Program Overview

The exponential growth of big data in recent years has led to an increasing need for highly qualified data scientists. The Data Science Institute at Saint Peter’s University is training the next generation of data scientists to meet this demand with its innovative Master of Science in Data Science program.

This cutting-edge program will equip you with the sought-after skills and knowledge necessary to become a data-driven leader in an ever-changing digital landscape. Our master of data science blends scientific methods from statistics, computer science and data-based business management to effectively extract knowledge from data and drive decision-making.

Our rigorous data science courses cover a wide range of topics, including big data technologies, applications and industry practices. You’ll gain practical experience through hands-on learning in the fundamentals of data science—including statistics and machine learning, as well as data analysis, management, mining and visualization. Taught by experienced faculty with extensive industry knowledge, our Master of Science in Data Science will position you for a wide range of career opportunities.

Additionally, our data science program opens doors to internships that offer real-world experience, as well as opportunities for full-time employment as a data scientist. As a Saint Peter’s data science graduate, you’ll be well-prepared to tackle the complex challenges at the intersection of big data, business analytics and other emerging fields.

Learning Objectives

• Apply quantitative modeling and data analysis techniques to the solution of real world business problems, communicate findings, and effectively present results using data visualization techniques.
• Recognize and analyze ethical issues in business related to intellectual property, data security, integrity, and privacy.
• Apply ethical practices in everyday business activities and make well-reasoned ethical business and data management decisions.
• Demonstrate knowledge of statistical data analysis techniques utilized in business decision making.
• Apply principles of Data Science to the analysis of business problems.
• Use data mining software to solve real-world problems.
• Employ cutting edge tools and technologies to analyze Big Data.
• Apply algorithms to build machine intelligence.
• Demonstrate use of team work, leadership skills, decision making and organization theory.