Data Science Minor

Learn how to interpret datasets and leverage their insights for decision-making.

Lehigh’s Data Science Minor equips students with the technical expertise and analytical mindset to extract insights from data, uncover patterns, and build predictive models. Many fields collect data to uncover patterns and make informed decisions, making data science training more relevant than ever to solving real-world problems.

Key Benefits

• Broad Applicability: Data is at the heart of decision-making in nearly every industry—from healthcare and finance to technology, public policy and marketing.
• Complement Your Studies: Designed for students across disciplines, this minor provides hands-on experience with programming, data visualization, and machine learning techniques. Whether you’re interested in business analytics, scientific research, artificial intelligence, or social data trends, a foundation in data science can complement any career path.

Coursework

To complete the minor, students will take 16 credits from the following list:

The minor is open to undergraduates from all colleges, and requires a minimum of 16 credit hours, consisting of the following:

Three required courses (10-11 credits):

CSE 160 Introduction to Data Science

CSE 017 Programming and Data Structures

CSE 109 Systems Software

MATH 312 Statistical Computing and Applications

One approved applied data mining / analytics course at the 200/300 level (3 credits):

CSE 326 Fundamentals of Machine Learning

CSE 347 Data Mining

ISE 364 Introduction to Machine Learning

ISE 367 Mining of Large Datasets

MKT 325 Consumer Insights through Data Analysis

MKT 326 Marketing Analytics and Artificial Intelligence in the Digital Space

BUAN 348 Predictive Analytics in Business

ECO 325 Consumer Insights through Data Analysis

ECO 360 Time Series Analysis

One or more approved electives related to data science including, but not limited to an additional applied data mining/analytics course from above, or the following (3-4 credits):

CSE 241 Database Systems and Applications

CSE 341 Database Systems, Algorithms, and Applications

CSE 327 Artificial Intelligence Theory and Practice

CSE 337 Reinforcement Learning

CSE 345 WWW Search Engines

CSE 375 Principles of Practice of Parallel Computing

ISE 111 Engineering Probability

ISE 121 Applied Engineering Statistics

ISE 224 Information Systems Analysis and Design

MATH 043 Survey of Linear Algebra

MATH 205 Linear Methods

MATH 242 Linear Algebra

STAT 342 Applied Linear Algebra

MATH 309 Probability with Applications and Simulations

MATH 334 Mathematical Statistics

BIS 324 Business Data Management

ECO 357 Econometrics

ECO 367 Applied Microeconometrics

Many of the courses that apply to the minor have prerequisites. These prerequisites do not count toward the minor, and students attempting to complete the minor are not recused from these prerequisites.

Computer Engineering Degree Contact

Rossin College of Engineering and Applied Sciences: engineering@lehigh.edu | (610) 758 4025