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If you are passionate about Data Science and are willing to pursue an advanced degree, then a Doctor of Philosophy or PhD may be the right career choice. Career opportunities in Data Science are growing at a fast pace. Therefore, enrolling for a PhD in Data Science program can be the right move to unlock the doors to a successful career. So, let’s get started and get to know what it involves, the best universities to enrol in, and more.

Key Highlights

  • PhD in Data Science: Course highlights
  • Best universities to pursue PhD in Data Science
  • Admission requirements for PhD in Data Science
  • Popular career avenues after a PhD
  • Quick tips for a smooth transition from PhD to Data Scientist’s job role


PhD in Data Science: Course highlights

Data Science is the study of a large volume of structured and unstructured data to extract meaningful information. PhD in Data Science is an interdisciplinary field combining Mathematics, Statistics, and Computer Science principles. The curriculum trains the students on the methods to deduce conclusions from big and heterogeneous data and even develops competencies in software development, data engineering, data ethics and policies, etc. During the study program, students will:

  • Acquire the skills and knowledge required to conduct thorough research in their chosen field to solve real-world problems using Data Science methods.
  • Apply both theoretical and practical knowledge of data models.
  • Develop proficiency in designing advanced statistical and mathematical models for data extraction.
  • Recognise the broad application of Data Science models and methods.
  • Recognise legal and ethical issues related to Data Analytics and their impact on organisations and society.

Students can excel in their careers by preparing their dissertations in their chosen research area and capturing new findings in the existing domain. Moreover, they can hone their communication and critical thinking skills by acting as teaching assistants for students enrolled in master’s degree programs in Data Science.


Duration
  • 3-5 years (full-time)
  • 5-7 years (part-time)

Subjects covered

  • Big Data Management
  • Data Analytics and Mining
  • Data Access and Management
  • Business Intelligence
  • Integrative Data Science

Areas of Research

  • Machine Learning
  • Artificial Intelligence
  • Ethics, Security, and Privacy in Data Science
  • Data Visualisation


Best universities to pursue PhD in Data Science

The Data Science programs of some of the developed countries have received global recognition. Moreover, PhD in Data Analytics and Data Science graduates have a high employment rate. The state-of-the-art infrastructure facilities and excellent research outcomes contribute significantly in making them a learned scholar. Here is the list of the countries and their respective universities offering PhD in Data Science:

Countries

Universities

The USA

  • Stevens Institute of Technology
  • Indiana University
  • University of Virginia

The UK

  • University of Oxford
  • University of Essex
  • University of East London

Canada

  • The University of British Columbia
  • HEC Montreal
  • University of Waterloo

Australia

  • Monash University
  • The University of Sydney
  • The University of Melbourne

Ireland

  • University of Galway
  • University of Limerick
  • Maynooth University


Admission requirements for PhD in Data Science

To pursue a PhD in any of the reputed international universities, meet the following eligibility criteria:

  • A master’s degree in Data Science, Data Analytics, or related field
  • Academic transcripts (degrees and certificates)
  • English language test scores of the International English Language Testing System (IELTS) or Test of English as a Foreign Language (TOEFL)
  • Graduate Record Examinations (GRE)/Graduate Management Admission Test (GMAT)
  • Letters of Recommendation (LOR)
  • Statement of Purpose (SOP)
  • Resume
  • Work experience

Popular career avenues after a PhD

Exceptional career growth, endless career opportunities, and impressive salaries are some of the perks of pursuing a PhD in Data Science. The top companies that hire PhD Data Science graduates are IBM, Wipro, HCL, Jacobs, Microsoft, etc. Students can take up the role of Researchers and Professors in organisations, government institutions, and universities. Else, they can explore career options such as:

  • Senior Data Scientist
  • Business Analysts
  • Big Data Developer
  • Data Engineer
  • Data Science Consultant
  • Computer and Information Research Scientist
  • Quick tips for a smooth transition from PhD to Data Scientist’s job role:

    • Master your technical skills like principles of Mathematics, Statistics and Computer Science, study Data Structures and Algorithms from different sources, and possess sound knowledge of SQL, Python, etc.
    • Develop creativity, critical thinking, and other soft skills during the course.
    • Build well-maintained professional connections with industry members, professors, and peers to explore career-related opportunities.

So, start planning your academic journey to your favourite overseas destination to pursue a PhD in Data Science. If financial challenges are bothering you, opt for an education loan. At Avanse Financial Services, we offer customised education loans with benefits like multiple repayment options, 100% finance, and fast loan sanctions. For getting information about how to use a loan eligibility checker, get in touch with us today!

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