MasterOn-Campus, OnlineFlexible

DePaul University

MS in Artificial Intelligence

Chicago, Illinois1.75 $44K total tuition
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Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β€” see our methodology.

How this program compares

At an estimated $44.4K in total tuition, the MS in Artificial Intelligence sits about 5% above the $42.4K average for AI master's programs in our database β€” placing it in the 66th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.

Est. Salary$120,000
Job Growth+23%
Top RoleMachine Learning Engineer
FormatOn-Campus, Online

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.75 years
Est. Tuition
$44K total
Format
On-Campus, Online
Schedule
Flexible
GRE / GMAT
Not Required
Concentrations
Computer Vision, AI Engineering / Applied AI

Typical admitted student: A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA is required, along with demonstrated programming skills and knowledge of probability and statistics. GRE is not required.

About This Program

DePaul University's MS in Artificial Intelligence is offered by its well-regarded School of Computing in the heart of Chicago. The program is known for accessibility to students from varied backgrounds and a practical, applied curriculum in machine learning and AI.

DePaul's strong Chicago employer connections across finance, consulting, and enterprise tech make it a practical choice for students targeting applied AI roles in the Midwest's largest market.

Why students choose it: Applied AI curriculum with deep Chicago employer ties across finance and enterprise.

Career Outcomes

Advance as Machine Learning Engineer in Cross-Industry AI with natural language processing expertise

  • 1. Machine Learning Engineer
  • 2. AI Research Scientist
  • 3. Data Scientist
  • 4. AI Software Developer

What You'll Learn

  • Design and implement machine learning models for supervised and unsupervised learning.
  • Develop deep learning systems using neural networks for complex data analysis.
  • Apply natural language processing techniques to process and generate human language.
  • Build computer vision algorithms for image recognition and analysis.
  • Evaluate ethical implications and ensure fairness in AI deployments.

Curriculum Highlights

The program includes core requirements in applied algorithms, ethics in AI, and machine learning, supplemented by electives in big data mining, cognitive science, and intelligent information retrieval.

Top Employers

Top employers include Google, Microsoft, Amazon, and IBM.

Admissions

A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA is required, along with demonstrated programming skills and knowledge of probability and statistics. GRE is not required.

Application Materials

  • Statement of Purpose: Required
  • Letters of Recommendation: 2–3
  • Resume: Required
  • Transcripts: Official transcripts required

Academic Requirements

  • Degree Required: Bachelor's degree
  • GRE/GMAT: Not Required
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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