Graduate Certificate in Analytics and Modeling at Northwestern University

Programme overview

The ability to harness data for actionable insight is increasingly essential for nearly every sector of the economy. We are awash in data, yet companies and organizations don’t always know how best to leverage their data to meet strategic goals, improve outcomes, or simply gain deeper understanding of their operations. This stackable graduate certificate in analytics and modeling focuses on foundational skills and knowledge for those working in or hoping to work in data science and analytics in any industry.

Faculty: School of Professional Studies | Duration: 4 courses | Study mode: part-time | Intake: Fall, winter, spring and summer quarters | Location: Evanston, IL, United States

What you will study

Students are required to complete the following four courses to earn the certificate: MSDS 400 Math for Modelers MSDS 401 Applied Statistics with R MSDS 410 Data Modeling for Supervised Learning MSDS 411 Data Modeling for Unsupervised Learning

Official programme page

Application information

Entry requirements

Applicants hold a U.S. bachelor's degree from a regionally accredited institution or foreign equivalent. Application: online application, 300-550 word statement of purpose, resume, one letter of recommendation, official transcripts; some certificates also require a writing sample. Applications are accepted each quarter (deadlines July 15, October 15, January 15, April 15).

Intake: Fall, winter, spring and summer quarters

Duration: 4 courses

Apply through the official page: https://sps.northwestern.edu/graduate-certificates/admission.html

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