ATLANTA – Mercer University’s College of Professional Advancement is launching its online Master of Science (M.S.) in Applied Data Intelligence and Machine Learning this fall.
“As more and more organizations seek to better leverage growing amounts of data, the demand for professionals skilled in data science, artificial intelligence and machine learning will continue to rise,” said Dr. Priscilla R. Danheiser, dean of the College of Professional Advancement. “The Bureau of Labor Statistics projects employment of computer and information research scientists to grow 22% from 2020-2030, and the Technology Association of Georgia anticipates greater demand over the next five years for machine learning/artificial intelligence experts and big data modelers/architects. Our master’s degree program will prepare individuals already in these industries, as well as career changers, to step into these important and in-demand roles.”
The 30- to 36-credit-hour program provides a curriculum that includes programming, data structures and algorithms, machine learning, data modeling and computational statistics, culminating in a capstone experience.
Students may choose a concentration in artificial intelligence or data science or may design their own concentration with a faculty adviser.
The M.S. in Applied Data Intelligence and Machine Learning provides flexibility and convenience in a fully online format to fit into any schedule. With online courses, students have the same access to faculty and campus resources as students taking in-person courses.
Courses are structured in eight-week sessions, with each course meeting once per week in the evening via Zoom. Students can comfortably take one to two courses per session while maintaining work-life balance.
Students will gain knowledge and skills that are sought after in a range of academic fields and employment sectors, including cybersecurity, economics, energy, health sciences, human resources, social networks, supply chain and logistics, telecommunications, transportation and more.
Courses are designed with numerous hands-on labs and projects in a student-centered, interactive environment that provides a platform for learning by doing.
Graduates will be equipped to seek roles such as artificial intelligence researcher, artificial intelligence specialist, computer scientist, data analyst, data and analytics consultant, data architect, data modeler, data scientist, data storyteller, machine learning researcher, machine learning specialist, natural language processing (NLP) specialist, and UX specialist and designer.
“Our graduate admissions team at Mercer is excited to welcome new students into this program for the fall semester, and we invite individuals interested in learning more to attend an upcoming webinar or speak with one of our admissions professionals individually,” said Theo Anderson Jr., assistant vice president of enrollment management for the Atlanta campus and Regional Academic Centers.
For more information or to schedule a personalized admissions counseling appointment, contact the Office of Graduate Admissions at (678) 547-6417 or copa.admissions@mercer.edu.
About the College of Professional Advancement
Mercer University’s College of Professional Advancement is committed to serving post-traditional learners. Undergraduate, graduate and certificate programs are offered to adult learners seeking professional advancement into leadership roles in and beyond their communities. Programs provide students with distinctive, multidisciplinary experiences that integrate theory and practice. In addition to providing general education and elective courses for various colleges and schools at Mercer, the College of Professional Advancement offers degree programs in areas including technology, public safety, public and human services, leadership and administration, health care and liberal arts. Programs are offered on Mercer’s campuses in Atlanta and Macon, as well as Regional Academic Centers in Douglas County and Henry County, and online. To learn more, visit professionaladvancement.mercer.edu.
