Be a data-driven analytics expert
We’ll connect you with an advisor to help explore your academic and professional opportunities with the MS in Enterprise Analytics.
Pace University’s MS in Enterprise Analytics combines computer science, statistics, data warehousing, database design, and data mining into a program that includes advanced analytics skills, a foundation in data science technology architectures, database programming, and algorithmic thinking to source data, build queries, develop reports, and build enterprise applications that extract maximum value and recognize patterns or anomalies in Big Data sets.
This program is STEM designated, which means you will be trained in areas of technology that are in high demand with United States employers.
Lead the way in a growing field
According to the US Bureau of Labor Statistics projections: In the next ten years, the demand for computer and information analysts will grow by 26.5%, 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.
Featured companies
Students have access through coursework, internships and recruitment to Seidenberg’s extensive partnership and alumni network at leading companies including:
- IBM
- Environmental Protection Agency
- Microsoft
- PwC
- Citibank
- US Department of Justice
- Morgan Stanley
- SpaceX
- NBCUniversal
- Mastercard
Pace's faculty are dedicated to providing you with a high tech, high touch education, meaning you will undertake hands-on projects that give you real skills and experience to share with future employers.
– Dr. Jonathan Hill, Dean of the Seidenberg School of Computer Science and Information Systems