Doctor of Philosophy In Computer Science

at McGill University

Required Courses
 

• COMP 700 Ph.D. Comprehensive Examination

• COMP 701 Thesis Proposal and Area Examination (3 credits)

Complementary Courses

18-24 credits selected from:

Category A: Theory and Applications
 

• COMP 523 Language-based Security (3 credits)

• COMP 524 Theoretical Foundations of Programming Languages (3 credits)

• COMP 525 Formal Verification (3 credits)

• COMP 531 Advanced Theory of Computation (3 credits)

• COMP 540 Matrix Computations (4 credits)

• COMP 547 Cryptography and Data Security (4 credits)

• COMP 552 Combinatorial Optimization (4 credits)

• COMP 554 Approximation Algorithms (4 credits)

• COMP 560 Graph Algorithms and Applications (3 credits)

• COMP 561 Computational Biology Methods and Research (4 credits)

• COMP 564 Advanced Computational Biology Methods and Research (3 credits)

• COMP 566 Discrete Optimization 1 (3 credits)

• COMP 567 Discrete Optimization 2 (3 credits)

• COMP 598 Topics in Computer Science 1 (3 credits)

• COMP 599 Topics in Computer Science 2 (4 credits)

• COMP 610 Information Structures 1 (4 credits)

• COMP 618 Bioinformatics: Functional Genomics (3 credits)

• COMP 627 Theoretical Programming Languages (4 credits)

• COMP 642 Numerical Estimation Methods (4 credits)

• COMP 647 Advanced Cryptography (4 credits)

• COMP 649 Quantum Cryptography (4 credits)

• COMP 680 Mining Biological Sequences (4 credits)

• COMP 690 Probabilistic Analysis of Algorithms (4 credits)

• COMP 760 Advanced Topics Theory 1 (4 credits)

• COMP 761 Advanced Topics Theory 2 (4 credits)

Category B: Systems and Applications
 

• COMP 512 Distributed Systems (4 credits)

• COMP 520 Compiler Design (4 credits)

• COMP 521 Modern Computer Games (4 credits)

• COMP 522 Modelling and Simulation (4 credits)

• COMP 526 Probabilistic Reasoning and AI (3 credits)

• COMP 529 Software Architecture (4 credits)

• COMP 533 Model-Driven Software Development (3 credits)

• COMP 535 Computer Networks 1 (4 credits)

• COMP 546 Computational Perception (4 credits)

• COMP 557 Fundamentals of Computer Graphics (4 credits)

• COMP 558 Fundamentals of Computer Vision (4 credits)

• COMP 575 Fundamentals of Distributed Algorithms (3 credits)

• COMP 598 Topics in Computer Science 1 (3 credits)

• COMP 599 Topics in Computer Science 2 (4 credits)

• COMP 612 Database Programming Principles (4 credits)

• COMP 614 Distributed Data Management (4 credits)

• COMP 621 Program Analysis and Transformations (4 credits)

• COMP 652 Machine Learning (4 credits)

• COMP 655 Distributed Simulation (4 credits)

• COMP 667 Software Fault Tolerance (4 credits)

• COMP 762 Advanced Topics Programming 1 (4 credits)

• COMP 763 Advanced Topics Programming 2 (4 credits)

• COMP 764 Advanced Topics Systems 1 (4 credits)

• COMP 765 Advanced Topics Systems 2 (4 credits)

• COMP 766 Advanced Topics Applications 1 (4 credits)

• COMP 767 Advanced Topics: Applications 2 (4 credits)

Note: Each year the Ph.D. Committee will determine which category COMP 598 and COMP 599 belong to according to the subjects taught in those courses.

• Students must be qualified with a master’s degree in Computer Science or related field from a recognized institution.

• The related fields include a UG degree in Artificial Intelligence, Big Data, Biomedical Engineering, Computer Graphics, Computer Security, Computer Vision, Data Science, Human-Centered Computing, and computer information systems.

• In addition, those admitted must have completed the equivalent of a senior-level course in the area of theoretical computer science.

• Minimum grade point ‘B+’ (75% – 79%) is required to enroll in this program.

Total Fees

CA $15,087

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