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DBA in Data Science/Business Analytics

ESDST's Doctorate of Business Administration in Data Science/Business Analytics focuses on creating business leaders with exceptional data-backed decision-making capabilities. The program aims at broadening mindset to review data sets and recommend meaningful solutions for various scenarios. It involves generating awareness on every step of statistical analysis including data cleaning, reliability assessment, and validity of data. This program specifically prepares students to design and execute quantitative research methodologies to solve real business problems. The key distinction is learning from practitioners at every stage, enabling a practical approach in gathering information, processing complex data, and analyzing it to suggest business solutions. The program follows a practitioner mentor-research scholar approach where each scholar is assigned an industry mentor.

English

Not specified

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  • Applications Deadline:

    Rolling admissions

  • Duration:

    36 Months

6,99,000

Overview

The Doctorate of Business Administration in Data Science/Business Analytics at ESDST is designed for professionals seeking to enhance their data analytics expertise and decision-making capabilities at an advanced level. This 36-month program delivered online with a 5-day on-campus component in Paris combines theoretical knowledge with practical applications in data science and business analytics. Students develop skills in quantitative research methodologies, data analysis, and implementing data-driven solutions for complex business problems. The program culminates in a doctoral thesis that addresses real-world business challenges through systematic data analysis. With guidance from industry mentors and practitioners, students gain invaluable insights into the practical applications of advanced analytics in business environments.

Why Business Administration (DBA / DBM)?

ESDST's DBA program offers unique advantages including an internationally recognized doctoral degree in specialized data fields, one-on-one guidance from industry mentors, practice-based experiential learning with real datasets, and a valuable 5-day bootcamp experience in Paris. The program follows a practitioner mentor-research scholar approach that bridges academic theory with practical business applications. Graduates gain alumni status of an international business school and can choose between two specialist areas - Data Science or Business Analytics - depending on their interests and experience. The program's flexible online delivery allows professionals to continue working while implementing their doctoral learnings in real-time.

What does this course have to offer?

Key Highlights

  • International Doctoral Degree from a Specialist School

  • Alumni Status of an International Business School

  • 2 Specialist Areas to Choose From

  • 1:1 Guidance from Industry Mentors

  • Practice Based Experiential Learning

  • 5 Days On Campus Bootcamp at Paris, France

  • 100% online delivery with all materials provided through e-campus

Who is this programme for?

  • Working professionals seeking advanced knowledge in data science or business analytics

  • Business leaders looking to enhance data-backed decision-making capabilities

  • Professionals aiming to solve complex business problems through systematic data analysis

  • Individuals interested in conducting quantitative research in business contexts

  • Practitioners looking to combine academic knowledge with practical industry applications

Minimum Eligibility

Master's Degree or equivalent in any discipline OR Bachelor's degree with minimum 3 years of relevant professional work experience. English Proficiency - Medium of instruction during school and graduation should be English.

Degree Course Image
  • Applications Deadline:

    Rolling admissions

  • Duration:

    36 Months

6,99,000

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.