JOHNS HOPKINS UNIVERSITY · UNITED STATES
Statistical Reasoning in Public Health I
Master's · Taught in en
At a glance
12 mo
Duration
—
IELTS
—
Tuition / yr
en
Language
Master's
Level
This course provides a comprehensive introduction to the statistical methods and concepts commonly employed in public health research. It focuses on building a strong conceptual understanding of statistical estimation and inference, and the practical interpretation of results derived from public health data. The curriculum covers various types of data encountered in public health, methods for visualizing and interpreting data distributions, and the calculation and interpretation of confidence intervals for population means and proportions. Students will also learn to compute and compare measures of association for binary outcomes, understand incidence rates, and construct survival function estimates.
Curriculum
The course is structured around understanding and applying biostatistical reasoning to public health challenges.
- 2nd Term
- Statistical Reasoning in Public Health I140.611.94
Careers
The skills gained in this course are foundational for a career in public health, enabling graduates to analyze data, interpret health trends, and contribute to program evaluation and development. Graduates are prepared to work in various roles within public health organizations.
- Public Health Analyst
- Biostatistician
- Epidemiologist
- Program Evaluator
- Health Data Scientist
Frequently asked questions
- Who is eligible to enroll in the Statistical Reasoning in Public Health I course?
- This course is exclusively for students who are already enrolled in the Master of Public Health (MPH) program at IIHMR, Jaipur. No specific academic prerequisites are required for the course itself beyond program enrollment.
- What statistical concepts will I learn in this course?
- This course provides an introduction to statistical methods used in public health research. You will learn about statistical estimation and inference, data visualization, confidence intervals, measures of association for binary outcomes, incidence rates, and survival function estimates.
- What are the career prospects after completing this course?
- The skills developed in this course are foundational for public health careers. Graduates can pursue roles such as Public Health Analyst, Biostatistician, Epidemiologist, Program Evaluator, or Health Data Scientist.
- Where is this course taught and in what format?
- The Statistical Reasoning in Public Health I course is instructed in-person and is offered in Jaipur, India. Course materials are accessible through CoursePlus.
- How can I find information on tuition and fees for this program?
- Tuition information for international students is not specified on the provided pages. Johns Hopkins University reviews tuition levels annually, and for specific program fees, you should refer to the department.
Entry requirements
Program EnrollmentOnly students enrolled in the MPH program with IIHMR, Jaipur are permitted in this section.
No prerequisites are required for this specific course.
Fees
Tuition (international)Tuition information for international students is not specified on the provided pages. General tuition for Johns Hopkins University is reviewed annually by the Committee on Finance. For specific program fees, please refer to the department.
Tuition (home)Tuition information for domestic students is not specified on the provided pages. General tuition for Johns Hopkins University is reviewed annually by the Committee on Finance. For specific program fees, please refer to the department.
LivingEstimated living costs for students in India are not provided on the supplied pages. Johns Hopkins University reviews its financial plans, including tuition levels and other expenses, annually.
The Committee on Finance reviews tuition levels and other financial matters affecting university budgets.
How to apply
1. Identify ProgramIdentify the specific graduate program of interest. For this course, it is part of the MPH program with IIHMR, Jaipur.
2. Check RequirementsReview the admission requirements for the chosen program, including academic prerequisites and standardized test scores.
3. Submit ApplicationComplete and submit the online graduate application form. This typically includes submitting transcripts, letters of recommendation, a statement of purpose, and test scores.
4. Application FeePay the required application fee.
5. Await DecisionApplications are reviewed by the admissions committee, and applicants are notified of the decision.
Scholarships
General Scholarships/FundingNot specified
Accreditation
Johns Hopkins University is a leading research university. The Bloomberg School of Public Health holds accreditation for its programs.
Frequently asked questions
Who is eligible to enroll in the Statistical Reasoning in Public Health I course?
+
This course is exclusively for students who are already enrolled in the Master of Public Health (MPH) program at IIHMR, Jaipur. No specific academic prerequisites are required for the course itself beyond program enrollment.
What statistical concepts will I learn in this course?
+
This course provides an introduction to statistical methods used in public health research. You will learn about statistical estimation and inference, data visualization, confidence intervals, measures of association for binary outcomes, incidence rates, and survival function estimates.
What are the career prospects after completing this course?
+
The skills developed in this course are foundational for public health careers. Graduates can pursue roles such as Public Health Analyst, Biostatistician, Epidemiologist, Program Evaluator, or Health Data Scientist.
Where is this course taught and in what format?
+
The Statistical Reasoning in Public Health I course is instructed in-person and is offered in Jaipur, India. Course materials are accessible through CoursePlus.
How can I find information on tuition and fees for this program?
+
Tuition information for international students is not specified on the provided pages. Johns Hopkins University reviews tuition levels annually, and for specific program fees, you should refer to the department.