Number of Credit Hours
15 Credit Hours
Around 5 Courses
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The financial services industries are changing rapidly with the emergence of financial technology (FinTech). The objective of the course is to provide students with an overview of FinTech and introductions to its applications in financial services, such as commercial and investment banking, digital investing, financial advising, and insurance. Students are expected to develop a broad understanding of the recent FinTech development and its impact on different parts of the financial world. Students will also have hands-on problem-solving experiences that can be useful in FinTech applications and innovation. Topics may include but are not limited to: blockchain and cryptocurrencies, smart contracting, payments, digital banking, P2P lending, crowdfunding, robo-advising, and InsurTech.
Hours:
3
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An introductory course including a study of basic computer concepts, management information systems, data and file processing, systems analysis, the hardware and software available for meeting information systems needs, computer privacy and security, and the various types of information systems. Students will gain extensive hands-on microcomputer experience applying spreadsheet, database management, and word processing software to solve information problems.
Prerequisite/Corequisite:
Prerequisite: MATH 1001, MATH 1101, MATH 1111, MATH 1113, or MATH 1450, with a grade of C or higher
Hours:
3
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This course examines the information and communications tools, technologies, and standards integral to consumer, merchant, and enterprise services in the payments and financial service sectors. Explores technology's role in reshaping FinTech businesses. Technologies span messaging, communication networks and gateways, core processing, mobile and online software, and application program interfaces (APIs). Includes the challenges, standards, and techniques associated with securing systems and data.
Prerequisite/Corequisite:
Prerequisite: CIS 2201, CSCI 1250, or CSCI 1301 with a grade of C or higher
Hours:
3
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This course provides the foundation for financial data analytics used in business and FinTech applications. The objective of this course is for students to gain experience in analyzing financial data using modern machine learning techniques, statistical methods, and prediction models. Students will develop computational skills to perform data analysis using a modern statistical programming environment, and apply these skills to address a range of problems encountered by business firms, including those in the FinTech industry. The topics discussed include an introduction to R language, visualization of financial data, cluster analysis, simple and multiple linear regression, classification models, high dimension data analysis using Lasso, and model assessment and selection using cross validation. Students will have hands-on experience in the development of data analytics applications to analyze real world financial problems.
Prerequisite/Corequisite:
Prerequisites: FTA 4002 and MATH 1401 with grades of C or higher
Hours:
3
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