Pace University

How this program compares

At an estimated $50.1K in total tuition, the MS in Computer Science - Artificial Intelligence sits about 17% above the $42.9K average for AI master's programs in our database — placing it in the 69th percentile on cost among the 394 we track at this level. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and relevant coursework in data structures, algorithms, and mathematics.

About This Program

This STEM-designated master’s program prepares students to design, implement, and manage artificial intelligence systems for real-world problem-solving. Coursework concentrates on Computer Vision and Natural Language Processing (NLP). Most students complete it in about 2 years.

At roughly $50.1K total, Pace University's MS in Computer Science - Artificial Intelligence sits above the $42.9K average among AI master's programs we track — the 69th percentile on price. Applicants should weigh that premium against the program's outcomes and brand.

It is one of 56 AI-related programs we track in New York, of which about 43% offer an online option. On price, it comes in cheaper than about 50% of the New York programs in our data, where typical tuition runs near $59.9K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Design and implement machine learning models for real-world applications.

Career Outcomes

The MS in Computer Science - Artificial Intelligence at Pace University (New York, New York) is oriented toward Machine Learning Engineer hiring, with alumni reporting pay near $120,000. Its focus on Computer Vision and Natural Language Processing (NLP) maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

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

What You'll Learn

• Design and implement machine learning models for real-world applications
• Develop deep neural networks for tasks like image recognition and sequence modeling
• Apply natural language processing techniques to analyze and generate human language
• Evaluate AI systems for ethical implications, bias, and fairness

Curriculum Highlights

The program integrates computer science foundations with specialized research in the Pace AI Lab and human-centered AI design.

Top Employers

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

Admissions

Admission to Pace University's MS in Computer Science - Artificial Intelligence generally expects a bachelor's degree. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions