Washington University in St. Louis

How this program compares

At an estimated $49.7K in total tuition, the Graduate Certificate in Data Mining Machine Learning sits about 353% above the $11.0K average for AI certificate programs in our database — placing it in the 99th percentile on cost among the 180 we track at this level. It runs on a full-time schedule (on-campus).

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. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 1 year.

Extract actionable insights from large datasets using data mining techniques.

Budget planners should note $49.7K estimated total tuition (99th percentile among AI certificate programs, above the $11.0K average). Applicants should weigh that premium against the program's outcomes and brand.

It is one of 17 AI-related programs we track in Missouri, of which about 76% offer an online option. On price, it comes in higher than about 82% of the Missouri programs in our data, where typical tuition runs near $24.2K.

Graduates frequently move into roles such as Data Scientist, with reported salaries around $125,000.

Career Outcomes

The Graduate Certificate in Data Mining Machine Learning at Washington University in St. Louis (Saint Louis, Missouri) is oriented toward Data Scientist hiring, with alumni reporting pay near $125,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Washington University in St. Louis's Graduate Certificate in Data Mining Machine Learning generally expects a bachelor's degree. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Frequently Asked Questions