Introduction
Influence better decisions with deepened understanding.
The Master of Science degree in Business Analytics was designed for working managers and professionals who seek to deepen their industry credentials, data analysis skills, and ability to leverage and monetize data in managerial processes and decision making to meet market needs.
Offered through Data Science Institute at Saint Peter’s University, the program provides a unique combination of skills and knowledge for managers. Topics include strategic management, finance, advanced data analysis, and visualization.
At a Glance
Degree Awarded: Master of Science in Business Analytics
Course Locations: Jersey City Campus, Online/Hybrid
Program Duration: 30 Credits. A full‐time student taking 30 credits/year should complete in 18 months (Part-Time: 15 credits/year in 21 months).
Calendar: Trimester (11 weeks)
Course Format: Some hybrid/online courses available.
Less Time More Reward
Build your skills and earn an advanced degree in less time with our accelerated five-year program. With this unique pathway, you will master the top business analytics skills of senior-level marketing managers and brand executives say are in high demand. Finish faster and cut down on costs by taking up to four graduate courses in your senior year, then transition to graduate studies full-time and complete your graduate degree.
Accelerated BS/BSBA to MS in Business Analytics Program
Saint Peter’s University offers an Accelerated Five-Year MS in Finance degree program for our undergraduates.
The Accelerated BS/BSBA to MS in Business Analytics program offers several advantages. The program:
Accelerates the attainment of an advanced degree
Facilitates seamless transition to a master’s degree
Increases student's marketability in the workforce
Saves students time and money
Learning Outcomes
Identify and describe complex business problems in terms of different data-driven analytical models and be able to extract value from unstructured and structured data sets.
Use critical thinking skills to interpret and convey results of business analytics projects that include quantitative and qualitative tools, into effective courses of action, considering the complex and competitive global business environment.
Select and effectively utilize appropriate analytics tools for specific managerial issues as well as tools for data visualization and effective presentation to stakeholders.
Critically evaluate issues such as data privacy and protection through the lens of ethical responsibilities, and respond accordingly.
