs in Finance


Finance, MS

optional concentrations for the Finance, MS: Accountancy, Corporate Governance & International Business, Data Analytics in Finance, Information Technology & Control

Financial Engineering, MS (administered by Finance and Industrial & Enterprise Systems Engineering)

optional concentration for the Financial Engineering, MS: Data Analytics in Finance

Finance, PhD




Data Analytics in Finance


Real Estate


Candidates will apply to the Department of Finance for admission into the concentration. Students wishing to be admitted to the concentration should consult with their program advisor before applying.

For the Data Analytics in Finance Concentration

FIN 550Big Data Analytics in Finance for Predictive and Causal Analysis4
Choose any two of the following:
FIN 552Applied Financial Econometrics4
FIN 537Financial Risk Management4
FIN 553Machine Learning in Finance4
FIN 555Financial Innovation4
FIN 580Special Topics in Finance4
Total Hours12