School of Research

Applying engineering concepts to healthcare and medical technologies is the main focus of a Ph.D. in Biomedical Engineering, which normally takes 4 -6 years to finish. The curriculum blends in-depth research into creating novel solutions for medical problems with courses in biomaterials, biomechanics, medical imaging, bioinformatics, and tissue engineering. Students work on projects pertaining to drug delivery systems, rehabilitation, diagnostics, and prosthetics. A solid background in biology, engineering, or similar disciplines is typically required for admission. Graduates can advance the knowledge and implementation of medical technologies through professions in academia, pharmaceuticals, medical research, or high-tech biomedical firms.
 

With an emphasis on cutting-edge research in machine learning, deep learning, natural language processing, computer vision, and robotics, a Ph.D. in Artificial Intelligence (AI) normally takes 4-6 years to finish. The curriculum blends in-depth practical research with fundamental courses in AI theory, algorithms, and data science, allowing students to work on innovative projects and offer novel insights into the field. There is a thorough examination of subjects including neural networks, reinforcement learning, and ethical AI. A solid foundation in computer science, mathematics, or a similar discipline is typically required for admission. Graduates are equipped for jobs in research, academia, and executive roles in tech firms and AI-related sectors.

A Ph.D. in Public Administration is a research-oriented program that investigates the philosophy, practice, and management of public-sector organizations and policies. The program typically lasts 3-5 years and covers topics such as public policy analysis, governance, organizational theory, administrative ethics, and public service leadership. Students do original research to address contemporary issues in public administration, social justice, and governmental reform. In general, admission needs a Master's degree in Public Administration, Political Science, or a closely related discipline. Graduates work in academics, government agencies, non-governmental organizations (NGOs), and think tanks, helping to establish effective public policies and administrative procedures.

 

Typically lasting 4-5 years, a Ph.D. program in applied mathematics focuses on applying sophisticated mathematical methods to address practical issues. This research-intensive degree blends original research with demanding training in subjects including mathematical modeling, differential equations, optimization, and numerical analysis. Students frequently work in interdisciplinary teams, bringing mathematical techniques to disciplines like as economics, biology, engineering, and physics.Graduates are ready for jobs in research institutes, academia, or sectors including data science, technology, and finance. The program places a strong emphasis on computational techniques, problem-solving abilities, and the capacity to convert difficult mathematical ideas into useful applications.

Ph.D. in Machine Learning is a graduate research degree that focuses on creating algorithms and models that allow computers to learn from data and make predictions or judgments. The program, which typically takes 3-5 years to finish, covers advanced mathematics, statistics, data mining, neural networks, and deep learning courses, as well as considerable research. Students work on projects involving supervised and unsupervised learning, reinforcement learning, and artificial intelligence applications. Graduates frequently work in academia, research labs, or technology firms, contributing to advances in artificial intelligence, data science, and automation in fields such as healthcare, finance, and robotics.

Ph.D. in Public Policy is a highly specialized research degree that focuses on the analysis, formulation, and evaluation of public policies at the local, national, and international levels. The curriculum, which typically lasts three to five years, covers a wide range of topics including policy analysis, governance, public administration, economic policy, environmental policy, health policy, social justice, and the role of institutions in affecting public decisions. Students perform original research on the impact of government acts, policy effectiveness, policy formulation, and the influence of public opinion, interest groups, and political institutions on policymaking. Graduates of the program frequently work in academia, government agencies, think tanks, international organizations, non-governmental organizations (NGOs), or consulting businesses that focus on policy research and analysis. Admission normally requires a master's degree in public administration,political science, economics, or a related field, with strong analytical and research skills.

 Ph.D. in Computational Biology focuses on using computational techniques and mathematical models to understand biological systems and processes. Typically lasting 3 to 5 years, the program combines coursework in bioinformatics, algorithms, systems biology, and data science with original research. Students explore topics such as protein structure prediction, genomics, molecular modeling, and computational drug design. Research may also include the analysis of large biological datasets, disease modeling, and the development of machine learning techniques to interpret biological data. Graduates are prepared for careers in academia, biotechnology, pharmaceuticals, and healthcare, contributing to advancements in personalized medicine, drug discovery, and the understanding of complex biological systems.

 Ph.D. in Business Analytics emphasizes the use of data-driven decision-making tools and advanced analytical methodologies to tackle difficult business problems. The program, which typically lasts 3 to 5 years, integrates statistics, machine learning, optimization, and data mining courses with intensive research in predictive analytics, big data, and decision modeling. Students look at how analytics can improve corporate strategy, operations, marketing, and finance. Graduates are prepared for careers in academia, consultancy, or high-level positions in industries such as finance, marketing, healthcare, and technology, where they will drive data-driven transformations and innovation in businesses of all sizes.

 

It usually takes  4 - 5 years to finish the demanding, research-focused Ph.D. degree in digital marketing and advertising. Advanced subjects in consumer behavior analysis, data-driven advertising, social media marketing, digital marketing tactics, and emerging technologies are all covered in the curriculum. Students conduct original research, write papers for academic use, and gain proficiency in planning, carrying out, and assessing digital marketing campaigns. Graduates of the program are prepared for senior research/consulting positions in the marketing and advertising sector or for academic jobs at universities. A research proposal, letters of recommendation, and an excellent basis in marketing, advertising, or another related field are required for admission, which makes it extremely competitive.
 

A Ph.D. in Cell and Tissue Engineering is typically a 4-6 year program that provides advanced training in the interdisciplinary field of developing biological substitutes to restore, maintain, or improve tissue function. Stem cell biology, biomaterials, bioreactor design, tissue architecture, and the clinical implementation of engineered tissues and organs are among the subjects covered in the curriculum. In order to advance the scholarly understanding of cell-material interactions, tissue regeneration, and the creation of novel therapeutic approaches for ailments like organ failure, traumatic injuries, and degenerative diseases, students frequently collaborate with medical research centers, biotechnology companies, or hospitals to conduct original research. Graduates of this program are equipped to work in regulatory affairs, tissue engineering companies, biomedical research, academia, and medical device development.

A Ph.D. in Health Care Diagnostics is typically a 4-6 year program that provides advanced training in the development, evaluation, and application of diagnostic technologies and techniques used in clinical practice. Biomedical engineering, medical imaging, in vitro diagnostics, bioinformatics, and the conversion of research results into better diagnostic instruments and procedures are among the subjects covered in the program. In order to advance the scholarly understanding of disease mechanisms, optimize diagnostic accuracy, and integrate cutting-edge technologies like artificial intelligence and point-of-care testing, students frequently collaborate with healthcare providers, diagnostic companies, or research institutes to conduct original research. The program's graduates are equipped for professions in academia, clinical laboratory management, medical device research and development, healthcare administration, and regulatory affairs, where they can apply their expertise in health care diagnostics to enhance patient outcomes, improve clinical decision-making, and advance the field of diagnostic medicine.