MSc Accounting and Finance (OGAF) by Research
Abertay University's MSc Accounting and Finance (OGAF) by Research is designed to p...
Dundee
INTAKE: Feb, June & Oct
Abertay University's PhD in Mathematical Approaches to Evaluate Health Risks, Behavior, and Interventions is a cutting-edge program designed to bridge the worlds of mathematics and public health. This interdisciplinary program aims to equip students with advanced mathematical tools to analyze health risks, model behaviors, and evaluate the effectiveness of interventions. The program provides a comprehensive overview of the intersection between mathematical modeling and health sciences.
Curriculum: The curriculum of the PhD program is meticulously designed to integrate mathematical methodologies with health sciences. Core courses cover advanced mathematical modeling, statistical analysis, epidemiology, and public health concepts. The program ensures a balance between theoretical understanding and practical applications, fostering a robust skill set in mathematical approaches relevant to health risk assessment and behavior analysis.
Research Focus: The program's research focus is centered on applying mathematical approaches to address pressing health challenges. Students engage in original research projects that may involve modeling the spread of infectious diseases, assessing the impact of lifestyle factors on health outcomes, and developing mathematical frameworks to evaluate the efficacy of health interventions. The research aims to contribute novel insights to the fields of public health, epidemiology, and mathematical modeling.
Industry Engagement: Recognizing the practical applications of mathematical modeling in health-related industries, Abertay University facilitates strong industry engagement for students. Opportunities for collaboration with healthcare providers, pharmaceutical companies, and public health agencies abound. Through internships, research partnerships, and practical projects, students gain hands-on experience and contribute to evidence-based decision-making in the health sector.
Global Perspective: The program embraces a global perspective, acknowledging that health challenges are inherently global in nature. Faculty members with international expertise contribute to the program, and students are encouraged to explore global health issues, engage in cross-cultural research, and consider the broader implications of mathematical modeling on global health outcomes.
Dundee
IELTS 6.5
£ 13750
PhD Entry Requirements
Academic Qualifications: Prospective PhD applicants are expected to hold a taught Masters degree in a relevant subject area. The university typically requires a minimum of 65% as the standard for academic performance in the completed Masters program.
English Language Proficiency:
Students must provide:
Work experience: Some PhD courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Abertay University offers several types of scholarships for international Ph.D. students, each with its own criteria and benefits.
Merit-Based Scholarships: Awards based on academic excellence, research potential, and achievements. Merit-based scholarships aim to attract high-achieving students to contribute to the university's research community.
Research-Specific Scholarships: Some scholarships are dedicated to students undertaking research in specific fields. These may align with the university's strategic research priorities or emerging academic disciplines.
Partnership Scholarships: Collaborative initiatives between Abertay University and external partners may result in specific scholarships. These aim to strengthen ties with organizations, industries, or governments.
Graduates of Abertay University's PhD program in Mathematical Approaches to Evaluate Health Risks, Behavior, and Interventions possess a unique skill set at the intersection of mathematics and public health. This program equips individuals with advanced analytical tools to assess health risks, model behaviors, and evaluate the effectiveness of interventions.
Public Health Data Scientist: PhD graduates may pursue careers as public health data scientists, utilizing their mathematical modeling skills to analyze large datasets, assess health trends, and provide data-driven insights to public health organizations.
Epidemiological Modeler: Individuals can work as epidemiological modelers, developing and refining mathematical models to simulate the spread of diseases, predict health outcomes, and assess the impact of interventions on population health.
Health Policy Analyst: Graduates may contribute to health policy development by providing quantitative analyses of health risks and the potential impact of policy interventions. They work with governmental and non-governmental organizations to inform evidence-based health policies.
Research Scientist in Health Analytics: PhD holders can pursue roles as research scientists specializing in health analytics. They contribute to scientific research by developing novel mathematical approaches to understand health risks, behaviors, and interventions.
Biostatistician: Individuals may choose to become biostatisticians, applying statistical methods to analyze health-related data. They collaborate with research teams to design studies, interpret results, and contribute to evidence-based decision-making in healthcare.
Health Data Analyst: Graduates can work as health data analysts, focusing on analyzing and interpreting health data to identify patterns, trends, and potential areas for intervention. They support healthcare organizations in optimizing patient outcomes and resource allocation.
Academic Researcher in Public Health Mathematics: PhD holders may pursue academic careers, conducting research in public health mathematics. They contribute to scholarly publications, collaborate with research institutions, and mentor the next generation of researchers.
Consultant in Health Analytics: Individuals may work as consultants, offering expertise in health analytics to healthcare providers, pharmaceutical companies, and public health agencies. They provide valuable insights to improve decision-making and optimize health outcomes.
Mathematical Modeling Specialist: Graduates can become specialists in mathematical modeling, applying their expertise to address specific health challenges. They may collaborate with multidisciplinary teams to design models that inform public health strategies.
Global Health Analyst: PhD holders with a global perspective can work as global health analysts, analyzing health risks and interventions on an international scale. They may collaborate with global health organizations to address global health disparities and challenges.
Health Technology Developer: Individuals may contribute to the development of health technologies by integrating mathematical models into innovative solutions. They work with technology companies to create tools that enhance healthcare delivery and outcomes.
Environmental Health Analyst: Graduates can specialize in assessing the environmental impact on health using mathematical approaches. They may work with environmental agencies to analyze data related to pollution, climate change, and their effects on public health.
Data Privacy Officer in Health Informatics: With a focus on privacy and ethics, PhD holders can work as data privacy officers in health informatics, ensuring that health data is handled securely and ethically in compliance with regulations.
Health Risk Assessment Specialist: Individuals may specialize in health risk assessment, working with organizations to quantify and communicate risks associated with various health factors. They contribute to strategies that mitigate risks and improve overall community health.
Health Economics Analyst: Graduates can explore roles in health economics, using mathematical models to assess the economic impact of health interventions. They contribute to cost-effectiveness analyses and support decision-making in healthcare resource allocation.