Master of Computing and Innovation (MComp&Innov)
Master of Computing and Innovation (MComp&Innov)
Program Code
MCOMI
Program Faculty
Faculty of Sciences, Engineering and Technology
Academic Year
2017
These Program Rules should be read in conjunction with the University's policies (https://www.adelaide.edu.au/policies).
Overview
The Master of Computing and Innovation is a conversion program designed for students who wish to develop new skills in the areas of Information and Communication Technology (ICT) and management and innovation. It is suitable for students with no prior experience in computer science as well as those with existing qualifications. In this program students undertake a variety of core and elective courses, designed to provide skills in ICT, management and innovation, as well as a significant project designed to combine skills developed across the program.
The Master of Computing and Innovation is an AQF Level 9 Masters Conversion qualification with a standard full-time duration of 2 years.
Academic Program Rules for Master of Computing and Innovation
There shall be a Master of Computing and Innovation.
Qualification Requirements
To qualify for the degree of Master of Computing and Innovation, 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 27 units
- Elective courses to the value of 12 units
- Research equivalent courses to the value of 9 units in the form of a research project
- Unless exempted international students are required to take ELEC ENG 7057 Engineering Communication and Critical Thinking in lieu of an elective
Core Courses
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Master of Computing and Innovation
To satisfy the requirements for Master of Computing and Innovation students must complete courses to the value of 48 units.
Core
All of the following courses must be completed:
Subject/Catalogue Course Title Unit Value COMP SCI 7015 Software Engineering & Project 3 COMP SCI 7039 Computer Networks & Applications 3 COMP SCI 7064 Operating Systems 3 COMP SCI 7081 Computer Systems 3 COMP SCI 7201 Algorithm & Data Structure Analysis 3 COMP SCI 7202 Foundations of Computer Science 6 and
Courses to the value of 6 units from the following:
Subject/Catalogue Course Title Unit Value ENTREP 5016 Entrepreneurship and Innovation 3 ENTREP 5018 Opportunity Assessment 3 ENTREP 7022 Creativity and Innovation 3 PROJMGNT 5021 Applied Project Management 1 3 Electives
Courses to the value of 12 units from the following:
Students must choose one elective from the following stream:
Data and Information Management StreamSubject/Catalogue Course Title Unit Value COMP SCI 7094 Distributed Databases & Data Mining 3 COMP SCI 7306 Mining Big Data 3 and
General Electives to the value of at least 3 units but not more than 9 units from the following:
Subject/Catalogue Course Title Unit Value COMP SCI 7026 Computer Architecture 3 COMP SCI 7027 Computational Cognitive Science 3 COMP SCI 7059 Artificial Intelligence 3 COMP SCI 7076 Distributed Systems 3 COMP SCI 7089 Event Driven Computing 3 COMP SCI 7090 Computer Graphics 3 COMP SCI 7305 Parallel and Distributed Computing 3 COMP SCI 7407 Advanced Algorithms 3 and
Further courses may be chosen from the following Advanced Electives:
Subject/Catalogue Course Title Unit Value COMP SCI 7000 Software Architecture 3 COMP SCI 7005 Adaptive Business Intelligence 3 COMP SCI 7007 Specialised Programming 3 COMP SCI 7009 Modern Heuristic Methods 3 COMP SCI 7010 Special Topics in Computer Science A 3 COMP SCI 7012 Special Topics in Computer Science B 3 COMP SCI 7022 Computer Vision 3 COMP SCI 7023 Software Process Improvement 3 COMP SCI 7036 Software Engineering in Industry 3 COMP SCI 7044 Computer System Security 3 COMP SCI 7045 Distributed High Performance Computing 3 COMP SCI 7077 Solving Engineering Models 3 COMP SCI 7091 Commercialising IT Research 3 COMP SCI 7092 Mobile and Wireless Systems 3 COMP SCI 7093 Evolutionary Computation 3 COMP SCI 7307 Secure Programming 3 COMP SCI 7401 Introduction to Statistical Machine Learning 3 COMP SCI 7402 Introduction to Geometric Algorithms 3 COMP SCI 7409 Search Based Software Engineering 3 or
Courses to the value of up to 6 units may be taken from the following:
Any course offered by the Entrepreneurship, Commercialisation and Innovation Centre (ECIC).
Research Project
All of the following courses must be completed:
Subject/Catalogue Course Title Unit Value COMP SCI 7098 Master of Computing & Innovation Project 9