Typical admitted student: A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python and foundational knowledge in linear algebra and calculus.

About This Program

This graduate-level certificate program focuses on the development and analysis of intelligent systems through advanced computer science coursework.

Career Outcomes

Gain machine learning skills to advance as Data Scientist in Cross-Industry AI

1. AI Engineer
2. Machine Learning Specialist
3. Intelligent Systems Developer
4. Data Scientist (AI focus)

What You'll Learn

Design and implement intelligent systems using AI algorithms and machine learning models.
Apply neural networks and deep learning techniques to real-world problems.
Develop search, optimization, and probabilistic reasoning for decision-making in intelligent agents.
Build and evaluate AI applications including reinforcement learning and predictive systems.

Curriculum Highlights

The program requires 12 credits of graduate courses, including selections from AI, robotics, visual interfaces, and advanced software engineering.

Top Employers

Top employers include tech leaders like Google, Microsoft, Amazon, and IBM, as well as research institutions and AI startups.

Admissions

A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience in Python and foundational knowledge in linear algebra and calculus.

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: Not Required
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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