Concentration

Applied Artificial Intelligence Concentration

The Applied Artificial Intelligence concentration prepares students to leverage AI, data, and digital technologies to solve real business and entrepreneurial challenges. Rather than building AI models from scratch, students develop the knowledge needed to understand AI capabilities, limitations, and their implications for business and social value creation. Through coursework in enterprise systems, databases, AI-powered automation, human-AI collaboration, and digital strategy, students learn to critically evaluate AI tools, prototype practical digital solutions, and make informed decisions about technology adoption that consider diverse stakeholders and environmental impact. Designed for future business leaders and entrepreneurs, the concentration develops technical fluency, strategic judgment, digital responsibility, and cross-functional skills needed to lead confidently in organizations where people, AI systems, and technical teams work together.

Sponsoring Division: Operations and Information Management

Supporting Divisions: Mathematics, Analytics, Science and Technology & Entrepreneurship 

Faculty Contact: G. Shankar 

 

Required Course

The concentration requires fulfilling 14-16 credits total, including the mandatory course below. The other 10-12 credits may be fulfilled from the list of elective courses below (non-exhaustive list). The mandatory course needs to be completed but is not a pre-requisite for any of the courses on the list below. 

Course Code
Title
Credits
Sub-Total Credits
4

Elective Course(s)

Choose (the remaining) 10-12 credits from the following list of courses (other courses outside this list MAY be considered if the course demonstrates application of AI for a specific topic area and requires approval from OIM division).  We strongly suggest (not required) that the student includes only one course from overseas (study abroad) for this concentration although most of all concentrations in Babson allow for 1-2 courses from abroad. All courses below are 4 Credits each unless stated otherwise.

Course Code
Title
Credits
Sub-Total Credits
62

Total Credits: 14-16