Master of Science in Artificial Intelligence and Machine Learning

Class Profile

Class Size

25

Average Age

26

Average Work Experience

2 Years

Diversity

Others:

1%

Asian:

22%

Black or African American:

6%

Hispanic:

15%

White:

44%

Two or More Races:

12%

Career Outcomes

Median Earnings After Graduation

$1,10,000 / year

Graduation Rate

82%

Top recruiters

Deloitte

Google

Aetna

Lockheed Martin

BAE Systems

Genentech

Lowe's

AECOM

Illinois Institute of Technology

Tetra Tech

Aerotek

Texas Tech University

United Technologies

Kellogg's

Micron Technology

Google Cloud

Walnut Unlimited

Fees and Funding

Tuition Fees

$35,000 / year

Overall Cost

$50,000 / year

FAQs

• Q: If I cannot join the AI specialization, will I still be able to learn about how AI is transforming information management?

  

  Yes! We are integrating modules related to artificial intelligence into all four of our core classes in both our online and residential modalities. Additionally, faculty across all our courses are adding modules related to how artificial intelligence is being used in their specific field to prepare students for the workplace.

• Q: Who has priority in registering for AI courses?

  

  In the 2024-25 academic year, MSIM students will have priority in registering for these classes. No other prioritization among MSIM students will happen this year. MSIM students will be able to register for these classes as regular electives. Other iSchool students will have the opportunity to request an add code to join these classes in advance of the final registration period. Non-MSIM students will be able to join these classes during the final registration period, as they can with all other specialization classes. During the 2025-26 academic year, we will run our normal registration process for specialization classes.

• Q: Is there any background knowledge I need to have to take the AI specialization?

  

  There is no background knowledge required for the AI courses beyond any prerequisites listed in the time schedule.

• Q: How technical is the AI specialization?

  

  Each class in the specialization will require a different level of technical expertise to succeed. Our class on Large Language Models is the most technical and requires students to complete IMT 574: Machine Learning before taking the class. The remainder of the classes do not have prerequisites.