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Master of Machine Learning and Computer Vision

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MMLCV · 2027 · Degree · 96 Units

This two-year Master of Machine Learning and Computer Vision (MMLCV) program provides students with specific knowledge and prepares them with competitive professional skills and high flexibility to build their career in the field of Machine Learning and Computer Vision. ANU is one of the finest research universities in Australia and hosts the ARC Centre of Excellence for Robotic Vision. This program is taught by world-class prominent professors and researchers in Computer Vision, Machine Learning, and Artificial Intelligence, based in the College of Engineering, Computing and Cybernetics (CECC). For students interested in further study or careers in academia, this program can provide a pathway to PhD study based on high performance in coursework and completion of a research project.

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Program Requirements

The Master of Machine Learning and Computer Vision requires the completion of 96 units.

A minimum of 24 units must come from completion of 8000-level courses.

The 96 units must consist of:

6 units COMP6710 Structured Programming

6 units from completion of a professional practice course from the following list:

COMP6250 Professional Practice: Holistic Thinking and Communication (6 units)

COMP8260 Professional Practice: Responsible Innovation and Leadership (6 units)

24 units from completion of courses from the following list:

COMP6528 Computer Vision (6 units)

COMP6670 Introduction to Machine Learning (6 units)

COMP8536 Advanced Topics in Deep Learning for Computer Vision (6 units)

COMP8539 Advanced Topics in Computer Vision (6 units)

COMP8600 Statistical Machine Learning (6 units)

COMP8650 Advanced Topics in Machine Learning (6 units)

A further 18 units from completion of Computer Vision and Machine Learning courses in the following list:

COMP6261 Information Theory (6 units)

COMP6262 Logic (6 units)

COMP6320 Artificial Intelligence (6 units)

COMP6490 Document Analysis (6 units)

COMP6528 Computer Vision (6 units)

COMP6670 Introduction to Machine Learning (6 units)

COMP8535 Engineering Data Analytics (6 units)

COMP8536 Advanced Topics in Deep Learning for Computer Vision (6 units)

COMP8539 Advanced Topics in Computer Vision (6 units)

COMP8600 Statistical Machine Learning (6 units)

COMP8610 Computer Graphics (6 units)

COMP8620 Advanced Topics in Artificial Intelligence (6 units)

COMP8650 Advanced Topics in Machine Learning (6 units)

COMP8691 Optimisation (6 units)

ENGN6627 Robotics (6 units)

Either:

COMP6442 Software Construction (6 units); AND

12 units from completion of a research project or industry internship in the following list:

COMP8715 Advanced Computing Team Project that must be taken twice, in consecutive semesters (6+6 units)

COMP8830 Computing Internship (12 units)

AND

12 units of 6000, 7000 or 8000-level coded courses from the subject area COMP or ENGN.

OR

COMP6445 Computing Research Methods (6 units); AND

COMP8800 Advanced Computing Research Project, that must be taken twice, in consecutive semesters (12+12 units)

Students who do not have the approval of an identified supervisor/client for COMP8800 or COMP8830 by week 1 of their penultimate semester will be required to complete COMP8715 to graduate.

12 units of Postgraduate University electives.

Referenced entries (23)

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