Enterprise Analytics, MS
Campus: NYC, Online
According to the Bureau of Labor Statistics projections: In the next ten years, the demand for computer and information analysts will grow by 26.5%, and the demand for Market Research Analysts will grow by 31.6%, and the demand for Management Analysts will grow by 18.6%.
Analytics is decision-making based on data, analysis, and systematic reasoning. While applied statistics is its mathematical foundation, the current industry’s focus on effective server-based decision-making based on real-time Big Data and unstructured data allows computer science and technologies to play the central role in applying modern analytics to all industries. This program aims at producing quality analytics and data science professionals who master the modern enterprise analytics technologies and are ready to apply them in all aspects of business operation.
|CS 658||Introduction to Analytics Computing||3|
|CS 660||Mathematical Foundations of Analytics||3|
|CS 619||Data Mining||3|
|CS 662||Big Data Warehousing||3|
|CS 664||Introduction to Enterprise Intelligence||3|
|CS 666||Enterprise Intelligence Development||3|
|Enterprise Technology Elective Courses|
|Select nine credits of the following: 1||9|
|Interactive and Direct Marketing|
|Social Media and Mobile Marketing Strategies|
|New Product and Service Planning and Development|
|Accounting for Decision Making|
|Business Analytics for Decision Making|
|Enterprise Analytics Capstone Course|
|CS 668||Analytics Capstone Project||3|
Students may take any relevant Pace University graduate course for which they have completed any prerequisite course and the department chair’s approval.