DETAILS

Regulatory Affairs is a domain with a broad overview and the responsibility for collecting all kinds of data from the development processes and sending it to regulatory authorities. The courses will provide broad perspectives and integrated knowledge to the students from Innovation →Discovery → Approval→ Commercialization which implies regulatory affairs are essential to bring the product to the market globally. This course specialization provides a comprehensive education in the important aspects of Regulatory and Quality compliance in pharmaceutical industry. Students gets updated with the current regulatory and compliance issues and explore careers in these exciting times. Nowadays regulations and ever changing laws are driving demand for pharmaceutical regulatory affair professionals who can help companies successfully bring medical products to the market.

In addition this program also offers Artificial Intelligence and Machine Learning (AIML) applications in Clinical Research to upgrade Medical and Health Science. Machine Learning Techniques like pre-trained deep learning models and convolutional neural networks (CNN) provides excellent opportunities for drug-development processes and makes clinical trial more intelligent.