About The Programme
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.
Course Details
Core Courses
All students are required to register for at least 6 credits per trimester. In order to remain in compliance with the program requirements students must register for one PHYW (online) course and one PHYF (3-Day Weekend) course.
- Section Trimester Type Course Name & Credits
- DS-510 Trimester 1 PHYW Introduction to Data Science (3 Credits)
- DS-520 Trimester 1 PHYF Data Analysis and Decision Modeling (3 Credits)
- DS-650 Trimester 2 PHYW Data Law, Ethics and Privacy (3 Credits)
- DS-542 Trimester 2 PHYF Python in Data Science (3 Credits)
- DS-530 Trimester 3 PHYW Data Management Systems (3 Credits)
- DS-600 Trimester 3 PHYF Data Mining (3 Credits)
- DS-610 Trimester 4 PHYW Big Data Analytics (3 Credits)
- DS-620 Trimester 4 PHYF Data Visualization (3 Credits)
- DS-640 Trimester 5 PHYW Predictive Analytics and Experimental Design (3 Credits)
- DS-630 Trimester 5 PHYF Machine Learning (3 Credits)
- DS-680 Trimester 6 PHYW Marketing Analytics and Operations Research (3 Credits)
- DS-670 Trimester 6 PHYF Capstone: Data Science (3 Credits)
TOTAL CREDITS - 30
Programme Highlights
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