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Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, mathematics, or a related field with strong grades in linear algebra, calculus, and programming is required. Relevant work experience or coursework in machine learning is often preferred.
About This Program
An online master's program focused on the development and deployment of production-quality machine learning systems for industrial problems.
Career Outcomes
Thrive 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.
- Apply deep learning techniques to complex datasets.
- Develop algorithms for scalable machine learning systems.
- Analyze and optimize models using statistical methods and Bayesian inference.
Curriculum Highlights
This 32-credit degree includes core courses in AI tools, deep learning, cloud computing, machine learning production systems, and a final capstone project.
Top Employers
Top employers include Google, Amazon, Microsoft, and Meta.
Admissions
A bachelor's degree in computer science, mathematics, or a related field with strong grades in linear algebra, calculus, and programming is required. Relevant work experience or coursework in machine learning is often preferred.
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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