Master of Computing and Innovation

In this 48-unit program, students undertake a variety of core and elective courses, designed to provide skills in IT, management and innovation, and a significant project designed to combine skills developed across the program.
Academic Program Rules The Calendar is a comprehensive handbook of the University's academic program rules.
Master of Computing and Innovation Example Study Plan The below study plan is indicative of a semester 1 commencement.
Please scroll to the bottom of the table to print a study plan for semester 1 or 2 commencement.
MASTER OF COMPUTING & INNOVATION Year1S1 COMP SCI 7202 Foundations of Computer Science (6 units) General Elective (3 units)** One of: ENTREP 5016 Entrepreneurship & Innovation ENTREP 5018 Opportunity Assessment PROJMGNT 5021 Applied Project Management 1 ENTREP 7022 Creativity & Innovation (3 units) S2 COMP SCI 7081 Computer Systems (3 units) COMP SCI 7201 Algorithm & Data Structure Analysis (3 units) COMP SCI 7064 Operating Systems (3 units) One of: ENTREP 5016 Entrepreneurship & Innovation ENTREP 5018 Opportunity Assessment PROJMGNT 5021 Applied Project Management 1 ENTREP 7022 Creativity & Innovation (3 units) Year2S1 COMP SCI 7098 Master of Computing & Innovation Project (9 units) COMP SCI 7039 Computer Networks & Applications (3 units) S2 COMP SCI 7015 Software Engineering & Project (3 units) COMP SCI 7094 Distributed Databases & Data Mining orCOMP SCI 7403Mining Big Data (3 units)# General Elective (3 units) orAdvanced Elective(3 units)  or ECIC Elective (3 units) General Elective (3 units) CHOOSE FROM THE FOLLOWING ELECTIVES GENERAL ELECTIVES COMP SCI 7026 Computer Architecture (3 units) COMP SCI 7027 Computational Cognitive Science (3 units) COMP SCI 7059 Artificial Intelligence (3 units) COMP SCI 7076 Distributed Systems (3 units) COMP SCI 7089 Event Driven Computing (3 units) COMP SCI 7090 Computer Graphics (3 units)^ COMP SCI 7301 Advanced Algorithms (3 units) COMP SCI 7305 Parallel and Distributed Computing (3 units) ADVANCED ELECTIVES COMP SCI 7000 Software Architecture (3 units)^ COMP SCI 7005 Adaptive Business Intelligence (3 units)^ COMP SCI 7007 Specialised Programming (3 units) COMP SCI 7009 Modern Heuristic Methods (3 units)^ COMP SCI 7010 Special Topics in Computer Science A (3 units)^ COMP SCI 7012 Special Topics in Computer Science B (3 units)^ COMP SCI 7022 Computer Vision (3 units) COMP SCI 7023 Software Process Improvement (3 units) COMP SCI 7026 Computer Architecture (3 units) COMP SCI 7044 Computer Systems Security (3 units) ^ COMP SCI 7045 Distributed High Performance Computing (3 units)^ COMP SCI 7059 Artificial Intelligence (3 units) COMP SCI 7076 Distributed Systems (3 units) COMP SCI 7077 Solving Engineering Models (3 units) COMP SCI 7089 Event Driven Computing (3 units) COMP SCI 7090 Computer Graphics (3 units) COMP SCI 7092 Mobile & Wireless Networks (3 units) COMP SCI 7093 Evolutionary Computation (3 units) COMP SCI 7094 Distributed Databases & Data Mining# (3 units) COMP SCI 7301 Advanced Algorithms (3 units) COMP SCI 7305 Parallel and Distributed Computing (3 units) COMP SCI 7401 Introduction to Statistical Machine Learning (3 units) COMP SCI 7402 Introduction to Geometric Algorithms (3 units) COMP SCI 7403 Mining Big Data# (3 units) COMP SCI 7405 Research Methods in Software Engineering and Computer Science (3 units) COMP SCI 7406 Secure Programming (3 units) COMP SCI 7091 Commercialising IT Research (3 units) ECICELECTIVES ENTREP 5016 Entrepreneurship and Innovation (3 units) PROJMGNT 5021 Applied Project Management 1 (3 units) ENTREP 7022 Creativity and Innovation (3 units) ENTREP 5018 Opportunity Assessment (3 units) Any other TECHCOMM, PROJMGNT or ENTREP course offered by the Entrepreneurship, Commercialisation and Innovation Centre (3 units) GUIDE TO ENROLMENT This study plan should be used to guide enrolment for the current academic year.
Some students may need to modify their enrolment based on previous study (e.
g.
students granted advanced standing/credit, students repeating previously failed courses).
COURSE AVAILABILITY^Check the course planner for course availability noting the availability of all courses is conditional on the availability of staff and facilities.
#All students are required to complete at least one course from the below elective stream:Data and Information Management StreamCOMP SCI 7094 Distributed Databases & Data Mining (3 units)COMP SCI 7403 Mining Big Data (3 units)**Unless exempted by the Faculty, all international students are required to undertake a specialist course ELEC ENG 7057 Engineering Communication & Critical Thinking.
This course must be completed in the first semester of study and will be presented in lieu of a GENERAL ELECTIVE course.
Download a print copy of the study plan Master of Computing and InnovationSemester 2 Start: Students commencing in semester 2, download a print copy of the study planSemester 2 - Master of Computing and Innovation Assessment Project work, written assignments, practical work and/or examinations.