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MS in Data Science

MS in Data Science

The Master’s in Data Science Professional Program develops professional workers for advancement in Data Science roles across all sectors of industry. It is one of the fastest growing employment sectors in the world.

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

University
Saint Peter’s University
Total Fee
$26,010
Total Hours
30 Hours
Credit Fee
$867

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