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    +91 88943 57155
    Pune, Maharashtra, India

    Duration

    4 Years

    Clinical Research

    Indian Institute of Health Management Research, Jaipur
    Duration
    4 Years
    Clinical Research UG OFFLINE

    Duration

    4 Years

    Clinical Research

    Indian Institute of Health Management Research, Jaipur
    Duration
    Apply

    Fees

    ₹7,80,000

    Placement

    98.5%

    Avg Package

    ₹4,80,000

    Highest Package

    ₹7,00,000

    OverviewAdmissionsCurriculumFeesPlacements
    4 Years
    Clinical Research
    UG
    OFFLINE

    Fees

    ₹7,80,000

    Placement

    98.5%

    Avg Package

    ₹4,80,000

    Highest Package

    ₹7,00,000

    Seats

    120

    Students

    120

    ApplyCollege

    Seats

    120

    Students

    120

    Curriculum

    Curriculum

    The Clinical Research program at Iihmr University Jaipur is structured over eight semesters, combining core courses, departmental electives, science electives, and laboratory sessions to provide a comprehensive educational experience. The curriculum emphasizes both theoretical knowledge and practical application, preparing students for successful careers in clinical research across diverse domains.

    Course Structure Overview

    SemesterCourse CodeCourse TitleCredits (L-T-P-C)Prerequisites
    1CR-101Introduction to Clinical Research3-0-0-3-
    1CR-102Basic Biology for Clinical Research3-0-0-3-
    1CR-103Chemistry for Medical Sciences3-0-0-3-
    1CR-104Introduction to Statistics and Biostatistics3-0-0-3-
    1CR-105Human Anatomy & Physiology3-0-0-3-
    1CR-106Pharmacology Basics3-0-0-3-
    1CR-107Research Methodology2-0-0-2-
    2CR-201Clinical Trial Design3-0-0-3CR-101
    2CR-202Epidemiology and Public Health3-0-0-3CR-104
    2CR-203Toxicology Fundamentals3-0-0-3CR-103
    2CR-204Regulatory Affairs in Healthcare3-0-0-3CR-101
    2CR-205Pharmacokinetics & Pharmacodynamics3-0-0-3CR-106
    2CR-206Good Clinical Practice (GCP)2-0-0-2CR-101
    3CR-301Advanced Drug Development3-0-0-3CR-205
    3CR-302Biostatistics for Clinical Trials3-0-0-3CR-104
    3CR-303Clinical Ethics and Governance3-0-0-3CR-204
    3CR-304Pharmacovigilance3-0-0-3CR-205
    3CR-305Data Management in Clinical Research3-0-0-3CR-104
    3CR-306Introduction to Bioinformatics2-0-0-2CR-102
    4CR-401Special Topics in Oncology Research3-0-0-3CR-301
    4CR-402Immunology and Autoimmune Disorders3-0-0-3CR-205
    4CR-403Cardiovascular Clinical Research3-0-0-3CR-301
    4CR-404Neuroscience in Clinical Trials3-0-0-3CR-205
    4CR-405Global Health Research3-0-0-3CR-202
    4CR-406Project Management in Clinical Research2-0-0-2CR-201
    5CR-501Clinical Data Analytics3-0-0-3CR-302
    5CR-502Machine Learning in Healthcare3-0-0-3CR-302
    5CR-503Biomarker Discovery3-0-0-3CR-301
    5CR-504Regulatory Submission Writing3-0-0-3CR-204
    5CR-505Translational Medicine3-0-0-3CR-301
    5CR-506Drug Safety & Risk Management2-0-0-2CR-304
    6CR-601Capstone Project - Clinical Research6-0-0-6All previous courses
    6CR-602Advanced Clinical Trial Design3-0-0-3CR-201
    6CR-603Clinical Research Ethics2-0-0-2CR-303
    6CR-604Pharmaceutical Industry Insights2-0-0-2-
    7CR-701Internship in Clinical Research6-0-0-6All previous courses
    8CR-801Advanced Capstone Project6-0-0-6All previous courses

    Detailed Course Descriptions

    The following are detailed descriptions of several advanced departmental elective courses offered in the Clinical Research program:

    • Clinical Data Analytics: This course explores methods for analyzing large datasets generated during clinical trials. Students learn about data cleaning, visualization, statistical modeling, and predictive analytics using tools like R, Python, and SAS. The course emphasizes practical applications in healthcare decision-making and regulatory submissions.
    • Machine Learning in Healthcare: Focused on applying machine learning algorithms to healthcare applications such as early diagnosis of diseases, drug discovery, and personalized treatment plans. Students gain hands-on experience with datasets from real clinical studies and learn how to interpret results for clinical decision support systems.
    • Biomarker Discovery: Students investigate how biomarkers are identified, validated, and used in clinical settings for diagnosing conditions or monitoring therapeutic responses. The course covers molecular techniques, validation strategies, and regulatory considerations for biomarker use in diagnostics and therapeutics.
    • Regulatory Submission Writing: This course teaches students how to prepare regulatory documents required for drug approval, including INDs, NDAs, and BLAs, adhering to guidelines from FDA, EMA, and other agencies. It includes writing practice sessions, peer review exercises, and mock submissions to simulate real-world scenarios.
    • Translational Medicine: Examines the process of translating basic research findings into clinical applications, focusing on challenges in moving discoveries from bench to bedside. The course explores translational pathways, regulatory frameworks, and collaborative models between academia and industry.
    • Drug Safety & Risk Management: Covers risk assessment strategies, adverse event reporting systems, and post-market surveillance methods for ensuring patient safety. Students learn how to develop risk management plans, conduct safety signal detection, and communicate risks effectively to stakeholders.
    • Global Health Research: Addresses public health issues at global scales, including infectious disease outbreaks, health policy analysis, and international collaboration in research. The course includes case studies from WHO reports, fieldwork opportunities, and exposure to global health initiatives.
    • Neuroscience in Clinical Trials: Focuses on neurological disorders and their treatment through clinical research, covering topics like neuroimaging, cognitive testing, and neuropharmacology. Students learn how to design trials for neurodegenerative diseases, psychiatric conditions, and neurological complications.
    • Immunology and Autoimmune Disorders: Explores immune system function and dysfunction, particularly autoimmune diseases, with emphasis on clinical trial design and treatment strategies. The course includes exposure to current research trends in immunotherapy and personalized medicine approaches.
    • Advanced Clinical Trial Design: Builds upon foundational knowledge to cover complex trial designs such as adaptive trials, basket trials, and umbrella trials, emphasizing flexibility and efficiency in research protocols. Students learn how to design efficient trials that can adapt based on interim analyses and evolving scientific understanding.

    The department's philosophy on project-based learning is rooted in the belief that practical experience enhances theoretical understanding. Throughout the program, students engage in mini-projects during the first four semesters, which serve as stepping stones toward larger capstone initiatives. These projects are typically aligned with current research trends or industry needs and allow students to develop critical thinking, problem-solving, and teamwork skills.

    Mini-projects begin with a structured proposal phase, where students identify relevant topics, review literature, and formulate hypotheses. Faculty mentors guide students through data collection, analysis, and interpretation phases. Evaluation criteria include clarity of presentation, methodology soundness, depth of insight, and potential impact on clinical practice or policy.

    The final-year capstone project is a comprehensive endeavor that requires students to design and execute an independent research study under close supervision from faculty advisors. Projects often involve collaboration with external partners such as pharmaceutical companies, hospitals, or government agencies. The goal is to produce original contributions to the field of clinical research, which may include peer-reviewed publications, conference presentations, or patent applications.