Instructor: Acharya Academy
(20 Reviews)
The PhD in Data Science is a research-driven doctoral program focused on developing expertise in data analytics, machine learning, artificial intelligence, big data, and statistical modeling. This interdisciplinary program is ideal for scholars who want to create innovative algorithms, optimize data-driven decision-making, and contribute to cutting-edge research in data science.
At Acharya Academy, students gain access to expert mentorship, real-world datasets, and advanced computing infrastructure to explore problems across industries like finance, healthcare, education, logistics, and more.
Duration: 3–5 years
Mode: Full-time
Eligibility: Master’s Degree in Data Science, Computer Science, Statistics, Mathematics, or related field with a minimum of 55% marks
Educational Qualification:
Master's in Data Science, Computer Science, Mathematics, Engineering, or Statistics
Required Documents:
Master’s Degree Certificate
Academic Transcripts
Statement of Purpose (SOP)
Detailed Research Proposal
Letters of Recommendation
Updated Resume/CV
Ideal Candidate Traits:
Strong mathematical and programming skills
Research experience in AI/ML or statistics
Passion for solving real-world problems with data
Familiarity with Python, R, SQL, and data tools
PhD holders in Data Science are in high demand in both academia and industry, particularly in research-intensive and leadership roles.
Job Roles:
Lead Data Scientist
Machine Learning Engineer
AI Research Scientist
Chief Data Officer
Data Science Professor
Quantitative Analyst
Industries & Sectors:
Information Technology
Healthcare and Bioinformatics
Financial Services and Banking
E-commerce and Retail
Government and Defense
Academia and Think Tanks
With the global surge in data generation, a PhD in Data Science positions you to drive innovation in AI, automation, and analytics. Scholars often lead AI startups, publish high-impact research, or hold key roles in shaping data policy and ethical AI development.