GA

Bachelor's in AI
On-Campus

Georgia Institute of Technology

BS in Computer Science – Intelligence Thread

  • Atlanta
About This Program

This undergraduate thread focuses on building top-to-bottom computational models of human-level intelligence and designing rational agents.

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What You'll Learn

Students acquire technical knowledge in machine learning, perception, and cognitive science to create artifacts that exhibit various levels of intelligence.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The curriculum covers reasoning with uncertainty, pattern recognition, and heuristics, with electives in game AI and natural language processing.
Typical Course Topics
1. Artificial Intelligence and Machine Learning 2. Knowledge-Based AI and Symbolic Reasoning 3. Computer Vision and Perception 4. Natural Language Processing 5. Algorithms and Data Structures 6. Human-Computer Interaction and AI Applications
Program Specializations:
Computer Vision
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
Applicants must have a high school diploma with strong performance in mathematics and science coursework. Georgia Tech requires submission of SAT or ACT scores, along with a competitive GPA (typically 3.7+ unweighted).
Academic Requirements (Typical)

• Degree Required: BS (Bachelor of Science)
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)

Application Materials (Typical)

• Statement of Purpose: Recommended
• Letters of Recommendation: 2–3 (teacher recommendations)
• Resume: Optional
• Transcripts: Official high school 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.

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Career Opportunities in AI

Begin AI Engineer career in Cross-Industry AI with computer vision focus

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
Software Engineer (AI/ML Specialization): $125,000 Machine Learning Engineer: $135,000 AI Research Scientist: $140,000 Data Scientist: $130,000
Total compensation (entry to mid-level)
AI Job Growth
21.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Computer Vision Specialist 4. Intelligent Systems Developer
Top AI Employers (Industry-Wide):
Top employers for AI and computer science graduates include Google, Microsoft, Apple, Amazon, Meta, Tesla, IBM, and major AI research organizations and tech companies.
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Program Details
Duration
  • 4 Year
Tuition
  • 42,048
Format
On-Campus
Specializations
Computer Vision
Machine Learning
Official Resources
Program Website
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