Explore the UT Dallas MS in Financial Technology and Analytics Degree Plan
The Master of Science in Financial Technology and Analytics requires 36 credit hours for completion. The degree is built on three prongs: financial markets and institutions, technology used in finance and data analytics used in finance. We offer both full-time and part-time options and students are admitted as cohorts each Fall term. For the latest information about Course offerings and Course information, please visit the MS in FTEC page of the UT Dallas Graduate Catalog.
View Degree PlanPrerequisites
Students with an undergraduate degree in any subject are welcome to apply. However, students are required to have completed coursework in calculus, linear algebra, probability/statistics, and programming with a B or better. Applicants who have not satisfied these requirements may be admitted but will need to satisfy the prerequisites through coursework or other means selected by the program director before beginning the program coursework.
2025-2026 Cohort Schedule – Full-Time Program
The full-time program is a two-year program that provides students with abundant opportunities to pursue internships that improve their marketability. Since financial technology and analytics are constantly changing, the mix of courses for each cohort changes to best prepare students for the current marketplace.
| Fall 2025 | Spring 2026 | Summer 2026 | Fall 2026 | Spring 2027 |
|---|---|---|---|---|
| FTEC 6v96 Foundations of Machine Learning |
FTEC 6v99 Further topic in machine Learning |
FTEC 6V90 RPAs and ML |
FTEC 6v97 Cloud Computing |
FTEC 6V99 Special Topics |
| FTEC 6302 Foundations of Finance |
FTEC 6331 Risk Evaluation and Management |
FTEC 6V99 Natural Language Processing |
FTEC 6V97 Cyber-security |
FTEC 6V97 Special Topics |
| FTEC 6310 Financial Information and Analytics |
FTEC 6v97 Data Engineering |
FTEC 6002 Financial Analytics Training and Internship |
FTEC 6312 Financial Applications of Blockchain Technology |
FTEC 6v99 Special Topics |
| FTEC 6v99 Data & Fintech Mkts |
FTEC 6v96 Computational Finance |
FTEC 6v97 Web Development |
FTEC 6v99 Fintech Web Technology |
|
| FTEC 6v99 Professional Development |
FTEC 6v99 Further Topics in Finance |
2025-2026 Cohort Schedule – Part-Time Program
The part-time program requires that students complete 9 credit hours in their first year. After that, students have flexibility in the timing of subsequent coursework. Since financial technology and analytics are constantly changing, the mix of courses for each cohort changes to best prepare students for the current marketplace.
Fintech Certificate Program* – Fall 2025 Entry
Four of the following Courses Selected in Consultation with the Program Director
- FTEC 6310 Financial Information and Analytics
- FTEC 6311 Robotics and Financial Technology
- FTEC 6312 Financial Applications of Blockchain Technology
- FTEC 6313 Cloud Computing
- FTEC 6314 Financial Applications of Web Technologies
- FTEC 6v97 Special Topics in Financial Technology
- FTEC 6V99 Special Topics in Financial Technology and Analytics
Candidates for the fintech certificate should have some prior programming experience. They will be required to complete some coursework in the boot.
Financial Data Science Certificate Program* – Fall 2025 Entry
Four of the following Courses Selected in Consultation with the Program Director
FTEC 6310 Financial Information and Analytics
FTEC 6319 Mathematics for Financial Analytics
FTEC 6320 Statistical Methods for Financial Analytics
FTEC 6324 Financial Information and Analytics
FTEC 6334 Financial Applications of Machine Learning
FTEC 6v96 Special Topics in Financial Data Analytics
FTEC 6V99 Special Topics in Financial Technology and Analytics
Candidates for the financial data science certificate should have some prior finance coursework or experience. They will be required to complete both the math and Python coursework in the boot camp prior to starting their program of study.
Insurance Technology and Analytics Certificate Program* – Fall 2025 Entry
Four of the following Courses Selected in Consultation with the Program Director
FTEC 6304 InsurTech Foundations and Applications
FTEC 6310 Financial Information and Analytics
FTEC 6334 Foundations of Machine Learning
FTEC 6324 Applications of Machine Learning and AI in Insurance
FTEC 6340 Decentralized Insurance
FTEC 6V95 Special Topics in InsurTech and Analytics
FTEC 6V99 Special Topics in Financial Technology and Analytics
Candidates for the insurance technology and analytics certificate should have some prior finance or insurance coursework or experience. Depending on their background, they may be required to complete certain coursework during the boot camp prior to the beginning of their program of study.
Student Testimonials
Sneha Venkataraman
Intern, American Express, New York
As finance and risk professionals, it is of foremost importance that we understand the impact of our work on the global economy. FTEC has taught me exactly this, in a multicultural collaborative classroom environment.
Siddharth Yatindra Mudbidri
Intern, Essilor of America, Dallas
My experience as a Graduating student of the Financial Engineering and Risk Management program has been enriching, preparing me for the road less travelled, an amalgamation of Financial and Engineering concepts coupled with a splash of professional development skills.
Yun Ting Lee
Intern, Comerica Bank Headquarters, Dallas, Texas
I would like to express my gratitude to the FTEC program. I’m glad that I chose MS FTEC as my second master program.
Arpita Pai
Intern, Santander Consumer USA, Dallas TX
I was looking for a masters program that would mesh with my Finance and IT background, so I chose FTEC. The curriculum is structured in a way that it opens different avenues in finance like risk management, financial data analytics, quantitative analyst etc.
Ready to start your FTEC application?
Before you apply, get familiar with the application process for the Jindal School Master’s in Financial Technology and Analytics program at UT Dallas.
How to Apply