Master of Science in Analytics in Knowledge Management
Transform Big Data into powerful knowledge for your company or clients.
The knowledge-based economy and the explosive growth of Internet-related information have increased the need for the creative and effective use of knowledge. Organizations must now manage the architecture of knowledge from a variety of traditional and Internet-based resources through Data Analytics.
Analytics in Knowledge Management (AKM) is the systematic process of developing, organizing, retaining and using knowledge resources that contribute to an organization’s sustained success. To adapt to the fast-changing and competitive economy, public and private organizations have hired knowledge management professionals to enhance their ability to serve clients and realize strategic priorities.
Maryland, with its rich environment of corporations, medical enterprises, government agencies and nonprofit organizations, recognizes the role of the knowledge management professional as a critical resource capable of taking the lead in the development and implementation of strategically focused initiatives.
Notre Dame’s Master of Science program in Analytics in Knowledge Management focuses on multidisciplinary competencies in areas of knowledge management technologies, quantitative processes and economic principles of change risk management. The program prepares professionals to specialize in the creation, enhancement and use of knowledge. Seventy-five percent of graduates are directly applying their research projects to their jobs, making a measurable impact for their company and clients.
The program is 36 credits, including computer studies, math and economics. Classes are offered in a cohort model: seven-week classes, one night a week, two consecutive courses per semester.
In the Analytics in Knowledge Management program, I've learned a lot about mathematics, data analysis, statistics, and trend analysis that I've been able to apply at work. At times, no one understood why we looked at certain metrics or how those metrics came about; now, I have a deeper understanding of them.
For the Critical Inquiry class, I took a survey that we’d already done at work about electronic medical records systems. Using the statistical methods I learned in the program, I was able to better analyze what was affecting our therapists’ productivity at work — how electronic medical records were affecting productivity, and what we could do to alleviate those drops in productivity. I didn't have the statistical tools to do that before.
Peter Mares, Director of IT, PT Networks