Why Study Data Management and Analysis
This program focuses on data science, especially in data collection / data interpretation, and how data is used as a basis for decision making in sciences, businesses, and governments.
The Department of Computer Science and Information Technology (CSIT) is one of the largest computer science department in the state of Tennessee. CSIT offers multiple Bachelor of Science (B.S.) degrees and multiple Master’s Degrees (M.S. / PSM) to over 600 students / majors. There are multiple areas of study (concentrations) available under multiple majors. The majority of the concentrations are offered 100% online. All concentrations are offered on-campus. On-campus students may take online classes if they wish to do so. Transfer, online, military-affiliated, second-degree, and non-traditional students are welcome.
M.S. / PSM Computer Science and Quantitative Methods: Data Management and Analysis Concentration majors go on to pursue many different paths, such as, but not limited to: Data Scientist, Data Analyst, Management Reporting, Actuarial Scientist, Web Analyst, Business Analyst, Budget Analyst, Sales Data Analyst, Credit Data Analyst etc.
The APSU Computer Science and Information Technology Department has dedicated full-time faculty members and features small class sizes. All classes are taught by professors and instructors satisfying APSU Faculty Qualifications Matrix. Many classes are conducted in modern computer labs, and all classrooms are “smart” classrooms, allowing computer-based demonstrations and lectures.
Department of Computer Science & IT faculty have decades of real-world experience and education in the computing field. All full-time professors have completed terminal degrees in computing and part-time faculty members have many years of real-world experience in different computing disciplines. Many full-time and part-time faculty act as consultants, and/or conduct regular multidisciplinary computing-related research.
What Will I Learn
- This program focuses on data science, especially in data collection / data interpretation, and how data is used as a basis for decision making in sciences, businesses, and governments.