Virginia Polytechnic Institute and State University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in a STEM field such as computer science, engineering, or mathematics is required, along with a minimum GPA of 3.0 and relevant programming or quantitative background.

About This Program

This graduate certificate prepares students to understand the underlying technical fundamentals of data analytics, enabling them to develop new methods and engineer advanced analytical tools.

Career Outcomes

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

• 1. AI Engineer
• 2. Machine Learning Specialist
• 3. Data Scientist
• 4. AI Ethics Consultant

What You'll Learn

• Develop and evaluate machine learning models for predictive analytics.
• Implement deep learning architectures for complex data processing.
• Apply natural language processing techniques to text analysis tasks.
• Design ethical AI systems addressing bias and governance issues.

Curriculum Highlights

Focuses on core courses in data analytics, information visualization, and machine learning, with elective options in Bayesian statistics and high-performance computing.

Top Employers

Top employers include tech giants like Google, Microsoft, Amazon, and government agencies with AI initiatives.

Admissions

A bachelor's degree in a STEM field such as computer science, engineering, or mathematics is required, along with a minimum GPA of 3.0 and relevant programming or quantitative background.

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+)