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.
The IDIC offers a fully funded four-year PhD programme in either the area of digital economy or energy technologies. [+]
The Horizon Centre for Doctoral Training offers 10-20 places on the four-year research programme, My Life in Data, which focuses on researching personal data and the traces we leave behind. This data is now a major business and societal asset and can reveal a wealth of information about our habits, behaviors, preferences, relationships, and emotions.Programme overview
The PhD programme accepts applicants from a wide range of backgrounds including computer science, engineering, mathematics, human factors, psychology, sociology, business, geography, social science and the arts.
The course consists of taught modules, annual summer schools, retreats and a three-month internship taken with one of the CDT’s partners organizations.... [-]
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. [+]
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.... [-]
The Big Data Institute (BDI), Shenzhen University was found in 2013, which is a core part of collaborative innovation center between Guangdong province and Hong Kong. Currently, BDI has over twenty academic staff including 1 IEEE fellow, 6 full professors, 4 associate professors and 2 post-doctoral fellows. [+]
Shenzhen is a renowned special economic zone in China, adjacent to the two international metropolises – Hongkong and Macao. It is one of the cities with the most developed economy and it plays a leading role in the cause of modernization and internationalization.
Shenzhen University, as one of the most popular universities in China with fast growth, distinctive characteristics and huge potential, is now accelerating its pace toward the top-ranking university with high level research, excellent knowledge and innovation.
The Big Data Institute (BDI), Shenzhen University was found in 2013, which is a core part of collaborative innovation center between Guangdong province and Hong Kong. Currently, BDI has over twenty academic staff including 1 IEEE fellow, 6 full professors, 4 associate professors and 2 post-doctoral fellows.... [-]
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 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 discriminantal sets. Other examples include the study of multidimensional difference equations, analytic continuation of functions and sets.... [-]