Typical admitted student: A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience or prerequisites in statistics and linear algebra are often preferred.

About This Program

This professional certificate program is designed for students seeking core competencies in data science and artificial intelligence to advance their technical careers.

Career Outcomes

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

1. Data Scientist
2. Machine Learning Engineer
3. AI Specialist
4. Data Analyst

What You'll Learn

Apply data science techniques to extract insights from large datasets.
Design and implement machine learning models for predictive analytics.
Develop AI systems using supervised and unsupervised learning methods.
Analyze ethical implications and biases in AI and data-driven decisions.

Curriculum Highlights

The four-course curriculum features intensive modules in data science foundations, statistics for data science, machine learning, and big data management systems and tools.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and data-driven firms in finance, healthcare, and consulting.

Admissions

A bachelor's degree in computer science, engineering, mathematics, or a related field with a minimum GPA of 3.0 is required; relevant programming experience or prerequisites in statistics and linear algebra are 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: Not Required
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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