New York Data Science Degree Programs
Consider a sponsored online program currently accepting applicants.
| University | Program | Admissions |
|---|---|---|
| Pace University | Online Master of Science in Data Science
Career-ready data science skills. 100% online. No GRE/GMAT. STEM-designated graduate degree. |
Website |
| Stevens Institute of Technology | Master of Science in Data Science
100% Online, GRE/GMAT Not Required. |
Website |
| Syracuse University | Online MS in Applied Data Science
No GRE Required to Apply |
Website |
There are a number of online data science programs in New York - 5 different degree offerings at a handful of different universities. All degrees are online Master of Data Science programs.
There are data science degrees in New York at all levels, but the most popular (by far) in the state is the Master's in Data Science (often called M.S. in Data Science).
Click for more online data science programs that are taking applications.
Are there online data science programs in New York?
Yes. Here is the list of some of the best online data science degree programs in New York that we have found so far.
| University | Program | Location |
|---|---|---|
City University of New York |
Online Master of Science (MS) in Data Science | Online |
City University of New York (CUNY) |
Online Master of Science in Data Science (MS) | Online |
Columbia University |
Master of Science in Computer Science with concentration in Machine Learning | Online |
New York University |
Advanced Certificate in Applied Urban Science and Informatics | |
New York University |
MBA, Specialization in Business Analytics | Online |
New York University |
MS in Applied Urban Science and Informatics | Online |
Pace University |
Master of Science in Information Systems | Online |
Rochester Institute of Technology |
Master of Science in Data Science | Online |
Syracuse University |
Online Master of Science in Applied Data Science | Online |
Utica University |
Online Master of Science in Data Science | Online |
Consider a sponsored online program currently accepting applicants.
| University | Program | Admissions |
|---|---|---|
| Southern New Hampshire University | Online BS in Data Analytics | Website |
| Pace University | Online Master of Science in Data Science | Website |
| George Mason University | Online Master in Data Analytics Engineering | Website |
| Maryville University | Bachelor of Science in Data Science | Website |
| University of North Carolina Chapel Hill | Online Master of Applied Data Science | Website |
| University of California Berkeley | Online Master of Information and Data Science | Website |
Full List of the Best New York Data Science Degrees
Here is the list of some of the best data science programs online and at campuses in New York..
| University | Program | Location |
|---|---|---|
Binghamton University Harpur College of Arts and Sciences |
M.S. in Data Analytics |
Vestal |
| Manage new data solutions and use predictive modeling to develop business solutions. Completed over a 10-month time span. Requirements include holding a Bachelor's degree with a background in business or related. Personal statement may include details on an internship experience and career goals. | ||
Canisius College College of Arts & Sciences |
MS in Data Analytics |
Buffalo |
| Up to 40 total credit hours fulfill curriculum requirements. Preparatory classes in econometrics, programming, and algorithms waived with prior academic work. Completed in a part-time format in as little as two years or a full-time format along with a small cohort for one year. | ||
City College of New York The Grove School of Engineering |
Master in Data Science and Engineering |
New York |
| Students gain hands-on experience and theory in data science at the executive level. Students should hold a Bachelor's degree with a 3.0 cumulative GPA in a related field. Prior academics recommended in Python programming, linear algebra, calculus, and probability and statistics. | ||
City University of New York Zicklin School of Business |
M.S. in Business Analytics |
New York City |
| Specializations in Data Analytics and Marketing Analytics use various applications in the field. Examples of tools and programming languages include Python, R, Hadoop, and SQL. Foundational skills in analytics recommended for the program. Professionals with five years of real-world experience should consider the Executive Master's degree. | ||
City University of New York School of Professional Studies |
Online Master of Science (MS) in Data Science |
New York City |
| Build advanced skills in data analytics to transition toward a particular industry. Should have academic experience in linear algebra, relational databases, and statistics and probability. Computer programming experience recommended in Python, Java, or SAS. Available both online and at the CUNY campus. | ||
City University of New York (CUNY) The Graduate Center |
M.S. in Data Science |
New York |
| Data science curriculum offers core concepts of big data analytics and machine learning. Two segments of electives focus on analytical processes and used applications. Application examples include automatic speech detection, text mining, abrupt changes, and image processing. Program culminates with a capstone project or internship validating academics learned throughout. | ||
City University of New York (CUNY) School of Professional Studies |
Online Master of Science in Data Science (MS) |
New York City |
| Collect, clean, format, and analyze information from a variety of different structures. Present findings to other parts of the organization they work in. Bachelor's degree with a 3.0 GPA or higher needed for admittance. Should also submit personal statement that details career goals and accomplishments. | ||
Clarkson University School of Arts and Sciences |
M.S. in Data Analytics |
Potsdam |
| Required coursework includes data warehousing, data mining, machine learning, and visualization strategies. Elective opportunities, such as artificial intelligence and market research, fit various analytical positions. Complete the degree in two years or less with full-time or part-time enrollment. This opportunity is also flexible at the Potsdam campus or completely online. | ||
College of Saint Rose Huether School of Business |
M.S. in Business Analytics |
Albany |
| Students can gain the competency of analyzing different types of data structures. Also become proficient in programming languages such as Python, R, and SQL. Two different tracks are available for Marketing and Management. Former emphasis focuses on business analytics skills to promote goods and services. | ||
Columbia University School of Professional Studies |
M.S. in Applied Analytics |
New York City |
| Management track provides skills for a professional to lead or install analytical concepts. Technical focus infuses analytical process within a system to enhance established processes. Part-time version of this program available either on-campus or online with six-term commitment. | ||
Columbia University Columbia Engineering and Columbia Business School |
M.S. in Business Analytics |
New York City |
| Core subjects include fundamental skills in probability, optimization, and professional development. Concentrations include analyzing financial data and developing marketing strategies and managing projects. More options include improving health care operations or general analytics and algorithm application. | ||
Columbia University Department of Biomedical Informatics, Columbia University Medical Center |
Master of Arts in Biomedical Informatics |
New York |
| Provides entry-level skills and analytical capabilities from computer science and health care. The goal is to improve medicine and patient treatment in the first semester. Educational objectives and domains explored in the program include quantitative and qualitative analysis. Public health, further research, and clinical work are also considered. | ||
Columbia University Institute for Social and Economic Research and Policy (ISERP), Columbia University |
Master of Arts in Quantitative Methods for Social Sciences |
New York |
| Focuses on statistical and mathematical research on results within various social science topics. Examples include economic impact, political science, and psychological factors. Application requires submitting a professional resume and three letters of recommendation. | ||
Columbia University Fu Foundation School of Engineering and Applied Science |
Master of Science in Computer Science with concentration in Machine Learning |
New York |
| All students complete the degree with at least a 2.7 cumulative GPA and finishing at least 30 credit hours. Topics in Machine Learning feature theory, artificial intelligence, and natural language processing. Students have limitations on what courses they can take to avoid content overlap. | ||
Columbia University Data Science Institute |
Master of Science in Data Science |
New York |
| Students explore machine learning, algorithms, and statistical inference within core subjects. Electives provide advanced topics in deep learning and financial big data. Recommended to have a data science or engineering degree, but not required. Professional work in a related field is also not required. | ||
Columbia University Department of Statistics,Graduate School of Arts and Sciences |
PhD in Statistics |
New York |
| Advanced topics include time series analysis, statistical theory, and probability theory. These topics aid in the completion of the dissertation with successful oral defense. Prior academics recommended in accomplishment in linear algebra, statistics and probability. Submission of the GRE test scores needed in the application process. | ||
Cornell University |
M.Eng. (concentration in Data Analytics) |
Ithaca |
| At least one elective must be from the category of Data Science and Statistical Modeling. Another elective could be introductory coursework in database systems or artificial intelligence. Incoming students must have coursework in college-level calculus and high-level computer science programming. | ||
Cornell University Engineering |
Masters in Data Analytics |
Ithaca |
| The discipline in Applied Statistics offers two different tracks to consider. One is Data Science, which focuses on infrastructure and database management. Statistical Analysis explores the different methods in scraping and reviewing data. Students pursue the degree on a full-time basis and complete the program in a span of two semesters. | ||
CUNY Bernard M Baruch College School of Business |
Advanced Certificate in Business Analytics of Large-Scale Data |
New York City |
| The truncated certification focuses on marketing analytics when cleaning and organization data. Content also features different technologies and systems used and data warehousing. Prior academic work required in a related background for this program. The prerequisite for graduate education is a course in Managerial Statistics. | ||
Fei Tian College Data Science |
Bachelor of Science in Data Science |
Middletown |
| Two different concentrations are available for this data science degree. The Creative Industries emphasis uses techniques toward business finance and revenue management. Precision Health focuses on improving the health care treatment plans and diagnosis methods. | ||
Fordham University Graduate School of Arts and Sciences |
M.S. in Data Analytics |
Bronx |
| Analytical degree features five core courses, four elective options, and a capstone project. Alternative thesis showcases what the student has learned throughout the program. Completed in one to two years on full-time enrollment. Specializations offered in the degree include financial informatics, and election and government informatics. | ||
Hofstra University Zarb School of Business |
M.S. in Business Analytics |
Hempstead |
| 30 credit hours feature six core courses within spreadsheet modeling and data visualization. Three elective opportunities customize the program and a capstone project showcases skills. Students not meeting prerequisites complete workshops in calculus, statistics, and general information technology. | ||
Manhattan College School of Science |
M.S. in Applied Mathematics, Data Analytics |
Riverdale |
| Data Analytics focus emphasizes techniques of data mining, machine learning, and database methods. Incoming students should hold credit in college-level calculus, linear algebra, and probability. | ||
New York University Center for Urban Science & Progress |
Advanced Certificate in Applied Urban Science and Informatics |
New York City |
| This graduate program emphasizes urban informatics. Content includes community intelligence analysis and city government impact within the field. The other half of the certification features electives that fit a future profession. Options include big data management or machine learning. | ||
New York University School of Professional Studies |
Bachelors in Applied Data Analytics and Visualization |
New York City |
| 128 total credit hours complete the four-year program with a potential internship opportunity. Electives in various categories fit in data analytics and visualization. Options include gathering information from web-based sources and marketing strategy. Foundational courses are also required in quantitative data and information systems. | ||
New York University Center for Data Science |
Major in Data Science |
New York |
Emphasizes skills and abilities to use applications and maintain databases for data analysis. To declare the data science major, students submit forms and complete specific courses. Students submit forms at the end of the fall semester or middle of spring semester. Must complete a data science-specific course holding a C grade or higher. | ||
New York University Stern School of Business |
M.S. in Business Analytics |
New York |
| Geared toward established professionals with at least five years of work experience. Submit official transcripts, resume, and two essays on chosen subjects in the application. Both GMAT and GRE scores are not required for the admission process. | ||
New York University Stern School of Business (NYC and Shanghai campuses) |
M.S. in Data Analytics and Business Computing |
New York |
| Combination program between the Stern School of Business and NYU Shanghai. Geared toward students that have recently completed undergraduate education. Offers skill sets in analyzing data at a business to develop forecasts for benefits. Students study in New York City for the summer semester. They transition to NYU Shanghai during the fall and spring semesters. | ||
New York University Center for Data Science |
M.S. in Data Science |
New York |
| 36 total credit hours takes approximately two years for students enrolled full time. Limitation of five total years for students to complete curriculum requirements. Concentrations include Big Data, Mathematics, Natural Language Processing, and Data Science Physics. Biomedical Informatics available through the medical school. | ||
New York University Stern School of Business |
MBA, Specialization in Business Analytics |
New York City |
| Business Analytics is a specialization available through the MBA program. Provides advanced study in data management through business operations and financial activity. Become professionals in brand management, investment banking, strategic planning, and real estate finance. Similar concentrations include Financial Systems and Analytics, Quantitative Finance, and Tech Product Management. | ||
New York University Center for Urban Science & Progress |
MS in Applied Urban Science and Informatics |
New York City |
| Students collect and analyze information from various data sources to enhance urban planning. Students complete the degree in one year with full-time studies or two years part-time. Incoming students should have experience with Python programming, college-level calculus, and probability. | ||
Pace University Lubin School of Business |
M.S. in Customer Intelligence and Analytics |
New York City |
| Students gain skills to review and present important client and consumer information. This gives an organization the edge over competition in their industry. Graduates from this program have gone on to analysts, managers, and consultant roles. Includes market research and business development with IBM and Consumer Reports. | ||
Pace University Seidenberg School of Computer Science and Information Systems |
Master of Science in Information Systems |
New York City |
| Many different concentrations are available to choose from in the Information Systems discipline. Foundational coursework consists of design, implementation, and communication standards in an organization. Other concentrations include Business Intelligence, Database Management, and Health Information Systems. 30 total credits needed to complete the program. Available at the New York City or Pleasantville campus locations. | ||
Rensselaer Polytechnic Institute Lally School of Management |
M.S. in Business Analytics |
Troy |
| 12 total courses with an opportunity to waive foundational coursework in data science. Curriculum consists of required courses in both business and analytics. Career development workshops available in the fall and spring semesters. Elective opportunities in subjects such as advanced data analytics, policy, finance, and marketing. | ||
Rensselaer Polytechnic Institute Department of Information Technology & Web Science |
M.S. in Information Technology - Concentration in Data Science and Analytics |
Troy |
| Focuses on data science in general and various analytical methods. Course options include Design and Analysis of Algorithms and Machine Learning from Data. Two different tracks available throughout the program. One focuses on advanced job preparation with a capstone project. The other dedicated to further studies with a thesis paper. | ||
Rochester Institute of Technology Saunders College of Business |
M.S. in Business Analytics |
Rochester |
| Seven core courses explore topics in business intelligence, data management, and analytics. An analytics-focused elective explores concepts like predictive and time series analysis. Also requires six total credit hours worth of open electives. | ||
Rochester Institute of Technology |
Master of Science in Data Science |
Rochester |
| 30 total credit hours complete the program in one to two years for full-time students. Alternative option completed in approximately four years for part-time enrollment. Six core courses explore foundational topics, software engineering, linear models. Three elective courses customize the degree with specialized topics in data science. | ||
St. John's University College of Professional Studies |
Master of Science in Data Science |
Queens |
| Provides manage and manipulation techniques in marketing and health care sectors. Admission requirements include a Bachelor's degree with 3.0 cumulative GPA or higher. Two letters of recommendation are also required. Incoming students must have completed prior coursework in calculus, probability, and statistics. | ||
State University of New York at Plattsburgh School of Business and Economics |
M.S. in Data Analytics |
Plattsburgh |
| General data analytics degree offers skills in mining, managing data from many sources. Students use many analytical techniques to understand comprehensive information and develop clear visualizations. Students complete the program along with a cohort over a 10-month period. | ||
Syracuse University School of Information Studies |
M.S. in Applied Data Science |
Syracuse |
| 36 total credit hours with half of program dedicated to core study completed by all students. Other part of curriculum features elective opportunities and data analytics. Portfolio project culminates the program showcasing skills in data mining, visualization, and analysis. | ||
Syracuse University Whitman School of Management |
M.S. in Business Analytics |
Syracuse |
| Students understand patterns and trends in data collection to develop visualizations and strategies. Completed in an average time span of 18 months. Can complete the Master of Business Administration or Professional Accounting in three years. | ||
Syracuse University The iSchool |
M.S. in Data Science |
Syracuse |
| Students gaining skills in data mining, analysis, and visualization processes. Complete this program either at the university location or online. Should hold undergraduate degree in the fields of business, statistics, or information technology. | ||
Syracuse University School of Information Studies |
Online Master of Science in Applied Data Science |
Syracuse |
| 36 credit hours for the curriculum with an average completion time of 18 months. Courses include Data Analysis Decision Making, Principles of Management Science, and Quantitative Reasoning. Online students receive the same features and benefits offered at the Syracuse location. | ||
University at Albany State University of New York College of Arts and Sciences |
M.S. in Data Science |
Albany |
| Three different concentrations: Topological Data Analysis, Machine Learning, and Statistical Methods. Capstone project completes the degree and showcases what the student has learned throughout. Topological Data Analysis emphasizes breaking down comprehensive or incomplete information for easier management. | ||
University of Albany, State University of New York College of Arts & Sciences |
Master of Science in Data Science |
Albany |
| Working through the program leads to machine learning engineer and algorithm developer positions. Admission requirements include submitting all transcripts and a letter of recommendation. Transcripts should show completion at accredited schools with high academic marks. | ||
University of Rochester Interdisciplinary |
Bachelors in Data Science |
Rochester |
| Many different areas of emphasis apply to the Data Science Bachelor's degree. Emphasis options include biology, cognitive sciences, political science, and environmental science. Incoming students should have completed courses in entry-level computer science and data algorithms. Other requirements include discrete mathematics and many levels of calculus. | ||
University of Rochester Simon Business School |
M.S. in Business Analytics |
Rochester |
| Business-focused analytics degree features tracks in business systems, auditing, and mitigating financial risk. Other courses include learning programming languages and data analytics using social media. Successful post-graduation employment rate of 95 percent over the first four months. | ||
University of Rochester Department of Biostatistics and Computational Biology |
MA and MS in Medical Statistics |
Rochester |
| The university offers an MA in Statistics and MS in Biostatistics. There is no thesis for the arts-focused program. Subjects emphasize statistical theory and advanced methods, such as Bayesian inference. The science-focus explores a technical and analytical approach for clinical research. | ||
Utica University |
Online Master of Science in Data Science |
Utica |
| Available online with four concentrations, including Business Analytics, and Social Science Analytics. Business Analytics focuses on how to mitigate risk and understand data collection strategy. Social Science Analytics analyzes or predicts information through social trends and surveying communities. | ||
Yeshiva University Katz School of Graduate and Professional Studies |
M.S. in Data Analytics and Visualization |
New York |
| 30 credit hours required for the Master's degree. Gather and present valuable analysis within health care, e-commerce, real estate, and more. Flexibility with part-time or full-time evening enrollment at the New York City-based institution. Also available 100 percent online. | ||
Notice a missing or inaccurate program? Our data is hand-collected and edited. If you notice a missing data science program, please email schools at datascienceprograms.org to enter a program to be reviewed or to adjust a current listing.
Online Data Science Programs in New York
Here are a few highlights on online data science degrees in New York.
City University of New York
The School of Professional Studies offers an online Master of Science in Data Science that gives students the tools necessary to enter the world of big data with an introduction in business education and data analysis with advanced programming methods. Students must complete these core courses along with three electives that go along with a desired specialization, such as finance, urban society and sustainability, and machine learning. The MSDS is geared toward job positions such as a data scientist, business intelligence analyst, and data mining engineer.
What you should consider prior to applying
CUNY suggests that students have a Bachelor's degree with at least a 3.0 cumulative GPA. Applicants do not have to be in a certain field to qualify for the program, but they must demonstrate basic knowledge in statistics and probability, linear algebra, programming (Python, Java, SAS, etc.), working with SQL queries (or at least two years with Microsoft Access), and analytics.
Rochester Institute of Technology
A Master of Science in Data Science can be obtained online through the Golisano College of Computing and Information Sciences. 30 credit hours are needed to complete the curriculum at RIT, which begins with a Data Science MicroMasters offered through edX and counts as 9 total credits. Courses offered through RIT are DS management, software engineering, applied linear models and regression, three electives in computing, math, and statistics, and a capstone project. Job opportunities after completing the degree have featured a senior data analyst at a marketing agency or policy advisor at an insurance company.
There is a part time option for the Master of DS
Part-time students can complete the curriculum in approximately four years. In order to be accepted into the program, a Bachelor's degree with at least a 3.0 cumulative GPA is recommended. There must be knowledge in computer programming or the student will need to take courses to satisfy this requirement. Official transcripts, a resume, and two letters of recommendation should also be sent in with the application.
Scholarship Opportunities within New York
New York offers a large variety of benefits for graduates that are looking to break into a data science career.
Columbia University DSI Research Team
For Columbia University students enrolled in a related graduate program, they can offset the cost of tuition with a part-time graduate assistantship through the Data Science Institute Campus Connection. The DSI Research Team collects projects that need the aid of a data science to complete, be it short-term or ongoing work.
NYU
For those seeking a Master of Science in Data Science at New York University, students admitted into the program are already considered for a scholarship that can pay a portion of tuition for up to two years.
National Science Foundation Data-Enabled Science and Engineering Award
At the University of Rochester, US residents and grad students can apply for the National Science Foundation Data-Enabled Science and Engineering Award, which gives students free training and full internship and networking advantages to aid in career advancement. Some students will also receive financial support.
Multiple Data Science Scholarships from CUNY
A couple of scholarships from the CUNY School of Professional Studies: The Russ Peterson Technology Scholars Program offers various awards for MSDS students that can maintain a 3.0 GPA and demonstrate financial need. Another option for the online program is the Stephen M. Rossen Memorial Scholarship, which is available when students are within 30 credits of completing the degree.
Data Science Events, Meetups, and Conferences in New York
Data Council New York City
Data Council New York City Website
Over 45 leading data scientists and engineers talk and interact with attendees over the course of two full days. There is a limit of 500 people that can attend the event to make sure that close interaction with everybody is available.
Six different career tracks will be available to help with networking and meeting specific data scientists and engineer positions. There is an opportunity to talk with guest speakers one-on-one during office hours. Food, drinks, and an after-event party is included with an additional opportunity to network.
Guest speakers range from CEOs and co-founders and senior machine learning analysts to traditional software engineers, data engineers, and data scientists. Employees have represented famous tech companies such as Facebook, Google, Lyft, Netflix, WeWork, Salesforce, and many more.
DATAx New York
A two-day event in New York City offers an opportunity for data scientists and business analysts to connect with others and learn how to implement new ideas to create a better data-driven business model. A number of leading, disruptive startups will be on hand to discuss their success and also learn about a number of new technology innovations to stay on top of the latest trends.
The first day of the event focuses on how to use big data to create insight and how to implement that information with AI and machine learning. Day two explores data analytics and how that connects with marketing and the consumers. Guest speakers include various engineering and data science leaders from companies like IBM, The Associated Press, Bloomberg, and Airbnb.
Data Science Careers in New York
New York is one of the hottest and fastest-growing places to begin a data science career, specifically in the New York City metro area. According to CompTIA, just over 663,000 are employed in the tech sector throughout the state, making it the third-best state in the country. It is also the fifth-best state in terms of jobs being added. The New York-Newark-Jersey metro area alone has nearly 660,000 employed, which is highest in the nation.
Average salary is on the high-end at $87,138, 78 percent higher than the median average, but is actually lower when compared to various Northeastern states like Massachusetts (nearly $93,000), New Jersey (around $92,300), and Maryland (nearly $96,000).
Software and web developers have the highest occupancy rate among tech opportunities with nearly 90,000 positions. Systems and cybersecurity analysts, network administration, and computer support specialists all bunch together next at around 48,000 jobs. IT, telecommunications, and engineering services have all seen significant year-to-year growth between 1 and 3 percent.
