Washington University in St. Louis

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 related field such as computer science, statistics, or engineering with a minimum GPA of 3.0 is required; relevant programming experience or coursework in mathematics and statistics is often preferred.

About This Program

This graduate certificate focuses on foundational and applied skills in data preparation and analysis for professionals within the McKelvey School of Engineering.

Career Outcomes

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

• 1. Data Mining Analyst
• 2. Machine Learning Specialist
• 3. Data Scientist
• 4. Predictive Analytics Engineer

What You'll Learn

• Extract actionable insights from large datasets using data mining techniques.
• Implement and evaluate machine learning models for classification and regression.
• Apply unsupervised learning methods for pattern discovery and clustering.
• Optimize predictive models for real-world applications in data analytics.

Curriculum Highlights

The curriculum includes required courses in machine learning and advanced algorithms, supplemented by electives in data mining, Bayesian methods, and computer vision.

Top Employers

Top employers include tech companies like Google, Amazon, Microsoft, and financial firms with data analytics divisions.

Admissions

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