Instructor: Acharya Academy
(20 Reviews)
The PhD in Business Analytics is an advanced research-focused program designed to develop scholars and industry leaders in the field of data-driven decision-making. It combines statistics, data science, machine learning, and business strategy to solve complex business challenges.
At Acharya Academy, this program empowers students to contribute original research in predictive modeling, optimization, big data, AI applications in business, and more, preparing them for academic, consulting, or corporate roles.
Duration: 3–5 years
Mode: Full-time
Eligibility: Master’s in Business Analytics, Data Science, Statistics, Computer Science, or related fields with minimum 55% marks
Educational Background:
Master’s degree in Business Analytics, Statistics, Engineering, Economics, Computer Applications, or MBA with a focus on analytics
Documents Required:
Academic transcripts
Statement of Purpose (SOP)
Detailed Research Proposal in a relevant topic (e.g., AI in marketing, supply chain analytics)
CV/Resume
Letters of Recommendation (2)
Technical Skills Preferred:
Proficiency in Python, R, SQL, or SAS
Strong foundation in statistics and machine learning
Familiarity with business intelligence tools (Power BI, Tableau)
Knowledge of cloud and big data technologies is a plus
Graduates of this program can pursue prestigious roles in academia, data strategy, and analytics leadership.
Potential Careers:
University Professor / Researcher
Chief Data Officer (CDO)
Business Intelligence Consultant
Data Scientist in Corporates or Startups
Analytics Lead in Government/NGOs
Researcher at Think Tanks or Analytics Labs
Industry Sectors:
E-commerce
Financial Services
Healthcare Analytics
Manufacturing & Supply Chain
Consulting & Market Research Firms
With businesses becoming increasingly data-driven, there is a huge demand for experts who not only understand analytics but can also contribute original research. A PhD in Business Analytics positions you at the intersection of business insight and technical expertise.