Rutgers, The State University of New Jersey

How this program compares

Budget-wise, $33K puts this master's program at the 48th percentile on cost — roughly 23% below the $42.9K average across 394 comparable listings. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: Applicants typically hold a bachelor's in computer science or a closely related field with strong programming and discrete math background. GPA expectations and prerequisite gaps are defined by the Graduate Director—check the current MS admissions page for test score and bridge policies.

About This Program

This entry describes Rutgers' MS in Computer Science with the AI/Machine Learning concentration at the New Brunswick computer science graduate program—distinct from the broader MS CS page because it maps directly to the department's published AI/ML study plan. Most students complete it in about 2 years.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $130,000.

Satisfy MS graduation requirements while depth-stacking AI, ML, and pattern recognition coursework.

Estimated total tuition is $33K, below the $42.9K average for AI master's programs in our database and in the 48th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

It is one of 21 AI-related programs we track in New Jersey, of which about 62% offer an online option. On price, it comes in cheaper than about 60% of the New Jersey programs in our data, where typical tuition runs near $44.1K.

Career Outcomes

Graduates of Rutgers, The State University of New Jersey's MS in Computer Science (AI Machine Learning concentration) most often target Machine Learning Engineer roles, where reported compensation runs around $130,000. Its focus on Machine Learning and Computer Vision 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. Applied Scientist
• 3. Software Engineer (AI infrastructure)
• 4. Data Scientist

What You'll Learn

• Satisfy MS graduation requirements while depth-stacking AI, ML, and pattern recognition coursework.
• Build on statistical and algorithmic foundations expected for research and industry ML roles.
• Select electives in NLP, vision, robotics, or systems depending on career goals.
• Option for limited independent study credits where permitted by the program.

Curriculum Highlights

Rutgers Department of Computer Science publishes a concentration plan for AI/Machine Learning: six required graduate courses distributed across mathematical foundations, algorithms, tools for large-scale data, knowledge discovery (including AI, pattern recognition, and machine learning), and visualization, plus electives drawn from NLP, vision, robotics, and related CS areas. Students should confirm elective rules and independent-study caps with the current MS handbook.

Top Employers

Rutgers CS graduates are recruited broadly across technology, finance, and defense sectors in the New York and New Jersey metro areas and nationally.

Admissions

Admission to Rutgers, The State University of New Jersey's MS in Computer Science (AI Machine Learning concentration) generally expects a bachelor's degree (cs or related). Plan for the GRE, which this program lists as policy varies by year—verify with rutgers graduate admissions. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Personal statement / Statement of Purpose: Required
• Letters of Recommendation: Typically three (verify current requirement)
• Resume: Required
• Transcripts: Official transcripts required
• GRE scores: Confirm current policy on the Graduate Admissions and CS MS application pages
• English proficiency tests for international applicants

Frequently Asked Questions