Doctorate Degrees in Data Science

Compare 5 PhD Programs in Data Science

A Doctor of Philosophy, which is a type of doctoral degree, can be pursued by graduates with a master’s degree. A PhD can focus on any field and usually requires a dissertation. It can take five to six years to complete this course of study.

What is a PhD in Data Science? This type of program is often designed to prepare students to advance the research done in data science. In order to prepare students for this lofty goal, a doctoral program in data science integrates research projects, dissertations and high-level courses. Much of students’ time may be spent doing work on their dissertation, but some courses may also be required. Depending on the school attended, a student might have to take classes such as machine learning and computational statistics, big data, probability and statistics for data science, and inference and representation.

Earning this degree is beneficial because it can give students the research skills needed to make an impact in their field of choice. A PhD could also lead to a higher salary and more job opportunities.

The cost of a PhD can vary greatly from one university to the next. Factors that often affect tuition include the location of the school, the coursework per semester and the duration of the program. Students can get an estimate by contacting the school they want to attend.

Once a student has finished a PhD in Data Science, he or she might be ready for a career at a research institution or in academia. Some students have gone on to become executive managers of data scientists, directors of data engineering, analytics managers and database administrators at companies looking for experts in understanding big data. Previous experience and other education can play a role in the type of job a graduate can get after graduation.

Does this education interest you? Do some research to find a school with a program that fits your needs, and apply. 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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PhD in Multidimensional Complex Analysis

Siberian Federal University
Campus Full time 4 years September 2019 Russia Krasnoyarsk

Research in multidimensional complex analysis at Siberian Federal University is about several topics. The overarching theme is the interaction between complex analysis and other areas of mathematics and physics. [+]

Research in multidimensional complex analysis at Siberian Federal University is about several topics. The overarching theme is the interaction between complex analysis and other areas of mathematics and physics. For example, methods and techniques of functional analysis are applied to the study of PDEs in domains of complex space. Algebraic geometry plays an important role in the study of the distribution of complex algebraic and analytic sets and its applications in physics. Alternatively, analytic methods are used in the theory of algebraic and hypergeometric functions, in the description of the structure of discriminant sets. Other examples include the study of multidimensional difference equations, analytic continuation of functions and sets.... [-]


PhD Information Systems & Data Management

Botswana International University Of Science And Technology
Campus February 2019 Botswana Palapye

PhD Thesis Research in Information Systems & Data Management [+]

PhD Thesis Research in Information Systems & Data Management

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PhD in Developing and Evaluating

OUS Royal Academy of Economics and Technology in Switzerland
Online Full time Part time 3 years Open Enrollment Switzerland Zürich + 1 more

The Ph.D. in Developing and Evaluating quality plans is a strong qualification which is more related to the theories that show relevance with theories that relate with development as well as the evaluation of plans related to quality.

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3 TOP UNIVERSITIES = 1 EUROPEAN DOCTORATE All students will have in addition to ABMS Switzerland Doctorate a Joint Doctorate with University of D?browa Górnicza (WSB) and Taras Shevchenko National University (KNU). ABMS is certified by EFMD EOCCS, the Swiss National Quality for Education (EduQua) and ASIC UK. WSB Is a European state-recognized university and KNU is a European public University founded 200 years ago and ranked among top 500 universities in the world. 3 Top European Universities = Best Virtual/Online Program = 1 Top European Doctorate SWITZERLAND + EU + TOP RANKED 500 The Ph.D. in Developing and Evaluating quality plans is a strong qualification which is more related with the theories that show relevance with theories that relate with development as well as the evaluation of plans related with quality. There is a decent demand of professionals who have obtained this qualification because the need for development as well as evaluation by experts is always present. Students are guided by various concepts and theories that can help in getting the best outcomes in the field of research and business. An important point to mention here is that evaluation plan normally specifies that what will actually be evaluated, aim as well as criterion that has been set for evaluation, primary questions related with evaluation, the manner in which data is gathered, methods associated for the collection of data, analyzing, reporting as well as synthesizing data. In these programs, logical models are also included. The evaluation framework is known for... [-]


Doctorate in Strategic Information Systems Analysis

OUS Royal Academy of Economics and Technology in Switzerland
Online Full time Part time 2 - 6 years Open Enrollment Switzerland Zürich + 1 more

Information technology (IT) is a strategic asset that is being used to mold competitive strategies and change organizational processes.

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3 TOP UNIVERSITIES = 1 EUROPEAN DOCTORATE All students will have in addition to ABMS Switzerland Doctorate a Joint Doctorate with University of Dąbrowa Górnicza (WSB) and Taras Shevchenko National University (KNU). ABMS is certified by EFMD EOCCS, the Swiss National Quality for Education (EduQua) and ASIC UK. WSB Is a European state-recognized university and KNU is a European public University founded 200 years ago and ranked among top 500 universities in the world. 3 Top European Universities = Best Virtual/Online Program = 1 Top European Doctorate SWITZERLAND + EU + TOP RANKED 500 Information technology (IT) is a strategic asset that is being used to mold competitive strategies and change organizational processes. As IT and its uses become more complex, developing strategies and systems to deliver the technology has become more difficult. The net result is a growing need for guidance on the issues, strategies, and tactics for managing the use of information technology. This unit is designed to cover various issues, strategies, and tactics and to enable students to integrate concepts and theories learned during the previous study or in their careers to date. This unit provides an overview of the responses required by organizations to manage the transition to an e-commerce/e-business environment supported by new technology. It will help to develop a critical understanding of the problems and opportunities faced by organizations in effectively planning, developing and managing information systems (IS). It incorporates strategic management concepts to ensure that IS development supports the business strategy and progresses... [-]


Doctor of Philosophy in Analytics and Data Science (Ph.D.)

Kennesaw State University
Campus Full time 4 years September 2019 USA Kennesaw

Our Ph.D. program is traditional and innovative - applied and theoretical, a Ph.D. for the 21st century. Real-world application, with real-world data, drives our student's learning process. Take a glimpse at some of the exciting findings our students have uncovered as they apply their learning. [+]

Doctor of Philosophy (Ph.D.) in Analytics and Data Science

Kennesaw State University's Ph.D. in Analytics and Data Science is an advanced degree which has been developed to meet the market demand for Data Scientists.

This degree will train individuals to translate large, structured and unstructured, complex data sets into information to improve decision making. This curriculum includes a heavy emphasis on programming, data mining, statistical modeling, and the mathematical foundations to support these concepts. Importantly, the program also emphasizes communication skills - both oral and written - as well as application and tying results to business and research problems.

Because this degree is a Ph.D., it creates flexibility. Graduates can either pursue a position in the private or public sector as a "practicing" Data Scientist - where continued demand is expected to greatly outpace the supply - or pursue a position within academia, where they would be uniquely qualified to teach these skills to the next generation.... [-]