Post-Baccalaureate Diploma in Artificial Intelligence & Machine Learning Applications
Post-Baccalaureate Diploma Overview
International Students
Master AI Technologies. Build Real World Algorithms. Propel Your Career in an Evolving Field.
Nipissing University’s two-year Post-Baccalaureate Diploma in Artificial Intelligence and Machine Learning Applications is designed for students who already have a bachelor’s degree in any discipline and some programming or STEM background. This program prepares graduates to design, implement, and evaluate AI systems and machine learning solutions, ideal for career changers, professionals seeking advanced digital skills, or international students looking for Canadian credentials in high-growth fields.
Program Highlights
Students will begin with foundational computing and data science courses that cover programming fundamentals, algorithms, data management, and relational databases. They will then progress into specialized artificial intelligence and machine learning coursework, exploring topics such as machine learning techniques, deep learning, natural language processing, computer vision, and ethics in AI.
Throughout the program, students will develop applied technical skills through hands-on labs using industry-standard tools such as TensorFlow, PyTorch, Git, and Jupyter Notebook. The program concludes in a final project or capstone experience that may involve real-world datasets, cross-disciplinary collaboration, or supervised independent research. Students learn in small cohorts and benefit from close mentorship from faculty and guest speakers from industry.
Resources
Why Nipissing's Post-Baccalaureate Diploma in Artificial Intelligence & Machine Learning Applications Program?
Comprehensive AI & ML Curriculum
Learn Python programming, data structures, statistical modeling, deep learning, reinforcement learning, natural language processing, computer vision, and AI ethics.
Designed for Non-STEM & STEM Graduates Alike
Whether you come from arts, science, or another field, you’ll gain structured breadth and depth across AI disciplines.
Flexible Delivery for Diverse Learners
Study via online and in-person classes, combining convenience with industry-relevant hands-on labs or project work.
Career-Ready Focus with Capstone Experience
Demonstrate your skills via a final capstone, client project, or industry-aligned deliverable, helping build your professional portfolio.
Post-Baccalaureate Admission
To qualify for admission for Post-Baccalaureate Certificates or Diploma, applicants must possess an undergraduate degree, plus additional requirements.
Find these additional requirements and details by using the College/University Transfer Admission button below, select transferring from University and choose the Certificates or Diploma you want to apply to.
Future Careers
Upon graduation, students will be equipped for roles such as:
- Machine Learning Engineer, Data Scientist, or AI Developer
- AI/ML Specialist or AI Research Analyst
- Data Analyst, Business Intelligence Developer, or Big Data Architect
- Digital technology roles in finance, healthcare, marketing, retail, public sector, or consulting industries
- Preparation for graduate study in computer science, data science, or artificial intelligence.
This credential builds a bridge into high-demand fields and supports further academic or professional advancement.
Real People, Real Impact
I really enjoy the supportive professors and engaging classes in my program, which make the learning environment very positive and motivating.
Vvuddhi S.
Class of 2026
What I enjoy most about my program is the opportunity to expand my knowledge and apply it to real-world practice. The courses challenge me to think critically while helping me grow both professionally and personally.
Gabby S.
Class of 2027
Program Requirements
Program & Graduation Requirements
Find required courses for this program and graduation requirements.
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Disclaimer:
While every effort is made to ensure accuracy on this site, in the event of a discrepancy, Nipissing’s Academic Calendar is the official reference.