Informatics and Analytics, M.S.
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
| 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
| 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 | |
| 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
| 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
| 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
| 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
| 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
Undergraduate students at UNC Greensboro may apply for admission to the Accelerated Master's Program (AMP) and the M.S. in Informatics and Analytics if they have a cumulative undergraduate GPA of at least 3.5 in a related major and are in their junior year. Transfer students may apply if their cumulative GPA from their previous institution was at least a 3.0, or if they have earned a 3.0 (with a 3.5 in courses related to the major) at UNCG during their first semester.
All applicants must complete the Accelerated Master's Program information when applying for the M.S. in Informatics and Analytics. Applicants must provide three letters of recommendation, a resume, and a statement of purpose. It is strongly encouraged that those wishing to enter the program 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:
| 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.