Fellowship in Epidemiology and Biostatistics

4.5/5
  • Blended learning program
  • Course developed by UNSW
  • 2 day workshop/CME by faculty from UNSW & Apollo Institute of Medical Sciences & Research (AIMSR)
  • Integrating the core disciplines of Epidemiology & Statistics together in one course
`104,348*
Key Features
  • Certified by UNSW, Australia
  • Scheduled seminars by Global Faculty
  • Promotes integration of knowledge across Epidemiology & Statistics
  • UNSW is ranked within the top 50 Universities Worldwide
Fellowship in Epidemiology and Biostatistics
4.5/5
  • Blended learning program
  • Course developed by UNSW
  • 2 day workshop/CME by faculty from UNSW & Apollo Institute of Medical Sciences & Research (AIMSR)
  • Integrating the core disciplines of Epidemiology & Statistics together in one course
  •  Course Duration
    12 months
  •  Next Batch Date
    1st June 2020
`104,348*

*Statutory taxes and levies not included. Taxes will be applied on checkout. Rates may vary based on management discretion.

Course Description

With the COVID-19 epidemic taking the world by storm, interest in areas of infections, epidemiology and biostatistics has peaked. This online course helps doctors to apply an epidemiological approach to the study of disease and illnesses caused by organisms such as coronavirus.

The Fellowship in Epidemiology and Biostatistics elearning course is designed to help the students develop essential knowledge and skills in quantitative public health research by integrating the core disciplines of epidemiology and biostatistics in one course. These online classes will enable the students to apply an epidemiological approach to the study of disease and illness. This study will help in interpreting and assessing the evidence quality of a range of study designs and to apply appropriate statistical techniques in the analysis of public health data.

This course is aimed at healthcare professionals who wish to consolidate their knowledge and skills and increase their understanding of the importance of epidemiology and statistics in public health today, with several infectious diseases raging throughout the world. The eligibility for this course includes MBBS, MD, B.Pharm, M. Pharm, Graduates in statistics, Bsc, Msc, Nursing, BDS, MDS, BPT, MPT, BOT, MOT, Ph.D., MPhil, BAMS, BUMS, BHMS.

Training by this online course opens an extraordinary number of pathways to a meaningful career. Career opportunities within these areas include; public health physicians, epidemiologists, biostatisticians, surveillance officer, monitoring and evaluation coordinators, data managers, research officers, public health/sanitary engineers, demographer, community health nurse and policy analyst.

This Course is accredited by UNSW and jointly certified by School of Public Health and Community Medicine, UNSW and Medvarsity.

Eligibility: MBBS, MD, B.Pharm, M. Pharm, Graduates in statistics, Bsc, Msc, Nursing, BDS, MDS, BPT, MPT, BOT, MOT, Ph.D., MPhil, BAMS, BUMS, BHMS.

Course Validity: 14 months.There will be an extra charge on the extension of the course validity.

Register Now to know more about this course

*Statutory taxes and levies not included. Taxes will be applied on checkout. Rates may vary based on management discretion.

Key Features
  • feature
    Certified by UNSW, Australia
  • feature
    Scheduled seminars by Global Faculty
  • feature
    Promotes integration of knowledge across Epidemiology & Statistics
  • feature
    UNSW is ranked within the top 50 Universities Worldwide
Course Outline
Module 1
    • Defining Public Health
    • Introduction to Epidemiology
    • Measures of Disease Frequency
Module 2
    • Measures of Risk and Association
    • Measures of Health Impact in the Population
    • Measures of Association and Health
      Impact from a Case-control Study
    • Risk Versus Prevention
    • Reporting Measures of Association and Health Impact
Module 3
    • Introduction to Critical Appraisal
    • Epidemiological Studies
    • Analytic Intervention Studies
    • Analytical Observational Studies
Module 4
    • Sources of Bias in Epidemiological Studies – Overview
    • Assessing Epidemiological Studies
    • Selection Bias
    • Measurement Bias
    • Confounding and Effect Modification
Module 5
    • Intervention Studies
    • Cohort Studies
    • Case-control studies
    • Cross-sectional studies
Module 6
    • Screening Programs and Tests
    • Causal Inference in Epidemiology
    • Synthesis of Evidence
    • References and Extra Reading
Module 7
    • Introduction to Statistics: Presenting
      and Summarising Data
    • What is Statistics?
    • Summary Statistics and Variation in Data
Module 8
    • Normal Distribution
    • Confidence Intervals
Module 9
    • Hypothesis testing: Comparing Means
    • Hypothesis Testing
    • Comparing the Means of Two Groups
Module 10
    • Hypothesis Testing with Categorical Data
    • Comparing Independent Proportions
Module 11
    • Analysis of Paired Data
    • Correlation and Regression
Module 12
    • Analysis of Non-Normal Data
    • Sample Size Estimation
Course Outline
Module 1
  • Defining Public Health
  • Introduction to Epidemiology
  • Measures of Disease Frequency
Module 2
  • Measures of Risk and Association
  • Measures of Health Impact in the Population
  • Measures of Association and Health
    Impact from a Case-control Study
  • Risk Versus Prevention
  • Reporting Measures of Association and Health Impact
Module 3
  • Introduction to Critical Appraisal
  • Epidemiological Studies
  • Analytic Intervention Studies
  • Analytical Observational Studies
Module 4
  • Sources of Bias in Epidemiological Studies – Overview
  • Assessing Epidemiological Studies
  • Selection Bias
  • Measurement Bias
  • Confounding and Effect Modification
Module 5
  • Intervention Studies
  • Cohort Studies
  • Case-control studies
  • Cross-sectional studies
Module 6
  • Screening Programs and Tests
  • Causal Inference in Epidemiology
  • Synthesis of Evidence
  • References and Extra Reading
Module 7
  • Introduction to Statistics: Presenting
    and Summarising Data
  • What is Statistics?
  • Summary Statistics and Variation in Data
Module 8
  • Normal Distribution
  • Confidence Intervals
Module 9
  • Hypothesis testing: Comparing Means
  • Hypothesis Testing
  • Comparing the Means of Two Groups
Module 10
  • Hypothesis Testing with Categorical Data
  • Comparing Independent Proportions
Module 11
  • Analysis of Paired Data
  • Correlation and Regression
Module 12
  • Analysis of Non-Normal Data
  • Sample Size Estimation
Accreditation Partner(s)
  • University of New South Wales
FAQs
1. Course related
  • Is this course recognized by MCI/UGC?
    • Medical Council of India does not recognize courses that are offered through online or blended learning platform. In collaboration with leading industry experts, we provide you with the best state-of-the art learning content with an endeavor to train you to become well-equipped and proficient in patient care through this course.
  • Is this certificate valid, as it is an online course?
    • Since the course is not recognized by an academic bodies, the certification will not be valid for applying for jobs in govt. sector.
2. Eligibility for the course
  • MBBS, MD, B.Pharm, M. Pharm, Graduates in statistics, Bsc, Msc, Nursing, BDS, MDS, BPT, MPT, BOT, MOT, Ph.D., MPhil, BAMS, BUMS, BHMS.
3. Course delivery
  • How to access the course material online?
    • To access the course, click on kite.medvarsity.com using the login ID and password provided to you or click on “LOG IN USING YOUR ACCOUNT ON Google” and enter your Email ID: Gmail ID (Only if Gmail ID mentioned in the Application) & Password. In case you don’t have access to login ID and password, write to us at support@medvarsity.com & quote your registered email ID.
  • What if I am unable to open the Medvarsity website?
    • In the first instance, you should contact our student support teams to make a complaint using one of these methods, during operating hours.
Student Support TeamOperating Hours
Email:support@medvarsity.com
Phone:1800 103 6006
IVR OPTION 2
Mail:Medvarsity Online Limited
Block B, II Floor, Sanali Infopark, 2 LV Prasad Marg,, Jubilee Hills,
Park View Enclave, Jubilee Hills, Hyderabad,
Telangana 500034
Whats App Number:7331105450
9 am- 7pm,
Mon-Sat (IST)
4. Assessment and Exams
  • How to give exams online, procedure to give exams?
    • There are online assessments after each lesson.
      There is one final online assessment.
  • What is the procedure if Course is expired?
5. Extension of the course
  • What if I am not able to clear the module tests in the first attempt?
    • If you are not able to clear the module test in the first attempt, you can always take a second attempt to clear your module tests.

    What if I am not able to clear the module tests in the second attempt?

    How many attempts do I have for the final exam?

    • One attempt.
  • What if I do not clear the final examination?
    • You can attempt the exam again by paying the applicable reactivation fee.
  • What if I feel that a question is wrongly framed or an answer is wrongly marked in the online exams?
    • If you feel that something is wrongly mentioned, you can write at support@medvarsity.com, directing it to the academics team.
  • What if I am not able to complete the course within the duration?
    • You get 1+1 = 2 years validity within which you need to finish the course. In case you are not able to clear it within this time, you will have to send a request to the Support team ( support@medvarsity.com) to extend your course and pay the applicable reactivation fee.
6. Certification
  • When will I get my certificate?
    • We have now gone online, once you successfully pass your final exam an E-Certificate (pdf) will be generated in the learning management system.
7. Placement Assistance
  • Do you provide any placement assistance?
    • We do not provide any placement guarantee as an outcome of the course. On a case to case basis we will introduce your profile to specific recruiting partners but no job guarantee is provided.
8. Feedback
  • What if I have any concerns regarding the program delivery or what if I have any suggestions to improve the quality of the course?
Faculty
Dr. Padmanesan Narasimhan

Consultant, UNSW. Dr Padmanesan Narasimhan is a lecturer at the School of Public Health and Community Medicine. He completed his PhD from the University of New South Wales, Australia in the area of Tuberculosis transmission among household contacts in south India. As a medical officer, he was instrumental in setting up the first injection drug users’ clinic in south India. He was trained in clinical research and epidemiology from the National Institutes of Health, USA. His research involves understanding disease dynamics in resource constrained settings, evaluation and application of health in delivery of health services, in particular with mobile phones. He is currently involved in teaching and researching infectious disease epidemiology and health services management.

Next Batch Start Date 1st June 2020

Course Duration

12 months
Register Here!

Faculty

Dr. Padmanesan Narasimhan

Accreditation Partner(s)

  • University of New South Wales

Available Payment Options

  • Credit Card
  • Debit Card
  • Bank Transfer
  • Loan