Program Description

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.

Benefits

The Financial Technology and Analytics master’s program ensures that students gain skills that in demand and that they can employ in practice to solve a variety of financial problems.

Other benefits include:

• World-Class Faculty: The program is led by faculty of the Naveen Jindal School of Management who are widely cited experts in their respective fields and industry experts from Goldman Sachs, J.P. Morgan and other financial service or fintech companies.
• Comprehensive Curriculum: Courses in the Financial Technology and Analytics program will introduce students to new ideas, technologies and competencies while also teaching them the knowledge they’ll need to thrive in competitive, ever-changing industries.
• Program Flexibility: The program offers convenient options for both full-time students and working professionals.
• Facilities: The School of Management building and Jindal School Addition provide students with more than 300,000 square feet of classroom, computer labs and study areas including specialized labs for financial trading, business communications, accounting and sales.
• Location: Situated in the greater Dallas region—recently rated by Forbes magazine as the #1 “Best City for Jobs”—UT Dallas provides students with easy access to employers and internship opportunities, not to mention a large and supportive alumni population.

Career Opportunities

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

Marketable Skills

Review the marketable skills for this academic program.

Application Deadlines and Requirements

Please take note of all application deadlines and visit the Apply Now webpage to begin the application process. See the Financial Technology and Analytics program’s website for additional information.

Applicants to the Financial Technology and Analytics master’s program should have:

• A bachelor’s degree from an institution in the United States or its equivalent (all majors are considered).
• A grade point average (GPA) of at least 3.0 in both core and aggregate courses.
• Test Scores: A GRE/GMAT test score is not required, and students have the option to submit a test score if desired. A GRE/GMAT test score will only be used for admission purposes if one is provided by the applicant.
• Letters of Recommendation: Applicants must submit two letters of recommendation from individuals able to judge the candidate’s potential for success in the master’s degree program. The letters can be academic or professional.
• Admissions Essay: Applicants must submit an essay outlining their academic interests and professional goals.
• A resume.
• International applicants must submit a TOEFL score of at least 80 on the internet-based test. Scores must be less than two years old. See the Graduate Catalog for additional information regarding English proficiency requirements for international applicants.

Students with any bachelor’s degree are welcome to apply. However, applicants are required to have completed coursework in calculus, linear algebra, probability/statistics and programming with a grade of B or better prior to starting this program. Applicants who have not satisfied these requirements may be admitted but will need to demonstrate that they have satisfied these prerequisites in other ways (e.g., online courses with test results).