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Enterprise Analytics, MS

Graduate Program Information

New York City Campus

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.

Graduate Program Curriculum

Foundation Courses (9 credits)

CS 658Introduction to Analytics Computing

3 credits

CS 660Mathematical Foundations of Analytics

3 credits

CS 619Data Mining

3 credits

Total Credit Hours:9

Major Courses (9 credits)

CS 662Big Data Warehousing

3 credits

CS 664Introduction to Enterprise Intelligence

3 credits

CS 666Enterprise Intelligence Development

3 credits

Total Credit Hours:9

Enterprise Technology Elective Courses (9 credits)

MAR 635Marketing Research

3 credits

MAR 643Interactive and Direct Marketing

3 credits

MAR 646Social Media and Mobile Marketing Strategies

3 credits

MAR 649Digital Marketing

3 credits

MAR 660New Product and Service Planning and Development

3 credits

MAR 664Analysis for Marketing Decisions

3 credits

MAR 673Customer Intelligence

3 credits

MBA 640Accounting for Decision Making

4 credits

MBA 642Marketing Management

3 credits

MBA 646Business Analytics for Decision Making

3 credits

MGS 632Supply-chain Management

3 credits

Total Credit Hours:9

*Students may take any relevant Pace University graduate course for which they have completed any prerequisite course and the department chair’s approval.

Enterprise Analytics Capstone Course (3 credits)

CS 668Analytics Capstone Project

3 credits

Total Credit Hours:3

Total Credits: 30

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Graduate Students

To begin the application process you may either apply online or download our application for graduate admission. Follow all steps on the Graduate Admissions website and submit your application.

Click here for more information on the application process.

Pace admits students of any race, color, and national or ethnic origin.