Online Master in Data Science

Best Online Masters in Data Science 2018

A master’s degree is a postgraduate degree that requires about two years of classwork and research. Some programs have the additional requirement of writing a thesis paper to earn the degree. It is a great way to expand your knowledge and prove mastery of a field of study.

What is a Master in Data Science? It balances theory and application. It combines statistics, computer science and creative thinking to tackle big data. It focuses on the development of new methods for data science. You may learn to use automated analytical tools to create knowledge from big data. The main objective of many data science programs is to provide underlying theory and methods of the data revolution. You may find yourself taking courses in probability theory, machine learning, statistical inference and modeling or computer systems for data science.

A master’s degree in data science can provide you with knowledge and skills that are incredibly valuable for today’s job market. You may cultivate exceptional research, analysis and problem-solving skills that may open doors in just about any industry.

Master in Data Science degrees are offered at many universities around the world. Cost of attendance can vary from one program to another. Check with your admissions office before applying.

Upon graduation, you may choose to become a data scientist, responsible for conducting research on open-ended industry questions. You may extract large volumes of data from various sources and work to remove irrelevant information to make the collections usable. There are several industries in high demand for data scientists: technology sector, marketing, corporate settings, consulting, health care and financial services. You may choose from a variety of careers: statistician, business intelligence reporting professional, data analyst, project manager or big data engineer.

You can earn a degree from the comfort of your own home with many universities offering master’s degrees online. Search for your program below and contact directly the admission office of the school of your choice by filling in the lead form.

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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 ... [-]

Masters In Data Management And Technological Innovation

OBS Business School
Online Full time Part time 12 months May 2018 Spain Barcelona Madrid + 2 more

The Master in Data Management and Technological Innovation of OBS is designed to provide managers and professionals (Data Manager) the keys to the management of information systems in an organization, with special attention to the Data Management environment and, more specifically, the Big Data. This is a project to make the most of technology versus Master programs ... [+]

Master in Data Management and Technological Innovation

The Master in Data Management and Technological Innovation of OBS is designed to provide managers and professionals (Data Manager) the keys to the management of information systems in an organization, with special attention to the Data Management environment and, more specifically, the Big Data.

This is a project to make the most of technology, against programs showing what the technology available allows Masters. Technology is a tool and service that should contribute to achieving strategic goals of the company.

Professional outings

Some of the sectors that can work are:

Investment banking and private Retail Company General Manufacturing and production Telecommunications Non-governmental organizations Insurance companies eCommerce and Social Media Asset Management Multinational companies Small and medium enterprises Information technology companies Multilateral financial institutions Objectives of the Master in Management and Technological Innovation Data ... [-]

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.... [-]


Cloud Engineer Masters Program

Simplilearn
Online Part time Open Enrollment USA USA Online

Want to be a cloud engineer that can do it all? Learn to deploy, manage, and operate scalable, highly available, and fault tolerant systems across the three cloud platforms today - Amazon web services (AWS), Microsoft Azure, and Google Cloud Platform. [+]

Want to be a cloud engineer that can do it all? Learn to deploy, manage, and operate scalable, highly available, and fault tolerant systems across the three cloud platforms today - Amazon web services (AWS), Microsoft Azure, and Google Cloud Platform. The Cloud Engineer program helps you develop the key skills necessary to become a Cloud platform expert.You will gain in-depth knowledge of computing, network, storage, database, and application services across the three major cloud platform providers—Amazon Web services (AWS), Microsoft Azure, and Google Cloud Platform. Cloud engineer is the logical step in cloud computing before an aspirant moves on to become a cloud architect. The Cloud Engineer program will help you learn to develop and manage the required services on the cloud setup per the architecture created/proposed by the solutions architect. You will gain hands-on knowledge of services such as: Amazon Web Services (AWS): Elastic Compute Cloud (EC2) VMs, Amazon Lightsail, EC2 Container Service (ECS), EC2 Container Registry, AWS Batch, RDS, Glacier, Snowball, CloudFront, DynamoDB, Redshift, Auto Scaling, CloudWatch, ElastiCache, Elastic MapReduce(EMR), CloudTrail, Cloud Search and Security Microsoft Azure: Azure container service, Azure VM, file storage, blob storage, table storage, CDN, ExpressRoute, SQL database, Azure AD, PowerShell, HDInsight, Azure Batch, Azure autoscaling, Azure DNS, Traffic Manager, SQL data warehouse, Azure search, Azure portal/Azure monitor Google Cloud Platform: Google compute engine, Google container engine (GKE), Google Cloud load balancing, Google Cloud DNS, Google Cloud Storage, ZFS, Avere, Google Cloud SQL, Google Cloud Dataproc, Stackdriver Monitoring, Google Cloud Deployment Manager The... [-]


Master in Integrated Program in Big Data and Data Science

Simplilearn
Online Part time Open Enrollment USA USA Online

This learning path is designed for a professional taking his first steps in the world of analytics and wishes to develop skills in both big data and data science. It is important to be a multi-skilled expert to make it big in the field of analytics to be able to adapt to the fast-changing trends of the industry.

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Key Features 720 days course access: 200+ hours of instructor-led online classes Practice on Cloud-Labs: Real life projects on Hadoop, R & python Integrated Program Certification: Earn certification on completion $100K - $220K: Annual average salary in the USA About the program

What’s the focus of this learning path? This learning path is designed for a professional taking his first steps in the world of analytics and wishes to develop skills in both big data and data science. It is important to be a multi-skilled expert to make it big in the field of analytics to be able to adapt to the fast-changing trends of the industry. Big data technologies like Hadoop and spark provide the necessary developmental and programming frameworks to store and process huge amounts of data using a distributed computing framework. The next step to big data is to expertise in complex data science algorithms and their implementation using a highly preferred language for statistical processing like R. The insights from data are presented as consumable reports using data visualization platforms like Tableau. Once you have mastered data management and predictive analytic technique you need to start working state-of-the-art machine learning technologies which are in high demand. If you have the vision to excel in the entire spectrum of big data and data science related technologies then this is the course for you. What are the learning objectives? This is an all-inclusive course for big-data and data science enthusiasts. It spans across all the major technologies in... [-]


Data Scientist Masters Program

Simplilearn
Online Part time Open Enrollment USA USA Online

The Data Scientist Masters Program has been designed keeping in mind the requirements of the new wave of demand for strong analytics professionals. It equips you with all the conceptual and technical skills required for the ultimate position in the analytics industry. [+]

Key Features 365 days course access: Access to 100+ live instructor-led online classes Practice on CloudLabs: Execute real-life projects on R, SAS & Python Masters Certification: Earn masters certification on completion $85K - $106K: Annual average salary in the USA About the program

About the Data Scientist Masters Program The Data Scientist Masters Program has been designed keeping in mind the requirements of the new wave of demand for strong analytics professionals. It equips you with all the conceptual and technical skills required for the ultimate position in the analytics industry. 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. The course introduces the participant to business analytics using excel and then slowly transitions us to the most in-demand analytics technologies – R, SAS and Python– and teaches implementation of various data science concepts such as data exploration, visualization, and hypothesis testing. Special focus has been placed on predictive analytics like regression, clustering, and smoothening techniques. The entire learning experience is tied together with demos and a final project. After completing all aspects of the training you will be well placed to take up the role of data scientist with the analytics team of your target organization. The course is a package of over 100+ hours of instructor-led online classes and 200+ hours of e-learning. Once you meet the requirements of the program, you will receive a... [-]


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.... [-]


Master In Big Data And Data Science

VIU Valencian International University
Online Full time 1 year October 2018 Spain Barcelona

The Master in Big Data and Data Science, aims to provide students with a broad and comprehensive set of skills in three key dimensions: [+]

Information flows circulating in the world are mostly digital order. Due to the exponential growth of computing capabilities, for a few years, analysis and exploitation of data that companies generate and states it has become imperative if they are to be competitive in a globalized world.

Efforts by companies to attract professionals with training in this field are constant. The defendants profiles correspond to professionals providing a multidisciplinary profile (made in technology and computer science, statistics, artificial intelligence, operations research, management and marketing) and are able not only to manage large volumes of data, but to treat them properly and extract from them a flow of knowledge directly applicable to making strategic decisions.... [-]


Web Master SEO And Search Engine Optimization

IEBS - Escuela de Negocios de la Innovación y los Emprendedores
Online Full time 750 hours October 2018 Spain Barcelona

The Master SEO and Search Engine Optimization Web responds to the strategic and tactical need for companies to introduce the SEO in your digital marketing plan in order to increase their visibility and control their organic search engine rankings. [+]

The Master SEO and Search Engine Optimization Web responds to the strategic and tactical need for companies to introduce the SEO in your digital marketing plan in order to increase their visibility and control their organic search engine rankings.

This has led to increased demand for qualified professionals in the design and implementation of SEO strategies that have a high strategic and analytical capacity and performance have updated the search engine algorithms with existing resources knowledge.

You will learn in the Master needed to run the development phases of an SEO strategy hand active professionals most recognized and thanks to a practical learning methodology where you conviertirás a professional SEO from day knowledge.... [-]


Master Web Analytics, Usability And User Experience (ux)

IEBS - Escuela de Negocios de la Innovación y los Emprendedores
Online Full time 600 hours October 2018 Spain Barcelona

In the Master in Web Analytics, Usability and User Experience (UX) you formed to monitor, measure and improve investment company through a plan of action and continuous improvement, covering the art and science of achieving success through the data, usability and conversion to drive change in online business. [+]

The boom and professionalization of the digital sector along with increased competition in sectors such as the "mobile" or "e-commerce" force companies to monitor, measure and optimize the advertising process and buying in each of its stages, and turn each visit into a business opportunity by offering memorable experiences.

In order to solve these problems and with the sole objective of improving results emerge new professional profiles such as digital analyst and conversion optimizer (CRO) and user experience (UX).

In the Master in Web Analytics, Usability and User Experience (UX) you formed to monitor, measure and improve investment company through a plan of action and continuous improvement, covering the art and science of achieving success through the data, usability and conversion to drive change in online business.... [-]