Data Analytics Certificate

Level:

Certificate

Credits required:

12 credits

Cost per credit:

$1,059

Next start date:

January 5, 2026

Drive Change with Data

Organizations make decisions every day to achieve their strategic goals. With increased competition and alternative services and products, more and more are relying on data to make decisions.

The post-baccalaureate certificate in data analytics provides ample hands-on opportunities to build and develop in-demand skills and knowledge. Broaden you knowledge of data technologies, applying analytical methods, and advanced programming. You’ll also have a chance to learn about machine learning and AI's role in data analytics. You’ll grow your confidence to present well-organized and understood data with visualization.

Regardless of your background, you are encouraged to enroll in this program. If you feel like you have less technical expertise, view our online certificate for data technologies to get more comfortable in the field. This certificate can be completed in as little as one semester and will open various opportunities in data analytics that span across many industries.

Achieve More with a Master's Degree

Further specialize your data analytic skills by stacking this certificate with another offered in the Master of Management Information Systems and completing capstone coursework. Earning your MMIS will give you a unique skillset and help you stand out in the workforce. The MMIS is available entirely online.

The First Step is a Conversation. Talk to Kelly.

Kelly Seipert

Kelly Seipert

MMIS Program Coordinator
(435) 797-5848
kelly.seipert@usu.edu

College: Jon M. Huntsman School of Business

Department: Data Analytics & Information Systems

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Data Analytics Curriculum Preview

Students learn about applied simple and multiple regression, regression models for supervised learning, correlation and collinearity, cost functions, model building, feature importance, logistic regression, and advanced methods for classification.
This course covers advanced Python programming principles and analytics applications, including object-oriented programming, sorting, data structures, cloud computing, data mining, and introductory machine learning.
This course covers applications of modern machine learning for business decision-making. Students learn about the modeling process to enable rational data-driven business decisions, using machine learning algorithms and their computational implementation in real-world settings.
This course introduces data mining and business intelligence technologies. Students utilize a clustering algorithm for customer segmentation, an association rule algorithm for cross-selling/website optimization, single and ensemble classifiers for churn prediction/fraud detection/targeted ads, and visualization tools for data and output representation.

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* Actual program costs may vary due to differential tuition or course fees.