Binghamton University, State University of New York

How this program compares

Binghamton University, State University of New York's MS in Computer Science - AI and Machine Learning lists about $18.8K total tuition — roughly 56% below the $42.9K AI master's average (21st percentile in our data). It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: Applicants must hold a bachelor's degree in computer science, engineering, or a related quantitative field with a strong foundation in mathematics, algorithms, and programming. A minimum GPA of 3.0 and relevant coursework in data structures, discrete mathematics, and linear algebra are typically required.

About This Program

A graduate-level track within the Computer Science program focused on the design and implementation of intelligent agents and autonomous systems. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 2 years.

At roughly $18.8K total, Binghamton University, State University of New York's MS in Computer Science - AI and Machine Learning sits below the $42.9K average among AI master's programs we track — the 21st percentile on price. That makes it one of the more affordable options for students weighing return on investment.

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 86% 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 $140,000.

Design, develop, and deploy machine learning models for real-world applications.

Career Outcomes

Binghamton University, State University of New York positions this master track for Machine Learning Engineer careers — typical offers cluster around $140,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% 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. AI/ML Systems Architect

What You'll Learn

• Design, develop, and deploy machine learning models for real-world applications
• Apply deep learning techniques to complex problems in computer vision, NLP, and autonomous systems
• Implement and optimize neural network architectures for large-scale data processing
• Evaluate AI systems for bias, fairness, security vulnerabilities, and ethical implications

Curriculum Highlights

The track requires core courses in Machine Learning and AI, supplemented by electives in social media data science or intelligent mobile robotics.

Top Employers

Top employers include Google, Microsoft, OpenAI, Amazon, Meta, IBM, and major financial institutions and tech corporations investing in AI and machine learning infrastructure.

Admissions

Admission to Binghamton University, State University of New York's MS in Computer Science - AI and Machine Learning generally expects a master of science (ms). 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