MasterOnlineFull-Time, Part-Time

Pace University

Online MS in Computer Science – Artificial Intelligence

New York, New York1.5 $50K 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 — see our methodology.

How this program compares

At an estimated $49.5K in total tuition, the Online MS in Computer Science – Artificial Intelligence sits about 17% above the $42.4K average for AI master's programs in our database — placing it in the 69th 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
FormatOnline

Admission Snapshot

Degree Required
Bachelor's degree
Duration
1.5 years
Est. Tuition
$50K total
Format
Online
Schedule
Full-Time, Part-Time
GRE / GMAT
Required
Concentrations
Machine Learning, AI Engineering / Applied AI

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 proficiency in programming (e.g., Python), data structures, linear algebra, and calculus. GRE scores are optional, and relevant work experience or coursework may strengthen applications.

About This Program

This online master’s program provides identical technical training in AI and machine learning to the university's on-campus offering. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1.5 years.

Estimated total tuition is $49.5K, above the $42.4K average for AI master's programs in our database and in the 69th percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Excel as Machine Learning Engineer in Cross-Industry AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Career Outcomes

Excel as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

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

What You'll Learn

  • Design and implement machine learning models for predictive analytics and pattern recognition.
  • Develop deep learning architectures for processing complex data like images and text.
  • Apply natural language processing techniques to build intelligent language-based systems.
  • Evaluate AI systems for ethical implications, bias mitigation, and societal impact.

Curriculum Highlights

Coursework emphasizes algorithms, software development, and the practical application of AI in various technological and business settings.

Top Employers

Top employers include Google, Microsoft, Amazon, IBM, and tech firms developing AI solutions.

Admissions

A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with proficiency in programming (e.g., Python), data structures, linear algebra, and calculus. GRE scores are optional, and relevant work experience or coursework may strengthen applications.

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: Optional
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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