Data Analytics, MSDA

Master of Science in Data Analytics Overview

The well-publicized proliferation of data across all sectors of the global economy has fueled demand for professionals with deep skills in accessing and analyzing data and communicating the resulting information to drive data driven decision-making. The Master’s of Science in Data Analytics (MSDA) is a STEM credential enabling our students to access this large, growing, and financially rewarding career.  It is clear that the emergence of data infused computer applications, internet-based financial and consumer transactions, the need for increased out-come analysis and attention to industry and consumer trends that careers in data analytics are here to stay. It is hard to identify a sector of our society that is not being touched by big data.

Master of Science in Data Analytics Requirements

The Master’s of Science in Data Analytics, MSDA, has a curriculum map of 10 (1 unit) courses.  Nine (9) courses are required and 1 course may be taken from numerous options. Incoming students with a strong math or programming background (i.e., candidates holding a B.S. in Computer Science) may waive up to two of the required courses and replace them with two other course options. Required courses follow:

• MSDA 3045 - Mathematical Statistics 
• MSDA 3055 - Linear Regression and Time Series 
• MSIT 3090 - Python Programming 
• MSIT 3860 - Data Management for Information Technology 
• MSDA 3040 - Data Warehouse and SQL 
• MSIT 3350 - Data Mining With Splunk 
• MSDA 3050 - Applied Machine Learning 
• MSDA 3060 - Data Visualization and Story Telling 
• MSDA 3999 - Capstone Practicum 

Optional Courses:

• MSPC 3900 - Research and Marketing Analytics   
• MSDA 3070 - IoT: Securing Communication Technologies through Data Analysis  
• MSIT 3141 - Health Data and Record Systems   
• MPA 3110 - Applied GIS For Decision Makers   
• MSIT 3450 - Health Informatics    
• MSDA 3940 - Internship  
• MSDA 3950 - Independent Study   To be approved by advisor (Sentiment analysis, AI, text recognition, etc…)