Learn more about the academic programs we are delivering in Fall 2025. If you have any questions about part-time studies, please contact us.
Course 1: Programming Essentials - BIF601
First course in the Data Analytics in Bioinformatics program.
Knowing how to program will allow a bioinformatics researcher to write code to manage and analyze data sets. This seven-week course will teach the fundamentals of the Python programming language. The Python language has been chosen for its easy-to-learn nature and its widespread use in bioinformatics and related industries. The course will commence by teaching basics such as variables and types, conditionals and loops followed by more advanced topics like object-oriented code, methods and libraries.
Course 2: Intro to Data Modelling - BIF602
Second course in the Data Analytics in Bioinformatics program.
This course focuses on introducing students to the fundamentals of data modelling. Students will get familiar with different data storage models, learn to manipulate data using SQL and get an overview of currently existing biological databases. Further into the course, students will get exposed to the statistics principles helpful in data analysis, as well as machine learning fundamentals. Students will also cover the most popular ML algorithms and modelling best practices in depth. The course goal is to equip students with a solid base to be able to handle data science projects end-to-end.
Course 3: Bioinformatic Methodology - BIF603
Third and final course in the Data Analytics in Bioinformatics program.
In this collaborative and interactive course, students will gain a professional insight into the methodologies that are widely used by bioinformatics experts to understand biological data. By exploring different data types, students will be introduced to the basic problems and objectives common in the bioinformatics field, as well as the skills and tools that a bioinformatics scientist/analyst needs in order to accomplish these objectives.
Upon successful completion of all three courses within the program, students will receive a certificate of completion.
System Requirements:
For more information, please contact Teresa Artuso at teresa.artuso@senecapolytechnic.ca.
Interested in learning more?
Students are invited to attend an information session to learn more about the program and to connect with our team.
Data Analytics in Bioinformatics Information Session
Wednesday, September 24, 2025
12:00 p.m. - 1:00 p.m.
Location: Zoom
Confirmation of registration and a unique link to join the information session will be provided upon registration.