Online Master's Degree in Data Analytics (M.S.)

Program Description

The Online Master's Degree in Data Analytics (M.S.) prepares graduates to make sense of real-world phenomena and everyday activities by synthesizing and mining big data with the intention of uncovering patterns, relationships, and trends. Big data has emerged as the driving force behind critical business decisions. Advances in our ability to collect, store, and process different kinds of data from traditionally unconnected sources enables us to answer complex, data-driven questions in ways that have never been possible before.

Data analytics combines information management, systems thinking, quantitative methods, data modeling, data warehousing, and data mining to produce visualizations and other business intelligence models that help organizational leaders predict and evaluate best practices. For example:

Careers in Data Analytics

Graduates of the Online Master's Degree in Data Analytics are prepared for a variety positions such as Data Scientist, Business Intelligence Analyst, Knowledge and Informatics Engineer, Data Analyst, Data Mining Engineer, and Data Warehousing Manager. Students that opt for the track in urban informatics, emerge prepared for jobs that help make cities smarter for example, by making the electricity grid intelligent, relieving traffic congestion, and reducing building energy consumption.

When considering the Online Master's Degree in Data Analytics, it is helpful to look at the job market in analytics, data science, and informatics. See Indeed.com for current job openings in data science and data analytics.

Admission Criteria

As an interdisciplinary field, we welcome professionals from diverse professional backgrounds. However, because the M.S. in Data Analytics is a highly quantitative and technical major, acceptance into the program requires applicants to demonstrate current skills in the following areas:

  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 need to refresh or strengthen your skills in any of these areas, there are two options: 

  1. If you have completed credit-bearing courses in these areas more than 7 years ago but are no longer proficient, we offer two seven week bridge courses for quantitative methods and data programming. These bridge courses are intended to refresh the knowledge and skills of experienced applicants, but are not appropriate for individuals who are learning these the topics for the first time.  See http://sps.cuny.edu/admissions/msda_workshops.
  2. If you are new to this level of math and data programming, or need more in-depth preparation to strengthen your skills, we have a selection of up to six semester-long undergraduate courses to help you prepare. You can enroll in these fully online courses as a non-matriculated student.  See http://sps.cuny.edu/programs/bs_is/curriculum.

If you have questions about which option can work best for you, call to speak with one of our program staff.

*International students may enroll in fully online degree programs. However, our online programs do not qualify for student visas.

Application Deadlines

Contact

For more information about the program, contact or 212.652.2869.