Binghamton University, State University of New York

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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.

The MS in Computer Science - AI and Machine Learning is a Master program at Binghamton University, State University of New York in Binghamton, New York offered in a on-campus format over 2 years with a focus on Machine Learning and AI Engineering / Applied AI with an estimated total tuition of $19K. Graduates commonly pursue careers as Machine Learning Engineer, with typical salaries around $130,000. Excel as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

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+)