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Admission Snapshot
Typical admitted student: A bachelor's degree in computer science, mathematics, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar languages. Relevant coursework in statistics, linear algebra, and calculus is often preferred.
About This Program
This advanced degree focuses on the software and hardware tools needed for big data, emphasizing optimization and artificial intelligence applications.
Career Outcomes
Thrive as Data Scientist in Cross-Industry AI with artificial intelligence expertise
- 1. AI/ML Engineer
- 2. Data Scientist
- 3. Optimization Specialist
- 4. Machine Learning Researcher
What You'll Learn
- Design and implement machine learning models for predictive analytics and pattern recognition.
- Apply optimization techniques to solve complex AI problems in resource-constrained environments.
- Develop scalable AI systems using distributed computing and large-scale data platforms.
- Analyze and process real-world datasets with advanced AI algorithms including deep learning and reinforcement learning.
Curriculum Highlights
The program covers analytic models, data mining techniques, applied optimization, neural networks, and a three-month team-based capstone project.
Top Employers
Top employers include tech giants like Google, Amazon, Microsoft, and Meta, as well as consulting firms and research organizations focused on AI applications.
Admissions
A bachelor's degree in computer science, mathematics, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python or similar languages. Relevant coursework in statistics, linear algebra, and calculus 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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