Step confidently into the future of technology
If you enjoy digging into both why and how things work in the fast-paced world of tech, a career in applied computing may be for you. As the only program of its kind in northern Ontario, the Bachelor of Applied Computing offers a unique opportunity to gain the industry skills and experience employers are seeking to stand out in a competitive industry.
In your first two years, you'll build a strong foundation in computer science principles while gaining hands-on experience through applied learning. By your third year, you’ll choose one of three specializations that aligns with your interests and career goals: Artificial Intelligence, Cybersecurity, or Data Analytics.
A paid internship will round out your studies and put your research and analysis skills to work while you form valuable industry connections that can help launch your career.
Program highlights
- First and only college in northern Ontario to offer a degree in applied computing
- Specializations are unique to our program – choose to gain a deeper understanding of artificial intelligence, cybersecurity, or data analytics
- Hands-on applied learning will make you career-ready
- One semester paid internship
- Entrance scholarships – up to $2,000
- Ability to pursue a master’s degree upon graduation
Program of study for the 2026-27 Academic Year
After a common first 2 years, students will select a specialized stream according to their desired areas of interest. Students will choose to deepen their understanding of Artificial Intelligence, Cybersecurity or Data Analytics. The program of study for semesters 5 on-ward are outlined under Program Streams.
| First Year | ||
|---|---|---|
| Semester 1 | Credits | |
| ANA 3720 | Discrete Math | 3 |
| CMP 1301 | IT Essentials | 3 |
| CMP 1311 | Principles of Programming | 3 |
| CMP 1360 | Technical Writing | 3 |
| CMP 1361 | Professional Ethics | 3 |
| NET 1311 | Fundamentals of Networking | 3 |
| Credits | 18 | |
| Semester 2 | ||
| CMP 2312 | Object Oriented Programming | 3 |
| CMP 2331 | Intro to Software Engineering | 3 |
| CMP 2341 | Database Systems | 3 |
| CMP 4301 | Computer Systems Architecture | 3 |
| MTH 3301 | Statistics | 3 |
| NET 2312 | IoT Fundamentals | 3 |
| Credits | 18 | |
| Second Year | ||
| Semester 3 | ||
| ANA 3301 | Intro to Data Analysis | 3 |
| CMP 3321 | Web Development I | 3 |
| CMP 3332 | System Analysis and Design | 3 |
| CMP 3351 | Data Structures and Algorithms | 3 |
| MTH 2302 | Applied Mathematics | 3 |
| NET 3313 | Intro to Cybersecurity | 3 |
| Credits | 18 | |
| Semester 4 | ||
| CMP 2301 | Operating Systems | 3 |
| CMP 4322 | Web Development II | 3 |
| AIE 4301 | Intro to AI | 3 |
| CMP 4333 | Modern Software Testing | 3 |
| NET 4314 | Cloud Computing | 3 |
| One Degree Breadth Elective Course 1 | 3 | |
| Credits | 18 | |
| Total Credits | 72 | |
- 1
Students must select a total of two (2) degree breadth electives from at least two (2) different categories as part of the Bachelor Applied Computing program. One (1) breadth elective must be an advanced/upper-level course (represented by course codes beginning in 39xx). These upper-level courses are only available in Year 3 of the program. For more information regarding degree breadth electives, click here.
Specializations
After a common first 2 years, students will select a specialized stream according to their desired areas of interest. Students will choose to deepen their understanding of Artificial Intelligence, Cybersecurity or Data Analytics.
Artificial Intelligence
Program of study for semesters 5-7
| Third Year | ||
|---|---|---|
| Semester 5 | Credits | |
| CMP 5334 | Project Management | 3 |
| CMP 5371 | Project Proposal | 3 |
| AIE 1005 | Full Stack Data Science | 3 |
| AIE 1006 | Deep Learning | 3 |
| AIE 1009 | Machine Learning | 3 |
| One Degree Breadth Elective Course 1 | 3 | |
| Credits | 18 | |
| Semester 6 | ||
| CMP 6362 | Business Essentials | 3 |
| CMP 6372 | Project Implementation | 3 |
| AIE 1007 | Natural Language Processing | 3 |
| AIE 1008 | Image Recognition | 3 |
| AIE 1011 | AI Ethics | 3 |
| AIE 1017 | Generative AI and Large Language Models | 3 |
| Credits | 18 | |
| Semester 7 | ||
| CMP 7373 | Applied Computing Internship | 12 |
| Credits | 12 | |
| Total Credits | 48 | |
- 1
-
Students must select a total of two (2) degree breadth electives from at least two (2) different categories as part of the Bachelor Applied Computing program. One (1) breadth elective must be an advanced/upper-level course (represented by course codes beginning in 39xx). These upper-level courses are only available in Year 3 of the program. For more information regarding degree breadth electives, click here.
Cybersecurity
Program of study for semesters 5-7
| Third Year | ||
|---|---|---|
| Semester 5 | Credits | |
| CMP 5334 | Project Management | 3 |
| CMP 5371 | Project Proposal | 3 |
| CSC 7303 | Network Defense | 3 |
| CSC 7304 | Business Contingency Planning | 3 |
| CSC 7305 | CSEC Policies and Compliance | 3 |
| One Degree Breadth Elective Course 1 | 3 | |
| Credits | 18 | |
| Semester 6 | ||
| CMP 6362 | Business Essentials | 3 |
| CMP 6372 | Project Implementation | 3 |
| CSC 7310 | IT Security Forensics | 3 |
| CSC 7311 | Ethical Hacking | 3 |
| CSC 7314 | Cloud Security and Prevention | 3 |
| CSC 7315 | Security Operations Centre | 3 |
| Credits | 18 | |
| Semester 7 | ||
| CMP 7373 | Applied Computing Internship | 12 |
| Credits | 12 | |
| Total Credits | 48 | |
- 1
-
Students must select a total of two (2) degree breadth electives from at least two (2) different categories as part of the Bachelor Applied Computing program. One (1) breadth elective must be an advanced/upper-level course (represented by course codes beginning in 39xx). These upper-level courses are only available in Year 3 of the program. For more information regarding degree breadth electives, click here.
Data Analytics
Program of study for semesters 5-7
| Third Year | ||
|---|---|---|
| Semester 5 | Credits | |
| CMP 5334 | Project Management | 3 |
| CMP 5371 | Project Proposal | 3 |
| AIE 1009 | Machine Learning | 3 |
| ANA 7303 | Data Collection and Ethics | 3 |
| ANA 7312 | GIS and Data Visualization | 3 |
| One Degree Breadth Elective Course 1 | 3 | |
| Credits | 18 | |
| Semester 6 | ||
| CMP 6362 | Business Essentials | 3 |
| CMP 6372 | Project Implementation | 3 |
| ANA 7304 | Dashboards and Data Modelling | 3 |
| ANA 7311 | Storytelling with Data | 3 |
| MKT 7300 | Data Mining and Mkt Analytics | 3 |
| QMM 7311 | Advanced Stats for Analytics | 3 |
| Credits | 18 | |
| Semester 7 | ||
| CMP 7373 | Applied Computing Internship | 12 |
| Credits | 12 | |
| Total Credits | 48 | |
- 1
Students must select a total of two (2) degree breadth electives from at least two (2) different categories as part of the Bachelor Applied Computing program. One (1) breadth elective must be an advanced/upper-level course (represented by course codes beginning in 39xx). These upper-level courses are only available in Year 3 of the program. For more information regarding degree breadth electives, click here.
Admission requirements
To be eligible to enter the Bachelor of Applied Computing program, applicants must be graduates of the Ontario Secondary School Diploma (OSSD; 30 credits) (or equivalent), must complete at least six grade 12 U/M courses (or equivalent) with a minimum overall average of 65%, including two (2) required U-level courses and four (4) additional U or M-level courses. Alternatively, applicants must meet mature student status.
The following are the program-specific prerequisite requirements:
- Any grade 12 English (U) (minimum 65%)
- One (1) Grade 12 Mathematics course from the following: Calculus and Vectors (MCV4U) OR Advanced Functions (MHF4U) OR Mathematics of Data Management
(MDM4U) (minimum 65%) - Four (4) other Grade 12 U or M courses
Program delivery
2026-2027
Fall term start
SEMESTER 1: Fall 2026
SEMESTER 2: Winter 2027
SEMESTER 3: Fall 2027
SEMESTER 4: Winter 2028
SEMESTER 5: Fall 2028
SEMESTER 6: Winter 2029
SEMESTER 7: Spring 2029
Specific program pathways
College/university degree opportunities
Graduates from this program may continue their studies at college/university and may receive credit for their prior College education.
Refer to College/University Agreements for further information.
Employment opportunities
Potential employment opportunities include:
- Application developer
- Full-stack developer
- Software engineer or designer
- IT project coordinator
- Information systems analyst/consultant
- Information security specialist
- SOC analyst/security analyst
- Malware analyst
- Cloud security specialist
- Machine learning engineer
- Data scientist
- Data or business analyst
- Data miner
- Networking administrator
- Database administrator or analyst
Please note: Cambrian College strives to ensure the accuracy of the information on this website. Please note that the academic curriculum is continually reviewed and revised to ensure that Cambrian's programs and courses remain relevant. The College reserves the right to cancel or make changes to any course or program, fee, procedure, or campus location at any time.
