Graduate Data Science

Sylvain Jaume, Ph.D., Director, Data Science Program

Master of Science in Data Science with a concentration in Business Analytics

The Master of Science in Data Science with a concentration in Business Analytics, a 36 credit degree program, is intended for students who have completed and undergraduate degrees in science, mathematics, computer science or engineering and are interested in pursuing careers in industry-specific analytical fields (e.g. technology, pharmaceutical, research, government, public health, entrepreneurship financial, business, etc.).

The Data Science degree program uses real-world problems and situations to prepare graduates for roles as strategic thought leaders who leverage predictive modeling to drive decision making. Students will develop in depth understanding of the key technologies in data science and business analytics: data mining, machine learning, visualization techniques, predictive modeling, and statistics.  Students will practice problem analysis and decision-making. Students will gain practical, hands-on experience with statistics programming languages and big data tools through coursework and applied research experiences.

Program Availability

The Data Science program will be offered on a semester schedule and is designed for both full-time and part-time study.

Degree Requirements

The degree requires 36 semester hour credits. A capstone course is required and will be taken the final semester of coursework.

Graduate Internship Requirement

As of January 1, 2016, completion of a graduate internship related to Data Science is required for all students except; those who have 3+ years of professional work experience; those with full-time employment during the length of the program; and those who are participating in the exchange program. The graduate internship must start in the first semester of classes. Please consult your program advisor to determine if it is possible to obtain a waiver. 


Saint Peter's University assigns an academic advisor to every candidate.

Time Limitation

Students are expected to enroll continuously until their programs are completed.  Students are required to maintain satisfactory academic progress by maintaining the required grade point average and accumulating sufficient credits within the stipulated time frame of five years.

Curriculum - Master of Science in Data Science with a concentration in Business Analytics

The Master's in Data Science program is divided into two levels as detailed below. 

Level I
DS-510Introduction to Data Science3
DS-520Data Analysis and Decision Modeling3
DS-530Big Data and Data Management3
DS-540Statistical Programming3
Level II
DS-600Data Mining3
DS-610Big Data Analytics3
DS-620Data Visualization and Business Intelligence3
DS-630Machine Learning3
DS-640Predictive Analytics and Financial Modeling3
DS-650Data Law, Ethics and Business Intelligence3
DS-660Business Analytics3
DS-670Capstone: Big Data and Business Analytics3
Total Credits36