Typical admitted student: A bachelor's degree in a related field such as computer science, mathematics, engineering, or statistics with a minimum GPA of 3.0 is required; relevant work experience or programming skills may be preferred.

About This Program

This 12-credit online or on-campus graduate certificate provides professionals with foundational and applied skills in machine learning and data analytics to extract insights from large datasets.

Career Outcomes

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

1. Data Scientist
2. AI/ML Engineer
3. Data Analyst
4. AI Research Specialist

What You'll Learn

Apply machine learning algorithms to real-world datasets for predictive modeling.
Design and implement AI systems using neural networks and deep learning frameworks.
Analyze large-scale data using statistical methods and big data tools.
Address ethical considerations in AI development and deployment.

Curriculum Highlights

The curriculum focuses on foundations of data science, statistical learning, and applying data science to business, the petroleum industry, and earth resources.

Top Employers

Top employers include tech companies like Google, Microsoft, Amazon, and IBM, as well as consulting firms and government research agencies.

Admissions

A bachelor's degree in a related field such as computer science, mathematics, engineering, or statistics with a minimum GPA of 3.0 is required; relevant work experience or programming skills may be 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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