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Coggin College of Business
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Curriculum

The MS in FinTech is a 10 course/ 30 credit hour program. The program offers flexiblity to enroll full time or part time.  Offering 3 starts per year, we encourage you to apply today!

Prerequisites

Required prior to admission to the program. Courses in:

  • Basic statistics or equivalent (UNF equivalents: STA 2023, STA 2014) 
  • Entry level computing or equivalent (UNF equivalents: CGS 1100, CGS 1060)
  • Entry level course in business or equivalent (UNF equivalents: MAN 3025, MAR 3023, ECO 2013 or ECO 2023)
  • FIN 6778 Foundations of FinTech
    This course provides an overview of the emerging Fintech discipline and how innovations and new technologies are transforming conventional financial markets and services.
  • ISM 6021 Management of Information Technology

    Prerequisite: MAN 3025 and CGS 1100 or equivalents

    This course is a study of Management Information Systems with emphasis on the design, analysis, operation, and control of information systems as an aid to managerial decision-making.

  • FIN 6314 Banking and FinTech

    Prerequisite: FIN 6406 or FIN 6778

    This course examines the structure of banking and other financial institutions; and the organization and relationship of FinTech with commercial banks and other institutions

  • FIN 6515 Investments

    Prerequisite: FIN 6406 or FIN 6778

    This course focuses on investment analysis, elements of the investment process, and the criteria for investment decisions.

  • FIN 6457 Advanced FinTech
    This course covers innovations in fintech, cryptocurrencies and blockchains, smart contracts and decentralized applications, alternative lending, p2p technology, and machine learning in robo-advising.
  • ISM 6419 Data Visualization

    Prerequisite: ISM6021 

    This course teaches the essential and practical skills in data visualization, including computer graphics, visual data representation, physical and human vision models, numerical representation of knowledge and concepts, animation techniques, pattern analysis, and computational methods.

  • CAP 6768 Data Analytics
    The aggressive rate of data growth has outpaced our ability to manually understand what data represents. Data is typically stored in database and files, and represented in different formats (structured, semi-structured, or no structure). Data analytics is the science of applying quantitative techniques to analyze data with the objective of discovering hidden knowledge and identifying interesting patterns. This course surveys a number of data preprocessing and sampling methods, data distributions and uncertainty, statistics, regression, time-series analysis, predictions and clustering. It introduces the characteristics and analytic challenges on dealing with clinical data from electronic health records. The course also covers emerging trends in Data Analytics and the applications of information technology in the healthcare. Statistical analyses and data mining techniques will be discussed along with methods for deploying these techniques using the open source tools.
  • CIS 6XXX - AI and Machine Learning in Finance

    This course examines the ways in which emerging technologies, such as artificial intelligence (AI), deep learning, blockchain technology, open APIs, etc., are upending the financial services sector and causing significant changes to business practices, goods, programs, and user interfaces. Applications of these technologies in

    fields including payments, credit, trading, and risk management will be covered in the course. On the job market, having a solid understanding of machine learning is becoming increasingly important. Students who successfully complete this course will be able to explain in detail how artificial intelligence and machine learning are used in the finance industry.

  • ISM 6404 Applications of Business Analytics
    This overview course explores the broad topic of business analytics by focusing on the tools important to better identify and communicate valuable insights and to facilitate the flow of analytics information within an organization. Through hands-on projects and interactive classes, students will learn the foundations of analytics, including preparing, managing, exploring, and analyzing data and communicating results to executives using effective language and visualizations. This course is less about building models (e.g. optimization or predictive models) and more about practical business analysis and communication of results. Those successfully completing the course should feel comfortable identifying meaningful patterns and communicating clear results to facilitate decision making across many areas of business.
  • FIN 6XXX FinTech Practicum
    The FinTech capstone course will provide students an opportunity to demonstrate knowledge and skill acquired throughout the FinTech coursework. Topics include the impact and future implications of FinTech on various industries.