Earn the most prestigious title in your career and develop leadership skills suited to today’s global business challenges. This online DBA program empowers you to innovate and lead at the highest levels.
Doctorate
Mar 31, 2025
36 Months
This course was designed to empower experienced professionals with advanced knowledge and research skills to enable them to drive innovation. Upon completion, learners will be awarded an DBA degree from Euro Asian, Geneva.
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Doctor Degree in Business Administration
1. Principles of Epidemiology
Understand the strengths, limitations, and applications of cohort, case-control, and cross-sectional study designs. Learn how to select the appropriate design based on research objectives, exposure-outcome relationships, and timeframes. Focus on bias control, sampling methods, data collection, and interpretation to ensure valid, reliable, and impactful public health and epidemiological research.
Understanding measures of disease frequency and association is vital in Public Health & Epidemiology to quantify how often diseases occur (incidence, prevalence) and identify relationships between exposures and outcomes (risk ratios, odds ratios). These tools enable evidence-based decision-making, guide interventions, and support causal inference in population health research.
Understanding bias, confounding, and effect modification is crucial for designing valid studies, interpreting results accurately, and ensuring causal inference. These concepts help identify errors, control for misleading associations, and uncover true relationships between exposures and outcomes, enhancing research quality and policy relevance.
Learn methods for detecting, confirming, and responding to disease outbreaks; designing surveillance systems; data collection and analysis; identifying transmission patterns; risk communication; and evaluating public health responses to improve preparedness, control strategies, and policy decisions.
2. Biostatistics and Data Analysis
Mastering probability theory and statistical inference is vital to design studies, assess risk, and interpret health data. It enables critical evaluation of associations, causality, and population variability—foundational for evidence-based decisions, policy development, and understanding uncertainty in disease patterns and intervention outcomes.
Learn to apply regression models and multivariate analysis to identify associations, control confounders, and assess risk factors in population health data. Understand model selection, assumptions, interpretation, and validation to derive accurate, evidence-based conclusions that guide public health interventions, policy decisions, and epidemiological research with statistical rigor.
Learn to analyze time-to-event data and track changes over time within individuals. Understand censoring, hazard functions, and mixed-effects models. Master tools like Cox regression and joint modeling. These skills help assess disease progression, treatment effectiveness, and population health trends—essential for impactful research in public health and epidemiology.
For a PhD in Public Health & Epidemiology, mastering statistical software like R, STATA, and SPSS is essential for data analysis, modeling disease trends, evaluating interventions, and conducting complex multivariate analyses. Learn data management, regression techniques, survival analysis, and visualization to derive meaningful public health insights from large datasets.
3. Public Health Policy and Health Systems
In a PhD in Public Health & Epidemiology, learning health policy formulation and analysis involves understanding policy cycles, stakeholder engagement, evidence-based decision-making, and political, social, and economic influences. It emphasizes evaluating policy impact, health equity, and translating research into actionable strategies for effective public health governance and population-level interventions.
Understand how global health organizations like WHO and CDC coordinate disease surveillance, emergency response, policy-making, and health system strengthening. Learn governance structures, international health regulations, funding mechanisms, and collaboration models. Grasp their role in managing pandemics, health equity, data sharing, and shaping global public health priorities through evidence-based strategies.
From the topic Health Systems Research and Financing, a PhD in Public Health & Epidemiology should learn to analyze healthcare structures, evaluate financing models, assess policy impacts, and promote equitable resource distribution. It emphasizes evidence-based decision-making, system efficiency, sustainability, and improving access to quality care, especially in underserved populations.
From the topic Universal Health Coverage and Equity, PhD students in Public Health & Epidemiology should learn about health system design, access disparities, social determinants of health, policy implementation, and metrics for equitable service delivery. It fosters understanding of how to ensure fair, quality healthcare access across diverse populations and socioeconomic groups.
4. Social and Behavioral Sciences in Public Health
Understanding health behavior theories like the Health Belief Model (HBM), Theory of Planned Behavior (TPB), and Social Cognitive Theory equips PhD scholars in Public Health and Epidemiology to design effective interventions, predict health behaviors, and evaluate programs. These models guide evidence-based strategies for behavior change and health promotion at population levels.
Understand how social determinants—like income, education, environment, and social support—influence population health outcomes. Learn to analyze health disparities, measure inequities, and design evidence-based interventions. Gain skills in policy analysis, community engagement, and data interpretation to address root causes of disease and promote health equity in public health practice and research.
Community engagement and participatory research foster trust, cultural relevance, and shared ownership in public health studies. They enhance data quality, ethical integrity, and intervention success by involving communities in decision-making. Learning this approach equips researchers to address health disparities, improve outcomes, and ensure sustainability through inclusive, collaborative methodologies.
Learn to design, implement, and evaluate health promotion and education strategies using evidence-based approaches. Focus on behavior change theories, community engagement, policy advocacy, and culturally sensitive communication. Develop skills in program planning, monitoring, and assessing public health interventions to reduce disease burden and improve population health outcomes at local and global levels.
5. Environmental and Occupational Health
Learn to evaluate the health impacts of environmental pollutants through exposure assessment, toxicological analysis, and risk modeling. Understand regulatory frameworks, dose-response relationships, and population vulnerability. Develop skills in data interpretation, environmental monitoring, and translating scientific evidence into public health policy for disease prevention and sustainable environmental health management.
Understanding air, water, and soil pollution is vital in Public Health & Epidemiology for assessing environmental exposures, tracking disease patterns, and shaping policy. Learn about pollutant sources, toxicology, exposure pathways, health risk assessment, spatial epidemiology, and intervention strategies to mitigate environmental health impacts and promote population-level well-being.
Understand how occupational hazards affect worker health, injury patterns, and chronic disease risks. Learn to assess workplace exposures, implement safety interventions, and analyze epidemiological data. Focus on policy development, risk communication, and preventive strategies to promote safer work environments and reduce health disparities across diverse occupational populations.
From the topic Climate Change and Health Impacts, a PhD in Public Health & Epidemiology should focus on understanding environmental determinants of health, heat-related illnesses, vector-borne diseases, air quality effects, vulnerable populations, adaptation strategies, and policy implications. Emphasis should be on data modeling, surveillance systems, and evidence-based intervention planning.
6. Global Health and Disease Burden
Understand the drivers of emerging and re-emerging infectious diseases, including globalization, climate change, antimicrobial resistance, and zoonotic spillovers. Learn surveillance strategies, outbreak investigation, and health system preparedness. Focus on policy-making, data modeling, risk communication, and global health collaboration to prevent, detect, and respond to public health threats effectively.
Understand the global burden, risk factors, and socio-economic impacts of non-communicable diseases (NCDs). Learn epidemiological methods to analyze trends, disparities, and interventions. Focus on prevention strategies, health policy, and system-level responses. Develop skills in data interpretation, global health frameworks, and translating research into public health action for sustainable impact.
From the topic Maternal and Child Health Indicators, a PhD in Public Health & Epidemiology should learn to analyze trends, measure health outcomes, evaluate policy impacts, and identify disparities. It’s essential to understand data collection methods, health system challenges, and interventions that improve maternal and child health at population and community levels.
Learn about the design, implementation, and evaluation of international health programs, focusing on disease prevention, health promotion, and health systems strengthening. Understand global health governance, funding mechanisms, cultural considerations, and the impact of interventions on population health outcomes. Develop skills in data analysis, program monitoring, and evidence-based policy formulation.
7. Research Methods and Scientific Writing
Understanding quantitative and qualitative research methods is essential in a PhD in Public Health & Epidemiology. Learn to design studies, collect and analyze statistical data (quantitative), and explore behaviors, perceptions, and social contexts (qualitative). Master mixed methods, data interpretation, ethical research practices, and translating findings into public health policy and action.
Learn to critically appraise and synthesize existing research, assess study quality, and apply statistical techniques to combine results. Systematic reviews and meta-analyses help identify evidence gaps, inform public health policy, and guide clinical practice. Mastering this ensures rigorous, transparent, and impactful contributions to evidence-based public health and epidemiology.
PhD students in Public Health & Epidemiology should master clear scientific writing, proper data presentation, and ethical authorship. Learn to navigate journal selection, manuscript formatting, and open-access publishing. Understand the peer review process to improve your work, respond to critiques constructively, and contribute as a reviewer to support scientific rigor.
Learn to craft compelling, evidence-based grant proposals that align with funding priorities and demonstrate public health impact. Understand ethical research reporting, including transparency, data integrity, informed consent, and responsible authorship. Mastering these skills ensures research credibility, secures funding, and upholds trust in public health and epidemiological research.
8. Health Informatics and Surveillance
Understanding Health Information Systems (HIS) and Electronic Health Records (EHRs) is essential for a PhD in Public Health & Epidemiology. Learn about data collection, interoperability, health surveillance, policy integration, and ethical data use to enhance population health analysis, inform evidence-based decisions, and drive healthcare system improvements at scale.
Learn how digital tools enhance real-time disease tracking, improve outbreak prediction, and support data-driven public health decisions. Understand surveillance systems, big data analytics, machine learning, and ethical data use. Focus on integrating digital epidemiology into traditional frameworks to improve response speed, accuracy, and global health outcomes in public health research.
From the topic Big Data and Public Health Analytics, a PhD student in Public Health & Epidemiology should learn data integration, real-time surveillance, predictive modeling, population health trends, and ethical data use. Mastering these areas enhances disease prevention, policy-making, and resource allocation through evidence-based, data-driven decision-making and precision public health approaches.
From the topic GIS and spatial epidemiology, you should learn how to use geographic information systems to analyze disease patterns, identify hotspots, assess environmental and social determinants, and support public health interventions. It enhances decision-making, surveillance, and resource allocation by linking location data with epidemiological trends for targeted health strategies.
9. Ethics and Legal Issues in Public Health
In a PhD in Public Health & Epidemiology, understanding informed consent and confidentiality is vital to ethically conduct research. Learn how to obtain voluntary, informed participation, ensure clarity of risks and benefits, and protect participant data. Emphasize trust, privacy laws, and cultural sensitivity to uphold ethical research standards and integrity.
Learn about informed consent, risk-benefit analysis, privacy protection, and equitable participant selection. Understand international guidelines like the Belmont Report and Declaration of Helsinki. Study ethical review processes, cultural sensitivity, and community engagement. Emphasize transparency, accountability, and justice in research design, ensuring public trust and ethical integrity in population-based studies.
Learn how legal frameworks shape health outcomes, regulate disease control, and support health equity. Understanding legislation, policymaking, enforcement mechanisms, and ethical implications is crucial for designing effective, evidence-based interventions and influencing population-level health through governance and advocacy.
Learn to critically analyze how social determinants, systemic inequities, and policy structures impact health outcomes. Understand frameworks for health justice, human rights, and ethical research. Gain skills to design equitable interventions, advocate for marginalized populations, and evaluate public health policies through a lens of fairness, inclusion, and evidence-based accountability.
10. Advanced Topics in Epidemiology
Learn how genetic and molecular factors influence disease patterns, risk, and distribution in populations. Focus on gene-environment interactions, biomarkers, genomics, and personalized medicine. Understand study designs, statistical tools, ethical considerations, and data interpretation to inform public health interventions and policies through precision epidemiology and population-based genetic research.
Pharmacoepidemiology and vaccine effectiveness teach critical skills in assessing drug and vaccine impact on populations. You'll learn to evaluate real-world safety, effectiveness, and public health outcomes, use biostatistics and data analytics, understand regulatory frameworks, and design observational studies—essential for guiding health policy, disease prevention, and evidence-based decision-making in public health.
Learn how diet influences disease patterns, methods to assess dietary intake, statistical tools for analyzing diet-health relationships, challenges like measurement error and confounding, and how evidence informs policy and interventions for population-level nutritional health improvement.
Learn to critically assess relationships between exposures and outcomes using causal inference techniques like propensity scores, instrumental variables, and directed acyclic graphs (DAGs). Master advanced statistical models such as multilevel, Bayesian, and survival analysis to draw valid, policy-relevant conclusions from complex, observational public health and epidemiological data.
Conduct original research to address a real-world business problem. Learn to formulate research questions, apply theoretical frameworks, and contribute to academic and professional knowledge. Every Learner will go through these following six simple steps to complete their Thesis with the help of a Professional Expert.
What Our Learners Have To Say About Us
Pursuing my Doctorate in Business Administration was more than just an academic pursuit—it was a transformational journey. The research support and global exposure helped me establish myself as a thought leader in strategic management.
Analyze how Amazon or Netflix navigated shifting market conditions through strategic foresight, innovative thinking, and effective change management. Examine key decisions, adaptations to technology and consumer behavior, and leadership in driving transformation. Highlight lessons in resilience, long-term vision, and innovation that enabled sustained competitive advantage.
Analyze Satya Nadella’s transformational leadership at Microsoft, focusing on how his leadership style influenced employee motivation and drove cultural change. Examine key initiatives, communication strategies, and leadership behaviors that reshaped the company’s vision, collaboration, and innovation. Evaluate outcomes through performance improvements, employee engagement, and organizational culture transformation.
Analyze how Apple maintained supply chain resilience during COVID-19, focusing on logistics optimization, risk management strategies, and supplier relationship management. Examine disruptions faced, Apple’s response, and lessons learned. Highlight how Apple adapted operations, diversified suppliers, and leveraged technology to ensure continuity and meet global demand during the pandemic.
In this case study, analyze Tesla’s approach to raising capital and taking financial risks. Evaluate its valuation methods, capital structure decisions, and strategic financial choices. Assess how these influenced growth, investor confidence, and market positioning, while considering implications for long-term sustainability and competitive advantage in the electric vehicle industry.
In this case study, analyze how Airbnb achieved rapid growth through disruptive innovation. Focus on its unique business model, how it scaled operations globally, and secured funding to fuel expansion. Examine key strategies, challenges faced, and the impact of innovation on the hospitality industry’s traditional dynamics.
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Analyze how Coca-Cola tailors its branding and marketing strategies to different regions using consumer psychology insights and data-driven approaches. Examine specific regional campaigns, cultural adaptations, and how consumer behavior influences branding decisions. Highlight the effectiveness of personalized marketing and the role of data in shaping Coca-Cola’s global yet local brand presence.
Analyze the Volkswagen emissions scandal by examining the ethical lapses, failures in compliance, and the role of the board. Evaluate how decisions were made, who was responsible, and how stronger governance could have prevented it. Recommend strategies to enhance ethical decision-making, regulatory compliance, and board accountability in corporate settings.
Frequently Asked Questions
This is a doctoral-level program for professionals who want to lead through research and
innovation. It blends academic depth with real-world impact, helping you turn workplace
challenges into meaningful, research-driven solutions.
Yes, absolutely. It's built with your schedule in mind. You can pursue this PhD alongside your
job, with flexible study hours and a structure that respects your work-life balance.
This is a blended program, primarily conducted online. You'll learn through a mix of live virtual
sessions, recorded lectures, guided mentorship, and independent research. No campus visits
required—unless you choose to attend optional events.
You’ll learn from globally recognized faculty—experienced researchers, tenured professors, and
industry experts. They’ll not only teach you but guide your research journey with real insight and
personalized attention.
Instead of a traditional thesis, you’ll work on a Practicum Research Project. It’s based on a real
issue from your work or industry. With your advisor’s help, you’ll research it rigorously and may
even publish it, depending on your goals.
Not at all. This PhD is designed for professionals, not career academics. You’ll be supported
through every research step—from forming questions to analyzing data—with practical
guidance tailored to your experience level.
Most learners complete the program in about 2.5 to 3 years, depending on how much time you
dedicate. The flexible design means you can move at your own pace, balancing study with your
personal and professional life.
Yes. The degree is awarded by Euro Asian University in Estonia, a recognized institution within
the European Higher Education Area. It holds academic value across Europe, the U.S., and
beyond.
Publishing is not required but highly encouraged. If your work has practical or academic value,
your advisor can guide you in submitting it to journals or presenting it at conferences.
The cohort includes senior executives, consultants, educators, entrepreneurs, and mid-career
professionals. Everyone brings unique experiences, making for rich peer discussions and
networking opportunities.
Whether you want to teach, lead strategic transformation, consult, or start your own research
firm, this PhD helps position you as a subject matter expert and decision-maker in your domain.
The application is simple. Share your academic and professional background, express your
research interests, and have a short conversation with our admissions team. From there, we’ll
guide you through every step
Our advisors are available around the clock to answer questions and support your educational journey. Connect with us today to explore how upGrad can help you meet your career goals.
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