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Bachelor of Science in Data Science and Analytics

Next semester starts 05/18/2026

What is a Data Science and Analytics degree?

Learn to use data to solve complex problems and make informed decisions while gaining insight into analysis techniques, statistical methods, programming languages and visualization tools while learning critical thinking and problem-solving skills.

Reduce tuition by up to $24k

Why earn a BS in Data Science and Analytics?

Earn a BS in Data Science for a rigorous foundation in probability theory, machine learning, ethics, statistical modeling, and programming. Small class sizes ensure personalized attention, aiding in mastering challenging material.

Hands-on learning

Learn topics including statistical computing, machine learning in R, Python, SQL, Java.

Supportive environment

Our faculty, staff and students create a learning environment, cultivating creativity, innovation and a sense of community.

State-of-the-art facilities

Spacious studios and collaborative workspaces provide an environment for students to experiment and refine their skills.

Industry-aligned curriculum

Our program aligns with industry trends, ensuring you graduate with the skills and knowledge you need to succeed.

Accelerated master's degree

Earn two degrees in five years through our 3+2 program, adding a Master of Public Health from St. Ambrose University.

What you’ll learn in your Data Science and Analytics program

Master the basics and begin to understand the role of databases in organizations. The curriculum integrates mathematics and computer programming to learn different mathematical theories in order to understand data structures and algorithms.

  • Understand discrete mathematics in computer science
  • Discuss the ethical issues within data analysis
  • Learn good software engineering principles and fundamental programming skills
  • Focus on searching, sorting and basics of algorithmic analysis
  • Hands-on work with Entity-Relationship diagrams, structured query language (SQL) and normalization processes

Explore Data Science and Analytics courses

  • This degree will require you to complete a total of 120 credits.
  • You will complete 45 gen ed credits, 23 core credits, 22 specialization credits, 30 elective credits, and 1 capstone

Sample Courses

Class code Class title Credits
MATH 281 Discrete Structures 3 credits
MATH 306 Ethics of Data Analysis 3 credits
CSCI 195 Programming 1 3 credits
CSCI 310 Data Structures 3 credits
CSCI 360 Data Mgmt Systems 3 credits

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Become who you are meant to be

With more than 50 undergraduate and graduate programs, there’s something for everyone at St. Ambrose University! Explore our programs to find your place at SAU.