GA

Master's in ML
Online

Georgia Institute of Technology

Online MS in Computer Science – Interactive Intelligence

  • Atlanta
About This Program

This unique specialization focuses on the computational foundations for designing systems where the human is a central component.

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What You'll Learn

Students explore human-computer interaction, cognitive science, and the development of adaptive interfaces and educational technologies.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum emphasizes artificial intelligence methods, cognition studies, and interactive design, with electives in health informatics and ethics.
Typical Course Topics
1. Machine Learning 2. Reinforcement Learning 3. Human-Computer Interaction 4. Computational Perception 5. Deep Learning 6. AI for Interactive Systems
Program Specializations:
Natural Language Processing (NLP)
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor's degree in computer science, engineering, or a related field with strong programming and mathematics background is required, along with a minimum GPA of 3.0.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 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

Advance as Software Developer in Cross-Industry AI with natural language processing (nlp) expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI/ML Engineer: $140,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. AI Research Scientist 2. Machine Learning Engineer 3. Human-Computer Interaction Specialist 4. Interactive Systems Developer
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, and Meta, along with research labs and tech startups focused on AI and interactive technologies.
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Program Details
Duration
  • 1.5 Year
Tuition
  • 6,750
Format
Online
Specializations
Natural Language Processing (NLP)
Machine Learning
Official Resources
Program Website
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