Master of Science in Artificial Intelligence for Business

^[1]This program is not suitable for students seeking a student visa (F1/J1) or currently holding a student visa (F1/J1). The program will not allow for maintenance of status from within the U.S.

Testimonial

I was pleasantly surprised by the vibrant, collaborative community here. I initially thought that making connections would be difficult, but the support I’ve received from both faculty and peers has been incredible.

Career Outlook for Master of Science in AI for Business

Based on data for operations management and information systems (OMIS) graduates.

Source: Steppingblocks, {{steppingBlocksSourceYear}}

How to Apply

Admission is competitive and limited to candidates who demonstrate high promise of success in the program.

You must have a minimum 2.75 overall GPA (based on a 4.00 system) in your undergraduate program. If your GPA is below the required level, you may be recommended for admission if you meet one of the following criteria:

• Earned an undergraduate or graduate degree from the NIU College of Business or a closely related NIU program
• Demonstrated exceptional performance on the GRE or GMAT. (Test scores are not required for application or admission, but if available, will be considered if the applicant’s GPA is below the required level.)

You’ll apply through the Graduate School. Please note the application deadlines on applying to NIU page.

Costs and Funding

Learn more about tuition and fees. For a personalized overview of costs, use the NIU Planning and Cost Estimator.

Scholarships and Assistantships

We award a number of graduate assistantships that involve various academic duties for the department or a faculty member. The assistantship covers part of your tuition and provides a stipend. These awards are competitive, and selection is based on factors such as test scores, experience, academic achievement and departmental needs.

Complete and submit an assistantship application directly to the OM&IS department following admission to the program.

You're also encouraged to apply to the many assistantship opportunities available campuswide at NIU.

Scholarships and Graduate Assistantships

Curriculum and Requirements

The MSAIB is an online program with online recorded classes (asynchronous). You can take classes full time (at least nine credit hours per semester) or part time and adjust as needed.

Phase One Requirements

The Phase One foundations consist of four two-semester-hour courses, designed to ensure students are successful in the MSAIB curriculum. These courses will be required in the student’s program of study unless the student has met the requirements with previous college-level coursework. The department MSAIB program advisor will determine which Phase One courses will be included in each student’s program of courses.

• OMIS 505 - Principals of Operations Management (Credits: 2)
• OMIS 507 - Business Information Systems (Credits: 2)
• OMIS 524 - Business Statistics (Credits: 2)

One of the following:

• ACCY 505 - Financial Accounting Concepts (Credits: 2)
• FINA 505 - Fundamentals of Financial Management (Credits: 2)
• MGMT 505 - Principles of Management (Credits: 2)
• MKTG 505 - Graduate Survey of Marketing (Credits: 2)

Phase Two Core Curriculum Requirements

Required Courses (18) 

• OMIS 598 - Career Planning in AI for Business Credits: 0
• OMIS 599 - Degree Completion Seminar Credits: 0
• OMIS 645 - Applied Business Analytics Credits: 3
• OMIS 660 - Cybersecurity and Network Strategy for Business Credits: 3
• OMIS 662 - Applied Generative AI for Business Solutions Credits: 3
• OMIS 681 - Machine Learning for Business Credits: 3
• OMIS 690 - Project Management for AI Credits: 3 
• OMIS 697 - Digital Transformation Strategy with Artificial Intelligence Credits: 3

Additional Phase Two Requirements

• Twelve hours of elective credit from a list of approved courses.

Electives (12) 

• MKTG 662 - Artificial Intelligence in Digital Marketing Credits: 3
• OMIS 605 - Independent Study for Artificial Intelligence for Business Credits: 1-3
• OR OMIS 695 - Artificial Intelligence for Business Internship Credits: 3
• OR UBUS 585 - Business Consulting Project Credits: 3
• OMIS 630 - Python for Business Credits: 3
• OMIS 643 - Enterprise Process Improvement with SAP ERP Credits: 3
• OMIS 644 - Cloud Computing Strategy and Management Credits: 3
• OMIS 652 - Data Management in Business Credits: 3
• OMIS 661 - Business Intelligence Applications and Tools Credits: 3
• Or UBUS 660 - Applied Tools for Business Decision Making Credits: 3
• OMIS 673 - Business Data Visualization Credits: 3
• OMIS 691 - Advanced Business Applications of AI with Deep Learning Credits: 3
• UBUS 670 - Artificial Intelligence for Business Leaders Credits: 3

View Degree Requirements

Faculty

Our faculty bring diverse experiences, backgrounds, scholarship and expertise from various areas in business. They’re committed to facilitating engaging learning experiences in and outside the classroom.

Our faculty possess extensive teaching and research expertise in these areas:

• AI
• Deep learning
• Big data
• Business analytics
• Business enterprise computing
• Business intelligence
• Enterprise resource planning
• Data mining
• Data modeling
• Database management
• Internet and web computing
• Networking and telecommunications
• Project management
• Social media analytics
• Systems analysis and design

More About Our Faculty