Part time Master's Degree in Data Science

See Part time Masters Programs in Data Science 2019

A masters is earned after students complete an undergraduate degree program. To obtain a masters, you usually need to complete 12 to 18 college courses that often involve completing comprehensive tests and/or a thesis.

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Postgraduate Master in Data Science

U-TAD Centro Universitario De Tecnología Y Arte Digital
Online Campus Part time 300 hours October 2019 Spain Madrid + 1 more

Learn in the pioneer center in Data Science training the techniques of Machine Learning, Processing, Analysis and Visualization of large amounts of data. [+]

Call: October 2019 (limited places)Location: Campus U-TAD / Online liveHours: Friday and SaturdayDuration: 300 hoursLanguage: SpanishModality: In-person / Online live

LEARN TO EXTRACT ALL THE VALUE THAT IS IN THE DATA

Learn in the pioneer center in Data Science training the techniques of Machine Learning, Processing, Analysis and Visualization of large amounts of data.

Become a data scientist capable of contributing to the decision making in a company efficiently, applying analytical techniques to specific business problems.

Microsoft chooses U-tad for its first Datathon in Spain

Microsoft Datathon

Referent in training in Big Data

Álvaro Fernández Velando - Chief Risk Data Officer at Banco Santander... [-]


Master in Data Science

U-TAD Centro Universitario De Tecnología Y Arte Digital
Online Campus Part time 600 hours October 2019 Spain Madrid + 1 more

Learn in the pioneer center in training in Data Science, Big Data and Analytics from the hand of the best professionals in the industry. Lead the most innovative projects in the current market using the latest technologies. [+]

Call: October 2019 (limited places)Location: Campus U-TAD / Online liveHours: Thursday, Friday and SaturdayDuration: 600 hoursLanguage: SpanishModality: In-person / Online live

BECOME AN EXPERT IN BIG DATA ARCHITECTURES AND MACHINE LEARNING

Learn in the pioneer center in training in Data Science, Big Data and Analytics from the hand of the best professionals in the industry. Lead the most innovative projects in the current market using the latest technologies.

This Master will allow you to know the world of Big Data from a practical point of view: from the storage and processing of data and architectures used in the industry, the resolution of complex business problems through the techniques of Machine Learning to the Visualization and communication of results for strategic decision making in companies. You can also choose between two specialization itineraries: a Big Data Architecture Itinerary , more focused on infrastructures, and a Data Science Itinerary , which delves into the techniques of Data Analysis.... [-]


University of Illinois Master of Computer Science in Data Science

Coursera
Online Part time 24 - 36  September 2019 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's Degree in Analysis and Visualization of Massive Data / Visual Analytics

UNIR
Online Part time 1 year November 2019 Spain Logroño

The Master in Big Data online will train you as a professional of BIG DATA, one of the most demanded professions in 2018 according to the Wanted of the Adecco Group, capable of designing and implementing systems that monitor a process, extract relevant information from it and communicate it eloquently and efficiently. [+]

Take your Master in Big Data online at UNIR

The Master in Big Data online will train you as a professional of BIG DATA, one of the most demanded professions in 2018 according to the Wanted of the Adecco Group , capable of designing and implementing systems that monitor a process, extract relevant information from it and communicate it eloquently and efficiently.

This master's degree in Visual Analytics and Big Data delves into the most cutting-edge technologies of Big Data and Machine Learning :

Data capture and storage: Management and data processing with MongoDB.Artificial Intelligence Techniques: clustering techniques and design of expert systems capable of inferring new knowledge.Engineering for the Massive Processing of Data (Machine Learning): Hadoop Tools and Data Analysis and text mining with R.Visualization tools: Google Charts, JQuery plug-ins, for visualizations and D3.js... [-]

Data Scientist Masters Program

Simplilearn
Online Part time Open Enrollment USA USA Online

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 R, SAS, Python, Big Data on Hadoop and implement concepts such as data exploration, regression models, hypothesis testing, Hadoop, and Spark. [+]

Best Part time Masters in Data Science 2019. 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? ... [-]

Master of Data Science and Innovation

University of Technology Sydney
Campus Part time 2 - 4 years January 2019 Australia Sydney

The Master of Data Science and Innovation is a world-leading program of study in analytics and data science. Taking a transdisciplinary approach, the course utilises a range of perspectives from diverse fields and integrates them with industry experiences, real-world projects and self-directed study, equipping graduates with an understanding of the potential of analytics to transform practice. The course is delivered in a range of modes, including contemporary online and face-to-face learning experiences in UTS's leading-edge facilities. Work experience/industry placement is an important component of the course. [+]

This course has been developed as a response to a global talent gap for people with data science knowledge, as identified and reported by the McKinsey Global Institute study (2011). The study predicted a shortfall by 2018 of nearly 200,000 data scientists and 1.5 million managers with the capability to make decisions using big data in the United States alone. The dramatic growth of data in every conceivable industry, from oceanography to market research, presents another major driving force in generating unprecedented global demand for data science skills.

The course prepares students to participate in a variety of emerging careers with the growth of data science – data griot, data analyst, data artist, data journalist, mobile behaviour analyst, data-driven policy expert, advertising insight and online community manager, to name a few. While other offerings also provide the basis for these careers, this course provides an additional level of expertise, targeting professionals who have the desire to lead teams and organisations at the chief executive level.... [-]


Masters in data management and technological innovation

OBS Business School
Online Part time 12 months May 2019 Spain Barcelona Madrid + 1 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 ... [-]

Master Management & Data Science

Leuphana University of Luneburg
Campus Part time 4 - 8 semesters October 2019 Germany Lüneburg

The Master's Programme in Management & Data Science is geared towards students wanting to advance their skills in the data analysis of real-world phenomena. After completion of this programme, our graduates have the ability to analyze massive and complex data sets, design statistical models based on the latest in information technology. The programme is designed to meet the fast-growing demand for data scientists in business, public administration, and research. [+]

The Master's Programme in Management & Data Science is geared towards students wanting to advance their skills in the data analysis of real-world phenomena. After completion of this programme, our graduates have the ability to analyze massive and complex data sets, design statistical models based on the latest in information technology. The programme is designed to meet the fast-growing demand for data scientists in business, public administration, and research.

CONTENTS AND IDEA

The rapid economic and technological transformations occurring in the global economy and the transition from an industrial to a knowledge-based economy confront corporate leaders with new challenges. The rising flood of data associated with the dynamic complexity of today’s business environment can no longer be handled by traditional methods and a manager’s personal experience alone. This degree programme delivers interdisciplinary learning and research opportunities, that allows students to gain application-oriented knowledge for practical management solutions. Through the integration of management, data analysis and information systems knowledge, students will be able to develop the latest in innovative solutions for managing information-driven organizations.... [-]


Intensive Master in Data Science

Nuclio Digital School
Campus Part time 16 weeks April 2019 Spain Barcelona

Developed a state-of-the-art curriculum and expert instructors for our 16-week full-time immersion program [+]

Good decisions are always based on data

Develop your expertise in data science by leveraging real-world datasets and learning from industry experts with a Python-based curriculum. Master the relevant tools and techniques to solve real business problems and advance your career today.

Get real results

Our career team helps you identify your strengths, refine your goals and connect you with the more than 200 Nuclio partners to turn your professional aspirations into a reality.

Expert knowledge

Solve problems together with high performance students with diverse backgrounds in science, data analysis, engineering, mathematics and more. Create meaningful connections, meet potential employers and join a community of lifelong learners.... [-]


Master of Data Science

The University of Western Australia
Campus Part time 18 - 24 months January 2019 Australia Crawley

Gain the skills to tackle big data challenges and compete in the digital realm. [+]

A rapidly expanding field that shows no sign of slowing. Big data and analytics now drive and inform strategic decision making and innovation whether it is in relation to engineering, finance, health or other professional areas. The challenge for organizations around the world is how to harness ever-increasing volumes of data as an asset.

The Master of Data Science provides students with the knowledge and skills to understand and apply appropriate analytical methodologies to transform the way an organization achieves its objectives, to deal effectively with large data management tasks, to master the statistical and machine learning foundations on which data analytics is built, and to evaluate and communicate the effectiveness of new technologies.... [-]