Masters Program in Data Science in North America

Find Masters Programs in Data Science in North America 2018

A masters is the first level of graduate coursework and can be obtained after you receive a bachelor’s degree. Earning a masters usually requires two years of full-time study, which amounts to 36 to 54 semester credits.

 

Spanning 23 countries, North America is continent filled with educational opportunity. Students have the opportunity to learn multiple languages and develop an understanding of vastly different cultures.

View all Master Programs in Data Science in North America 2018

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Master of Information and Data Science

UC Berkeley School of Information
Online Part time Open Enrollment USA Berkeley

The Master of Information and Data Science (MIDS) is an online degree program for professionals looking to become leaders in the field of data science. The program features a multidisciplinary approach that encompasses the entire data life cycle, from planning and gathering data to analyzing and presenting findings. [+]

The Master of Information and Data Science (MIDS) is an online degree program for professionals looking to become leaders in the field of data science. The program features a multidisciplinary approach that encompasses the entire data lifecycle, from planning and gathering data to analyzing and presenting findings. Coursework in this program examines issues of privacy, explores machine learning, and considers techniques for data storage and management. Students in the program benefit from UC Berkeley’s strong ties to the Bay Area and Silicon Valley.

Class sessions are delivered live in an online classroom. Classes are taught by many of the same School of Information (I School) faculty and data science professionals who teach our on-campus programs. Students are fully engaged members of the UC Berkeley I School community. Benefits Live online classes: All classes are held weekly on a face-to-face video platform and are kept small, with a low student-to-faculty ratio. Renowned faculty: The program is designed by many of the same School of Information (I School) faculty and data science professionals who teach our on-campus programs. Multidisciplinary curriculum: Coursework is designed with a project-based approach, encouraging the application of tools and methods to solve problems. UC Berkeley community: Students gain access to the UC Berkeley I School community, including technical support, academic support, and the university’s vast alumni network. Accreditations ... [-]

University of Illinois Master of Computer Science in Data Science

Coursera
Online Part time 24 - 36  September 2018 USA USA Online

A flexible and affordable degree from one of the top Computer Science programs in the world focused on one of the hottest fields of the new millennium.

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Overview

A flexible and affordable degree from one of the top Computer Science programs in the world focused on one of the hottest fields of the new millennium.

Enroll in the Master of Computer Science in Data Science (MCS-DS) and gain access to the computational and statistical knowledge needed to turn big data into meaningful insights. Build expertise in four core areas of computer science—data visualization, machine learning, data mining, and cloud computing—while learning key skills in statistics and information science. This completely online degree is an affordable gateway to one of the most lucrative and fastest growing careers of the new millennium.

The MCS-DS is offered by CS @ ILLINOIS, a U.S. News & World Report top five CS graduate program, in collaboration with the University’s Statistics Department and top-ranked iSchool. Join our alumni network of entrepreneurs, educators, and technical visionaries, who have revolutionized the way people communicate, shop, conduct business, and are entertained. From the ILLIAC to Blue Waters, OpenMP to MPI, Mosaic to YouTube, and the first vectorizing compilers to LLVM, CS @ ILLINOIS has long been at the forefront of excellence in computing and education.... [-]


Master of Science in Data Science for Public Policy (MS-DSPP)

Georgetown University - McCourt School of Public Policy
Campus Full time 2 years September 2018 USA Washington DC

The Master of Science in Data Science for Public Policy (MS-DSPP) is a joint degree offered by Georgetown’s McCourt School of Public Policy and Georgetown’s Graduate Analytics program combining the historic strengths of McCourt’s public policy analysis curriculum with the cutting-edge computational, mathematical, statistical methods training of Georgetown’s Analytics program. [+]

An advanced degree for recent college graduates and professionals who are interested in developing technical data skills for public sector work.

From our smartphones and our credit cards; to our tweets and our cars - data are everywhere and in everything. Even in power lines, airports and the roads we drive on, data exist in places that we wouldn’t even think of.

The smart and intentional application of these data could allow us to make better public policy decisions, find patterns, and more effectively deliver critical services like healthcare, education and national security. In governments around the world and in the nonprofit and private sectors, the demand for data analysts, scientists, and data-savvy managers is increasing quickly.... [-]


MicroMasters Program in Data Science (UC San Diego)

edX
Online Part time 40 weeks September 2018 USA Cambridge

Excel in Data Science, one of the hottest fields in tech today. Learn how to gain new insights from big data by asking the right questions, manipulating data sets and visualizing your findings in compelling ways. [+]

Excel in Data Science, one of the hottest fields in tech today. Learn how to gain new insights from big data by asking the right questions, manipulating data sets and visualizing your findings in compelling ways. In this MicroMasters program, you will develop a well-rounded understanding of the mathematical and computational tools that form the basis of data science and how to use those tools to make data-driven business recommendations. This MicroMasters program encompasses two sides of data science learning: the mathematical and the applied. Mathematical courses cover probability, statistics, and machine learning. The applied courses cover the use of specific toolkit and languages such as Python, Numpy, Matplotlib, pandas and Scipy, the Jupyter notebook environment and Apache Spark to delve into real-world data. You will learn how to collect, clean and analyze big data using popular open source software will allow you to perform large-scale data analysis and present your findings in a convincing, visual way. When combined with expertise in a particular type of business, it will make you a highly desirable employee.... [-]


MicroMasters Program in Analytics: Essential Tools and Methods (Georgia Tech)

edX
Online Part time September 2018 USA Cambridge

Gain an interdisciplinary understanding of the essential fundamentals of analytics, including analysis methods, analytical tools, such as R, Python and SQL, and business applications. Using common analytics software and tools, statistical and machine learning methods, and data-intensive computing and visualization techniques, learners will gain the experience necessary to integrate all of these parts for maximum impact. [+]

Gain an interdisciplinary understanding of the essential fundamentals of analytics, including analysis methods, analytical tools, such as R, Python and SQL, and business applications. Using common analytics software and tools, statistical and machine learning methods, and data-intensive computing and visualization techniques, learners will gain the experience necessary to integrate all of these parts for maximum impact. Project experience is also included as part of the MicroMasters program. Through these projects, learners will hone their skills with data collection, storage, analysis, and visualization tools, as well as gain instincts for how and when each tool should be used. These projects provide hands-on experience with real-world business applications of analytics and a deeper understanding of how to apply analytics skills to make the biggest difference.... [-]