Master of Engineering Science

University of Wollongong

About

The Master of Engineering Science is designed for graduates who have completed a four year Bachelor of Engineering degree and wish to gain an advanced understanding at masters level in the field of engineering that they have previous studied.

There is a core of key engineering subjects and a choice of subjects in your chosen field of engineering.

A research component ensures that you enhance your analytical and practical skills.

Structure

Students in the Master of Engineering Science must complete the requirements of one of the following specialisations, to a total of 48 credit points:

  • Computer Engineering
  • Electrical Engineering
  • Telecommunications Engineering
Subject Code Subject Name Credit Points Session(s)
ECTE955 Advanced Laboratory 6 Autumn
ECTE940 Advanced Project 12 Annual
ECTE906 Advanced Signals and Systems 6 Autumn/Spring
ECTE903 Image and Video Processing 6 Spring
ECTE992 Internet Networking Protocols 6 Spring
and 1 Technical Elective 900-level ECTE subject 6 Autumn/Spring
and 1 Technical Elective 900-level ECTE or non-ECTE subject 6 Autumn/Spring
Subject Code Subject Name Credit Points Session(s)
ECTE955 Advanced Laboratory 6 Autumn
ECTE927 Renewable and Distributed Generation 6 Autumn
ENGG941 Sustainability for Engineers, Scientists and Professionals 6 Autumn
ECTE940 Advanced Project 12 Annual
ECTE906 Advanced Signals and Systems 6 Autumn/Spring
and 1 Technical Elective 900-level ECTE subject 6 Autumn/Spring
and 1 Technical Elective 900-level ECTE or non-ECTE subject 6 Autumn/Spring
Subject Code Subject Name Credit Points Session(s)
ECTE955 Advanced Laboratory 6 Autumn
ECTE940 Advanced Project 12 Annual
ECTE906 Advanced Signals and Systems 6 Autumn/Spring
ECTE967 Mobile Networks 6 Autumn
ECTE992 Internet Networking Protocols 6 Spring
and 1 Professional Elective 6 Autumn/Spring
and 1 Technical Elective 900-level ECTE subject 6 Autumn/Spring

Technical Electives 900-level ECTE subjects:

Subject Code Subject Name Credit Points Session(s)
ECT8477 Programming Autonomous Systems 6 Autumn
ECTE902 Optimum Signal Processing 6 Not available in 2020
ECTE903 Image and Video Processing 6 Spring
ECTE921 Power Quality and Reliability 6 Not available in 2020
ECTE923 Power System Analysis 6 Autumn
ECTE927 Renewable and Distributed Generation 6 Autumn
ECTE944 Identification and Optimal Control 6 Not available in 2020
ECTE962 Telecommunications System Modelling 6 Spring
ECTE967 Mobile Networks 6 Autumn
ECTE987 Optoelectronic Sensing 6 Autumn
ECTE992 The Future Internet: Architectures and Communication Protocols 6 Spring

Technical Electives 900-level non-ECTE subjects:

Subject Code Subject Name Credit Points Session(s)
CSCI933 Machine Learning Algorithms and Applications 6 Autumn
CSCI935 Computer Vision Algorithms and Systems 6 Spring
ENGG941 Sustainability for Engineers, Scientists and Professionals 6 Autumn
MECH941 Micro/Nano Robotic Systems 6 Autumn

Professional Electives

Subject Code Subject Name Credit Points Session(s)
ENGG951 Engineering Project Management 6 Spring
ENGG953 Modelling of Engineering Management Systems 6 Spring
ENGG954 Strategic Management for Engineers and Technologists 6 Autumn
ENGG956 Financial Management for Engineered Assets 6 Spring

Learning outcomes

Course Learning Outcomes are statements of learning achievement that are expressed in terms of what the learner is expected to know, understand and be able to do upon completion of a course. Students graduating from this course will be able to:

CLO Description 1 Research and synthesise complex information, and apply expert judgement in engineering design and project planning. 2 Interpret advanced information and communication knowledge, ideas and procedures to both expert and non-expert audiences 3 Employ independent learning strategies to update own knowledge in the field and keep pace with innovations in engineering techniques, industry trends and standards.

Institution