Graduate Data Science

At A Glance
Degree Awarded:	Master of Science in Data Science
Course Locations:	Jersey City Campus
Program Duration:	36 Credits: A full‐time student taking 24 credits/year should complete in 1.5 years.
Calendar:	Graduate Trimester
Course Format:	Classes meet in person Monday to Friday during the evening. Classes are also available in a fully online format.

Master of Science in Data Science

The Master of Science in Data Science, 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

The Master’s in Data Science Program is detailed below.

Required Core Courses	Course Name	Pre-reqs	Credits
DS-510	Introduction to Data Science	None
DS-520	Data Analysis and Decision Modeling	None
DS-530	Big Data and Data Mangement	None
DS-542	Python in Data Science	DS-510, DS-520
DS-620	Data Visalization	DS-510, DS-520
DS-630	Machine Learning	DS-510, DS-520, DS 530, DS 542
DS-650	Data Law, Ethics & Bus Intel	DS-510, DS-520
DS-660	Business Analytics	DS-510, DS-520
DS-670	Capstone: Big Data and Business Analytics	DS-620, DS-630
			27
Electives – Take 3 of the following	Course Name	Pre-reqs	Credits
DS-540	Statistical Programming
DS-600	Data Mining	DS-510, DS-520
DS-605	Financial Computing and Analytics	DS-510, DS-520
DS-610	Big Data Analtics	DS-510, DS-520, DS-530
DS-621	Data Analytics with Qliksense	DS-510, DS-520
DS-640	Predictive Anal & Financ Model	DS-510, DS-520
DS-680	Mrktg Analytic & Oper Research	DS-510, DS-520
DS-690	Data Science and Health	DS-510, DS-520
			9
Total Credits			36

Data Science Graduate Internship

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 an exchange program. The graduate internship can start in the first semester of classes. Please consult your program adviser to determine if it is possible to obtain a waiver.