Columbia University in the City of New York
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, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, probability, and calculus.
About This Program
This specialized master's track allows students to broaden and deepen their understanding of machine learning and its diverse applications.
Career Outcomes
Excel 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 models for real-world data problems.
- Design and train deep neural networks for tasks like computer vision and natural language processing.
- Apply probabilistic methods and optimization techniques to machine learning algorithms.
- Evaluate and deploy scalable machine learning systems with ethical considerations.
Curriculum Highlights
The 30-credit curriculum features core computer science foundations and technical electives in bioinformatics, computer vision, and reinforcement learning.
Top Employers
Top employers include Google, Amazon, Meta, Microsoft, and leading AI research labs.
Admissions
A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and coursework in linear algebra, probability, and calculus.
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: Optional
- TOEFL/IELTS: Required for international students (TOEFL 100+ / IELTS 7.0+)
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