the post-baccalaureate diploma in applied data science program is designed to help meet the rising demand for data scientists and analysts, while providing specialized training in the area. this program directly addresses the provincial and national shortage of skilled labour in the field of applied data science.

the post-baccalaureate diploma in applied data science is a 60-credit, two-year program that prepares graduates for careers in the vast data science industry. with a focus on achieving personal and professional success by developing strong analytical, technical and professional skills, graduates build robust foundations in the principles and practice of statistical techniques and computing technologies.

this program is open to domestic and international students who already have an undergraduate degree. students can upgrade their education by developing the skill sets necessary to build a career in either the private or public sectors.

students will learn how to: 

• apply statistical techniques such as regression, error analysis, statistical learning and model validation to transform data into meaningful form.
• use data exploratory methods to visualize high-dimensional data to identify trends and patterns in data sets.
• evaluate and select appropriate algorithms in a variety of data analytic stages on various properties, including efficiency.
• discover the fundamentals of machine learning including selecting and augmenting existing approaches.
• manipulate data in a variety of formats to identify answers to a variety of questions.
• explore, contribute to and analyze information with databases.
• perform a variety of analyses on common formats of data to extract meaningful information.
• understand and implement appropriate ethics surrounding aspects of modern data.
• apply techniques to collect and extract datasets.

graduates leave the program with the necessary skill sets to compete for opportunities in the field of applied data science and data analytics, in jobs related to:

• data analyst
• business analyst
• data and analytics manager
• database administrator
• and more!