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Online Certificate in Biostatistics

The online Certificate in Biostatistics is perfect for those working with statistical data who want to supplement their skills or are seeking a career transition.

Offered by the School of Public Health and Information Sciences at the University of Louisville (UofL), this 5-course (15 credit hour) biostats certificate prepares students to apply fundamental methods for analysis and management of data across various public health industries. Acquire the analytical background and informatics tools you need to meet your professional goals and advance your career in this evolving area.

100% ONLINE COURSES

Complete this program on your own time through fully online classes.

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15 CREDIT HOURS

Take only 5 course to earn your certificate.

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NO GRE REQUIRED FOR ADMISSION

Skip the test! Focus on learning new skills to advance your career.

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Online learning video - Master of Science in Biostatistics

Biostatistics Program Director Dr. Kulasekera shares details and benefits of earning your online Biostatistics Certificate.

How Much Will I Pay?

$764 per credit hour
$250 active duty military rate per credit hour

Tuition & Aid    

Students only enrolled in a non-degree certificate program are not eligible to receive federal aid. Tuition rate does not include costs associated with a specific course or program, such as textbooks.

Highlights

  • Learn how to employ statistical methods such as linear models and categorical data analysis, and use SAS and R software.
  • Gain expertise and highly marketable skills for a rapidly growing field.
  • Learn from world-class faculty with extensive applied experience.
  • Take advantage of the flexibility and convenience of 100% online classes and 24/7 access.
  • Get a jump start on your master’s degree—100% of credits earned in the certificate program apply to completion of your UofL Master’s in Biostatistics, also offered online (you must apply separately to the M.S. in biostats program).


Outcomes

The Certificate in Biostatistics from UofL prepares students for a wide variety of career paths in quantitative data analysis. They can choose to pursue biostats jobs within:

  • Healthcare systems
  • Pharmaceutical corporations
  • Insurers, consulting services
  • Medical centers, research centers
  • Government agencies (FDA, NIH, Census Bureau)
  • Universities and research institutions
  • Hospitals and cancer centers
  • Businesses and financiers
  • Biotech corporations
  • Product development companies

 

Application Deadline Term Start
July 1 Fall August
December 1 Spring January
April 1 Summer May/June

Although admission and enrollment for the certificate program is processed year-round, we encourage all candidates to apply as soon as possible in order to be considered for the next start available.

Steps to Apply

  1. Completed graduate application
  2. Submit $40 non-refundable application fee
  3. Submit 2 letters of recommendation, written within the past 12 months
  4. Submit official transcripts of all undergraduate and graduate work from regionally-accredited institutions – have transcripts sent directly to UofL.

Admission Requirements

  • Bachelor’s degree earned from a regionally-accredited institution
  • Elementary-level statistics coursework and exposure to a scientific environment, academically or professionally
  • Minimum GPA of 2.75 (applicants with lower GPAs will be considered on a case-by-case basis)

Send all materials to:
Graduate Admissions
University of Louisville
2211 S. Brook Street
Louisville, KY 40292
gradadm@louisville.edu


International Applicants

International students will not be issued a U.S. visa if admitted to an online program, since there are no campus attendance requirements. All courses in the program are taught 100% online, allowing you to complete the certificate coursework from the comfort of your home and at any time convenient for you, regardless of your current location, anywhere in the world.


For more information on the admission and application process, please contact our Online Learning Enrollment Counselor at 800.871.8635 or by email at online@louisville.edu.

The online Biostats certificate at UofL is a 15-16 credit hour program that requires 12 credit hours in core courses and 3-4 credit hours in electives (depending on the chosen courses).


Course Title Hours
PHST 680 Biostatistical Methods I 3
PHST 681 Biostatistical Methods II 3
PHST 620 Introduction to Statistical Computing (SAS) 3
PHST 684 Categorical Data Analysis 3
Electives* 3-4
Total 15-16

Note: PHST 680 and 681 are prerequisites for PHST 640 and 684.

*Electives can be either PHST 624 Clinical Trials I (2 Hours) and PHST 625 Clinical Trials II (2 hours) or PHST 640 Statistical Methods for Research Design in Health Sciences (3 hours).


Course Descriptions


PHST 680 Biostatistical Methods I
A mathematically sophisticated presentation of principles and methods of: exploratory data analysis; statistical graphics; point estimation; interval estimation; hypothesis testing of means, proportions and counts; chi-square analysis; rate ratio; and Mantel-Haensel analysis. Matrix algebra is required. Data sets will be analyzed using statistical computer packages; examples will be drawn from the biomedical and public health literature. Emphasis will be placed on methods and models most useful in clinical research.


PHST 681 Biostatistical Methods II
A mathematically sophisticated introduction to: general linear models; regression; correlation; analysis of covariance; one and two-way analysis of variance; and multiple comparisons. Matrix algebra is required. Data sets will be analyzed using statistical computer packages; examples will be drawn from the biomedical and public health literature. Emphasis will be placed on methods and models most useful in clinical research.


PHST 620 Introduction to Statistical Computing (SAS)
This course addresses fundamentals of statistical computing with special emphasis on software tools employed most often in biostatistics.


PHST 624 Clinical Trials I
Prerequisite: Enrolled in BDSCMS BIO, CISCCCI, CISCMSC, MD/MSc. Phases of Trials, Ethical Issues, Basic Design, Inclusion and Exclusion criteria, Randomization and Blinding, Sample Size, Monitoring Response Variables, and Issues in Data Analysis


PHST 625 Clinical Trials II
Prerequisite: PHST 624 and enrolled in BDSCMS BIO, CISCCCI, CISMSC, MD/MSc. Sample Size and Power Analysis, Survival Analysis, Sequential Design, Meta Analysis, Reporting and Interpreting of Results, Multicenter Trails. SPSS will be used.


PHST 684 Categorical Data Analysis
Focuses on statistical methods for analyzing categorical data; topics include inference for two-way contingency tables; models for binary response variables, including logistic and logit models; models for ordinal data; mutinominal response data; and analysis of repeated categorical response data. Emphasis will be placed on methods and models most useful in clinical research.


PHST 640 Statistical Methods for Research Design in Health Sciences
Statistical methods for clinical research and interpretation for the literature.


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