The Post-Baccalaureate Certificate in Data Analytics will be awarded upon completion of four (4) courses (12 credits). Students are required to complete the following core courses:
And one of the following elective courses:
The core course, Object Structure and Programming, focuses on the design and analysis of efficient data structures and algorithms, and discusses the fundamental concepts, principles, and techniques for effective programming, algorithm analysis, and design. Data Mining is a hands-on course where learners will interact with structured and unstructured data to solve complex problems with applications in sectors such as healthcare, business, and education. Learning Analytics and Knowledge is intended to provide an overview of how analytics are used in different educational, corporate, government, and non-governmental organization (NGO) settings.
The option course Enterprise Information Management looks at databases, how they fit into an organization, what needs they seek to address and what can be done with them. This option is for those who are looking to understand the information needs of an organization and will expore how and when such information is needed. The course emphasizes being able to manage information in a manner that benefits an organization. This option will be required for those students who do not already have equivalent competency, since such competency is a prerequisite to taking COMP 682 course.
The option course Artificial Intelligence looks at using data "intelligently" to solve complex problems and to provide more natural and effective services to human beings. The emphais in this course is on advance search, reasoning and decision-making under uncertainty, and machine learning.
Permission of the program director is required before courses are taken for PBC DA program credit outside Athabasca University.
Updated January 29 2016 by PBCDA Administrative Staff