With the exponential growth of Big Data over the past few years, the need for Data Scientists becomes more and more pronounced and urgent.
The Data Science Institute at Saint Peter’s University is training the next generation of Data Science students offering a cutting edge academic program to meet such demands and train the next generation of data scientist. The Institute works closely with industry thought leaders to bring innovative ideas to market.
The Master of Science in Data Science with a concentration in Business Analytics. Data Science with a focus on Business Analytics is the discipline that integrates scientific methods from statistics, computer science and data-based business management to extract knowledge from data and drive decision making. The Master in Data Science curriculum provides students with a rigorous course of study in big data technologies, applications and practices a pathway for student internships and full-time employment. Graduates are prepared to meet the challenges at the intersection between big data, business analytics, and other emerging fields.
In addition to the Masters program, we offer customized certificate and training courses in the field of analytics. One semester preparatory courses are designed for graduate students and tailored for international studies.
|At A Glance|
|Degree Awarded:||Master of Science in Data Science with a Concentration in Business Analytics|
|Course Locations:||Jersey City Campus|
|Program Duration:||36 Credits: A full‐time student taking 24 credits/year should complete in 1.5 years.|
|Course Format:||Classes meet in person Monday to Friday during the day or during the evening.|
Accelerated BS to MS in Data Science Program
You can earn your undergraduate degree and a MS in Data Science in five years through our Accelerated Program.
Data Science is the discipline that integrates scientific methods from statistics, computer science and business management to extract knowledge from data to drive decision making. This program is designed for students with a background in computer science, applied science, business, or economics. For preparedness, students need to be currently enrolled in a BS program.
For more details, see the program description: Accelerated BS to MS in Data Science Program.