The Master of Science in Informatics and Analytics develops leaders and problem-solvers who possess the knowledge and skill to thrive in the data science industry.

The program includes six interdisciplinary courses that establish a strong foundation in data science principles.

The hallmark of the UNC Greensboro program is a unique capstone experience that links knowledge-with-practice and equips graduate students with key skills for professional success.

For information regarding deadlines and requirements for admission, please see https://grs.uncg.edu/programs/.

Degree Program Requirements

Required: 36 credit hours

Course List

Code	Title	Credit Hours
Interdisciplinary Foundational Core (18 credits)
IAN 601	Introduction to Data Analytics-Methods and Approaches	3
IAN 602	Statistical Methods for Data Analytics	3
IAN 603	Preparing Data for Analytics	3
IAN 604	Machine Learning and Predictive Analytics	3
IAN 605	Data Visualization	3
IAN 606	Solving Problems with Data Analytics	3
Disciplinary Courses (18 credits)
IAN 620	Text Mining and Natural Language Processing	3
IAN 621	Bioinformatics	3
IAN 622	The Internet of Things and Wearable Analytics	3
IAN 630	Fundamentals of Health Informatics	3
IAN 632	Ethics and Intellectual Property for Informatics and Analytics	3
IAN 689	Capstone Project	3
Total Credit Hours		36

Application and Admission

Qualified UNC Greensboro undergraduate students may be nominated to participate in the Accelerated Master's Program (AMP) by the Graduate Program Director. Students must have completed a minimum of 60 credit hours with at least 30 credits and a cumulative undergraduate GPA of at least 3.5 at UNC Greensboro.

It is strongly encouraged that those wishing to enter the AMP have taken an introductory statistics course and have some programming experience.

Courses

Admitted students may apply up to 12 credits from the following graduate-level courses toward completion of both the undergraduate and graduate degree, provided that they earn a grade of B (3.0) or better in the course and fulfill graduate-level requirements:

Course List

Code	Title	Credit Hours
IAN 601	Introduction to Data Analytics-Methods and Approaches	3
IAN 602	Statistical Methods for Data Analytics	3
IAN 603	Preparing Data for Analytics	3
IAN 604	Machine Learning and Predictive Analytics	3
IAN 605	Data Visualization	3
IAN 606	Solving Problems with Data Analytics	3

Please consult with an advisor to determine how the course taken at the graduate level will meet requirements in the bachelor’s degree program. All degree requirements for the M.S. in Informatics and Analytics remain the same.