Fintech Program

Newly admitted computing students: Read this Important Notice

Starting in Fall 2024, the School of Computing introduces the Bachelor of Science in Computing and Information Sciences with a concentration in Financial Technology (FinTech). This program offers a comprehensive curriculum that combines traditional finance coursework with specialized knowledge in the evolving field of FinTech.

Fintech Course Osprey Map (coming soon)

*Note: Program flowcharts that include optional courses and electives are located outside suite 3201 in Bldg. 15 on the third floor.

Program Overview:

1. The FinTech program equips students with the skills needed to navigate the intersection of finance and technology
2. Students delve into topics such as date-driven financial modeling, financial data mining, machine learning, and financial data analytics
3. The curriculum also explores cutting-edge innovations in the financial sector, including AI, blockchain, cloud computing, machine learning, and additional current technologies applicable to the financial and data industries.

Program Educational Objectives (PEOs) 

Within a few years of graduation, the School of Computing expects its Financial Technology alumni will be in professional situations in which they can:

1. Apply technical knowledge and up-to-date skills to analyze, design, and implement computerized systems for Financial data analysis in professional environments. 
2. Pursue an advanced degree in Financial Technology or a related field;
3. Engage in continuous professional development;
4. Participate in FinTech professional organizations and local technical societies
5. Demonstrate leadership in addressing technical and business challenges; and
6. Uphold the moral imperatives and professional responsibilities expected from practicing professionals.

Student Outcomes (SOs)

Students completing the Fintech program will achieve the following outcomes related to skills in the discipline, critical thinking, communication, and professional responsibilities. 

1. Analyze complex financial computing problems using principles from relevant disciplines.
2. Design, implement, and evaluate computing-based solutions tailored to the program’s discipline.
3. Communicate effectively in a variety of professional contexts;
4. Make informed judgments based on legal and ethical principles in financial technology practice.
5. Collaborate effectively within teams engaged in discipline-specific activities
6. Apply theory, techniques, and tools throughout the data analysis lifecycle to meet stakeholders’ needs