Introducing the New Data Science Minor at Clarkson University

By Bayley Rochefort / August 26, 2025

Clarkson University is excited to announce the launch of a Data Science Minor, open to students across disciplines beginning Fall 2025.

Why Choose the Data Science Minor?

Poster titled “Data Science Minor – Clarkson University.” The poster features Clarkson’s green and gold colors with four main sections:
Top Title Bar: Large text “Data Science Minor – Clarkson University” with a tagline “Turn data into decisions — across every field.”

Left Column:

Green highlight box titled “Why Choose This Minor?” with three bullets: Career Power (Machine Learning, AI, Analytics), Flexible Pathways (Business, Engineering, Sciences, Health), and Interdisciplinary (Math, CS, Business, Health Sciences).

Gray box titled “Advisors” listing faculty advisors from Mathematics, Computer Science, Physics, Business, Engineering, and Health Sciences.

Right Column:

Gold box titled “Requirements (7 courses)” summarizing:

Math (Calculus, Linear Algebra, Statistics)

Programming (CS141, ES100/HP103, IS110, or IS237)

Data Science Core (MA/DS241, IS301, IA640 + Data Management IS314, CS460, IA510)

Professional Elective (AI, Deep Learning, Computational Learning, Data Warehousing, Bayesian Statistics, Capstone).

Light gray box placeholder for QR code with text: “QR Code — link to clarkson.edu/majors-minors/data-science-minor-0.”

Bottom Footer: Italic tagline: “From optimizing supply chains to clinical insights and scientific discovery—data skills open doors.”

Career Power: Gain in-demand skills in machine learning, AI, analytics, and data visualization.
Flexible Pathways: Tailor your coursework toward business, engineering, sciences, or health applications.
Interdisciplinary: Collaborate across mathematics, computer science, business, engineering, and health sciences.

Program Highlights

Students complete 7 courses covering:

Mathematics Foundations (calculus, linear algebra, statistics)
Programming Skills (CS141, ES100/HP103, IS110, or IS237)
Data Science Core (Intro to Data Science and Database/Management)
Professional Elective (options in AI, deep learning, computational learning, data warehousing, Bayesian statistics, or an approved project/capstone)

Faculty Advisors

Math: Dr. Guangming Yao
Computer Science: Dr. Chris Lynch
Physics: Dr. Jan Scrimgeour
Business: Dr. Boris Jukic
Engineering: Dr. Carl Hoover
Health Sciences: Dr. David Schelly

Learn More

Visit: https://www.clarkson.edu/majors-minors/data-science-minor-0