Post-Baccalaureate Diploma in Artificial Intelligence and Machine Learning Applications

Artificial Intelligence and Machine Learning Applications

Graduation Requirements:

In order to graduate with the Post-Baccalaureate Diploma in Artificial Intelligence and Machine Learning Applications, students must obtain a minimum overall average of 60% on all courses presented for the diploma.

Program Requirements:

To graduate with a Post-Baccalaureate Diploma in Artificial Intelligence and Machine Learning Applications, students must complete 48 credits as follows:

All of the following 21 cr. Post-Baccalaureate Core:

COSC 3007	Artificial Intelligence	3 cr.
COSC 3206	Computational Theory	3 cr.
COSC 3207	Computer Graphics	3 cr.
COSC 3306	Programming Paradigms	3 cr.
COSC 3606	Databases and Database Management	3 cr.
DATA 3006	Machine Learning	3 cr.
PHIL 2816	Digital Ethics	3 cr.

21 cr. from the following Advanced Computer Science courses:

COSC 3106	Human Computer Interaction	3 cr.
COSC 3307	3D Computer Graphics	3 cr.
COSC 3406	Advanced Game Design and Development	3 cr.
COSC 3657	Distributed Systems	3 cr.
COSC 4206	Topics in Computing Science	3 cr.
COSC 4207	Seminars in Computer Science	3 cr.
COSC 4406	Software Engineering	3 cr.
COSC 4607	Security and Protection	3 cr.

6 credits from the following (if not already used to satisfy above):

Upper level COSC
DATA 3016	Tools and Techniques in Data Science	3 cr.
DATA 4006	Data Analytics	3 cr.
GEOG 4027	Spatial Computing	3 cr.

Nipissing University
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