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. In addition to the core program, students specialize in a concentration of interest.

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/.

In addition to the application materials required by the Graduate School, applicants must submit a statement of purpose that outlines their career goals, how the M.S. in Informatics and Analytics will advance their career goals, and how their background has prepared them to enter the program.

Degree Program Requirements

Required: 30 credit hours

Course List

Code	Title	Credit Hours
Interdisciplinary Foundational Core (18 credits)
IAF 601	Introduction to Data Analytics-Methods and Approaches	3
IAF 602	Statistical Methods for Data Analytics	3
IAF 603	Preparing Data for Analytics	3
IAF 604	Machine Learning and Predictive Analytics	3
IAF 605	Data Visualization	3
IAF 606	Solving Problems with Data Analytics	3
Disciplinary Concentration (12 credits)
Select 12 credits in one of the concentrations		12
Total Credit Hours		30

Advanced Data Analytics Concentration

Course List

Code	Title	Credit Hours
Required Courses (6 credits)
IAA 621	Statistical Computing	3
IAA 622	Complex Data Analysis	3
Elective Course (3 credits)
Select one course (3 credits) from the following:		3
IAA 623	Categorical Data Analysis
IAA 624	Multivariate Analysis
IAA 625	Survey Sampling
Required Capstone (3 credits)
IAA 689	Capstone Project in Advanced Data Analytics	3
Total Credit Hours		12

Bioinformatics Concentration

Course List

Code	Title	Credit Hours
Required Courses (12 credits)
IAB 620	Introduction to Bioinformatics	3
IAB 621	Bioinformatics	3
IAB 622	Advanced Bioinformatics	3
IAB 689	Capstone Project in Bioinformatics	3
Total Credit Hours		12

Computational Analytics Concentration

Course List

Code	Title	Credit Hours
Required Courses (9 credits)
IAC 620	Algorithm Analysis and Design	3
IAC 621	Data Science	3
IAC 622	Big Data and Machine Learning	3
Required Capstone (3 credits)
IAC 689	Capstone Project in Computational Analytics	3
Total Credit Hours		12

Cultural Analytics Concentration

Course List

Code	Title	Credit Hours
Required Courses (12 credits)
IAL 620	Text Mining and Natural Language Processing	3
IAL 621	Content Analysis for Social Network Data	3
IAL 622	The Internet of Things and Wearable Analytics	3
IAL 689	Capstone Project in Cultural Analytics	3
Total Credit Hours		12

Health Informatics Concentration

Course List

Code	Title	Credit Hours
Required Courses (12 credits)
IAH 630	Fundamentals of Health Informatics	3
IAH 631	Artificial Intelligence in Health Care	3
IAL 632	Ethics and Intellectual Property for Informatics and Analytics	3
IAH 689	Capstone Project in Health Informatics	3
Total Credit Hours		12

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
IAF 601	Introduction to Data Analytics-Methods and Approaches	3
IAF 602	Statistical Methods for Data Analytics	3
IAF 603	Preparing Data for Analytics	3
IAF 604	Machine Learning and Predictive Analytics	3
IAF 605	Data Visualization	3
IAF 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.