MS in Informatics & Analytics
We develop leaders and problem-solvers who possess the knowledge and skill to thrive in the data science industry.
Master of Science (MSIA)
With UNCG’s master of science in informatics and analytics (MSIA), you can acquire the knowledge and skills to become a leader and problem-solver in a data-driven world. The data industry is growing at a rapid pace with many opportunities in this innovative and lucrative occupation.
This interdisciplinary program can be completed either online or in-person, and students can specialize in one of five concentrations.
MSIA Concentrations
WHAT IS DATA ANALYTICS?
Data comes from many sources and it is massive in terms of volume. It is varied (images, texts, audio, video, sensor data) and it is generated at a high velocity. Data analysts call this the volume, variety, and velocity challenges of Big Data. A growing number of professionals are needed to meet the demand for expertise in analytics. These experts capture, categorize, clean, store, explore, and interpret data for industries and organizations.
ADVANCED DATA ANALYTICS
This concentration provides students with a solid foundation in applied statistical methods and applications with specialized training in handling complex big data.
HEALTH ANALYTICS
With the health informatics concentration, students learn the necessary skills and knowledge of health care data and its applications. They also receive training on artificial intelligence (AI) fundamentals and how to develop data products to solve critical problems in the health care industry.
BIOINFORMATICS
The Bioinformatics concentration is an interdisciplinary field that develops and applies computational methods to analyze large biological datasets. Large datasets created by generation sequencing technologies are explored. Students learn how to analyze and explore genome sequences, gene expression profiles, biomedical literature reports and medical images.
COMPUTATIONAL ANALYTICS
This concentration provides students with knowledge in the areas of big data and data science. Students will learn theories, algorithms and technologies towards the development of analytical systems and models for disparate, complex and small/large scale datasets.
CULTURAL ANALYTICS
Students in the Cultural Analytics concentration investigate cultural trends and the circulation of digital artifacts using text mining methods and exploratory data analysis.
