Master of Science in Financial Technology and Analytics
The University of Texas at Dallas
Key Information
Campus location
Richardson, USA
Languages
English
Study format
On-Campus
Duration
2 years
Pace
Full time
Tuition fees
USD 18,276 / per semester
Application deadline
Request info
Earliest start date
May 2024
Introduction
The Master of Science in Financial Technology and Analytics degree is a cohort STEM program for students who want to learn the quantitative skills required to analyze financial information, engineer financial products, identify risks and manage risks. The program is designed for students with or without a previous educational background in finance, but with a proclivity toward quantitative approaches to managerial issues.
Special tuition, fees and admissions requirements apply, and the program is supported entirely by participant tuition/fees.
In addition to the academic coursework, the Jindal School offers a number of resources to enhance the learning experience. A finance trading lab offers you the opportunity to train and get certified using the Bloomberg Terminal. The lab also has access to several databases, including Thomson Reuters Eikon, S&P Capital IQ, SDC Platinum, Morningstar Direct and Wharton Research Data Services. The program also offers a series of workshops that prepare students for the workplace. These resources allow students to improve their quantitative and qualitative skills in analyzing financial data and managing risk. Beyond the lab, JSOM’s Career Management Center staff helps students to find internships and jobs and hosts guest speakers and events.
Curriculum
Degree Program
The Master of Science in Financial Technology and Analytics requires a minimum of 36 semester credit hours to complete. Students in the program must have a bachelor’s degree from an accredited institution in the United States or its equivalent. An undergraduate business degree is not required; all undergraduate majors are welcome. New cohorts begin in the fall semester only.
Degree Requirements
The Master of Science in Financial Technology and Analytics (MS FTEC) at the Naveen Jindal School of Management is a STEM (Science, Technology, Engineering and Mathematics) cohort degree program that requires a minimum of 36 semester credit hours. This Fintech program provides students with the practical and theoretical knowledge needed to pursue careers involving digital financial technologies and financial data analytics. The program is designed for students with or without a previous educational background in finance, but with a proclivity toward more computer-based approaches to financial issues.
Students completing this program will gain knowledge of both finance and the key digital and analytical technologies used in finance. For example, students completing the program will know how to use robotic process agents, build blockchains with smart contracts, create cryptocurrencies or tokens for payment systems, use statistical methods for analyzing financial data, and apply machine learning to financial issues. While the full-time program is a cohort program, a part-time program for working professionals is also offered. Both programs only begin each fall. Special tuition, fees and admissions requirements apply since the program is supported entirely by participant tuition/fees.
To apply for this degree program, an undergraduate degree is required (all majors are considered). Students must maintain a cumulative 3.0 grade-point average (GPA) in all graduate courses taken in the degree program, excluding program prerequisites, to qualify for the MS degree.
Prerequisites
Students pursuing the Master of Science in Financial Technology and Analytics degree program are required to have completed course work in calculus, linear algebra, probability/statistics, and programming with a grade of "B" or better. Applicants who have not satisfied these requirements will be considered on a case-by-case basis.
Course Requirements
Core Courses: 36 semester credit hours
The program director develops a program of study for students each term based on the courses listed below.
- FTEC 6002 Financial Analytics Training and Internship
- FTEC 6301 Financial Accounting Information and Analysis
- FTEC 6302 Financial Markets and Institutions
- FTEC 6303 Asset Pricing and Management
- FTEC 6304 Corporate Finance and Risk Management
- FTEC 6305 Introduction to Mathematics in Finance
- FTEC 6306 Advanced Mathematics in Finance
- FTEC 6310 Financial Information and Analytics
- FTEC 6311 Financial Technology I
- FTEC 6312 Financial Technology II
- FTEC 6313 Cloud Computing and Cyber Security
- FTEC 6319 Mathematics for Financial Analytics
- FTEC 6320 Statistical Methods for Financial Analytics
- FTEC 6321 Advanced Statistical Methods for Financial Analytics
- FTEC 6331 Risk Evaluation and Management
- FTEC 6334 Financial Applications of Machine Learning
- FTEC 6V98 Financial Technology and Analytics Internship
- FTEC 6V99 Special Topics in Financial Technology and Analytics
Career Opportunities
Financial data analytics and risk management are becoming two of the hottest fields in finance, and this program is designed to help students succeed in these areas. Career options include, but are not limited to: financial data analyst, credit analyst, quantitative credit risk analyst, financial analyst, financial engineer, research analyst, risk and insurance analyst, market risk analyst, quantitative risk analyst, chief risk officer, risk management officer, risk management analyst, data scientist, data engineer, data modeller, and BI Analyst (business intelligence analyst).
English Language Requirements
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