CUNY School of Professional Studies - Online Master of Science in Data Science Program

The School of Professional Studies at the City University of New York (CUNY SPS) offers an online Master of Science in Data Science degree that targets the skills and technologies used to mine and synthesize big data. The program is classified as both a master’s in data analytics and a master’s in data science program, based on a careful examination of its curriculum. Students in the program develop hands-on programming proficiencies, build predictive and prescriptive models for data analyses, and learn how to draw and present compelling conclusions using analytics and data science tools.

CUNY SPS’s data science program is a 30-credit master’s program that does not require any campus visits and that is designed for students who have an academic background in statistics, mathematics, computer programing, and database systems. Students who enter the program with computer science proficiencies can expect to graduate in approximately three years provided they enroll in two courses per semester (Fall, Spring, and Summer). Students who do not have a strong computer science background may be eligible for a preparatory bridge program offered by CUNY SPS consisting of three courses in computer programming, database systems, and applied mathematics.

CUNY SPS uses an online learning platform that supports asynchronous instruction. This means that video lectures and other course materials are accessible on-demand to students from any location with an Internet connection. Students submit assignments and conduct research through the online learning platform as well, and can interact with instructors and classmates using designated discussion boards and blogs, and with email and instant messaging.

CUNY’s MS in Data Science curriculum is comprised of seven core requirements, which includes a master’s research project, and an additional three electives. Students earn 21 of the 30 credits required for graduation in the seven core courses, which include: Advanced Programming Techniques; Fundamentals of Computational Mathematics; Statistics and Probability for Data Analytics; Data Acquisition and Management; Knowledge and Visual Analytics; and Business Analytics and Data Mining. The three-credit final research project counts as a core requirement. To complete the crediting requirements, students take three electives in subjects like: Quantitative Finance; Web Analytics; Predictive Analytics; Machine Learning and Big Data; and Urban Society and Sustainability.

The CUNY School of Professional Studies is accredited by the Middle States Commission on Higher Education.

CUNY School of Professional Studies: Graduate School and University Center

Programs Offered: Analytics, Data Science (Master of Science in Data Science)
Accreditation: Middle States Commission on Higher Education
Instruction Methods: Program uses asynchronous instruction. Students interact with classmates and instructors through the online learning platform and partipicate in online discussion boards in addition to completing assignments and taking exams online.
Social Media: Facebook and Twitter

Online Master of Science in Data Science program (Analytics)

Program Overview
Program Type: Analytics
Degree Conferred: Masters
Program Structure: Online instruction with no campus visits required
Example Courses: Information and Systems, Advanced Programming Techniques, Statistics and Probability for Data Analytics, Knowledge and Visual Analytics, Machine Learning and Big Data
Program Website: sps.cuny.edu
Degree Requirements
Credits Required: 30 credits needed to graduate
Campus Visits Required: 0
Program Options
Program Start Dates: Three starts per year: Fall, Spring, Summer terms
Curriculum Options: Part-time only
Length of Program: Program can be completed in about 3 years (6 credits each Fall and Spring semester)
Admission Requirements and Tuition Costs
Degree Required for Admission: Bachelor's Degree
GPA Requirements: Minimum GPA 3.0
Testing Requirements: Not required for admission
Work Experience: Admission requires knowledge of statistics and linear algebra, programming languages such as SAS, Python, Java, and experience working with relational databases
Tuition Costs: ~$12,750 + fees
Cost per Credit Hour: $425 per credit hour
Eligibility Information: Program currently accepts students from all 50 states