Post Graduate Program In Management (PGPM) Healthcare Analytics
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Post Graduate Program In Management (PGPM) Healthcare Analytics

Gain evidence-based analytical skills to implement , maintain & support cutting edge healthcare informatics. Combine data analytics in healthcare setting to improve patient outcomes and quality of care, lower the cost incurred and smooth out business operations.

In Association With

associtation


Live Lectures
every weekend
Admission Closing
30th October


Suggested study
10-12 hrs/week
EMI Options
Starting at INR 15000/-

Batch starts
December 2021



Program Overview

If anything, COVID-19 has given a massive fillip to analytics in the healthcare sector. It is not that the healthcare sector was not using analytical tools earlier, just that use of analytics has become more pronounced after the emergence of this disease. A massive amount of data is being generated the World over on COVID-19 and such large data can only be analyzed through Machine Learning techniques. ML technology helps to understand numerous aspects of this malady.

The health sector has generally been generating a large amount of data. Today, many hospitals are computerized leading to massive volumes of patient data, sensor data coming out of electronic instruments, claims and cost data, inventory & drugs data, and HR data. Machine Learning and Deep Learning techniques offer a way to explore and make sense out of this data and make very useful predictions. Some questions that we try to answer pertaining to Clinical problems, Pharmaceutical and research challenges, Patient behavior or Insurance and Costs, and even related to HR data. Here is a list of some of the possible questions. The program is divided into five modules. Module-I introduces Healthcare and its multiple aspects. Module-II is regarding a host of digital technologies being used in this sector. Modules-III, IV, V, and VI relate to Analytics.

Admission ClosingAdmission Closing
30th October, 2021

iim rohtak course durationDuration
11 Months

iim rohtak campusCampus Immersion
FORE School of Management


Key Features

Earn PGPM in healthcare Analytics Earn PGPM in healthcare Analytics
Earn Healthcare analytics certification from the University of California (USA) Earn Healthcare analytics certification from the University of California (USA)
Get 4 months of internship Get 4 months of internship
Understand digital health and healthcare analytics Understand digital health and healthcare analytics
Applied machine learning and artificial intelligence in the healthcare industry Applied machine learning and artificial intelligence in the healthcare industry
Live projects for hands-on experience Live projects for hands-on experience
Executive Education Alumni status of the FORE school of management Executive Education Alumni status of the FORE school of management
Online Quizzes to reinforce the learning Online Quizzes to reinforce the learning
Develop models for predictive analytics Develop models for predictive analytics

Program Overview

If anything, COVID-19 has given a massive fillip to analytics in the healthcare sector. It is not that the healthcare sector was not using analytical tools earlier, just that use of analytics has become more pronounced after the emergence of this disease. A massive amount of data is being generated the World over on COVID-19 and such large data can only be analyzed through Machine Learning techniques. ML technology helps to understand numerous aspects of this malady.

The health sector has generally been generating a large amount of data. Today, many hospitals are computerized leading to massive volumes of patient data, sensor data coming out of electronic instruments, claims and cost data, inventory & drugs data, and HR data. Machine Learning and Deep Learning techniques offer a way to explore and make sense out of this data and make very useful predictions. Some questions that we try to answer pertaining to Clinical problems, Pharmaceutical and research challenges, Patient behavior or Insurance and Costs, and even related to HR data. Here is a list of some of the possible questions. The program is divided into five modules. Module-I introduces Healthcare and its multiple aspects. Module-II is regarding a host of digital technologies being used in this sector. Modules-III, IV, V, and VI relate to Analytics.

Admission Closing Admission Closing
30th October, 2021

durationDuration
11 Months

iim rohtak campusCampus Immersion
FORE School of Management


Key Features



Earn PGPM in healthcare Analytics Earn PGPM in healthcare Analytics


Earn Healthcare analytics certification from the University of California (USA) Earn Healthcare analytics certification from the University of California (USA)


Get 4 months of internship Get 4 months of internship


Understand digital health and healthcare analytics Understand digital health and healthcare analytics


Applied machine learning and artificial intelligence in the healthcare industry Applied machine learning and artificial intelligence in the healthcare industry


Live projects for hands-on experience Live projects for hands-on experience


Alumni status of the fore school of management Alumni status of the fore school of management


Online Quizzes to reinforce the learning Online Quizzes to reinforce the learning


Develop models for predictive analytics Develop models for predictive analytics



Why This Program Is Important For Me?

Healthcare analysts are in demand. They’re paid well. ....Show More Plus, the role is hugely varied. As new technologies emerge, and consumer demand for control over personal well-being increases, it will be evermore important to understand how best to navigate the competitive landscape and how to scale your data to keep it relevant. The future of healthcare analytics will include even larger collections of data for healthcare organizations to navigate and manage. Show Less

What Will I Learn From the Program?

Introduction to Health Care Management, Hospitals: Facilities Planning and Management, ....Show More Public Health in India, Healthcare Facilities, Challenges in Healthcare in India, Leadership in Healthcare, Strategic Planning in Healthcare, Managing Healthcare Operations, Managing Research in Healthcare, and Ethics in Healthcare, Healthcare Quality Analytics and Six Sigma, Digital Health & Technologies Show Less







Tools Covered



Curriculum

Best-in-class content by leading Faculty and industry leaders in the form of videos, cases, projects and live classes

Term1
Term2
Term3
Term4
Term5
Term6

  • Develop business acumen
  • Integrative approach to decision making
  • Understand the healthcare ecosystem in India
  • Recognise emerging trends and innovations in healthcare
  • Develop leadership and collaborative competencies

  • Measures of Central Tendency and Dispersion
  • Probability Theory (Different Approaches, Rules of Probability, Bayes’ Theorem)
  • Random Variables and Probability Distributions Discrete Probability Distributions - Binomial and Poisson Distribution
  • Continuous Probability Distributions – Normal Distribution
  • Correlation and Regression Analysis: Simple & Multiple Regression
  • Concept Of Hypotheses Testing, Type I & Type II Errors, Power Of The Test, Hypothesis Testing of Mean and Proportion, Two Sample Tests, Tests for Difference in Means and Proportions
  • Chi-Square Goodness-of-Fit Test, Test of Independence
  • Time Series Forecasting a. Autocorrelation function and Partial Autocorrelation functions b. Forecasting using multiple regression c. Forecasting using ARIMA
  • Data visualization using Orange
  • Developing Business intelligence using MS Power BI

  • Introduction to Neural Networks (NN)
  • Experiments with MLP networks
  • Regularising NN
  • Deep Learning with Convolution Neural Networks
  • Using very deep Convolution Networks
  • Recurrent Neural
  • Natural Language Processing
  • Experimenting with TensorBoard
  • Autoencoders and Anomaly detection

  • Develop insights into healthcare data through visual analytics
  • Discover if data has any structure
  • Learn techniques to group/cluster data
  • Develop models for predictive analytics

  • Introduction to Machine Learning Technology
  • Data visualization and discovering structure in data. (Techniques include t-sne, parallel coordinates, mosaic plots) and Feature importance
  • Unsupervised learning techniques
  • K-means clustering
  • Hierarchical clustering
  • Expectation-Maximization algorithm
  • T-SNE & UMAP manifold learning technique
  • Dimensionality reduction
  • Principal Component Analysis (PCA)
  • Kernel PCA 4. Supervised learning techniques for Classification and Regression
  • Decision trees
  • Ensemble modelling using Random Forest
  • Gradient Boosting Techniques i. Gradient Boosting Learner
  • XGBoost
  • LightGBM
  • CatBoost
  • Handling imbalanced data—SMOTE, ADASYN & other methods
  • Performance measures: Accuracy, Precision and Recall, F-measure; Area Under the Curve, Cohen’s Kappa, Sensitivity, Specificity
  • Hyper-parameter optimisation techniques—Bayes Optimization
  • Interpreting Machine Learning Models

Module VI is the culmination of purely Analytics part of this course. A project will be assigned and students will have to execute the project in a step-wise fashion. Students may execute the project alone or in small teams with a team leader. Teams have the benefit of trying many alternative strategies before zeroing on the most promising one. Students will also be free to take up a project from their organization.

Online Applications


Curriculum

Best-in-class content by leading Faculty and industry leaders in the form of videos, cases, projects and live classes

TERM 1: UNDERSTANDING HEALTHCARE MANAGEMENT

TERM 2: DIGITAL HEALTH & TECHNOLOGIES

TERM 3: DATA VISUALIZATION AND STATISTICAL ANALYSIS

TERM 4: MACHINE LEARNING

TERM 5: DEEP LEARNING AND NATURAL LANGUAGE PROCESSING

TERM 6: CAPSTONE PROJECT



Online Applications


Programme Faculty

One of the top management faculties in India.
Prof. Vinaytosh Mishra

Prof. Vinaytosh Mishra

Ph.D. IIT-BHU (Supply Chain Management), IMNU-Ahmedabad

Prof. Mishra has more than 13 years of experience in industries like Manufacturing, Financial Services, Software, and IT and has worked with reputed companies like FIITJEE Edusoft, Religare, Rosenthal India, and Jindal ISPAT. He has also worked as a founding team member for start-ups in healthcare, pharmaceuticals, and IT.

Prof. Ashok Kumar Harnal

Prof. Ashok Kumar Harnal

IIT Delhi, M.Phil (Social Sciences), MA (Economics); Diploma in Project Management

Expert in implementing Hottonworks and Cloudera based multi layered big-data systems. Extensively taught faculty and students on the subject of big data technology and analytics. Participated in various machine learning competitions with real world data in areas of business, environment, marketing and advertisement.

Instructor Neha Bhardwaj

Dr. Uday Pratap Singh

BDS, MDS, PG Data Science, Six Sigma Black Belt Healthcare Data Scientist

I love to explore data, cross-check insights from statistical, domain and analytical perspective. I love to visualize data in a way that allows true assessment of the problem and aids in direct execution. I have strong analytical thinking and communication skills that allow me to dissect and steer client meetings with poise and gravitas


FORE Certificate Sample
FORE Certificate Sample

FORE Certificate Sample
FORE Certificate Sample

Admission Timeline


iim admission timeline

Programme Fee

INR 77,000 (+ GST)

  Enrollment Fee   – INR 25,666 (+ GST )

  Instalment 1 Fee – INR 25,666 (+ GST)

  Instalment 2 Fee – INR 25,666 (+ GST)


Admission Process



Online Application


Profile Shortlisting


Call Letter


Enrollment

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  • Interface with Industry Experts
  • Faculty with Rich Academic and Industry Experience
  • Comprehensive and rigorous programme from India's best Private Business School
  • Quality interactions with experienced executives and peer group learning


I’m Interested in this Program








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Frequently Asked questions ❓

Answer: You will be awarded with University of California Riverside HealthCare Analytics Certificate and a PGPM from Fore School of Management along with 5 months of internship in few of the reputed hospital / healthcare organizations or Live Project.

Answer: At least 10 hours per week of time commitment is expected to be able to graduate from the program.

Answer: The program will be revolving around Healthcare Analytics and trending analytics techniques. You may explore more here.

Answer: Yes a live project and internship with reputed hospitals / healthcare organizations.