Ph.D. in Decision Science
Education goes beyond textbooks and classrooms. We believe in empowering students to explore their passions challenge conventions.
Master the science of decision-making with a Ph.D. in Decision Science, a research-driven doctoral program designed to develop expertise in data analytics, business intelligence, statistical modeling, and AI-driven decision making.
This program equips professionals with advanced skills in predictive analytics, machine learning, optimization techniques, and data-driven strategy, enabling them to make impactful business decisions in complex environments.
Earn the prestigious “Dr.” title and become a leader in data science, analytics, and strategic decision making.
Program Highlight
About Programs
The Ph.D. in Decision Science is an advanced doctoral program in data science and business analytics, designed for professionals, analysts, consultants, and researchers who aim to build expertise in data-driven decision making, quantitative analysis, and AI-powered business strategy.
This program focuses on statistical modeling, operations research, machine learning, business analytics, and optimization, enabling candidates to solve complex problems across industries such as finance, healthcare, marketing, and operations.
Ph.D. in Decision Science (24-36 Months)
Intake: 2026- 2027
Typical Program Structure
The Ph.D. in Decision Science follows a research-driven structure beginning with advanced coursework in data analytics, statistics, and research methodology, followed by research proposal development and literature review. Candidates then engage in independent research and data analysis, focusing on real-world business and analytical challenges. The program concludes with doctoral thesis development, publication, and final defense, preparing scholars to become experts in data-driven decision making.
- Duration: 24-36 Months (Online)
- Total Credits: Varies by institution (e.g., 60-120 credits).
- Structure: Advanced coursework in data science, analytics, and decision modeling, followed by independent research, data-driven analysis, and doctoral thesis development
Core Curriculum Topics
Data Analytics & Business Intelligence
- Study of data analysis, dashboards, and business insights generation.
Optimization & Operations Research
- Methods for solving complex business problems using optimization techniques.
Risk Analysis & Decision Modeling
- Evaluation of risk, uncertainty, and strategic decision frameworks.
Big Data & Data Management
- Handling large datasets and data processing techniques.
Doctoral Thesis / Independent Research
- Development of original research in decision science.
Curriculum Overview
A comprehensive Ph.D. curriculum in decision science covering data analytics, machine learning, optimization, and business intelligence. The program emphasizes AI-driven decision making, predictive analytics, and data-driven strategies, preparing scholars for leadership roles in analytics and business strategy.
Curriculum Breakdown Summary
The curriculum of the Ph.D. in Decision Science begins with advanced coursework in data analytics, statistics, and AI, followed by a focused research phase. Candidates develop expertise in machine learning, optimization, and decision modeling, and then move into independent research and thesis development addressing real-world data challenges. The program concludes with doctoral thesis submission, research publication, and final defense.
| Regular Students | Required Credits |
|---|---|
| Data Analytics & Decision Modeling | 25 Credits |
| Research Methodology & Statistical Analysis | 20 Credits |
| Machine Learning & AI Applications | 20 Credits |
| Optimization & Business Strategy | 15 Credits |
| Doctoral Thesis / Independent Research | 30 Credits |
Our Alumni
Dr. Ronald M. Gharib
Doctorate in Business Administration, Strategic Management
Dr. Shiv Kumar Dadar
Doctorate Holder in AI & Business Strategy domain
Dr. Jeegnesh Trivedi
Honorary Doctorate, Education
Dr. Prannay G Sharma
Honorary Doctorate, Sales and Leadership
Dr. Hariraj Chouhan
Honorary Doctorate in Management
Dr. Laksh Narayanan G.
Doctor of Philosophy - PhD, Human Resources Management and Services
Dr. Gautam Kumar
Honorary Doctorate In Business Administration
Dr Ninad Waaykole
Doctorate , Automotive AI EngineeringProgram Cost
The Ph.D. in Decision Science is a premium doctoral program offering strong ROI through career opportunities in data science, analytics, AI, and business strategy.
| Progarm | Fee for International Students | Fee for Indian Students | Scholarship | Zero Cost EMI's | Payment Modes |
|---|---|---|---|---|---|
| Ph.D. in Decision Science | $ 22,500/- | 5,99,999/- | Upto 40% | 12 Months | NEFT/Payment Gateway |
Apply Now
Take the next step toward becoming a Doctorate-level expert in data-driven decision making. Apply now for the Ph.D. in Decision Science and gain expertise in analytics, AI, machine learning, and business strategy.
Requirements and Deadlines
The Ph.D. in Decision Science requires a master’s degree in data science, business analytics, statistics, or a related field. Candidates should have an interest in data analysis, machine learning, and decision modeling. The admission process includes an online application, academic documents, SOP, and resume, followed by screening. Admissions are open year-round with limited seats, and early applicants may benefit from scholarships and flexible payment options, making it a leading online PhD in decision science.