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Master of Engineering (Advanced) (Sensor Systems Signal Processing) M.E.ASSSP
2010

Program Outline | Program Structure | Related Programs | Admission Information | Areas of Specialisation | Study Plans | Career Opportunities | Graduate Attributes | Program Rules | Further Information | Useful Links

Location: North Terrace Campus
Duration: 2 years (full-time or part-time? equivalent)
Degree/Award: Masters by Coursework

Program Outline

Suited to graduates wanting a greater depth of specialisation than the one year masters engineering program, this program gives the option of studying technical courses at an advanced level and the opportunity to engage in a research project.

The program provides an advanced level of education in signal processing techniques and their application to sensor systems, including imaging systems, sonar and radar.

A 48-unit program, students will complete the requirements for the Masters of Engineering, with additional study comprising 12 units of more advanced technical coursework. A project to the value of 12 units introduces candidates to research.

Intending students should consult the program coordinator early in the year in which they plan to study to check when particular courses or projects will be available.

 

Program Structure

Students are required to complete the 24 units of study required for the Master of Engineering, with additional study comprising 12 units of advanced coursework and a research project to the value of 12 units. The program normally takes four semesters of full-time study and is made up of 75% coursework and 25% research project. There are three core courses designed to provide generic skills applicable across all fields of engineering.

Each semester, students are required to undertake two to three Sensor Systems Signal Processing elective courses. In addition to the coursework, students are required to undertake a two-semester masters project in Sensor Systems Signal Processing under the guidance of an academic supervisor, give seminars and write reports on the research.

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Admission Information

Choose your applicant type to view the relevant admissions information for this program.

I am a:

Domestic applicants

Not a domestic applicant? ?

SATAC Code 3CM055
Annual tuition fees ?
Commonwealth-supported place: $7,567
Mid-year entry? Yes
Enquiries Student Centre

Selection Criteria ?

Graduate entry only.
Completed Honours degree in a related discipline of Engineering or equivalent.

How to Apply ?

SATAC Code: 3CM055

International applicants

Not an international applicant? ?

IELTS Total 6 [more info]
Annual tuition fees ? International student place: $26,250
Mid-year entry? Yes
Enquiries Student Centre

Selection Criteria ?

Graduate entry only
Prerequisites ?
Relevant Bachelor of Engineering with Honours or equivalent
Equivalent Scores
IELTS
Total
Reading
Listening
Speaking
Writing
6
5.5
5.5
6
6

How to Apply ?

International applicants applying with Australian year 12 results

Not an international applicant applying with Australian year 12 results? ?

Annual tuition fees ? International student place: $26,250
Mid-year entry? Yes
Enquiries Student Centre

Selection Criteria ?

Graduate entry only
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Areas of Specialisation

Sensor Systems and Signal Processing

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Study Plans

The study plans ? given are examples of pathways through this degree. For a complete description, see the program rules.

Total units required for this program - 48 units 

*Students who have completed a Bachelor of Engineering at the University of Adelaide should use this study plan as a guide only since they may be required to present a different set of courses from those listed.

Clarification of personalised study plans will be provided at the time of enrolment.

Core Courses

Select 9 units from the following:

Sensor Systems Signal Processing Electives

Elective choices must comply with the following rules: 

  • A maximum of 3 units of Management electives may be selected

 Select 27 units from the following:

Management Electives

Research Project

Students enrol in Part A in one semester and Part B in the following semester

The availability of all courses is conditional on the availability of staff and facilities and sufficient enrolments.

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Career Opportunities

The skills obtained in this program are applicable across a wide range of industries, but particularly in defence, mining, communications and medical instrumentation industries.  Graduates will be equipped to undertake technically advanced research and development related to the use of signal processing technology in these industries.

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Graduate Attributes

  • Knowledge and understanding of the content and techniques of a chosen discipline at advanced levels that are internationally recognised.
  • The ability to locate, analyse, evaluate and synthesise information from a wide variety of sources in a planned and timely manner.
  • An ability to apply effective, creative and innovative solutions, both independently and cooperatively, to current and future problems.
  • Skills of a high order in interpersonal understanding, teamwork and communication.
  • A proficiency in the appropriate use of contemporary technologies.
  • A commitment to continuous learning and the capacity to maintain intellectual curiosity throughout life.
  • A commitment to the highest standards of professional endeavour and the ability to take a leadership role in the community.
  • An awareness of ethical, social and cultural issues and their importance in the exercise of professional skills and responsibilities.

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Further Information

Please direct enquiries to the Student Centre
Phone: +61 8 8303 7335 (toll free 1800 061 459)

The annual Open Day and Information Night events provide an excellent opportunity to see our campus, meet with academics, and discuss your study options.

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The University of Adelaide is committed to regular reviews of the courses and programs it offers to students. The University of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.

Last updated: Friday, 30 Oct 2009

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