Georgia Institute of Technology
MS in Computer Science – Machine Learning
How this program compares
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Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, mathematics, or a related field with strong programming skills is required, along with a minimum GPA of 3.0 and foundational knowledge in algorithms and data structures.
About This Program
This online specialization through the OMSCS program delivers advanced training in data-driven intelligence and scalable machine learning systems.
Career Outcomes
Advance as Machine Learning Engineer in Cross-Industry AI with machine learning 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 patterns.
- Apply machine learning to natural language processing and computer vision tasks.
- Evaluate and optimize ML models using probabilistic and Bayesian methods.
Curriculum Highlights
The coursework includes graduate algorithms and machine learning theory, with specialized electives in computational photography and natural language.
Top Employers
Top employers include Google, Amazon, Microsoft, Meta, and leading AI research labs.
Admissions
A bachelor's degree in computer science, mathematics, or a related field with strong programming skills is required, along with a minimum GPA of 3.0 and foundational knowledge in algorithms and data structures.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor's degree
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)
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