What you can do with a UO Data Science degree?
A mastery of big data prepares you for a next-generation career. Data scientists are essential players in nearly every industry, ranging from auto production to aerospace, healthcare and biotech, as well as investment banking, insurance, government, and even non-profit management.
When you decide to be a data scientist, you're joining a group of analytical thinkers, who inform big decisions across industries.
At the University of Oregon, we train data scientists to be wholistic researchers, capable of crossing disciplines and breaking boundaries. Our data scientists consider not only what can we do with data – but what should we do.
With a UO degree in data science, you'll have a key to a career for years to come. In fact, search “data science” on Indeed and you’ll see more than 10,000 opportunities around the country. Glassdoor, a leader in workforce analysis, estimates the starting salaries for data science jobs between $81k-149k – for entry-level jobs.
For those looking for a master’s degree or a doctorate, the UO’s training in quantitative and computational skills makes graduates particularly attractive to an advanced degree program.
Data Science Plus
The UO’s data science program has a data science + domain structure, which means you study core quantitative methods – and apply those methods to your chosen area of emphasis (or “domain”).
This gives you a strong understanding of how to extract data using quantitative methods such as math, statistics, and machine learning, and how to visually communicate those results in ways that are relevant to your chosen domain.
You'll take two to three core courses, providing insight into the basics of the domain. After completing the quantitative skills in the program, you then take four elective domain courses – providing the opportunity to apply those quantitative skills to data sets within the area.
You can choose from nine different domain areas – and we are working across the university to build more.
Accounting Analytics | Biology | Earth Sciences | Economics | Geography | Linguistics | Marketing Analytics | Music Technology | Physics | Sociology