The 5 Best AI Masters Degree Programs in Illinois

New AI job listings are up 42% compared with other tech jobs. Specialized education in artificial intelligence has become a strategic career move because of this explosive growth. What’s more, 71% of employers now prefer candidates with AI skills. The field is projected to experience 21% career growth through 2031.

Illinois offers 18 master’s degree programs in artificial intelligence. These programs are designed for professionals seeking advanced positions in machine learning, research and AI architecture. Here are the five best AI masters degree programs Illinois has.

1. University of Illinois Urbana-Champaign – Online Master of Computer Science in Artificial Intelligence

Program Overview and Format

The Siebel School of Computing and Data Science at University of Illinois Urbana-Champaign ranks as a top-5 computer science school according to U.S. News & World Report (2025). Forbes recognizes the university as a “New Ivy” and positions this online Master of Computer Science among the best AI masters programs available through distance education.

You access this program through the Coursera platform. The partnership between Illinois and Coursera launched in 2016 and opened the degree to a global student population while maintaining the same academic rigor as the on-campus version. Your diploma and transcripts show only “Master of Computer Science” without mentioning the online delivery mode.

The program requires 32 credit hours of coursework with no thesis component. You complete eight courses at your own pace, with each course representing 4 credit hours. The flexibility allows you to finish in as little as one year or extend your studies across five years. Each course follows a semester schedule (fall, spring, summer) and may run the full 15 weeks, though some courses conclude earlier.

You receive lectures through Coursera, but Illinois faculty and teaching assistants advise and assess your work on a rigorous set of assignments, projects, and exams required for university degree credit. This structure gives you the convenience of self-paced online learning while ensuring you meet the same standards as students in traditional classroom settings.

The program does not offer research or teaching assistantships to online students. You can postpone enrollment for up to three consecutive semesters with a one-time non-refundable deferral deposit of $750 if you need to defer your admission, which applies to your tuition when you begin.

Core Curriculum and Specializations

The online MCS offers coursework in six core areas: artificial intelligence, databases, human-computer interaction, software engineering, scientific computing, and high-performance computing. You can complete a specialized AI track among other degree options for students pursuing artificial intelligence graduate programs.

You must complete three or more courses with a letter grade of B- or higher to fulfill the AI track requirements. These specialized tracks do not appear on your transcript but earn you a digital certificate and badge from the Siebel School upon completion. The courses you take for the track count toward your degree requirements, so you’re not adding extra credit hours.

The AI research group at Illinois covers the full spectrum from theoretical foundations to applications. Faculty members study theoretical foundations of deep and reinforcement learning, develop novel models and algorithms for deep neural networks, and break down federated and distributed learning. Computer vision research has 2D and 3D scene understanding, joint understanding of images and language, and low-shot learning for recognizing rare or previously unseen categories.

Natural language processing faculty work on grounded language understanding, information extraction and text mining, and knowledge-driven natural language generation. Robotics research focuses on planning algorithms for grasping, locomotion, and navigation along with multi-robot systems and applications in medicine, agriculture, home care, and autonomous driving.

You can complete the data science track in conjunction with your MCS degree with no extra credit hours if you prefer a data science focus. This track requires breadth coursework covering machine learning, data mining, data visualization, and cloud computing plus three advanced courses from specialized offerings.

Tuition and Financial Value

The tuition structure follows a pay-as-you-go model. You pay only for the courses you take each term, and you can take a term off without incurring charges if a scheduling conflict arises.

The entire degree costs about the same as a three-course graduate certificate from Carnegie Mellon or Stanford. Fortune revealed the Top 10 Affordable Online Master’s in Data Science Programs for 2024 and highlighted this program at $19,840 for in-state residents as a competitively priced option.

You can calculate your costs using the Illinois Cost Calculator on the university’s website. The MCS program holds accreditation from the Higher Learning Commission and makes enrolled students eligible for federal financial assistance. Domestic students may qualify for Federal Student Aid, and more information on financial assistance appears on the Office of Student Financial Aid website and the Graduate College funding website.

C3.AI, a leading enterprise AI software provider, partnered with the university to provide eligible employees with a reimbursed MCS degree focused on data science. C3.ai employees receive a 15% salary increase, a $25,000 cash bonus, and stock option equity awards upon successful completion. Nearly 700 students were enrolled in the program as of 2018.

Career Outcomes and Alumni Success

Graduates demonstrate average U.S. salaries of over $131,000 in computer science and over $145,000 in data science. The program prepares you for high-demand roles that have software engineer, site reliability engineer, data engineer, data scientist, machine learning engineer, systems engineer, and security engineer.

Big tech companies recruit heavily from UIUC and have Google, Meta, Amazon, Microsoft, and Apple. Mid-sized tech firms and startups also hire graduates for positions in SaaS, cloud, devtools, fintech, and healthtech. New graduate software engineers earn $110,000 to $160,000 base salary, with total compensation higher depending on location and equity bonuses. Data and ML engineers fall in the mid to upper end of that range.

You gain access to a global network of over 800,000 alumni worldwide. The Handshake job platform connects you to tens of thousands of jobs and internships posted by companies seeking Illinois talent each year. Undergraduate computer science graduates from Illinois report an average starting salary of $139,000 with a median signing bonus of $30,000, with 97% employed or continuing education.

Sample employer destinations for Illinois computer science graduates have Amazon, Apple, Capital One, Google, IBM, Meta, Microsoft, Netflix, Sandia National Laboratories, and Twitch. Graduate school destinations have Carnegie Mellon University, Georgia Institute of Technology, Massachusetts Institute of Technology, Stanford University, and University of California, Berkeley.

The admissions committee requires a GPA of 3.0 on a 4.0 scale for the last two years of undergraduate study, though students admitted have a GPA exceeding 3.2. The program does not require GRE scores for admission. Applications for the Spring 2027 cohort close on October 30, 2026.

2. Northwestern University – Master of Science in Artificial Intelligence

Program Overview and Format

Northwestern Engineering’s McCormick School houses this intensive Master of Science in Artificial Intelligence program on the Evanston campus. You commit to a full-time schedule over 15 months and join an intentionally small cohort of about 45 students each year. This cohort size gives you individualized instruction and helps you build close professional relationships that extend beyond graduation.

The program offers two distinct tracks. The traditional MSAI track begins in September and runs for 15 months, with classes held on weekdays. You complete four quarters of coursework: fall, winter, spring, and a second fall quarter. You can pursue a three-month internship between your first and second year during the summer, which carries no tuition cost.

The MSAI+X track serves professionals who want to supplement their current advanced degree with AI expertise. This accelerated option starts in June with a summer bootcamp where you acquire and refine programming and mathematical skills. You then complete 12 months of study alongside traditional track students from fall through spring. Both tracks share the core experience from the first fall through the end of the following spring quarter.

You must have completed a BA/BS in Computer Science or a related field before applying. The admissions committee gives strong preference to applicants with at least two years of work experience in development, design, or software architecture. GRE scores remain optional, though you must submit three letters of recommendation from either undergraduate faculty or current employers and managers.

Core Curriculum and Specializations

The curriculum divides into technical courses comprising 70% of your coursework and business courses representing 30%. This blend prepares you to build sophisticated AI systems and understand how to integrate them into business workflows and human environments.

Your technical courses cover the full breadth of artificial intelligence technologies. You learn about machine learning, natural language processing, and automated reasoning systems. Faculty research spans perceptual systems, robotics, and the integration of analytical methods with higher-order cognition. The curriculum builds on your increasing knowledge of complex AI technologies and workflows.

Business courses in finance, marketing, and management provide a framework for translating technical capabilities into solutions. You learn to recognize the psychological and design implications of human interactions with intelligent systems. Understanding how business needs affect the way intelligent systems are thought over and deployed becomes central to your education.

Northwestern faculty bring extensive industrial experience in developing enterprise-grade solutions. The program benefits from partnerships with technology-focused companies in Chicago and links you to internship and recruiting chances throughout your studies. You work with industry through a capstone project that integrates knowledge gained across the curriculum.

Your final project can take two forms. You may pursue the capstone experience on your own or as part of a team. Faculty guide you in learning the body of knowledge on information systems while contributing research of value to the field. This hands-on experience gives you the chance to work with large-scale data and tackle real-life challenges beyond typical classroom projects.

Tuition and Financial Value

The 2026-27 academic year sets full-time tuition at $23,662 per quarter. Your total investment depends on which track you choose:

You should budget for annual living expenses of about $24,000 beyond tuition. Additional costs include a student activity fee of $125 per quarter, health services fee of $298 per quarter, and textbooks ranging from $500 to $1,000. International students must carry Northwestern University health insurance.

The program does not offer institutional grants, scholarships, or teaching assistantships. You must identify funding chances on your own through resources at the McCormick School of Engineering or Northwestern University’s Office of Fellowships. Financial aid remains available to students who qualify, and you must comply with the Financial Aid Satisfactory Academic Progress Policy to maintain eligibility.

Career Outcomes and Alumni Success

Graduates secure full-time positions as software engineers, data scientists, AI/ML engineers, and consultants. Fortune 500 companies recruit from the program, including Amazon, Capital One, Deloitte, Facebook Meta, Google, Microsoft, Merck, Samsung, TikTok, The Home Depot, and Vanguard.

The program’s emphasis on weaving industry partnerships with classroom experience helps your career trajectory. You can pursue roles as an AI architect, machine learning engineer, or data analyst. The combination of technical depth and business acumen prepares you to lead teams in the design and development of new artificial intelligence technologies and products.

Your network extends beyond immediate classmates. The diverse backgrounds within your cohort bring different points of view to projects and allow you to learn from both classes and peers. Alumni report that the curriculum’s coverage of both modeling and platform sides of data science, machine learning, and AI applies to their professional work. Northwestern’s robust alumni networks and career office support connect you to chances across all sectors.

The application deadline for the traditional track falls in early spring, though the program reviews applications on a rolling basis and may close when full. Strong applicants demonstrate self-directed work in Computer Science through shared code repositories, open source publications, and participation in developer forums like Stack Overflow.

3. Illinois Institute of Technology – Master of Artificial Intelligence

Program Overview and Format

Illinois Institute of Technology’s Master of Artificial Intelligence positions you at the intersection of academic rigor and industry application, minutes from Chicago’s tech hub. The College of Computing delivers this program through a flexible structure requiring 30 credit hours of coursework in artificial intelligence, interdisciplinary applications, and computer science.

You design your path through the program by selecting from core requirements and specialized electives. The curriculum allows 10 credit hours maximum of 400-level courses, with a minimum of 18 credit hours coming from CS or CSP designated courses. This structure gives you control over your specialization and ensures you build fundamental expertise in AI technologies.

The program duration spans 18 to 24 months, depending on your course load and schedule. You work through coursework covering machine learning, deep learning, computer vision, natural language processing, probabilistic reasoning, and data analytics. Faculty members bring active industry experience and provide insights from their work as practitioners and researchers in the tech sector.

Illinois Tech’s location provides access to Chicago’s expanding technology scene. This proximity enables you to pursue internships and network with companies while completing your degree. Student Maggie Barclay secured an internship with IBM through coursework in artificial intelligence and developed skills aligned with her long-term career goals. Amr Alshatnawi advanced his career trajectory through an internship at NASA’s Johnson Space Center.

Core Curriculum and Specializations

Your foundation begins with two required core courses totaling 6 credit hours. CS 581 Advanced Artificial Intelligence explores knowledge representation, reasoning, planning, and problem-solving techniques. CS 584 Machine Learning covers principles and techniques including supervised, unsupervised, and reinforcement learning. You may substitute MATH 569 Statistical Learning for the machine learning requirement if your interests lean toward mathematical approaches.

You select 9 to 21 credit hours from artificial intelligence electives after the core. Options include CS 512 Computer Vision, CS 577 Deep Learning, CS 578 Interactive and Transparent Machine Learning, CS 579 Online Social Network Analysis, CS 583 Probabilistic Graphical Models, and CS 585 Natural Language Processing. This flexibility allows you to concentrate on areas matching your career objectives.

Data processing and analytics electives require 3 to 15 credit hours from courses like CS 520 Data Integration, Warehousing, and Provenance, CS 522 Advanced Data Mining, CS 525 Advanced Database Organization, CS 546 Parallel and Distributed Processing, and CS 554 Data-Intensive Computing. These courses prepare you to handle large-scale data challenges in AI applications.

The program distinguishes itself through interdisciplinary electives spanning 0 to 12 credit hours. You can explore AI applications in biomedical engineering, business, robotics, finance, linguistics, philosophy, and psychology. Course options include neurobiology, computational neuroscience, cognitive science, business statistics, robotics, machine learning in finance, and ethics in computer science. This breadth enables you to apply artificial intelligence skills in a variety of fields including biomedical engineering, robotics, business, and psychology.

Tuition and Financial Value

Graduate tuition for the 2026-2027 academic year totals $34,650 for 18 credit hours, with an additional $1,850 in fees. The program requires 30 credit hours, and your total investment breaks down as follows:

First-year costs approximate $29,349 for tuition based on typical course loads. You pay per course, which gives you flexibility to manage expenses throughout semesters. All tuition and fees remain subject to revision by Illinois Tech’s Board of Trustees.

Living expenses add to your budget if you relocate to Chicago. Annual housing averages $11,700, with food costs around $4,950. Transportation, personal expenses, and other costs bring total annual living expenses to approximately $24,000. International students on F-1 or J-1 visas must demonstrate financial support covering tuition, housing, and fees for one full academic year before receiving an I-20 or DS-2019.

Career Outcomes and Alumni Success

Within six months of graduation, 94% of Illinois Tech graduates secure employment in their intended fields. The median salary reaches $94,000 for graduates in all programs. Positions available to artificial intelligence master’s graduates include AI researcher, machine learning engineer, and AI specialist in industries like healthcare, finance, and technology.

Employers recruit from diverse sectors. Health care, finance, and technology companies hire for roles requiring AI expertise. Graduate Devyani Gauri found artificial intelligence compelling both for developing the technology and learning about its ethical applications.

Career Services coordinates two annual career fairs attracting employers seeking qualified candidates. The university provides resume writing support, mock interviews, networking guidance, and professional development workshops. You gain access to co-op and internship opportunities throughout your studies.

Illinois Tech ranks 1st in Illinois and 22nd nationally for best salaries of graduates according to Wall Street Journal/College Pulse 2026. Graduates work in engineering, business development, IT, operations, program management, marketing, consulting, finance, and product management. Employment destinations include Amazon, CVS Health, and various Fortune 500 corporations.

The program prepares you to lead AI advancements in multiple industries. You build technical and mathematical skills in machine learning, natural language processing, computer vision, and bioinformatics to excel in current roles and adapt to future developments in the field.

4. Lewis University – Master of Science in Artificial Intelligence

Program Overview and Format

Lewis University’s Master of Science in Artificial Intelligence launched in 2025. The program serves professionals seeking advanced expertise in machine learning, deep learning, and informed innovation. The Romeoville campus operates the program and offers on-campus, online, and hybrid scheduling options that accommodate working professionals, educators, and students balancing multiple commitments.

You complete the degree across four semesters and require 34 credit hours minimum. The curriculum is divided into 25 credit hours of core courses that have a 3-credit-hour Master’s Project, 6 credit hours of foundation courses, and 3 credit hours of electives. Students with strong computer science backgrounds may substitute elective courses for foundational coursework.

The STEM designation provides international students with a 3-year OPT extension beyond their degree completion. A baccalaureate degree from a regionally accredited institution is required for admission. You also need a minimum undergraduate GPA of 3.0 on a 4.0 scale, an application with accompanying fee, official transcripts, and two letters of recommendation. International students must present a TOEFL score greater than 79 or an IELTS score greater than 6.5.

Your final experience centers on CPSC 69300 AI Master’s Project. You develop a solution to an AI-related problem, write a capstone paper, and deliver a capstone presentation. This hands-on component can be completed at any time during the academic year with flexible scheduling.

Core Curriculum and Specializations

Foundation courses totaling 6 credit hours cover CPSC 50100 Programming Fundamentals and DATA 50000 Mathematics for Data Scientists. These establish your base for advanced artificial intelligence graduate programs work.

Core coursework spans 27 credit hours across specialized domains. CPSC 57100 Artificial Intelligence 1, CPSC 57600 Responsible AI and Strategic Applications, CPSC 57700 Machine Learning Operations, and CPSC 57900 Generative Artificial Intelligence form the program’s foundation. DATA 51100 Statistical Programming, DATA 54000 Large-Scale Data Storage Systems, DATA 55100 Unsupervised Machine Learning, and DATA 56000 Neural Networks and Deep Learning build your technical capabilities.

Elective options have CPSC 57200 Artificial Intelligence 2, CPSC 57400 Natural Language Processing, CPSC 65100 Reinforcement Learning, DATA 51000 Data Mining and Analytics, DATA 51200 Multivariate Data Analysis, DATA 55000 Supervised Machine Learning, DATA 56600 Digital Image Processing, and DATA 62500 Data Mining for Cyber Security.

Faculty guide research opportunities in generative AI, deep learning, machine learning, responsible AI, machine learning operations, and applied AI for business applications. You research and apply current state-of-the-art theories and scientific methods related to AI to solve real-life problems. Small class sizes enable high interaction with experienced faculty who emphasize real-life examples and practical skill building.

Tuition and Financial Value

The program costs $18,700 for the 2027 academic year. This positions Lewis among the best AI Masters programs for affordability in Illinois while maintaining quality instruction and industry connections.

Beyond tuition, you access state-of-the-art computer labs, cloud computing environments, and the latest versions of commercial and open-source software. Classes meet during weekday evenings and online. Heavy integration of classroom technology enables participation even when you can’t attend campus in person.

Career Outcomes and Alumni Success

Graduates secure positions as machine learning engineers, data scientists, AI research scientists, automation engineers, AI product managers, computer vision engineers, natural language processing specialists, business intelligence developers, and AI consultants or strategists. Technology and software development, healthcare and medical innovation, finance and banking, manufacturing and robotics, cybersecurity and defense, education and research, and transportation and logistics recruit Lewis graduates.

Employment in computer and information technology occupations is projected to grow much faster than average according to the U.S. Bureau of Labor Statistics. 96% of Lewis University graduates find employment or continue to graduate school. More than 300 employers recruit Lewis graduates through industry connections annually.

Faculty connections in the computer science industry bring job opportunities and projects to students. You participate in an internship co-op program with Argonne National Laboratory and several other employers. Hands-on projects for multiple industries and organizations provide service-oriented experience. Career Services assists with resume writing, interview preparation, elevator pitch building, and other support areas.

The program prepares you for dynamic careers in academia, industry, and technology sectors. You gain both technical skills and a strong ethical foundation through coursework emphasizing real-life applications, ethics, data analysis, and machine learning.

5. DePaul University – Master of Science in Artificial Intelligence

Program Overview and Format

DePaul’s Jarvis College of Computing and Digital Media has managed to keep active programs in AI-related areas for more than 20 years. This MS in Artificial Intelligence stands as one of the best AI Masters programs with 20+ years of academic depth. You complete between 48 and 72 quarter hours depending on your background. Introductory courses get waived if you possess appropriate coursework, verified professional experience, or pass Graduate Assessment Examinations.

The program operates on DePaul’s quarter system through both on-campus and online formats. You can choose delivery methods that fit your schedule. Small cohort sizes ensure personal attention from faculty who bring research expertise in AI and computer science fields. STEM designation benefits international students and qualifies you to extend your post-graduation stay in the United States.

Core Curriculum and Specializations

Your degree requirements include 32 credits of required courses covering the full spectrum of artificial intelligence technologies. Core coursework has CSC 421 (Applied Algorithms and Structures), CSC 480 (Artificial Intelligence I), CSC 483 (Applied Deep Learning), CSC 484 (Ethics in Artificial Intelligence), CSC 580 (Artificial Intelligence II), CSC 583 (Natural Language Processing), CSC 587 (Cognitive Science), and DSC 445 (Machine Learning I).

You select 8 credits from major electives including computer vision, image processing, recommender systems, advanced deep learning, robotics, mining big data, and AI-driven software development. Advisor-approved graduate courses in the School of Computing range of 421-699 give you 4 credits of open electives. This flexibility lets you arrange studies with career goals.

Your capstone experience offers three paths: CSC 675 (Capstone in Artificial Intelligence), CSC 695 (Master’s Research for original contributions), or CSC 697 (Graduate Internship integrating academic experience with on-the-job AI project training).

Tuition and Financial Value

The 2026-27 academic year sets tuition at $1,003 per credit hour for Jarvis College of Computing and Digital Media graduate students. Your total investment varies based on introductory course requirements:

Full-time students pay a detailed fee of $150 per term. The Presidential Scholarship may be awarded to incoming CDM graduate students and ranges from $6,000 to $9,000. It gets applied during admissions review.

Career Outcomes and Alumni Success

The program prepares you for professional careers as AI/ML engineers or research scientists. You’ll manage intelligent systems development and design. DePaul’s Career Center tracks graduate outcomes as a three-year average and confirms them six months after degree completion. Graduates secure employment equipped with tools, resources, and connections for sound career decisions across technology and healthcare sectors requiring AI expertise.

Next Steps

Each program highlighted offers distinct advantages suited to different professional needs and circumstances. Your decision should match your budget, schedule flexibility and career objectives. UIUC delivers exceptional value through affordable online education. Northwestern provides intensive industry immersion. Illinois Tech and Lewis University balance cost with practical application, and DePaul brings decades of expertise to the table.

All five programs prepare you for high-demand AI careers with strong salary potential and employer connections. The explosive growth in AI job listings makes this an opportune time to invest in specialized education. Review your priorities—whether that’s cost or program structure—then choose the path that best positions you for success in artificial intelligence.