Georgia Institute of Technology

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, mathematics, or a related field with a strong GPA (typically 3.0+) and proficiency in programming and mathematics is required. GRE is optional, and relevant coursework or experience strengthens applications.

About This Program

This program offers an online pathway to master the mathematical and computational foundations of modern machine learning.

Career Outcomes

Lead as Machine Learning Engineer in Cross-Industry AI with natural language processing (nlp) expertise

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. NLP Specialist

What You'll Learn

• Implement supervised, unsupervised, and reinforcement learning algorithms.
• Design and train deep neural networks for complex data.
• Apply Bayesian methods and probabilistic models to uncertain data.
• Build natural language processing systems for text analysis.

Curriculum Highlights

The 30-hour curriculum requires core algorithms and machine learning courses, with room for electives in big data and analytics.

Top Employers

Top employers include Google, Amazon, Microsoft, Meta, and AI research labs at companies like OpenAI and DeepMind.

Admissions

A bachelor's degree in computer science, mathematics, or a related field with a strong GPA (typically 3.0+) and proficiency in programming and mathematics is required. GRE is optional, and relevant coursework or experience strengthens applications.

Application Materials

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

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)