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. This program's 45 or 18 quarter credits are equal to 30 or 12 semester credits.
Cost per credit
$538 Cost per credit is calculated using tuition per credit for the current academic year. It does not include associated fees, course materials, textbook expenses, and other expenses related to courses.
Online You can complete all courses online. Some courses may require proctored exams in your local area.
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Data Analytics – Master of Science

Master's curriculum

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 coursework 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.

Computer science core course

  • CS 519 – Program Concepts for Non-majors (4 - 12 credits)

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)

Statistics elective courses

  • ST 515 – Design and Analysis of Planned Experiments (3 credits)
  • ST 525 – Applied Survival Analysis (3 credits)
  • ST 537Data Visualization (3 credits)
  • ST 538 Modern Analytical Methods for Large and Complex Datasets (3 credits)
  • ST 539 – Survey Methods (3 credits)
  • ST 591 – Introduction to Quantitative Genomics (3 credits)
  • ST 592 – Statistical Methods for Genomic Research (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 coursework 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.


Notice: Oregon State University students may now take part in internships anywhere in the United States. Read more about Ecampus’ authorization to operate in your state.

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