Are you looking for online masters in data science?
There are many universities that offer this program, but only a few offer it online. The online programs vary depending on the school, location, program, and e-mail that you opt for. Here’s a list of the best 20 online data science masters degree programs. The information on the list was gleaned from the school websites.
University of California – One of the most prestigious schools in all of the world.
University of California provides a master’s degree program in six disciplines. Among these disciplines are artificial intelligence, cognitive science, applied computer science, economics, engineering, and statistics. This program has rigorous standards and students take an intro class that covers the basics of computer science, including Data Structures, Planning and Analysis, Design and Visualization, Programming Languages, Calculus, and probability. In the spring they will take Computational Learning.
Stanford University offers a Master of Science in Computer Science.
The program provides a variety of coursework that ranges from learning systems and databases, networks, big data, distributed computing, web science, and software engineering. They teach programming languages such as C++, Java, Python, R, MATLAB, SQL, and Systat. In the fall they will be taking Machine Learning. Machine learning courses cover areas like natural language processing, voice recognition, speech recognition, visual recognition, and object recognition.
Michigan State University offers an online Master of Science in Analytics.
It is a two year program. Students can expect to learn advanced analytic techniques, statistical methods, data analysis, research methodology, decision trees, k-nets, supervised and unsupervised algorithms, linear models, decision trees, and r-nets. Students will also be able to learn about time management, supervision, decision trees, exploratory data analysis, statistical methodologies, database formats, and web analytics. In the spring they will take Online Data Mining. This course covers MLQ, RDF, Web Services, and agent-based applications.
At Johns Hopkins University, they offer an online Masters in Computing Science.
Their program is focused on teaching students how to interpret data sets, with particular emphasis on the mathematical and scientific side of data mining and big data analysis. They teach linear and logistic regression, frequent grid, decision trees, and neural networks. In the fall they will be taking Online Data Mining, a course that deals primarily with text search and image search. This course will help students to obtain a deep understanding of text mining, how to interpret data sets, and how to apply mathematical and scientific approaches to data sets that are both large and complex.
At North-eastern University there is an online degree program in Information Systems and Applications, which is also offered via the internet.
Unlike most of the other data science masters degrees that are offered, this one does not require any prerequisite courses. The program provides students with the skills they need to analyze information and make decisions about it. This program requires students to complete a foundation of engineering technology, including information science, computer science, math, and accounting. It also requires students to participate in an internships in various industries.
At Villanova University there is an online Master’s in Computer Science that is taught by an instructor with the name Vincent Cacchi.
He has received many awards for his work in information science and was previously an information systems administrator at the State University of New York at Albany. The online program taught here is geared towards preparing students to enter the field of big data science, particularly those who plan to open online business opportunities or work as data scientists for major corporations.
At Villanova University there is a Master of Science in Statistics that is also provided through an online program. This online program allows students to focus on the statistics curriculum. Those wanting a more detailed education can opt for the Master of Science in Data Analytics. Students in this program will focus on areas such as statistics, data visualization, statistical inference, sample analysis, decision trees and neural networks. Students in this program will have the opportunity to work on projects requiring advanced statistical techniques. In this program, students will be able to learn more advanced statistical methods such as principal components analysis, factor analysis, non-parametric statistics, frequentist statistics, supervised and non supervised analysis, decision trees, neural networks, decision calculus, graphical data analysis and decision analytics.