Financial Technology and Analytics

The Master of Science in Financial Technology and Analytics degree program teaches students the advanced computing and quantitative skills required to analyze financial information and use technologies that are changing the financial services landscape.  Designed by top-tier faculty in the Naveen Jindal School of Management, this nontraditional STEM-designated program is open to students with or without a previous educational background in finance but who are interested in quantitative approaches to managerial issues.

Graduates of the program know how to:

• Build a block-chain with smart contracts or creating a crypto-currency.
• Develop Robotic Process Agents to obtain data and execute subsequent actions.
• Using Python to build websites, analyze financial data (both textual and non-textual), and employ machine learning to financial problems
• Using R to analyze financial data with statistics and machine-learning algorithms.
• Price standard financial assets and hedge financial risks

In addition to the academic coursework, the program equips students to pursue various certifications (Data Analytics Certifications (e.g., Google, IBM, etc.), Cloud computing certifications (Microsoft, Amazon, etc.), Robotic Process Agent certifications (e.g., Automation Anywhere, UiPath, etc.), Blockchain certifications (e.g., Corda, etc.), Credit Risk Certification (e.g., RMA, etc.), Financial Risk Manager Certifications (e.g., GARP, etc.). Students will have access to key data platforms such as Refinitiv, S&P Market Intelligence, and Wharton Research Data Services, as well as the school's financial trading lab with Bloomberg Terminal and resources from the Career Management Center.

• $50 non-refundable international credential evaluation fee.
• Proof of English proficiency. 
• GRE or GMAT score. 
• Required credentials, such as diplomas and/or degree certificates, college/university transcripts or mark sheets, and letters of recommendation. Upload scanned copies in their original language along with certified English translations by the appropriate academic institution or government agency.

Graduates of the Financial Technology and Analytics master's program have gone on to pursue professional careers in a wide variety of fields. Recent graduates have found jobs such as:

• Business Intelligence Specialist
• Commercial Credit Analyst
• Capita Market Analyst
• Credit Risk Analyst
• Data Engineer
• Data Scientist
• Financial Analyst
• Financial Engineer
• Financial Modeling Analyst
• Financial Data Analyst
• Fraud Analyst
• Model Risk Manager
• Research Analyst
• Risk Analyst
• Risk Manager
• RPA Automation Developer