Skip to content
Student presents a poster of research.
Data Analytics
  • Student to faculty ratio: 12:1
  • Typical class size: 20-25
  • Fisher family:1

Data Analytics

The minor in data analytics is an interdisciplinary program of study that incorporates statistics, computing and programming, data skills, and a problem-solving approach to data analysis.

The coursework in this program will equip you with a set of statistical and methodological tools for drawing insights from real data and applying those insights to make decisions in a field of your interest.

Program Overview

As a data analytics minor, you will take four courses that instill the basic competencies expected of data scientists, including how to clean and explore data, work with databases, and build predictive models.

You will take two disciplinary electives from your own major discipline, which will link the data science minor with your major field and provide the disciplinary element needed for doing data science. In addition, you will conduct a data analytics project in which you will find and analyze data guided by disciplinary questions of interest, thus providing you with a mini-capstone experience.

Life After Fisher

As a data analytics minor, you will be encouraged to keep a portfolio for documenting your data science skills to prospective employers in your field. The skills you will graduate with after going through the data science coursework will pay in any career you choose.