Filter
Masters Degree
North America

Best Master's Degrees in Data Science in North America 2019

Master's Degree in Data Science in North America

Read More Read Less
Other options within this field of study:

8 Results inData Science, North America

Coursera

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. ... [+]

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.... [-]

USA USA Online
September 2019
English
Part time
24 - 36 find your juris doctor
Online
Read more in English
edX

UCSD’s Master of Data Science will give you the skills required to become a successful data scientist. Through a rigorous curriculum developed by the world’s topmost expe ... [+]

Master's Overview

UCSD will offer an online Master of Data Science, subject to approval by The University of California, San Diego, the UC Office of the President, and WSCUC.

UCSD’s Master of Data Science will give you the skills required to become a successful data scientist. Through a rigorous curriculum developed by the world’s topmost experts in the field, the program covers both the foundations of data sciences, along with applied methods useful in practice. Students will learn how to collect, prepare, store, analyze, and visualize data, all at large scales.

A capstone course will tie all the material together through a large project that leverages unique strengths at UCSD, including the interdisciplinary Halicioglu Data Science Institute, the San Diego Super Computer Center, the Scripps Institution for Oceanography, and world-renowned research groups in health informatics, computer vision, and computer-generated music.... [-]

USA Cambridge
September 2019
English
Full time
Part time
1 - 3 years
Online
Read more in English
edX

This MicroMasters program in Statistics and Data Science is comprised of four online courses and a virtually proctored exam that will provide you with the foundational kn ... [+]

From probability and statistics to data analysis and machine learning, master the skills needed to solve complex challenges with data.

Demand for professionals skilled in data, analytics, and machine learning is exploding. A recent report, by IBM and Burning Glass, states that there will be 364K new job openings in data-driven professions by 2020 in the US. Data scientists bring value to organizations across industries because they are able to solve complex challenges with data and drive important decision-making processes. 39% of the most rigorous data science positions require a degree higher than a bachelor’s.

This MicroMasters program in Statistics and Data Science is comprised of four online courses and a virtually proctored exam that will provide you with the foundational knowledge essential to understanding the methods and tools used in data science, and hands-on training in data analysis and machine learning. You will dive into the fundamentals of probability and statistics, as well as learn, implement, and experiment with data analysis techniques and machine learning algorithms. This program will prepare you to become an informed and effective practitioner of data scientist who adds value to an organization. The credential can be applied, for admitted students, towards a Ph.D. in Social and Engineering Systems (SES) through the MIT Institute for Data, Systems, and Society (IDSS) or may accelerate your path towards a Master’s degree at other universities around the world.... [-]

USA Cambridge
September 2019
English
Full time
Part time
60 weeks
Online
Read more in English
edX

Master algorithmic programming techniques necessary for top software engineering professions. ... [+]

Master algorithmic programming techniques necessary for top software engineering professions.

This MicroMasters program is a mix of theory and practice: you will learn algorithmic techniques for solving various computational problems through implementing over one hundred algorithmic coding problems in a programming language of your choice.

No other online course in Algorithms even comes close to offering you a wealth of programming challenges that you may face at your next job interview. To prepare you, we have invested thousands of hours designing challenges as an alternative to multiple choice questions that you usually find in MOOCs. We believe in learning through application, especially when it comes to learning algorithms.... [-]

USA Cambridge
Request Info
English
Full time
Part time
24 - 56 weeks
Online
Read more in English
edX

Gain the critical skills needed to become a data scientist, rated one of the best jobs in America and in demand globally. ... [+]

Gain the critical skills needed to become a data scientist, rated one of the best jobs in America and in demand globally.

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.... [-]

USA Cambridge
September 2019
English
Full time
Part time
40 weeks
Online
Read more in English
McGovern Education Group

The Master of Data Science is a master’s degree in data science, an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract kn ... [+]

The Master of Data Science is a master’s degree in data science, an interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data mining.

The primary purpose of data science is to create and leverage various forms of data in order to better understand trends and phenomena.

Typical data science program coursework features core classes in topics like applied statistics and hones in on lessons in programming skills such as SQL and Python.

In some programs, students may choose to specialize in such fields as business analytics or cybersecurity. ... [-]

USA Oklahoma City
September 2019
English
Full time
1 - 2 years
Campus
Read more in English
Stevens Institute of Technology - Graduate Studies

Learn the theoretical knowledge and practical skills necessary to analyze big data for functional application in business and technology. ... [+]

Overview

Learn the theoretical knowledge and practical skills necessary to analyze big data for functional application in business and technology.

Demand for data scientists who can glean insights from the wealth of information made available through modern technologies to aid in informed decision-making is on the rise. The data science master’s program at Stevens instills the theoretical knowledge and practical skills required for dealing with the contemporary collection, exploration, analysis, and modeling of data along with the related challenges pertaining to inference and prediction.

This interdisciplinary program prepares students for careers in fintech, business intelligence and analytics, academia, and database management, as well as government positions requiring strong skills in data analysis. Students will analyze complex data, including large scale databases, and apply state-of-the-art modeling and visualization techniques. They will participate in simulations of cyber attacks and create effective defense strategies, as well as study, in depth, the algorithms and optimization schemes underlying the latest business analytics methods.... [-]

USA Hoboken
August 2019
English
Full time
Part time
2 years
Campus
Read more in English
New Jersey Institute of Technology

As data accumulates across broad sectors of industry and academia we see a need for data scientists equipped with skills to assist with data-based decision making. For ex ... [+]

Overview

As data accumulates across broad sectors of industry and academia we see a need for data scientists equipped with skills to assist with data-based decision making. For example, businesses are using data to determine insurance coverage, to make marketing decisions, to offer recommendations to customers, and to provide more effective health care. A famous example from academia is the determination of the Higgs Boson from simulated data with machine learning methods.

We offer a Masters in Data Science degree that covers basic and advanced essentials in statistical inference, machine learning, data visualization, data mining, and big data methods, all of which are key for a trained data scientist. In order to be selected for our program, we require a basic background in calculus, linear algebra, probability, computer programming, data structures, and algorithms. Our program is spread across 30 credits and contains projects involving big datasets, classification methods, variable selection, and deep learning to name a few.... [-]

USA Newark
September 2019
English
Campus
Read more in English