5
Classes
15
Credit Hours
$6.9K
Estimated TX Resident Tuition & Fees
Jun 2
Next Start Date

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UNT's 30-hour Master of Science in Advanced Data Analytics provides the breadth and depth of experiences to enable you to succeed in a data-driven business world. You can choose an existing specialization or work with an advisor to develop one that fits your needs.

Combining analytics foundations, data visualization, cloud computing, and machine learning & AI with real business case studies, this degree will help you apply the latest analytic techniques in your current job or help launch your career in an exciting, ever-changing field.

With our accelerated online option, you can receive a master's degree in fewer than two years. We also offer blended options at UNT at Frisco and our main campus in Denton for those in the Dallas Fort-Worth area.

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Courses

ADTA 5130 - Data Analytics I

Provides an overview of quantitative methods essential for analyzing data, with an emphasis on business and industry applications. Standard and open source statistical packages are used to apply techniques to real-world problems.

ADTA 5230 - Data Analytics II

Course extends the concepts developed in ADTA 5130 Data Analytics 1 to multivariate and unstructured data analysis. Modern techniques of multivariate analysis, including association rules, classification methods, time series, text analysis and machine learning methods are explored and implemented with real-world business and industry data. Course provides hands-on introduction to state-of-practice technology and tools. The focus of the course is on the application and interpretation of the methods discussed.

ADTA 5240 - Harvesting, Storing and Retrieving Data

Provides an introduction to collecting, storing, managing, retrieving and processing datasets. Techniques for large and small datasets are considered, as both are needed in data science applications. Emphasizes applications and includes many hands-on projects.

ADTA 5250 - Large Data Visualization

Presents strategies and methods for effective visualization and communication of large data sets. Standard and open source data visualization packages are used to develop presentations that convey findings, answer business questions, drive decisions and provide persuasive evidence supported by data.

ADTA 5340 - Discovery and Learning with Big Data

This course covers the latest methods for discovery and learning from large data sets. Topics complemented by hands-on projects using data discovery and statistical learning software.