Data Science Bachelor’s Degree at University of Advancing Technology

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TRANSFORM DATA INTO INSIGHTS

Businesses depend on software and data systems to inform their processes and to provide a competitive edge. Data-forward software developers capture streams of information and make this information useful to people and companies. University of Advancing Technology's Data Science degree provides students the skills that are needed as more aspects of our world and environments are connected and generate real-time information in ways that can be captured and used. Human behavioral patterns, IoT, weather, nature, connected city infrastructures, biological, health and organizational operations are typical of systems generating data now and into the future.

Students in UAT’s Data Science program will learn to craft code that interacts with data and present it in a way that creates understanding and value to organizations, communities and individuals. They will work with large data sets that often are being created in real-time.

Graduates will be capable of working with dynamic data, understanding how to identify and focus on key elements of data, be able to draw conclusions from it and present discovered information to others in ways that are easily used and able to draw conclusions from.

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DEGREE FEATURES

UAT’s Data Science degree will help you enhance how data is used and analyze the future of data.

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DATA SCIENCE DEGREE OBJECTIVES

Develop data science applications that utilize descriptive and real-time data from sources such as human behavioral patterns, IoT, weather, nature, connected city infrastructures, biological, health and organizational operations.
Visualize data science processes, operations and inputs.
Provide analysis of large and real-time data from multiple sources.

Demonstrate software development skills using more than one programming language and development environment.
Design and implement software solutions across multiple platforms.
Within software solutions describe, implement and analyze data structure techniques such as lists, trees, hash tables, graphs and searching algorithms.

Synchronic Learning: superior graduates, mentored education, flexible Syncflex learning.

WHY UAT?

UAT’s Synchronic Learning model provides an education framework that prepares superior graduates to become tomorrow’s innovators. This model embodies UAT’s methodologies, curricula and community dedicated to fostering an environment of innovation that promotes demonstrated mastery and job readiness.

How does UAT prepare superior graduates? Students are required to participate in projects that solve real problems. UAT requires students to innovate and create a working proof of concept that’s never been done before. Students complete internships, community projects and apprenticeship experiences to cultivate their ability to succeed in the workplace.

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