Syracuse, USA
DURATION
1 year
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
01 Oct 2025
EARLIEST START DATE
Aug 2025
TUITION FEES
Request tuition fees
STUDY FORMAT
On-Campus
Key Summary
Introduction
Earn your master’s degree in AI.
With a master’s degree in Artificial Intelligence, you’ll learn to apply advanced machine learning models ethically and with a human-centered approach. Our applied program means you’ll get hands-on experience with LLMs, develop robust applications, and graduate with a portfolio demonstrating your expertise.
- Use deep learning models to develop robust applications.
- Use Python to integrate and leverage public generative AI APIs.
- Explore ethical implications and improve human-AI collaboration.
- Pursue a career in one of today’s fastest-growing, most in-demand fields.
- Complete your master’s degree in artificial intelligence in as little as one year.
Admissions
Curriculum
Courses & Curriculum
The master’s degree in artificial intelligence is 31 credits and can be completed in as little as one year. The curriculum combines a primary core, the choice of three tracks for your secondary core, and electives to give you a strong data science foundation with a focus of your choosing.
Primary Core: 21 Credits
- IST 664 - Natural Language Processing 3 credit(s)
- IST 675 - Dynamics of Human AI Interaction 3 credit(s)
- IST 687 - Introduction to Data Science 3 credit(s)
- IST 688 - Building Human Centered AI Applications 3 credit(s)
- IST 691 - Deep Learning in Practice 3 credit(s)
- IST 692 - Responsible AI 3 credit(s)
- IST 736 - Text Mining 3 credit(s)
Secondary Core: 9 Credits
Students select 3 courses (9 credits) from one of the tracks below.
Data Science
- IST 659 - Data Administration Concepts and Database Management 3 credit(s)
- IST 686 - Quantitative Reasoning for Data Science 3 credit(s)
- IST 707 - Applied Machine Learning 3 credit(s)
- IST 718 - Big Data Analytics 3 credit(s)
Cloud Computing
- IST 615 - Cloud Management 3 credit(s)
- IST 659 - Data Administration Concepts and Database Management 3 credit(s)
- IST 714 - Cloud Architecture 3 credit(s)
- IST 769 - Advanced Big Data Management 3 credit(s)
Self-Guided
Students can select any three IST graduate-level courses (9 credits) that provide a coherent experience related to Applied HCAI. Students should consult with the program director to ensure the appropriateness of the courses and consider how the electives will add to their knowledge and skillset. Courses outside of the iSchool must receive permission prior to registration to be used as secondary core credit.
Exit Requirement: 1 Credit
Students take IST783 in their last semester of study.
- IST 783 - Applied Human Centered AI Portfolio 1 credit(s)
Program Outcome
Gain Experience
Complement your master’s degree in AI with real-world experience. From student-led consulting projects to research endeavors, internships, networking events and more, we connect you with the experts and the expertise to take the next step in your career.
Grow Your Potential
In addition to getting practical, on-the-job experience, you’ll have opportunities to join a research lab or collaborate with faculty on their academic work. Your focus on AI will mean your skills will be in-demand on almost any iSchool research team.
Expand Your Career
Our dedicated Career Services team is available throughout your program and after. From resume and cover letter prep to interview training, career advising, and alumni and employer connections, you’ll have the support you need to land your dream job.
Career Opportunities
What can I do with a master’s in artificial intelligence?
A master’s degree in AI opens doors to careers across industries. Analyze consumer behavior as a marketing analyst. Improve outcomes in the healthcare industry. Develop new applications at a tech startup. With this leading-edge degree you’ll have in-demand skills and knowledge, and great earning potential.
Sample Job Titles
- Machine learning engineer
- Data scientist
- Software engineer
- Business intelligence developer
- Research scientist
- Big data architect
- AI engineer
English Language Requirements
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