Data Science Graduate Certificate

What You'll Learn

Master key facets of data investigation, including data wrangling, cleaning, sampling, management, exploratory analysis, regression and classification, prediction, and data communication.
Implement foundational concepts of data computation, such as data structure, algorithms, parallel computing, simulation, and analysis.
Leverage your knowledge of key subject areas, such as game theory, statistical quality control, exponential smoothing, seasonally adjusted trend analysis, or data visualization.

Our Community at a Glance

Students learn the latest in data analysis, innovation, and research with hands-on learning and top-tier instructors.

Download: Data Science Graduate Certificate Fact Sheet

35

Average Age
76%

Working Full Time
22%

Students Outside the U.S.
30%

Complete in Under the Average of 3 Years

Certificate Courses

The Data Science Graduate Certificate requires four courses:

One statistics course (choose one from select group)
Two electives (choose any two courses from select group)
One core data science course (choose one from select group)

You can browse available courses by term — fall, spring, or summer — in the certificate course search within the DCE Course Search & Registration platform.

Prerequisite Experience

Prior knowledge in statistics and basic programming is recommended for this certificate. If you do not have a strong background in statistics, start with an introductory statistics course, such as STAT E-100 before beginning this certificate.

The Data Science Certificate will be difficult for students with no prior knowledge of Python. If you do not have a background in programming, you should consider first taking CSCI E-7. You may wish to consider our Programming Certificate.

Earning Your Certificate

Most of our certificates can be completed online and no formal application process is required to pursue a certificate.

To meet the requirements for the certificate, you must:

Complete the four certificate courses for graduate credit.
Earn at least a B grade in each course.
Complete the courses within three years.

Learn more about pursuing a certificate and the process of requesting your certificate.

Build a Stackable Credential Pathway

Stackable credential pathways allow you to earn multiple credentials by completing courses that meet overlapping requirements. In the short term, you can earn a micro or graduate certificate. Once completed, those courses may count toward a master’s degree.

You can:

Stack the Data Modeling and Ethics Microcertificate into the Data Science Graduate Certificate.
Stack the Data Science Graduate Certificate into a Data Science Master’s Degree.

Stackable pathways offer an efficient, cost-effective way to earn short-term credentials to help fill immediate skill gaps and acquire specialized knowledge while building a foundation for long-term success that showcases your expertise in the field.

Learn how to plan a stackable credential pathway.