Develop competencies required to cultivate an innovative organizational culture in the financial services industry. Learn how to develop, evaluate, and manage a strategic technology plan. Explore fintech project management topics, life cycle models, development processes, business analysis, risk analysis, vendor selection and cybersecurity. (3 credits)
Students will learn artificial intelligence and machine learning strategies and how they can be used to build more efficient financial services. AI/ML techniques include decision trees, kNN, Random Forests, SVM for applications such as credit evaluation, fraud detection, loan underwriting, algorithmic trading, and chatbots.
In this course, you will explore digital marketing management and focuses on building and leading diverse teams.
This course covers industry-leading technologies in digital marketing including social media management, email marketing and analytics tools.
Computer programming is an essential part of data science. When working with large data sets, it’s especially important to be able to write effective, efficient code to help you organize and understand the data. In this course, we’ll introduce you to one of the most widely-used programming languages for data science: Python. You’ll gain experience working
This course will prepare you to master technical, informational, and persuasive communication to meet organizational goals. Technical communication topics include a study of the nature, structure, and interpretation of data. Informational communication topics include data visualization and design of data for understanding and action. Persuasive communication topics include the study of written, verbal, and nonverbal
Explore data mining methods and procedures for diagnostic and predictive analytics. Topics include association rules, clustering algorithms, tools for classification, and ensemble methods. Computer implementation and applications will be emphasized. DS 740 Syllabus
