Program Overview

Pharmacovigilance is the related science of collecting, managing and reporting adverse events and drug safety data generated during clinical trials and post-marketing surveillance. Whether you're new to the field, have completed a program at another academy, or are a professional looking to expand your skill set, we offer industry-specific pharmacovigilance and AI programs that include internships at pharmaceutical companies.

Admission Requirements

This program is designed for life sciences and healthcare graduates / clinicians who are ready to pursue a career in clinical research at any level.
BSc.Life Science, B.Pharm, BDS, Ph.D, MBBS, B.Sc.Nursing or equivalent are eligible to apply.

Graduation Requirements

To successfully meet the program outcomes the student must:

•   Achieve a minimum mark of 80% in all of the module assignments and exams
•   Achieve a satisfactory rating in the internship evaluation

Career Opportunities

Artificial intelligence (AI) will have a major impact on pharmacovigilance. With advances in natural language understanding and image recognition, AI is improving the quality of data from drug trials, leading to better drug safety decisions. Further development of big data analytics and cloud-based pharmacovigilance platforms will enable more sophisticated analysis of large datasets. Using artificial intelligence can reduce human error and speed up the risk assessment process. AI can analyze large amounts of data to identify patterns and trends that help people make better decisions faster. With the rapid adoption of AI and machine learning, there are many opportunities to apply these techniques to pharmacovigilance. The industry is looking for integrated solutions that can manage pharmacovigilance end-to-end by unlocking hidden data and using automation to increase efficiency.