Program Overview
Public Health, Biostatistics (PHST)
Course Descriptions
PHST 200. Reasoning with Data in Daily Life - QR3 Units
This course seeks to develop in students a competency in problem-solving and analysis, which will be necessary for them to succeed in college and throughout their lives and career.
PHST 301. Quantitative Methods in Public Health3 Units
The course is an introduction to the concepts and theory behind quantitative analysis methods used in public health. The content focuses on how and why different statistical methods are used with minimal emphasis on statistical calculations.
PHST 302. Intermediate Statistical Analysis3 Units
This course is an intermediate level applied statistics course covering key aspects of data exploration, visualization, and traditional topics in statistical inference.
PHST 310. Applied Statistical Regression Models3 Units
This is the first course of statistical regression models in public health practice. The covered topics are: normal distribution, t-distribution, hypothesis testing, inference for two or more population means, one-way and two-way analysis of variance (ANOVA), linear regression with one or more independent variables, inferential and diagnostic methods in regression and correlation, multiple regression analysis; model building in regression; factorial experiments, and design of experiments.
PHST 315. Sports Statistics3 Units
Sabermetrics and "moneyball" have highlighted the use of statistics and mathematics in making sports decisions. In this course, we will consider how to use statistical tools to approach a variety of questions in traditional sports including baseball, football, and basketball.
PHST 421. Statistical Computing in R3 Units
This course introduces students to the software R for statistical analysis. The R language provides a rich environment for statistical modeling and computing.
PHST 431. The Principles of Statistical Learning3 Units
This introductory course gives an overview of many concepts, techniques, and algorithms in Statistical learning, including the topics related to regression, classification, dimension reduction.
PHST 440. Statisitical Study Design and Research Methods3 Units
This course introduces multiple designs of studies that are commonly used in various disciplines, such as the clinical trails in pharmaceutical studies, the case-control study and cohort study in observational research methods.
PHST 500. Introduction to Biostatistics for Health Sciences I3 Units
An introduction to descriptive and inferential statistical methods, including descriptive and graphical methods, estimation, calculation of confidence intervals, and 1- and 2-sample hypothesis testing, one-way analysis of variance (ANOVA), and simple linear regression.
PHST 501. Introduction to Biostatistics for Health Sciences II3 Units
This course is a continued graduate level introduction to inferential statistical methods, covering multi-way analysis of variance, multiple regression, the chi-square analysis of frequencies and logistic regression, survival analysis, and nonparametric statistical methods.
PHST 520. Statistical Computing and Data Management with SAS3 Units
This course will introduce students to the fundamental of data management and analysis using SAS. It will give an overview of the SAS system under MS Windows and provide a fundamental grounding in the data step and Base SAS procedure.
PHST 561. Mathematical Tools I1 Unit
This course covers mathematical tools required for sound comprehension of mathematical probability and statistics concepts included in methodological portions of coursework in the MS in Biostatistics degree.
PHST 562. Mathematical Tools II1 Unit
This course covers mathematical tools required for sound comprehension of mathematical probability and statistics concepts included in methodological portions of coursework in the MS in Biostatistics degree.
PHST 563. Mathematical Tools III1 Unit
This course covers mathematical tools required for sound comprehension of mathematical probability and statistics concepts included in methodological portions of coursework in the MS in Biostatistics degree.
PHST 564. Mathematical Tools IV1 Unit
This course covers mathematical tools required for sound comprehension of mathematical probability and statistics concepts included in methodological portions of coursework in the MS Biostatistics degree.
Prerequisites
- PHST 200: Appropriate placement score or equivalent coursework.
- PHST 301: PHST 200, or MATH 109 or higher MATH course.
- PHST 302: PHST 301, or equivalent introductory statistics course including MATH 109, SOC 301, PSYC 301, PAS 408 etc.
- PHST 310: PHST 302.
- PHST 315: PHST 301 or equivalent (MATH 109, SOC 301, PYSC 301, and PAS 408) and MATH 111.
- PHST 421: PHST 302.
- PHST 431: PHST 301, or equivalent (MATH 109, SOC 301, PSYC 301, and PAS 408).
- PHST 440: PHST 302.
- PHST 500: Enrolled as a student in the PH MPH, MSc or Certificate in Clinical Investigation Sciences program.
- PHST 501: PHST 500.
- PHST 520: PHST 301, or equivalent (MATH 109, SOC 301, PSYC 301, PAS 408).
- PHST 561: Conditional or full admission to the MS or Certificate in Biostatistics programs.
- PHST 562: Conditional or full admission to the MS or Certificate in Biostatistics programs.
- PHST 563: Conditional or full admission to the MS or Certificate in Biostatistics programs.
- PHST 564: Conditional or full admission to the MS or Certificate in Biostatistics programs.
Term Typically Offered
- PHST 200: Spring Only
- PHST 301: Fall, Spring
- PHST 302: Spring Only
- PHST 310: Fall Only
- PHST 315: Summer Only
- PHST 421: Spring Only
- PHST 431: Spring Only
- PHST 440: Fall Only
- PHST 500: Fall Only
- PHST 501:
- PHST 520: Spring Only
- PHST 561: Summer Only
- PHST 562: Summer Only
- PHST 563: Summer Only
- PHST 564: Summer Only
Units
- PHST 200: 3 Units
- PHST 301: 3 Units
- PHST 302: 3 Units
- PHST 310: 3 Units
- PHST 315: 3 Units
- PHST 421: 3 Units
- PHST 431: 3 Units
- PHST 440: 3 Units
- PHST 500: 3 Units
- PHST 501: 3 Units
- PHST 520: 3 Units
- PHST 561: 1 Unit
- PHST 562: 1 Unit
- PHST 563: 1 Unit
- PHST 564: 1 Unit
Note
- PHST 500: Students interested in this course that do not meet the stated prerequisites should contact the department of Bioinformatics and Biostatistics.
University of Louisville
Overview:
The University of Louisville (UofL) is a public research university located in Louisville, Kentucky. It offers a wide range of undergraduate and graduate programs across various disciplines. UofL is known for its commitment to engaged learning, research, and community service.
Services Offered:
UofL provides a comprehensive range of services for students, faculty, and staff. These include:
Academic Support:
Libraries, online learning resources, tutoring services, and academic advising.Student Life:
Housing, dining, campus life organizations, and student success support.Technology:
ULink, Blackboard, email, directory, ITS Helpdesk, CardBox, and other online tools.Career Services:
Cardinal Careers, job postings, career counseling, and internship opportunities.Financial Aid:
Tuition, cost, and financial aid information and resources.Student Life and Campus Experience:
Students at UofL can expect a vibrant and engaging campus experience. The university offers a wide variety of student organizations, clubs, and activities. Students can participate in athletics, arts, music, and community service initiatives. The campus is located in a city with a rich history and culture, offering opportunities for exploration and entertainment.
Key Reasons to Study There:
Engaged Learning:
UofL emphasizes hands-on learning experiences and encourages students to apply their knowledge in real-world settings.Research Opportunities:
The university is a leading research institution with a strong focus on innovation and discovery.Community Engagement:
UofL is deeply committed to serving the local and global communities through various service initiatives.Affordable Education:
The university offers a variety of financial aid options to make education accessible to all students.Vibrant Campus Life:
UofL provides a diverse and inclusive environment with a wide range of student activities and organizations.Academic Programs:
UofL offers a wide range of academic programs, including:
Undergraduate Programs:
Majors and minors in various disciplines, including arts, sciences, engineering, business, and health sciences.Graduate Programs:
Master's and doctoral degrees in a variety of fields.Professional Programs:
Programs in medicine, dentistry, and law.Online Programs:
A variety of online degree and certificate programs.Other:
UofL is a comprehensive university with a strong commitment to research, innovation, and community engagement. The university is home to a number of centers and institutes, including the Health Sciences Center and the UofL Health system. UofL is also known for its strong athletics program, with the Cardinals competing in NCAA Division I.
