Unlock your potential in business with AI skills.

Simon’s MS in AI in Business equips you with the skills needed to excel in a rapidly evolving business landscape. Integrating AI with core strategies, the curriculum ensures you gain technical knowledge and learn to apply it to create value across industries, focusing on real-world applications, cutting-edge technologies, and essential business disciplines.

Request Information

Choosing between internship and non-internship tracks.

Full-Time MS in AI in Business students can select either the internship or non-internship track based on their career objectives. During the admissions process, counselors will help determine which path suits you best. After admission, the Benet Career Management Center will support you in reviewing your choice to ensure it aligns with your evolving career goals. For further details, check out our course catalog.

Internship Track

Benefits of the internship track might include additional networking, visibility to trends in the US employment market, and an opportunity to gain additional work experience prior to a full-time job search.

Non-Internship Track

An internship is not required to satisfy graduation requirements. The non-internship track also has a shorter program timeline, making it a more accelerated option.

Program Requirements 

Students are required to take the following courses:
Click on a card for a description of that course. 

GBA464

Programming for Analytics (2.5 credits)

MGC461

Professional Communication (4 credits)

GBA424

Analytics Design and Applications (2.5 credits)

GBA462P

Core Statistics for MS Students Using Python (2.5 credits)

GBA463

Economics and Marketing Strategy for MS Students (2.5 credits)

GBA478

AI and Business (2.5 credits)

CIS455

AI Business Project (3 credits)

CIS467

Data Management, Warehousing, and Visualization (2.5 credits)

CIS434

Social Media and Text Analytics (2.5 credits)

CIS433

AI and Deep Learning (2.5 credits)

Electives

Students choose one of the following elective courses (each worth 2.5 credits):  
Click on a card for a description of that course. 

GBA436R

Predictive and Causal Analytics in R

GBA466

Accounting and Finance for MS Students

MKT414

Pricing Policies

OMG402

Operations Management

Students choose two of the following elective courses (each worth 2.5 credits): 
Click on a card for a description of that course. 

CIS432

Machine Learning for Business Analytics

GBA468P

Prescriptive Analytics with Python

CIS431

Big Data