Filter
Master Degrees
North America

Find Masters Programs in Data Science in North America 2019

In order to successfully obtain a Masters qualification, you will need to obtain a number of credits by passing individual modules. Most taught Masters will have a number of core modules which you must take and pass in order to obtain the qualification. The assessment of research Masters is almost always entirely by a single dissertation module or project.

View all Master Programs in Data Science in North America 2019

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

7 Results in Data Science, North America

Other options within this field of study:
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
Part-time
24 - 36 
Online
Simplilearn

This Master’s Program provides training in the skills required to become a certified data scientist. You’ll learn the most in-demand technologies such as Data Science on ... [+]

What are the learning objectives? Simplilearn's Data Scientist Master’s Program will help you master skills and tools like Statistics, Hypothesis testing, Clustering, Decision trees, Linear and Logistic regression, R Studio, Data Visualization, Regression models, Hadoop, Spark, PROC SQL, SAS Macros, Statistical procedures,Advanced analytics, Matplotlib, Excel analytics functions, Hypothesis testing, Zookeeper, Kafka interfaces. These skills will help you prepare for the role of a Data Scientist. The program provides access to high-quality eLearning content, simulation exams, a community moderated by experts, and other resources that ensure you follow the optimal path to your dream role of data scientist. Why be a Data Scientist? A data scientist is the pinnacle rank in an analytics organization. Glassdoor has ranked data scientist first in the 25 Best Jobs for 2016, and good data scientists are scarce and in great demand. As a data scientist, you will be required to understand the business problem, design the analysis, collect and format the required data, apply algorithms or techniques using the correct tools, and finally make recommendations backed by data. What projects are included in this program? ... [-]
USA USA Online
Open Enrollment
Part-time
Online
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
Full-time
Part-time
60 weeks
Online
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
April 2019
Full-time
Part-time
24 - 56 weeks
Online
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
Full-time
Part-time
40 weeks
Online
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
Full-time
1 - 2 years
Campus
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
Campus