Data Science Certificate
Learn how to analyze data to gain insights, develop new strategies, and cultivate actionable business intelligence in areas as diverse as product design, marketing, and finance.
Key learning outcomes
- 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.
Getting started
No application is required. You simply register for graduate courses during our fall, spring, or summer registration periods.
Earning the Certificate
To meet the requirements for the certificate, you must:
- Complete 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.
Certificate Courses
The professional graduate certificate in Data Science requires four courses:
- One statistics course. You may only count one introductory statistics course (course numbered STAT E-100 through STAT E-110) and one advanced statistics course (course numbered STAT E-150 through STAT E-200).
- Two electives (choose any two courses from select group)
- One required data science course (choose one from select group; this should be taken as your third or final certificate course)
Students who started coursework in Summer 2017 or before may choose to use the new configuration (above) or may continue with the previous certificate configuration (three electives and one required course); students have three years from the date of their first course to complete the certificate.
Prior knowledge in statistics and basic programming is recommended for this certificate. If you do not have a strong background in statistics, begin with a statistics course, such as STAT E-100 Introduction to Quantitative Methods for Economics and Other Quantitative Fields.
If you do not have a background in programming, you should consider our programming certificate first or, at minimum, complete CSCI E-7 Introduction to Programming with Python. The Data Science Certificate will be difficult for students with no prior knowledge of Python.
Courses taken before the 2013–14 academic year do not apply toward this certificate.