The Department of Mathematical Sciences at Central Connecticut State University (CCSU) offers an online Master of Science in Data Mining degree that focuses on the practical application of analytics tools and technologies. The program covers core topics in the field of Data Mining and Analytics, including advanced statistical modeling, multivariate analysis, and software applications for the collection and interpretation of large datasets. Students must complete 33 credits of coursework to graduate, including a master’s thesis project. The thesis requires students to give an on-campus talk, which is usually scheduled for the final semester of study. The program is designed to be completed in 20-36 months of part-time enrollment.
CCSU’s online MS in Data Mining utilizes asynchronous instruction, which means the school delivers videotaped lectures on-demand through a virtual classroom platform. Additional course materials and multimedia assets are also available to students online 24/7. Students can communicate with professors and interact with classmates through online discussion boards, and assignments are submitted using the online learning platform.
The Data Mining curriculum at CCSU is geared toward proficiencies in database systems, data mining software, and the Cross-Industry Standard Process for Data Mining. In addition to an Introduction to Data Mining course, students are required to complete five core courses in the subject area, including Multivariate Analysis for Data Mining; Clustering and Affinity Analysis; Predictive Analytics; Data Mining for Genomics and Proteomics; and Text Mining. This accounts for 24 of the 33 credits necessary for graduation. The master’s thesis project counts toward three credits, and students accrue the remaining six credits through two electives. These include classes in Machine Learning, Web Mining, Nonparametric Statistics, and Applied Categorical Data Analysis.
Central Connecticut State University is accredited by the New England Association of Schools and Colleges.