We have designed the academy as a 1-credit course, BIST 5092. This two-week summer academy will be an immersive, collaborative, dynamic and academic experience for students who are planning to pursue a career as a statistician/programmer in pharmaceuticals and health analytics. The course will teach the basics in pharmaceutical statistics using a project-based learning approach. The content of the course is heavily enriched by real drug examples across different therapeutic area. Students will learn by actively engaging in real-world project for drug development. We hope to bring many of the tools, the newer designs and methods which are used in practice but are rarely covered in school, directly to the students who can benefit from learning them and finding their passion in such a role. It will also cover the use of the software in design and analysis of clinical trials. This course is specifically designed for our current BIST MS students and is also open to STAT MS, PhD and UG students, including non-UConn students (non-BIST students), please see course registration instruction below for more details.
In addition to the instruction time between July 8 - July 19 and the project presentation on August 2, the course also includes your registration for a two-day conference, Statistics in Pharmaceuticals (SIP2024). The SIP2024 conference is sponsored by BeiGene, Bristol Myers Squibb and Servier. The sponsor companies, together with UConn Department of Statistics and UConn Center for Career Development, organize and provide the programs for the 2-day conference SIP2024 on August 15-16.
At the end of the summer program, you will receive an official UConn transcript for taking BIST 5092. Selected course projects will be presented during the 2-day conference. We expect that you will benefit from the academy and you can add this experience to your resume.
UConn students should register for BIST 5092 through Student Admin. Non-BIST students' email tracy.burke@uconn.edu for permission number to enroll.
Non-UConn students need to register through https://nondegree.uconn.edu/ prior to enrolling. The Registrar will email you with instructions on how to access the system and register for classes. Please email tracy.burke@uconn.edu if you have any questions.
The course will teach the basics in pharmaceutical statistics using a project-based Learning approach. The content of the course is heavily enriched by real drug examples across different therapeutic area. And the students will learn by actively engaging in real-world project for drug development. It will also cover the use of the software in design and analysis of clinical trials.
For 2024, the course will be delivered fully remote. Students can choose to be fully remote during the course. On July 8, 2024, there will be a virtual introduction at 12:30 pm EST where the students can introduce themselves, get to know the instructors and each other.