Program overview
Admission Requirements
Intakes
Program overview

Program overview

The Master of Computer Science in Applied Artificial Intelligence (MCS AAI) program at UNF is designed to equip students with the latest skills in artificial intelligence, preparing them for real-world challenges. This program emphasizes innovation and problem-solving, enabling graduates to lead advancements in technology. Students can choose to study either online or on-campus, ensuring flexibility and accessibility while receiving a high-quality education. The curriculum focuses on practical applications of AI, making it a valuable choice for those looking to make a significant impact in the tech industry.

Program structure

The Master of Computer Science in Applied Artificial Intelligence program is structured to be completed in a 18-month timeframe. The program offers various delivery methods, including:

  • On-campus
  • Online
  • Hybrid (based on program availability)

Students can expect a comprehensive learning experience that includes:

  • A structured academic calendar with four terms per year
  • Interactive learning environments with a mix of individual and group assessments
  • Hands-on opportunities through labs and real-world projects
  • Work-Integrated Learning (WIL) experiences, including internships and capstone projects

This program is designed to provide students with both theoretical knowledge and practical skills, ensuring they are well-prepared for careers in the rapidly evolving field of artificial intelligence.

Featured Experiences

The Master of Computer Science in Applied Artificial Intelligence program offers several unique experiences that enhance learning and professional development:

  • Internship: Students participate in an internship that combines structured learning with real-world experience, allowing them to apply their knowledge in a practical setting.
  • Capstone Project: A major consulting project where students work with external clients, focusing on project management and execution under faculty supervision.
  • Hands-on Learning: The program includes labs and specialized equipment, providing students with practical experience in AI applications.
  • Collaborative Environment: On-campus learning emphasizes group projects, discussions, and presentations, fostering teamwork and communication skills.
  • Ethical Considerations: A dedicated course on ethical implications of AI ensures students understand the societal impacts of their work.

Career Options

Graduates of the Master of Computer Science in Applied Artificial Intelligence program can pursue a variety of career paths in Canada, including:

  • Software Engineer (AI Focus): Develops software solutions with a focus on AI technologies, ensuring systems are efficient and effective.
  • AI Specialist: Works on implementing AI solutions within organizations, optimizing processes and enhancing decision-making.
  • Data Scientist: Analyzes complex data sets to extract insights and inform business strategies, often utilizing machine learning techniques.
  • AI Engineer: Designs and builds AI models and systems, focusing on scalability and performance in real-world applications.
  • Machine Learning Engineer: Specializes in creating algorithms that enable machines to learn from data, improving their performance over time.

These roles are in high demand across various sectors, including technology, healthcare, finance, and manufacturing, reflecting the growing need for skilled professionals in the field of artificial intelligence.

 

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