Data Science, B.S.

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data science student behind computer
Shuo Niu works with a student at the computer

Why Choose data science at Clark?

  • Learn approaches and techniques that are widely applicable to quantitative analyses in almost every discipline.
  • Gain the expertise and knowledge to produce high-quality work, secure jobs at top companies or admission to leading graduate schools, and change our increasingly data-driven world.
  • Study this emerging field in a small liberal arts research university with diverse participating programs and strong interdisciplinary collaborations.
  • Benefit from a wealth of opportunities to apply your learning in a professional setting right here on campus.
  • Join an expanding network of students and alumni who will help each other succeed.

Featured Courses

machine learning with students in systems lab area looking over large computer screens
DSCI 105

Applied Machine Learning

Through lectures, labs, programming projects, and written assignments, students learn the fundamental theory of machine learning and apply it to practical problems in data science.

stochastic computing
DSCI 216

Stochastic Computing

Uncertainty appears in virtually all areas of data science and computer science. In this course, you’ll use the problem, theory, and prototype (PTP) approach to measure, describe, evaluate, and make decisions.

applied data analytics - person holding tablet on farm
POP
DSCI 105

Applied Data Analytics

An investigation into the fundamental techniques and practices of data analysis, this course focuses on applying tools and techniques to practical problems of analysis, visualization, and discovery.

Frequently Asked Questions

What skills will I learn studying data science?
  • Formulating problems
  • Designing data collection strategies
  • Processing, analyzing, and extracting information from data
  • Making sound decisions using the data collected
  • Recognizing the social and ethical issues surrounding data science
  • Understanding the code of conduct observed by data science professionals