Big data refers to a collection of data that cannot be processed in a timely manner using traditional database applications. Big data analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. With today’s technology, it’s possible to analyze your data and get answers from it almost immediately – an effort that’s slower and less efficient with more traditional business intelligence solutions.In the health-care and pharmaceutical industries, data growth is generated from several sources; including Healthcare the R&D process itself, retailers, patients, and caregivers. Effectively utilizing these data will help pharmaceutical and healthcare companies better identify new potential drug candidates and develop them into effective, approved and reimbursed medicines more quickly.By digitizing, combining and effectively using big data, healthcare organizations ranging from single-physician offices and multi-provider groups to large hospital networks and accountable care organizations stand to realize significant benefits.The emergence of big data, as well as advancements in data science approaches and technology, is providing pharmaceutical companies with an opportunity to gain novel insights that can enhance and accelerate drug development.It will increasingly help government health agencies, payers, and providers to make decisions about such issues as drug discovery, patient access, and marketing.
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 duration to complete this program is 1 year and maximum is 2 years.
The registration dates for this bi-annual executive program run by the institute are updated timely on the webpage. The Training sessions and webinars are strictly scheduled depending on the availability of speakers. 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 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 Post Graduate 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.
In recent months the Institute has witnessed more and more participation from professionals working with global pharmaceutical, healthcare and IT Companies like QuintilesIMS, Tata Consultancy Services, Infosys, Wipro, Immunomedics, HCL, Congnizent, Accenture, Dr. Reddy’s Laboratories, Aurobindo Pharma, Glenmark Generics, Cipla, Wockhardt, Pfizer, Abbott, Medtronic, Foster Corporation, Ipca Laboratories, Bliss GVS Pharma, Al Rawabi, SeQuent, PepsiCo India, Mankind, CFTRI, Ciron, Sun Pharmaceutical, Novartis, GlaxoSmithKline, Ranbaxy, Biocon etc.
The future of the Pharmaceutical and Healthcare 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.Healthcare data volume is expected to grow dramatically in hospitals in the years ahead; it is vitally important for healthcare organizations to acquire the available tools, infrastructure, and techniques to leverage big data effectively.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