Artificial Intelligence and Machine Learning post-baccalaureate diploma
Artificial Intelligence (AI) is a rapidly growing and evolving field in Canada and globally. Artificial Intelligence and Machine Learning knowledge and skills are highly desirable competencies throughout an increasing number of markets and industries including technology, medicine, entertainment, education, and more.
This program is designed for students who have already completed a 3-4-year bachelor’s degree and are interested in diversifying their skillset and career opportunities.
Graduates will be well-positioned to meet local, regional, and national demand for professionals with knowledge and skills in Artificial Intelligence and machine learning in existing and emerging industries.
Entrance requirements
A 3- or 4-year undergraduate degree from a recognized post-secondary institution in any discipline, in any language, with a minimum 60%, or C, average in the last 60 credits or equivalent taken.
Applicants must meet the Degree/diploma level English language proficiency requirement. For details on how this requirement may be met, see the English language proficiency requirement section of the calendar.
Note: Additional courses or waivers may be required to meet course prerequisites. Students should contact an Academic Advisor with questions and to discuss their options.
Additional documents required for a complete application:
Official transcripts (or interim transcripts) from all post-secondary institutions attended (excluding Âé¶¹´«Ã½) showing grade/course achievement as per entrance requirements. To be considered official, transcripts must be sent directly to UFV from the originating institution; see the Transfer Credit section for details.
Applicants whose previous degree is not from an English-speaking education system must provide evidence that they have met the Degree/diploma level English language proficiency requirement.
Applicants will be advised of an admission decision and, if accepted, will be provided with registration information. A deposit is required prior to registration (see the Fees and Other Costs section) and will be applied toward tuition fees.
Basis for admission decision
Applicants who meet the entrance requirements will be admitted in order of their application date. This date is set when an application, all required documentation, and the application fee have been submitted.
The Artificial Intelligence and Machine Learning post-baccalaureate diploma can be completed in four full-time semesters. Program completion will require 48 credits with a cumulative GPA of 2.00. Part-time study and prior learning assessment and recognition (PLAR) are also possible.
Location
Courses will be offered on the Abbotsford or Chilliwack campus. Some courses are available online.
Program outline
The following 14 courses (48 credits) must be completed with a cumulative GPA of 2.00.
Course
Title
Credits
CIS 190
System Hardware Concepts
3
CIS 192
Introduction to Networking
4
CIS 270
Analysis and Design
3
CIS 385
Project Management
3
COMP 150
Introduction to Programming
4
COMP 155
Object-oriented Programming
4
COMP 230
Databases and Database Management Systems
3
COMP 251
Data Structures and Algorithms
4
COMP 361
Introduction to Robotics
3
COMP 380
Introduction to Artificial Intelligence
3
COMP 381
Introduction to Machine Learning
3
COMP 430
Advanced Database Topics
3
MATH 125
Introduction to Discrete Mathematics
4
STAT 106
Statistics I
4
Undergraduate continuance
Students enrolled in undergraduate courses (courses numbered 100 or higher) must maintain a Cumulative Grade Point Average (CGPA) of at least 2.00 to remain enrolled in Good Academic Standing at Âé¶¹´«Ã½.
Students in Good Academic Standing will have no registration limits placed on them. Failure to meet the minimum CGPA requirement will result in restrictions on registration and may eventually lead to academic suspension from studies at Âé¶¹´«Ã½. Students on Academic Warning or Academic Probation are limited to registering in 10 credits. For further details, see the Academic standing and undergraduate continuance section of the academic calendar. Academic standing is governed by Âé¶¹´«Ã½'s .
Course repetition
Students are not permitted to register for the same course more than three times. Students wishing to register for a course for a fourth time should connect with the Student Rights and Responsibilities Office. Where a course has been repeated, only the higher grade is counted in the GPA calculation.
Readmission
As this is a cohort program, readmission following a stoppage in studies is at the discretion of the dean and dependent on space in the appropriate semester of registration.
Residency
Students must complete at least 50% of the course work at Âé¶¹´«Ã½. Courses taken at partnering universities through an approved Study Abroad student exchange may be used to meet residency requirements.
Graduation requirements
Students are responsible for ensuring they are eligible to graduate, and should regularly consult with an Academic Advisor. To be eligible to graduate, students must maintain a semester and cumulative GPA of 2.00 (C average).
Students must apply for graduation in the first month of their final semester. Visit the Graduation webpage for more information. The final deadline for students who wish to attend the June Convocation ceremony is April 1 of each year, with all program requirements completed by April 30.