Data AnalyticsM.S. or Graduate Certificate

Credits required
45 or 18 Oregon State University is on a quarter-term system. There are four quarters each year and classes are 11 weeks long.
Cost per credit
Online You can complete all courses online. Some courses may require proctored exams in your local area.
Start term

Curriculum: Data Analytics – Master of Science

In Oregon State University's online Master of Science in Data Analytics, you will explore real data problems that are interesting and challenging as you equip yourself with the quantitative tools needed to gather, analyze and interpret data on a massive scale.

All courses in this program were developed and are taught by full-time Oregon State faculty members, and the course work integrates OSU's strengths in statistics, computer science, mathematics, policy and applied sciences such as genomics.

M.S. in Data Analytics (45 credits)

The 45-credit Master of Science in Data Analytics program consists of six core courses in statistics (21 credits); three core courses in computer science (12 credits); and four elective courses in statistics (12 credits). There is also a graduate option in health analytics.

Statistics core courses

  • ST 516 – Foundations of Data Analytics (4 credits)
  • ST 517 – Data Analytics (4 credits)
  • ST 518 – Data Analytics II (4 credits)
  • ST 566 – Time Series Analytics (3 credits)
  • ST 558 – Multivariate Analytics (3 credits)
  • ST 595 – Capstone Project (3 credits)

Computer science core courses

  • CS 519 – Program Concepts for Non-majors (4 credits)
  • CS 513 – Tools and Programming for Big Data Management (4 credits)
  • CS 514 – Applied Machine Learning (4 credits)

Statistics elective courses

  • ST 525 – Applied Survival Analysis (3 credits)
  • ST 591 – Introduction to Quantitative Genomics (3 credits)
  • ST 592 – Statistical Methods for Genomic Research (3 credits)
  • ST 539 – Survey Methods (3 credits)
  • ST 537 – Data Visualization (3 credits)
  • ST 538 – Modern Analytical Methods for Large and Complex Datasets (3 credits)

Health analytics option

The option in health analytics consists of 12 credits. Three of the four elective courses in statistics must be ST 525, ST 591 and ST 592.


To be admitted to either of these data analytics programs, you must have successfully completed an undergraduate statistics course at the level of ST 351 or equivalent. You must also have an understanding of study design, probability distributions, and the fundamentals of confidence intervals and hypothesis tests.

The OSU Transfer Course Search tool allows you to look up previous course work in order to find out if your class has been identified as an OSU course equivalent. Ecampus Enrollment Services can also help you navigate this tool to find any information that exists for ST 351.


Request info

Related stories

Online data analytics students prepare for top job in the country

Josh Stevens, an army veteran and a mid-career IT analyst at State Farm in Bloomington, Illinois, had been searching for the right online data analytics program for well over a...

OSU’s new online programs in data analytics aim to address national shortage

With the United States facing a shortage of more than one million skilled data scientists, Oregon State will train an array of new professionals through a pair of graduate programs...

Ecampus students are out there, changing the world  

At Oregon State University Ecampus, we think the world becomes a better place when everyone, everywhere has the opportunity to earn an education and pursue their ambitions. Ecampus is your...