BUS 1023 Applied Mathematics for Business (3-3-3)

The course introduces the basic concepts of applied mathematics and statistical techniques. The course will cover the application of percentages and linear models in business situations and decision making. An important component will be the computational skill development of simple and compound interests in real-life situations. Statistical components will cover introductions to statistics terms, organization/display of data and analysis of univariate data. In addition to mathematical methods, the course will also emphasize the importance of logical reasoning in decision-making processes.

BUS 2403 Innovation and Entrepreneurship (2-2-3)

Applies the Stanford-informed approach to learning innovation and entrepreneurship through the identification of local or global problems and generating innovative and entrepreneurial ideas to resolve them. Through project-based learning, this course identifies, discusses and analyses various business challenges which entrepreneurs face in a rapidly changing economic environment and guides students to develop the tools necessary to analyze themselves, as entrepreneurs, and their markets in order to start new businesses that revolve around innovations.

BUS 2503 AI for Business (2-2-3)

This course introduces students to the fundamental concepts of Artificial Intelligence (AI) and explores its diverse applications, focusing on business impact and ethical considerations. Students will be introduced to Generative AI, learning to evaluate its capabilities, investigate applications across sectors and use tools for creating text, code, images, audio, and video. By the end of the course students will have the knowledge and skills to employ best practices in prompt engineering and develop basic Generative AI-powered applications using no-code platforms for various business solutions

BUS 3013 Data Science for Business (2-2-3)

Introduces data science concepts and their applications in business contexts. Students will be introduced to the process of data collection, processing, and analysis as a driver of business decision-making. The course covers data literacy, preprocessing techniques, exploratory analysis, and machine learning applications. Emphasis is placed on extracting actionable insights from data, developing analytical workflows, and generating data-driven business recommendations. Through a combination of theoretical study and practical exercises, students will develop skills essential for leveraging data

BUS 3123 Business Research Methods (2-2-3)

Introduces students to the process of applied research focusing on the collection, analysis, and reporting of reliable and credible sources of information to answer a research question.