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 Computer Science (DCC)

Tecnológico de Monterrey
Campus Full time 8 semesters July 2017 Mexico Monterrey Mexico State + 1 more

PhD in Computer Science is aimed at professionals with Masters degree in areas of computer science, engineering and exact sciences mainly interested in conducting high-impact research to contribute to the knowledge of any of the specialty areas of Computer Science. [+]

PhDs in Data Science. Description By its nature, the doctorate is multidisciplinary field, covering three areas of knowledge that have been selected from the research with greatest strength in the School of Engineering and Science. These areas interact with each other through projects, centers and focus groups. Lines of Generation and Application of Knowledge of the program are: Bioinspired (Bio-inspired Algorithms) systems Machine learning models (Machine Learning) Applied Science and Math Data (Data & Computational Science) Bursaries The PhD in Computer Science It is aimed at professionals with Masters degree in areas of computer science, engineering and exact sciences mainly interested in conducting high-impact research to contribute to the knowledge of any of the specialty areas of Computer Science. The graduate program is national coverage currently offered in Monterrey and Mexico State campus. Lines of generation and application of knowledge The Master of Computer Science is aimed at professionals in areas of computer science, engineering and exact sciences mainly interested in conducting high-impact research to contribute to the knowledge of any of the specialty areas of Computer Science. Bioinspired (Bio-inspired Algorithms) systems. This line of research focuses on the development, extension and modification of algorithms and methods to solve complex problems systematizing solutions informal heuristics and mathematical models. Machine learning models (Machine Learning). This line focuses on researching computational learning models in order to predict or identify behaviors on a set of input data or examples that leads to better decision making. Data Science and Applied Mathematics (Data & Computational... [-]

PhD in Computer Engineering

Kadir Has University
Campus Full time September 2017 Turkey Istanbul

The Ph.D. programme in Computer Engineering offers to its graduate students opportunities in specializing in areas on which scientific and technological advances has increased recently, such as software engineering, algorithm analysis and design, parallel programming, computer networks, mobile applications and web services. [+]

The Ph.D. programme in Computer Engineering offers to its graduate students opportunities in specializing in areas on which scientific and technological advances has increased recently, such as software engineering, algorithm analysis and design, parallel programming, computer networks, mobile applications and web services. The medium of instruction is English. Why Computer Engineering Ph.D. Programme at KHAS? Upon the completion of the Ph.D. programme, our graduates continue their careers in academia or industry, where they can tackle open and challenging problems in computer science and engineering, equipped with a research- as well as application-oriented background which covers the sub-disciplines of computer engineering widely and their own specialization area deeply. [-]

PhD in Computer Science

University of Johannesburg
Campus Full time February 2018 South Africa Johannesburg

The purpose of the PhD in Computer Science is to provide qualifying students with an in-depth understanding and integrated knowledge of advanced applicable theory in the field of specialisation. [+]

PhDs in Data Science. The purpose of the PhD in Computer Science is to provide qualifying students with an in-depth understanding and integrated knowledge of advanced applicable theory in the field of specialisation. A PhD in Computer Science is a pure science based research study that requires candidates to demonstrate high-level research capability and make a significant and original academic contribution at the frontiers of the discipline of specialisation. The PhD in Computer Science demands a very high level of intellectual, theoretical and practical specialized science knowledge and insight into problems related to the field of study and of the application of advanced experimental methods and techniques of the modern research, as well as of fundamental scientific and academic values in generating, processing, interpreting and presenting research data orally and in written form. The General Rules for Doctorates are applicable. In addition a minimum result of 65% is required for the preceding Master’s Degree. [-]

Doctor of Philosophy in Computer Science

IUMW - International University of Malaya-Wales
Campus Full time 3 years October 2017 Malaysia Kuala Lumpur

The Computer Science Ph.D. programme prepares students in the highest level of theory and practice of Computer Science, aiding with the development of research and instruction skills for positions in academia, industry and other sectors. [+]

The aim of this programme are to produce scholarly graduates that are ready to become researcher, academician, consultant, specialist, entrepreneur and top management equipped with in depth specialisation and research skills. The programme shall develop graduates that are innovative and knowledgeable in the respective chosen field of study. The programme are also hoped to produce scholars that are aware of the sustainability issues that are pertinent in computer science and information technology and the wider global context. In general, IUMW will deliver a programme that is tailored to the scholarly need of computer science and technology, information science and technology in general with the principles of entrepreneurship, innovation and sustainability embedded into the DNA of the programme. Entry Requirements Malaysian Students: Master’s Degree accepted by the University Senate and/or other qualifications as approved by the University Senate International Students: Master’s degree accepted by the University Senate and pass IELTS with band 6 or better, or TOEFL with a minimum score of 550 Programme Structure Phase 1 Coursework Two core courses Research Process and Academic Writing Research Design and Methodology Phase 2 Proposal Defence Each student must present and defend his/her PhD research proposal. The student is only allowed to continue with his/her research to Phase Ill on passing of the defence of his/her proposal Phase 3 Data Collection and Thesis Preparation The student proceeds to his/her data collection, data analysis and thesis writing Phase 4 Viva Voce After submitting the thesis, the students is required to attend a Viva Voce... [-]

PhD in Multidimensional Complex Analysis

Siberian Federal University
Campus Full time 4 years September 2017 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. [+]

PhDs in Data Science. 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. Programme Leader Professor Tsikh worked at the universities of Stockholm, Bordeaux, Berlin, Calabria (Italy), Armidel (Australia), Max Planck Institute in Bonn, Institut Mittag-Leffler in Stockholm. Research interests: complex analysis, algebraic geometry, tropical geometry, signal processing, math- ematical physics (superstring theory, thermodynamics) Entry requirements: Master’s degree (or equivalent) in Mathematics, Physics, or Computer Science; desired qualifications: good knowledge of mathematical analysis; an adequate level of English proficiency (certificate or other document) Apply to The Centre for International Education and Certified Testing for a certificate if you do not have it, the Russian language preparatory course is available. Accommodation: On-campus accommodation is available: single ensuite room 45 € per month, twin ensuite room 30 € per month. Practicalities: Airport transfer, invitation letter for a Russian study visa and an optional survival course of Russian as a foreign language are provided... [-]