QUICK FACTS
Credential:
Post-baccalaureate diploma
Duration:
48 credits (14 courses)
Format:
Full time, Part time
Start date:
September
Location:
Abbotsford campus
Cost:
(Details)
FEATURES:
- Some courses may be completed online
- Complete the program in four semesters if you study full-time or choose to study part-time if needed. Incoming international students can qualify for entrance scholarships based on academic performance.
PROGRAM DESCRIPTION
Artificial Intelligence (AI) is a rapidly growing and evolving field, one that is becoming a critical tool in existing and emerging industries — including technology, medicine, entertainment, education, and beyond.
UFV's AI and Machine Learning post-baccalaureate diploma will give you the knowledge and skills to meet the growing demand for professionals trained to harness the power of AI and machine learning using computing and information systems skills.
This program may be right for you if:
- you already hold a three/four-year bachelor's degree
- want to diversify your skillset and career opportunities
Program outline — post-baccalaureate diploma in AI and Machine Learning
You'll complete the following courses:
|
Course |
Title |
Credits |
|
CIS 190 |
Systems Hardware Concepts |
3 |
|
CIS 192 |
Introduction to Networking |
4 |
|
CIS 270 |
Analysis & 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 |
See the Program schedules page for a guide to which courses to take in a given semester.
CAREER EXPECTATIONS
This program equips students for careers leveraging machine learning, data science, and AI technologies. Graduates may seek roles such as:
- Machine Learning Engineer
- AI Research Scientist
- Data Scientist
- AI/ML Consultant
- Computer Vision Specialist
- Natural Language Processing (NLP) Engineer
- Business Intelligence Analyst
- AI Solutions Architect
- Robotics Engineer
Wondering which roles are in the highest demand? The BC Labour Market Outlook identifies several computing professions as high opportunity occupations. These roles project excellent employment rates and strong wages:
- Information systems analysts and consultants
- Computer programmers and interactive media developers
- Software engineers and designers
The computing marketplace is always changing. To make sure students graduate with in-demand skills, the School of Computing meets with an advisory committee. This diverse committee includes industry experts from both the private and public sectors. Their expertise helps shape courses and programs to keep them timely and innovative.
ENTRANCE REQUIREMENTS
View entrance requirements in the Academic Calendar.
OTHER ADMISSION CATEGORIES
This program is open for international students: How to apply
LEARNING OUTCOMES
- Use current techniques, skills, and tools necessary for Information Systems and Technology.
- Analyze the local and global impact of computing on individuals, organizations, society, and Indigenous contexts.
- Employ interpersonal, teambuilding, and leadership skills to solve problems independently and in diverse teams.
- Apply ethical considerations in information systems practice.
- Apply concepts of computing and mathematics appropriate to AI and Machine learning.
- Employ various platforms and devices to collect and train big data in different business domains.
- Design user interfaces to improve human–AI interaction and real-time decision-making.
- Create an optimal solution using AI, data mining, and machine learning tools for complex problems.
QUESTIONS?
Phone: 604-504-7441 ext. 4211
Toll free: 1-888-504-7441 ext. 4211
Email: computing.assistant@ufv.ca