Department website: https://www.atu.edu/cis

Data science is a rapidly growing field that centers on the extraction, analysis, and interpretation of data to drive informed decision-making. This graduate certificate equips students with a foundation in statistics, programming, and data analysis, along with hands-on experience in data management, visualization, and machine learning techniques. Through applied projects and real-world datasets, students develop the skills needed to transform data into actionable insights and effectively communicate results to diverse audiences across industries.

Course List

Code	Title	Hours
Required Courses
INFT 5103	Python Programming	3
INFT 5603	Principles of Data Science	3
STAT 5113	Categorical Data Analysis	3
Elective Courses:
Select nine (9) hours of the following:		9
INFT 5113	Artificial Intelligence
INFT 6103	Advanced Python Programming
INFT 6603	Advanced Data Science and Machine Learning
INFT 6903	Emerging Trends 1
Total Hours		18

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INFT 6903 Emerging Trends courses may be repeated for credit if the topic is different.

Students who complete the program will be able to:

1. Use and apply current technical concepts and practices in the core of information technologies.
2. Analyze, identify and define the requirements which must be satisfied to address problems or opportunities faced by organizations or individuals.
3. Demonstrate an understanding of best practices and standards and their application.

For program assessment visit: https://www.atu.edu/assessment/program_assessment.php