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Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, mathematics, statistics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework.
About This Program
An online master's program that provides an engineering-focused perspective on data science with a specialized track in artificial intelligence.
Career Outcomes
Gain machine learning skills to advance as Data Scientist in Cross-Industry AI
- 1. AI Data Scientist
- 2. Machine Learning Engineer
- 3. AI Research Scientist
- 4. Data Analytics Consultant
What You'll Learn
- Design and implement machine learning models for predictive analytics
- Apply deep learning techniques to computer vision and generative AI tasks
- Analyze large-scale datasets using advanced statistical and computational methods
- Develop ethical AI solutions addressing bias and fairness in deployment
Curriculum Highlights
The program features foundation courses in data science followed by AI-focused electives and a practical graduate project.
Top Employers
Top employers include Google, Amazon, Microsoft, and Meta.
Admissions
A bachelor's degree in computer science, mathematics, statistics, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework.
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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