Master of Science in Data Science

Format: Online

The MS in Data Science (previously MS in Data Analytics) online degree program helps students earn the credentials and acquire the skills needed to enter or advance in the fast-growing field of data science. Ranked last year as one of the top Master’s in Data Science worldwide as well as one of the Best Value Online Big Data Programs, the MS in Data Science online degree program offers foundational knowledge and hands-on programming competencies, resulting in project-based work samples similar to that of a programming boot camp.

The program’s learning objectives and demanding, hands-on courses are designed around employer needs.  Throughout their time in the program, students build portfolios of increasingly complex projects using popular programming languages such as R and Python, which mirror the current experience and demands of the IT workplace. Students build predictive and prescriptive models, practice giving presentations, and review each other’s work in a convenient online setting, ensuring that they are equipped with the expertise most valued in today’s marketplace. The MS in Data Science program culminates with a capstone project that represents highly sophisticated, but practical, solutions to address real world problems.

Additionally, the program’s faculty comprise committed and engaged technology practitioners who are experts in their fields.  They invest time in building courses on the use of open source best-practice tools that satisfy high employer demands for quality programming and use of advanced techniques.

Career Prospects

The MS in Data Science program prepares graduates for a variety of technical and managerial positions, such as data scientist, business intelligence analyst, knowledge, and informatics engineer, data analyst, data mining engineer, and data warehousing manager. 

Admissions Criteria

Applicants must possess a bachelor’s degree from an accredited institution, with a GPA of 3.0 or higher on a 4.0 scale. Applicants are required to write a personal statement, upload a resume, and provide two letters of recommendation. An individual interview may be necessary.

As an interdisciplinary field, we welcome applicants from diverse professional backgrounds. However, because the MS in Data Science is a highly quantitative and technical major as compared with MBA-like programs, acceptance requires applicants to demonstrate current skills in:

  1. Statistics and probability including descriptive statistics, skewness/kurtosis, histograms, statistical error, correlation, single variable linear regression analysis, significance testing, probability distributions, and basic probability modeling;
  2. Linear algebra including basic matrix manipulation, dot and cross products, inverse matrices, eigenvalues, representing problems as matrices, and solving small systems of linear equations;
  3. Programming in a high-level language such as Python, Java, JavaScript, C++, C, Ruby, or SAS (2+ years). Applicants must be able to write working code from scratch;
  4. Relational databases including connecting to and manipulating data, working with tables, joins, basic relational algebra, and SQL queries. Two or more years of experience with Microsoft Access can be substituted if the applicant is able to perform the same operations without using Access’s graphical interface; and,
  5. Analytical thinking including the ability to translate real-world phenomena into quantitative representations and, conversely, the ability to interpret quantitative representations with practical explanations.

Skills in these areas will be assessed in two ways:

  1. Completion of credit-bearing coursework with a grade of B or better from an accredited college or university OR 2+ years of relevant experience on a resume; and,
  2. Completion of a mandatory challenge exam that will assess current skill and knowledge in these areas. If you lack the skills required for admission to the program and/or are unable to answer the questions found in the challenge exam, please email DataScience@sps.cuny.edu for recommendations on how to pick up the necessary skill sets.

Bridge Program

If you have completed credit-bearing courses in the above areas or have used these skills at work but are no longer proficient, we offer three bridge courses: R Programming, SQL, and Data Science Math. These bridge courses are intended to refresh knowledge and skills, but are not for individuals who are learning these topics for the first time. 

For questions, please email DataScience@sps.cuny.edu.

Application Deadlines

Applications for Spring 2019 are due by January 3, 2019

Apply Now

Student/Alumni Profiles

Youqing Xiang

MS in Data Science

"There are four key success factors for a data analyst: computer programming and mathematical skills, domain knowledge, communication, and teamwork. CUNY SPS has prepared me in all of these areas."

Jonathan Hernandez

MS in Data Science

"The most enjoying aspect of the program is the fact that we get to work on real-world programs and can apply our skills learned in these courses to solve real-world data science problems."

Recent News About Master of Science in Data Science

Data Science Degree Programs Guide Badge

15 Most Affordable Master’s in Data Science Online 2018

April 09, 2018

Data Science Degree Programs Guide

Our MS in Data Science degree was ranked #13 nationwide in Data Science Degree Programs Guide's "15 Most Affordable Master's in Data Science Online 2018" list.
Data Science Degree Programs badge

30 Best Online Master’s in Data Science Degree Programs 2018

January 25, 2018

DataScienceDegreePrograms.net

Our MS in Data Science degree was ranked #4 out of 30 schools nationwide in Data Science Degree Programs Guide's "30 Best Online Master's in Data Science 2018" list.
alt="Online Course Report 50 Best Online Master's in Data Science 2017"

Best Online Master's in Data Science

July 25, 2017

Online Course Report

Online Course Report features our online MS in Data Analytics degree program in their 50 Best Online Master's in Data Science 2017 list.
alt="Value Colleges"

Top 50 Best Value Online Big Data Programs

March 21, 2016

Value Colleges

We're thrilled to announce that our MS in Data Analytics program was ranked #15 in the Top 50 Best Value Online Big Data Programs list by Value Colleges!