Data Science - Statistical Learning
Certificate
Delivery Options
Fall 2026 Deadline
Fall I & II (August 19 start): August 1st
Program Overview
Modern data-driven work demands deep understanding of statistical models and how they perform in real-world settings. The Data Science – Statistical Learning graduate certificate at Colorado School of Mines is designed for those who want to build strong analytical skills grounded in statistical learning rather than purely algorithmic approaches.
The curriculum develops essential expertise in the statistical methods most commonly used in data science, along with a clear understanding of their strengths, limitations and appropriate use. You'll gain new skills in computer science while remaining firmly rooted in statistical modeling, ensuring you can evaluate uncertainty, interpret results responsibly and select methods that fit the problem at hand.
Coursework spans a broad range of scientific and engineering applications, making the certificate relevant across industries. Emphasis is placed on clarity, reproducibility and practical problem-solving so techniques are learned as applied tools rather than abstract theory.
Whether you are advancing in your current role, preparing for more technical analytics responsibilities or considering further graduate study, this graduate certificate provides focused, durable expertise in statistical learning.
Program Detail
The Data Science – Statistical Learning graduate certificate offers a focused curriculum centered on statistical modeling and learning methods. You’ll develop an essential skill set in statistical methods most commonly used in data science along with the understanding of the methods' strengths and weaknesses. Coursework emphasizes interpretation, validation and communication so results can be trusted and used.
This is a program that combines online coursework with on-campus learning experiences, supporting working professionals while still providing opportunities for collaboration and applied learning. Research is not required for this certificate, though many courses include applied projects using real datasets.
The program is geared toward professionals with a bachelor’s degree in data science, engineering, science or a related field who want deeper statistical training. It also serves those considering further graduate study in analytics or data science.
Faculty Expertise
Meet three faculty leaders renowned specialists in machine learning, statistical modeling and computational algorithms who provide the expertise you need to apply advanced analytics to complex industry challenges.
Soutir Bandyopadhyay
Professor
Dorit Hammerling
Associate Professor
Zibo Wang
Teaching Assistant Prof
Application Requirements
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Bachelor's degree
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GRE: Not Required
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Letters of Recommendations (2 letters).
Letters are not required for current Mines students. -
Resume or Curriculum Vitae (CV)
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Statement of Purpose
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Transcripts
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International students please review the English proficiency requirements
Program Curriculum
View Academic CatalogFrequently Asked Questions
What is the value of a Data Science – Statistical Learning graduate certificate?
This certificate helps you develop rigorous, transferable analytical skills. You’ll gain a strong foundation in statistical learning methods, experience applying models to real datasets, and earn a graduate credential from Colorado School of Mines that reflects analytical rigor.
What trends are influencing statistical learning today?
Statistical learning is increasingly shaped by the widespread use of predictive modeling to inform real-time decision-making across industries. There is also a growing emphasis on model validation, interpretability and transparency to ensure results are reliable and ethically applied. At the same time, organizations are prioritizing the integration of statistical methods with domain expertise so models are both technically sound and contextually meaningful.
What career opportunities can this certificate support?
Graduates commonly move into roles such as:
- Data or statistical analyst
- Analytics-focused engineer or scientist
- Technical professional supporting data-driven decisions
What industries hire professionals with statistical learning skills?
These skills are in demand across:
- Engineering and technology
- Energy and natural resources
- Manufacturing and operations
- Finance and consulting
How does statistical learning support better decisions?
Statistical learning supports better decisions by identifying meaningful patterns and relationships within complex data. It quantifies uncertainty and risk, allowing decision-makers to understand the reliability and limitations of their analyses. By providing rigorous evidence to guide informed choices, this certificate helps you approach data with discipline, confidence and practical insight.
Featured Alumni
Meet Morgan Cox, MS '22
The start-ups put me to the test but the training I got from Mines has helped me rise to the challenge with confidence. See Morgan's full story and interview >