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Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 3.0 is required, along with strong coursework in linear algebra, calculus, probability, and programming.
About This Program
This master's program focuses on the theoretical and practical aspects of machine learning within the broader field of computer science.
Career Outcomes
Position 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
- Design and implement supervised and unsupervised machine learning models.
- Develop deep neural networks for complex data patterns.
- Apply AI techniques to natural language processing and computer vision tasks.
- Optimize algorithms for scalable AI systems and real-world applications.
Curriculum Highlights
The coursework includes core computer science foundations and specialized modules in machine learning algorithms, reinforcement learning, and data science.
Top Employers
Top employers include Google, Amazon, Microsoft, and Meta.
Admissions
A bachelor's degree in computer science, mathematics, or a related field with a minimum GPA of 3.0 is required, along with strong coursework in linear algebra, calculus, probability, and programming.
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+)
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