University of Colorado Boulder

Statistical Inference for Estimation in Data Science

Boulder, United States

The Non-degree in Statistical Inference for Estimation in Data Science at University of Colorado Boulder is a program for international students taught in English.

Introduction

The University of Colorado Boulder, founded in 1876 and set against the Rocky Mountains, is a major research university serving more than 37,000 students with nearly 3,000 international learners. CU Boulder is recognized for academic excellence, expansive research programs and a sustainability-driven campus culture. Students benefit from an array of undergraduate, graduate and professional offerings that encourage innovation across science, engineering, business, arts and humanities.

Research, entrepreneurship and experiential learning are central to the CU Boulder experience, with extensive laboratory facilities, innovation labs and co-op or internship pathways that connect students to industry and civic partners. The university supports cross-disciplinary projects and provides robust advising, career services and student organizations that help translate academic interests into practical outcomes and start-up ventures.

Boulder's outdoor lifestyle and proximity to tech hubs create strong opportunities for networking, recreation and balanced living. International students are supported by dedicated offices for admissions, orientation and visa guidance, making the transition smoother. With a large program portfolio and a campus culture that values sustainability, creativity and collaboration, CU Boulder is well suited to students seeking high-impact research experiences and an active campus community.

About the Program

This non-degree program is for students who want to learn about statistical inference in data science. It's taught in English and lasts several weeks. The main advantage is that you'll gain skills in statistical inference, sampling distributions, and confidence intervals.

The curriculum covers topics like method of moments estimation, maximum likelihood estimation, and constructing confidence intervals. You'll learn how to define and construct good estimators and apply these skills to real-world problems. The course is part of the Master of Science in Data Science degree offered on the Coursera platform.

After completing this program, you can pursue careers like Data Analyst, Biostatistician, or Quantitative Researcher. You can work in industries like finance, healthcare, or technology. Employers may include research institutions, pharmaceutical companies, or tech firms. Your skills in statistical inference will help you make informed decisions and drive business outcomes.

Similar Programs You Can Apply To

Direct application via Global Admissions is not available for this program. Browse similar partner programs below or visit the university's site to apply directly.

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