University of Texas at Dallas

Overview

The M.S. in Financial Technology and Analytics at the University of Texas at Dallas equips students with essential quantitative and data-driven skills tailored for the evolving landscape of modern finance. This program is crafted for individuals from diverse academic backgrounds seeking to enhance their technical expertise for careers in the fintech and financial analytics sectors.

What you'll study

This 12-month cohort-based program integrates core finance principles with advanced analytics training and quantitative methodologies. Students will engage in both required courses and electives, allowing for a personalized academic experience based on their interests and prior knowledge.

Core coursework (examples)

• Financial Analytics Training and Internship — A comprehensive course that combines analytics training with an internship experience to apply learned skills in real-world scenarios.
• Financial Accounting Information and Analysis — Focuses on interpreting financial statements and leveraging accounting data for strategic decision-making.
• Financial Markets and Institutions — Explores the dynamics of financial markets and the role of institutions in shaping financial outcomes.
• Asset Pricing and Management — Investigates quantitative methods for asset pricing and portfolio management strategies.
• Corporate Finance and Risk Management — Covers foundational corporate finance concepts while emphasizing risk assessment and management techniques.
• Advanced Mathematics in Finance — Introduces mathematical frameworks essential for finance modeling and analytics.

Capstone / internship component

• Internship — Integrated within the Financial Analytics Training and Internship course, this component facilitates hands-on learning and professional development.

Note: The specific sequence of courses and elective offerings may differ based on the cohort and individual degree plans. Students are encouraged to work closely with their academic advisors to finalize their educational paths.

Entry requirements

Prospective students should possess a strong academic background with a minimum GPA requirement, typically around 3.0 on a 4.0 scale. Additionally, candidates must submit their graduate application along with any required supporting documents. Proficiency in English is essential, with accepted tests including IELTS, TOEFL iBT, PTE Academic, and Duolingo English Test.

Career prospects

Graduates of the M.S. in Financial Technology and Analytics program are well-prepared for a range of career opportunities in the finance sector. They can pursue roles such as financial analysts, risk managers, data analysts, and positions within fintech companies, where their skills in analytics and technology will be invaluable in driving financial innovation.