Master of Computer Science (MCompSc)
Master of Computer Science (MCompSc)
Program Code
MCOMS
Program Faculty
Faculty of Sciences, Engineering and Technology
Academic Year
2024
These Program Rules should be read in conjunction with the University's policies (https://www.adelaide.edu.au/policies).
Overview
Advanced technical studies in computer science provide an understanding of how software and hardware can be combined to overcome a range of complex challenges. This program has a major research component and high-performing graduates may also proceed to a PhD program.
The Master of Computer Science is an AQF Level 9 Masters qualification with a standard full-time duration of 2 years.
Program Learning Outcomes
- Critically analyse and solve complex problems as independent self-directed learners.
- Demonstrate deep knowledge of advanced concepts in computer science.
- Apply theoretical knowledge and practical skills to complete a research project in computer science.
- Demonstrate knowledge of professional conduct and ethical issues in computer science research and ICT industry.
- Use strong interpersonal skills to enable effective communication with a range of audiences.
- Adopt professional attitudes, standards, values and best practice from research and industry.
Conditions
Conditions of Enrolment
Interruption of program: Students must apply for permission from the Executive Dean or delegate before taking a Leave of Absence. Any extension of the leave without approval will result in the loss of place in the program but an application may be made to be re-admitted to the program subject to the admission procedures in place at the time.
Program Maximum Duration: As specified in Table 1 of the Coursework Academic Programs Policy, this program must be completed within a Maximum Duration which includes any periods of non-enrolment, leave of absence or approved study at other institutions for credit towards a Program.
Academic Program Rules for Master of Computer Science
There shall be a Master of Computer Science.
Qualification Requirements
To qualify for the degree of Master of Computer Science, the student must complete satisfactorily a program of study consisting of the following requirements with a combined total of not less than 48 units, comprising:
- Core courses to the value of 3 units
- Research equivalent courses to the value of 15 units in the form of a research project
- Elective courses to the value of 30 units
- International students with an IELTS overall score less than 8.0 are required to take ENG 7057 Communication & Critical Thinking in lieu of an elective
Core Courses
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Core Courses
To satisfy the requirements for Core Courses students must complete courses to the value of 3 units.
All of the following courses must be completed:
Subject/Catalogue Course Title Unit Value COMP SCI 7007 Specialised Programming 3 -
Research
To satisfy the requirements for Research students must complete courses to the value of 15 units.
All of the following courses must be completed:
Subject/Catalogue Course Title Unit Value COMP SCI 7100A Research Project Master Computer Science – Part A 0 COMP SCI 7100B Research Project Master Computer Science – Part B 15
Electives
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Electives
To satisfy the requirements for Electives students must complete courses to the value of 30 units.
Courses to the value of 30 units from the following:
Students must choose one course from each of the following areas:
Computer SecuritySubject/Catalogue Course Title Unit Value COMP SCI 7092 Mobile and Wireless Systems 3 COMP SCI 7412 Secure Software Engineering 3 Data and Information Management
Subject/Catalogue Course Title Unit Value COMP SCI 7314 Introduction to Statistical Machine Learning 3 COMP SCI 7317 Using Machine Learning Tools PG 3 Networks
Subject/Catalogue Course Title Unit Value COMP SCI 7092 Mobile and Wireless Systems 3 and
Courses to the value of 21 units from the following:
Subject/Catalogue Course Title Unit Value COMP SCI 7000 Software Architecture 3 COMP SCI 7023 Software Process Improvement 3 COMP SCI 7092 Mobile and Wireless Systems 3 COMP SCI 7209 Big Data Analysis and Project 3 COMP SCI 7306 Mining Big Data 3 COMP SCI 7318 Deep Learning Fundamentals 3 COMP SCI 7407 Advanced Algorithms 3 COMP SCI 7408 Modelling and Analysis of Complex Systems PG 3 COMP SCI 7409 Search Based Software Engineering 3 COMP SCI 7411 Event Driven Computing 3 COMP SCI 7412 Secure Software Engineering 3 COMP SCI 7413 Introduction to Quantum Computing 3 COMP SCI 7416 Applied Machine Learning 3 COMP SCI 7417 Applied Natural Language Processing 3