Binghamton University, State University of New York

How this program compares

At an estimated $18.8K in total tuition, the MS in Computer Science - AI and Machine Learning sits roughly 56% below the $42.4K average for AI master's programs in our database — placing it in the 20th percentile on cost among the 531 we track at this level.

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.

Estimated total tuition is $18.8K, below the $42.4K average for AI master's programs in our database and in the 20th percentile on cost at this level. That makes it one of the more affordable options for students weighing return on investment.

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 $140,000.

Career Outcomes

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

• 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

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.

Application Materials

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

Academic Requirements

• Degree Required: Master of Science (MS)
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)