Skip to main content

Recent Updates Fordham offices remain staffed and operating remotely. The University has released its plan, Fordham Forward, to resume in-person teaching and learning for the Fall semester. Full Details

Master of Science in Data Science

Harness the Power of Big Data and Launch your Career

CIS - Student standing by the white board

Every second of every day, more than 1.5 megabytes of data are created for every person on earth. 

As private and public sector organizations grapple with the challenges of extracting, analyzing, and interpreting big data effectively, powerful and innovative technologies are shaping the future of cloud computing and data science.

Fordham’s M.S. in Data Science (MSDS) is a STEM-designated program that promotes innovative thinking through its interdisciplinary curriculum, provides advanced theoretical and technical skills to build computational models, and encourages students to engage in state-of-the-art research with internationally recognized faculty.

Together with Fordham's small classroom size, flexible evening classes, and unparalleled New York City location, our program will prepare you to become a data scientist and launch your career in this exciting new discipline.

Program Highlights

Taught by top-notch faculty, our interdisciplinary curriculum consists of 10 courses (30 credits):

  • 5 core courses
  • 4 elective courses
  • 1 capstone project course (thesis optional; replaces capstone)

Our cutting-edge program features fundamental concepts and state-of-the-art learning across the discipline in all of the following areas:

  • Machine/deep Learning
  • Big data
  • Bioinformatics
  • Computer vision
  • Neuroscience
  • Natural language processing
  • Cybersecurity
  • Computational social science
  • Computational finance

MSDS students are equipped with advanced technical knowledge, leadership skills, and practical training, as well as access to wide-ranging internship, networking, and research opportunities in and around New York City.

As a student in our program, you can choose from eight thematic specialization clusters, including:

  • Behavioral informatics
  • Bioinformatics and health informatics
  • Computer and data science informatics 
  • Election and government informatics
  • Financial informatics
  • Media informatics
  • Urban informatics

Ideal applicants will possess a basic programming knowledge and familiarity with Python programming (this knowledge can be acquired via completion of CISC 5380 Programming with Python).

Full-time MSDS students can complete the degree in one to two years. Part-time study is also available.

Evening and weekend courses are offered to accommodate working professionals.

Launch Your Career

According to the U.S. Bureau of Labor Statistics, career opportunities in data science have grown by 650% since 2012. The sector is forecasted to create an estimated 11.5 million jobs within the next decade. Possible professional placements include:

  • Data scientist
  • Data engineer
  • Chief information Officer
  • Big data engineer
  • Data architect
  • Information technology specialist
  • Statistician
  • Business intelligence analyst
  • Data analyst
  • Data analytics manager

STEM Designation

The M.S. in Data Science is a registered STEM-designated program, which permits a 24-month extension of post-completion Optional Practical Training (OPT), for a total eligibility of up to 36 months. Please consult Fordham’s STEM Extension page for more information.


"I interned at Google during my time as a student. Shortly after graduation, I received offers from a variety of industries, ranging from politics to healthcare. Given the medical domain of my thesis, I went with Health First and came onboard as a Data Scientist." - Matias B., Data Scientist at Health First

50 Best Jobs in America
According to the Glassdoor ®, four out of the top ten jobs in America are in Data Science.

Prerequisites

Please consult the admissions information/requirements page.

Courses

Please consult the courses page.

Tuition Rate for Professional Master's Programs

Please visit the GSAS Tuition and Fees page to view the tuition rate for the Computer and Information Science programs.

FAQ

  1. What are the deadlines for Fall and Spring Admissions?
  1. What's available for graduate housing?
  1. Are GRE's required for this program?
  • Official GRE scores ARE REQUIRED (not simply "recommended") if an applicant wishes to be considered for GSAS merit-based financial aid. GREs for this program are otherwise recommended..
  1. Are conditional acceptances offered if prerequisites are required?
  • There are no conditional acceptances, only changes to degree requirements, such as added coursework taken while students are in the program or obtaining a satisfactory grade on a placement test, in order to meet pre-requisite requirements.