Data Analytics - M.S.
The Data Analytics Master of Science degree program is designed to provide students with in-depth knowledge for applying statistical methods and tools to solve real-world problems using data. The program includes core courses in statistical topics as well as advanced applications of data analytics. Students delve into the areas of data mining, analytics, management and visualization, forecasting, modeling, and optimization and simulation which provide skills necessary to fill the current analytics gap and prepare students for both the technical and business challenges posed by big data.
Upon completion of the program, graduates are expected to:
- Integrate the knowledge of mathematics, statistics and computer science to collect, analyze and interpret data.
- Use big data to understand market trends, drive business decisions to remain competitive, and optimize performance.
- Evaluate machine learning methods and strategies for advanced data mining.
- Apply research concepts to support advanced topics in data analytics.
Master of Science (M.S.)
|DATA5300||Big Data Analytics||3|
|DATA5350||Text & Web Mining Analytics||3|
|DATA5500||Time Series Analysis||3|
|DATA5700||Data Analytics Capstone||3|
|ISA5085||Principles of Programming||3|
|RSCH5700||Research and Inquiry||3|