Sign in to see all reviews and comparisons. It's Free!
The New York University, Master of Science in Data Science is a highly-selective degree that polishes prospects to develop new methods needed to use automated analytical tools and to create knowledge from big data, a necessary component in this “Age of Exabyte”. The program is designed to give students skills to deal with the data tidal waves in their profession of choice.
MS Data Science Schools
•MS in Data Science offers Non-degree Program •Selective program for students with a strong background in mathematics, computer science, and applied statistics •The curriculum is 36 credits, and offers two ways to structure the graduate program •Focuses on the development of new methods for data science.
Master of Science in Data Science
New York University, MS Data Science
What is best?
•Selective program for students with a strong background in mathematics, computer science, and applied statistics •The curriculum is 36 credits, and offers two ways to structure the graduate program •Focuses on the development of new methods for data science.
What are the benefits?
• Opportunity to pursue specialization through tracks • Full-time and part-time option • Scholarships available for qualified students • Capstone projects for practical purposes • Online citation guide available • Specialized library • Data management guide provided • Proficient faculty across all fields
Aggregated User Rating
The Master of Science in Data science from The New York University, represents the University adroitness in creating the country’s leading data science training and research facilities , and arming researchers and professionals with tools to harness the power of big data. Adept curriculum and proficient faculty are tailored towards this goal to its students.
Aggregated User Rating
You have rated this
The Master of Science in Data Science is a highly-selective program for students with a strong background in mathematics, computer science, and applied statistics. The degree focuses on the development of new methods for data science. Students of Data Science are given the right education to perform these tasks and become marketable after the course. A new discipline has emerged to address the need for professionals and researchers to deal with the “data tidal wave.” Its object is to provide the underlying theory and methods of the data revolution and that is “data science,” and New York University have created the world’s first and only MS degree program devoted to it. The curriculum is 36 credits, half of which are required courses and half of which are electives. One of the key features of the MS in Data Science curriculum is a capstone project that makes the theoretical knowledge that students gain in the program operational in realistic settings. During the project, students will go through the entire process of solving a real-world problem: from collecting and processing real-world data, to designing the best method to solve the problem, and finally, to implementing a solution. The problems and datasets that the students will engage with will come from real-world settings identical to what they might encounter in industry, academia, or government. The MSDS also offers two ways to structure the graduate program that give students the opportunity to pursue a specialization. Students in the Data Science track will follow the standard curriculum, which consists of 6 required courses and 6 electives. Students may also enroll in tracks where specializations are formalized. In addition to the required courses, students will have to fulfill track requirements as part of their electives. The track descriptions are listed below. Upon completing the track requirements, in addition to the MSDS degree, the student will receive a certificate from the Center for Data Science.
PAT RESEARCH is a B2B discovery platform which provides Best Practices, Buying Guides, Reviews, Ratings, Comparison, Research, Commentary, and Analysis for Enterprise Software and Services. We provide Best Practices, PAT Index™ enabled product reviews and user review comparisons to help IT decision makers such as CEO’s, CIO’s, Directors, and Executives to identify technologies, software, service and strategies.