Certificate in Biostatistics

2 Semesters

15 Credits
Full-Time or Part-Time

A custom tailored program that takes your data analytic capabilities to the next level.

What You’ll Learn

Students enrolled the Biostatistics Certificate will be provided solid training in up-to-date techniques for the most demanding data analysis for biomedical research. Linear models, nonparametric approaches, and survival analysis are just a few examples. The training is based on rigorous theoretical foundation and introduction to modern computational tools.

Each student will be paired with an academic advisor with whom they will work to design a custom curriculum and plan for completion. The Certificate is offered on a full-time and part-time basis. The curriculum will be designed on a case-by-case basis in consultation with an academic advisor.

Certificate Requirements

Students are required to complete 5 required courses (12 credits) and 3 credits of electives. Students are required to complete a total of 15 credits.

BIST 510: Probability and Sampling
3 credits | Fall Semester
Course Instructor:

BIST 511: Statistical Inference
3 credits | Fall Semester
Course Instructor:

BIST 512: Categorical Data Analysis 
3 credits | Spring Semester
Course Instructor:

BIST 515: Introduction to Statistical Software
3 credits | Fall Semester
Course Instructor:

BIST 919: Independent Study
1 credit | Spring Semester
Course Instructor:

BIST 514: Linear Models and Multivariate Analysis
3 credits | Spring Semester
Course Instructor:

BIST 532: Machine Learning for Bioinformatics 
3 credits | Spring Semester
Course Instructor:

BIST 540: Experimental Design/Clinical Trials
3 credits | Spring Semester
Course Instructor:

Example Course Schedules

The following are example course schedules. The curriculum and course schedule will be designed on a case-by-case basis in consultation with an academic advisor.

Year 1, Fall Semester
BIST 510: Probability and Sampling
BIST 511: Statistical Inference
BIST 515: Introduction to Statistical Software

Year 1, Spring Semester
BIST 512: Categorical Data Analysis 
BIST 919: Independent Study
BIST 532: Machine Learning for Bioinformatics 

Year 1, Fall Semester
BIST 510: Probability and Sampling
BIST 511: Statistical Inference

Year 2, Spring Semester
BIST 512: Categorical Data Analysis 
BIST 919: Independent Study

Year 2, Fall Semester
BIST 515: Introduction to Statistical Software

Year 2, Spring Semester
BIST 532: Machine Learning for Bioinformatics