NY

Master's in AI
On-Campus

Binghamton University, State University of New York | MS in Computer Science - AI and Machine Learning

  • Binghamton


About This Program

A graduate-level track within the Computer Science program focused on the design and implementation of intelligent agents and autonomous systems.

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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
For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The MS in Computer Science with a specialization in AI and Machine Learning is a graduate program focused on advanced artificial intelligence techniques, machine learning algorithms, deep learning, and natural language processing, typically completed in 1-2 years.
Typical Course Topics
1. Machine Learning Algorithms and Theory 2. Deep Learning and Neural Networks 3. Natural Language Processing 4. Computer Vision 5. Reinforcement Learning 6. AI Security and Ethical AI
Program Specializations:
Machine Learning
AI Engineering / Applied AI
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
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.
Academic Requirements (Typical)

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

Application Materials (Typical)

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

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Check Application Deadlines
Career Opportunities in AI

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

Estimated Industry Salary
Machine Learning Engineer: $130,000 AI Research Scientist: $135,000 Data Scientist (AI-focused): $125,000 AI Systems Architect: $140,000
Total compensation (entry to mid-level)
AI Job Growth
36%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. AI/ML Systems Architect
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, OpenAI, Amazon, Meta, IBM, and major financial institutions and tech corporations investing in AI and machine learning infrastructure.
Explore AI Career Paths
Program Details
Duration
  • 2 Year
Tuition
$ 18,840
Format
On-Campus
Specializations
Machine Learning
AI Engineering / Applied AI
Official Resources
Program Website
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