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PhD in Behavioral Economics and Decision Science

PhD in Behavioral Economics and Decision Science

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PhD in Behavioral Economics and Decision Science
Overview

This PhD program focuses on topics such as behavioral insights, decision modeling, market dynamics, and policy applications. Students will develop skills to design experiments, analyze data, and contribute to advancements in economic theory and practical applications in decision-making.

Duration: 3 to 5 years (Full-time or Part-time).
Learning Method: Online, face-to-face, or hybrid.
Objective:  To produce experts in behavioral economics capable of shaping policy, business strategies, and research innovations.

Minimum qualification: Completion of a Master’s degree in economics, psychology, behavioral science, or a related field.

Recommended Background: Interest in economic decision-making, behavioral science, or public policy. Familiarity with statistical analysis, game theory, or experimental design is beneficial. Research experience in economics, psychology, or related disciplines is an advantage.

1. Interdisciplinary Approach: Combines insights from economics, psychology, and data science.
2.
 Policy and Industry Relevance: Apply research to real-world challenges in public and private sectors.
3. Advanced Research Skills: Training in experimental design, econometrics, and behavioral modeling.
4. Global Research Opportunities: Collaborate with international experts and organizations.

1. Behavioral Insights Mastery: Understand the psychological drivers of decision-making.
2. Economic Modeling Proficiency: Develop and apply models that predict and explain behaviors.
3. Policy and Strategy Impact: Translate research findings into actionable policies and business strategies.
4. Research Leadership: Conduct innovative research that advances the field of behavioral economics.

Graduates can work in roles such as:
1. Behavioral Economist
2. Decision Science Consultant
3. Policy Advisor in Government Agencies
4. Market Research Analyst
5. Academic Researcher or Professor
6. Behavioral Insights Specialist

Industries: Consulting firms, public policy organizations, research institutions, financial services, marketing agencies, and tech companies.

Module Guide

1. Foundations of Behavioral Economics: Key theories and principles of decision-making.

2. Experimental Methods in Behavioral Research: Designing and conducting behavioral experiments.

3. Psychology of Choice: Understanding cognitive biases and heuristics.

4. Econometric Analysis: Tools for analyzing complex data in behavioral research.

1. Game Theory and Strategic Decision-Making: Modeling interactions and strategic behaviors.

2. Behavioral Insights in Public Policy: Applications of behavioral science to policy-making.

3. Big Data and Behavioral Analytics: Using data science tools to study decision behaviors.

4. Research Proposal Development: Developing a comprehensive plan for dissertation research.

1. Advanced Research: In-depth investigation into a specialized topic in behavioral economics.

2. Field Studies and Policy Experiments: Applying theories in real-world scenarios.

3. Dissertation Defense: Present and defend research findings to an academic panel.

Certification

Graduates earn a Doctor of Philosophy (PhD) in Behavioral Economics and Decision Sciencerecognized internationally and signifying advanced expertise in the field.

As part of the curriculum, students will have the opportunity to earn industry-recognized certifications in applying behavioral insights in business, decision modeling and analytics, and more .

Course Fees

Fees for domestic students are $20,000 per year. The cost reflects the comprehensive learning resources, industry exposure, and high-quality education provided. Flexible payment plans and installment options are available.

For international students are $25,000 per year. These fees include access to advanced marketing tools, global networking opportunities, and a supportive international student environment.

Limited scholarships and research grants are available for eligible candidates based on academic merit and research proposals.

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