M. Pharmacy Pharmacology Batch 2017 Syllabus

Introduction

The Master of Pharmacy (M.Pharm) in Pharmacology is a two-year postgraduate program designed to provide students with advanced knowledge in drug actions, therapeutic uses, and the mechanisms of disease treatment. The Batch 2017 curriculum incorporates contemporary pharmacological concepts while maintaining a strong foundation in basic principles and research methodology.

Core Subjects - First Year

Semester 1

• Advanced Pharmacology
• Pharmacokinetics and Biopharmaceutics
• Experimental Pharmacology I
• Molecular Pharmacology
• Medicinal Chemistry and Drug Analysis

Semester 2

• Clinical Pharmacology and Therapeutics
• Drug Development and Regulatory Affairs
• Experimental Pharmacology II
• Pharmacogenomics and Personalized Medicine
• Biostatistics

Elective Subjects

Students can choose electives from the following specializations to tailor their education toward specific areas of interest:

• Neuropharmacology
• Cardiovascular Pharmacology
• Cancer Pharmacology
• Immunopharmacology
• Toxicology
• Pharmacoepidemiology
• Computational Pharmacology

Practical Training

Hands-on training forms an integral part of the curriculum, with dedicated laboratory sessions covering:

• In vitro pharmacological techniques
• Animal experimental models and protocols
• Drug interaction studies
• Pharmacokinetic parameter estimation and analysis
• Molecular biology techniques for pharmacological research
• Data analysis and interpretation

Research Project

Students are required to complete a research project in the second year under faculty supervision, covering:

• Literature review and hypothesis development
• Experimental design and methodology
• Data collection and analysis
• Thesis writing and defense
• Encouragement to publish research findings in peer-reviewed journals

Assessment Methods

Evaluation is conducted through a combination of methods:

• Theory examinations
• Practical examinations
• Seminars and presentations
• Internal assessments
• Research project evaluation

Career Prospects

Graduates of this program can pursue various career paths in:

• Pharmaceutical industry (R&D, clinical research, pharmacovigilance)
• Academic institutions as lecturers or researchers
• Regulatory bodies and government agencies
• Hospital pharmacies and clinical settings
• Contract research organizations
• Drug discovery and biotechnology companies
• Further doctoral studies in pharmacology or related fields

Recommended Resources

• Goodman & Gilman's The Pharmacological Basis of Therapeutics
• Katzung & Trevor's Basic & Clinical Pharmacology
• Lippincott Illustrated Reviews: Pharmacology
• Principles of Pharmacology: The Pathophysiologic Basis of Drug Therapy
• Standard journals: British Journal of Pharmacology, Journal of Pharmacology and Experimental Therapeutics, Pharmacology Reviews

Program Objectives

The M. Pharm Pharmacology program aims to:

• Develop advanced understanding of pharmacodynamic and pharmacokinetic principles
• Enhance skills in experimental pharmacology and research methodology
• Prepare students for careers in pharmaceutical research and development
• Foster critical thinking abilities in drug discovery and development
• Provide foundation for doctoral studies in pharmacology
• Cultivate understanding of ethical practices in pharmaceutical research

Program Learning Outcomes

Upon completion, students will be able to:

• Demonstrate comprehensive knowledge of pharmacological principles
• Design and conduct pharmacological experiments
• Analyze experimental data using appropriate statistical methods
• Evaluate drug actions and therapeutic applications
• Communicate research findings effectively
• Apply ethical principles in pharmacological research
• Contribute to the development of new therapeutic agents

Teaching Methodology

The syllabus is delivered through:

• Interactive classroom lectures
• Laboratory practical sessions
• Seminars and group discussions
• Research methodology workshops
• Guest lectures from industry experts
• Case studies and problem-based learning