Master of Science in Data Science and Analytics

The Master of Science in Data Science and Analytics is open to students with a bachelor's degree who have a strong interest in pursuing a programming approach to solving problems using data. The MS is a joint effort between the Department of Mathematics and Statistics and the Department of Computer Science to create a blended curriculum providing a relevant and applicable treatment to the evolving and complex field of data science.

We believe that data science is useful for everyone, and anyone can learn the mathematics, statistical, and programming skills needed to tell a compelling story with data, whether for business operations, public policy, or environmental research. Students lacking preparation in one or more areas can take the required prerequisite courses after being admitted.

With tracks in applied analytics and machine learning, graduates will be able to seek a variety of data-centric careers such as data analyst, data or research manager, data scientist, machine learning engineer, or quantitative research analyst in an application field of their choosing.

An acceptable baccalaureate degree

GPA of at least 3.0 in the last 30 semester (45 quarter) units attempted for majors directly related to Data Science (Statistics, Data Science, Computer Science, Data Science, Business Analytics). A GPA of a 3.2 or higher is required for other majors.

English Proficiency:

TOEFL (iBT) Tests: 80

TOEFL Essentials Test: 9.0

IELTS Tests: 6.5

Pearson PTE: 59