COURSE CURRICULUM

The Master of Applied Computer Science (MACS) program at StFX offers a diverse range of graduate-level courses designed to equip students with advanced skills across multiple areas of computer science. Core and elective courses cover topics such as real-time systems, high-performance computing, software engineering, mobile application design and development, embedded systems, and mobile robotics, allowing students to explore both hardware- and software-focused disciplines. Advanced data-focused courses include big data, data mining and machine learning, machine learning design, advanced data analytics, reinforcement learning, and natural language processing, providing the knowledge needed to work with complex datasets and intelligent systems. The program also emphasizes theoretical and foundational aspects of computer science through courses in theory of computing, representing and reasoning, specification and verification, computational logic, approximation algorithms, and matrix computation. Additional specialized areas include artificial intelligence, evolutionary computation, biomedical computation, computer and network security, computer graphics, advanced database systems, and constraint processing and heuristic research, offering students opportunities to develop expertise in cutting-edge fields. Practical experience and professional skills are reinforced through the graduate seminar, project-based courses, and options for workplace-based projects or co-operative education, ensuring students gain applied experience alongside theoretical knowledge. This comprehensive curriculum prepares graduates for careers in industry or further research in computer science.