This short term programme has been designed mainly to provide brief of Big Data Analytics. The programme provides collecting, linking, and manipulating different types of biological information to discover new biological insight. Thus it works as re-fresher course for those already in the industry and an insight or practical guide for those planning to enter into this sector. You can complete this course from your own city.
Module 1: Introduction to Big Data Analytics
Module 2: HADOOP Ecosystem: Part 1
Module 3: HADOOP Ecosystem: Part 2
Module 4: Pharmaceutical and Healthcare Quality Systems
Module 5: Pharmaceutical and Healthcare Data Management
Module 6: Pharmaceutical and Healthcare Data Analysis and Visualization
Module 7: Pharmaceutical and Healthcare Data Integration
Module 8: Introduction to SPARK
Module 9: FDA Approaches to Big Data Analytics
Module 10: Implementation of Big Data Analytics in Pharmaceutical and Healthcare Industry
Module 11: Industry Based Case Studies
Any Life Science graduate/ B.Pharm/M pharm/MSc/BE/BTech(Computers/Electronics/IT) MCA/ any diploma holder or passed outs of Clinical Research degree or diploma courses are eligible for these course. Working professionals of any of the following industry types Drugs manufacturing, Medical Device, Ayurveda, Pharmaceutical Industry Regulation, Clinical Research, Homeopathic or Ayurveda Medicine Manufacturing, Cosmetic Manufacturing, Biotechnology or any related industry are highly encouraged to apply for the programme.
Minimum time in which a student can complete this diploma course is 6 months while a maximum of 12 months is allowed to complete the course.
The registration dates for this bi-annual programme run by the institute are updated timely on the webpage. The Training sessions and webinars are scheduled preferably on weekends depending on the availability of visiting faculty.. Effective E-learning tools incorporated into the design of the webpage make the course lectures, videos and study material easily accessible. This gives huge window of self-regulated and self-paced performance to the participants.
IGMPI follows a credit system based on all all learning activities involved in studying for all PG Diploma, Executive Diploma and Certificate Programmes. Each of your modules is equal to 4 credits. To successfully complete the programme, you will have to earn all the credits assigned to your programme.
All the participants are expected to appear for an online exam and are also obliged to submit assignments after each module. After successful completion, the participants will be awarded Executive Diploma in Big Data Analytics. For all the above mentioned modules elaborate course material, self-assessment assignments and project work details would be provided by the Institute from time to time. Details get updated on the webpage as well.
The Institute has partnered with many organizations for providing with placement assistance to in its participants. Besides, it has a robust placement cell comprised of senior level Human Resources professionals and Talent Acquisition experts which maintains close links with business and industry. This cell is continuously engaged in promoting the employability of our participants and encouraging the concerned Human Resources department and Hiring Managers to recruit/hire our participants for their vacant positions. The efforts of our placement cell also include helping with professional resume writing & interview skills.
The efforts of our placement cell also include helping with professional resume writing, interview skills & conducting mock interviews etc.
In recent months the Institute has witnessed more and more participation from professionals working with global pharmaceutical, healthcare and food giants like Dr. Reddy’s Laboratories, Aurobindo Pharma, Glenmark Generics, Cipla, Wockhardt, Pfizer, Abbott, Medtronic, Foster Corporation, Ipca Laboratories, Calyx, Mother Dairy, Bliss GVS Pharma, Al Rawabi, Almarai, Green Pastures, Accenture, Wipro, Fortis Clinical Research, Quintiles, SeQuent, PepsiCo India, Mankind, Beryl Drugs, CFTRI, Ciron, Sun Pharmaceutical, Novartis, GlaxoSmithKline, Biocon, Apollo Hospitals, etc.
The future of the Pharmaceutical Industry lies in overcoming barriers to innovation through data analytics optimisation. We need to move past the challenge of unstructured data sets and integrating data from multiple sources to begin to work collaboratively with other departments and organisations and create a real world evidence framework for our pharmaceutical development through effective data utilisation. There is an emerging need for analysts and data scientists who can take full advantage of tools and techniques that are capable of handling unleveraged and presenting results in a simple, easy-to-interpret way. After completion of this course, professionals can work as Data Analyst, Data Scientist, Data Analytics Consultant, Business Improvement Specialist.
Mr Vinod Arora, Principal Advisor, IGMPI
Placement testimonials: Our alumni are working with Fortune 500 and global Pharmaceutical, Food and healthcare giants like