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Program Overview

Data Science and Analytics

Data Science and Analytics Certificate Program

The Data Science and Analytics certificate will give designers the tools they need to communicate complex data accurately and effectively. The courses in this certificate will enable students to work with data analysts within their organizations to translate data into images and stories that executives and customers can understand. Applicants must possess a graduate degree in order to be considered for this program.

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About the Data Science and Analytics Certificate Program

Data Science and Analytics Course Schedule

The Data Science and Analytics Course Schedule page provides you with detailed information on the program's offerings.

Data Science and Analytics Faculty

You can find a full listing of our instructors in this certificate program on the Data Science and Analytics Faculty page.

Admission for the Data Science and Analytics Certificate Program

Applicants to this certificate program must hold a graduate degree from an accredited U.S. college, university or its foreign equivalent. Three to five years of professional experience in the related field is recommended but not required.

A list of admission requirements can be found on our Data Science and Analytics Admission page.

Data Science and Analytics Tuition

Tuition costs can vary for each of our programs. For the most up-to-date information on financial obligations, please visit our Data Science and Analytics Tuition page.

Data Science and Analytics Registration Information

Our Data Science and Analytics Registration Information page outlines important dates and deadlines as well as the process for adding and dropping courses.


Find out more about Northwestern's Data Science and Analytics Certificate Program

Data Science and Analytics Required Courses

To earn a certificate, students must complete the following four courses. In some cases, students who have completed equivalent coursework previously may be allowed to replace the required course with another course in the field.

Please note that courses completed in the certificate program cannot be transferred to the corresponding graduate degree.

This certificate program can only be completed online.

Core Courses:Course Detail
Data Management Principles <> MS_IDS 409-DL

Database systems are at the core of modern information systems. In this course, students will explore the principles of data management and data extraction. Database design, modeling, and implementation concepts will be reviewed and discussed. Students will learn how the different forms of data such as structured data in SQL databases, and unstructured data in NoSQL database systems are stored and accessed. Students will also learn how to query a database and extract useful information to support the decision making process for information design and strategy. The course has hands-on modules that provide the students with SQL and NoSQL programming skills in order to extract and process data from a database engine and present the information in forms suitable for end-users.


View MS_IDS 409-DL Sections
Courses:Course Detail
Intro to Data and Analytics <> MS_IDS 452-DL

This course will introduce students to the appropriate uses of analytics and its limitations and define how to approach the various stakeholders within an organization with analytic information. Included will be a review of the ethical, regulatory, and compliance issues related to a given business problem and/or solution. Time will be spent interpreting performance-based organizational issues while concurrently identifying solutions for these same performance-based organizational issues. In addition, time will be spent identifying best practices to plan for engaging, implementing, and sustaining organizational change.

Prerequisites: Students should have a basic understanding of Microsoft Excel.


View MS_IDS 452-DL Sections
Techniques of Analytics <> MS_IDS 453-DL

Students learn to apply statistical techniques to the processing and interpretation of data from various industries and disciplines. This course introduces statistical models as they are used in predictive analytics. It addresses issues of statistical model specification and model selection, as well as best practices in developing models for management.


View MS_IDS 453-DL Sections
Data and Text Visualization MS_IDS 455-DL

This course entails learning by doing—working with data and text, utilizing models of text and data, working within an open-source programming environment, and building interactive visualizations for the web. It reviews the psychology of human perception and cognition and best practices in visualization and web design. Assignments involve reviewing and developing interactive visualizations of text, time series, networks, and maps. This is a project-based course with individual and team assignments.


View MS_IDS 455-DL Sections
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