Graduate Data Science

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

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 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, finance, 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

As of January 1, 2016, completion of an 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 can start in the first semester of classes. Please consult your program advisor to determine if it is possible to obtain a waiver. 

Advisement

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 - Take 4 courses from the following:12
Introduction to Data Science
Data Analysis and Decision Modeling
Big Data and Data Mangement
Statistical Programming
Financial Computing and Analytics
Level II - Take 8 courses from the following:24
Data Mining
Big Data Analytics
Data Visualization
Machine Learning
Predictive Analytics and Financial Modeling
Data Law, Ethics and Business Intelligence
Business Analytics
Capstone: Big Data and Business Analytics
Marketing Analytics and Operations Research
Data Science and Health
Total Credits36