Master of Engineering in Distributed Computing

The MEDC addresses demand from the emerging information and communication technology (ICT) market with a knowledge emphasis on the use of industry standard and Internet-based distributed computing technologies in the development of networked enterprise systems and their applications.

The key aspects of this Masters program are:

• it has been designed to provide expertise for developing service-oriented, enterprise computing systems and applications that need to operate in wired/wireless network environments. These enterprise systems can scale from a single to multiple organisations
• it promotes the utilisation of industry standard distributed computing technologies such as J2EE and .NET
• about half of the course focuses on highly specialised distributed computing topics such as: distributed systems, cluster and grid computing, distributed algorithms, mobile systems programming, sensor networks and Web services
• it includes a compulsory team-based project work that emphasises the design and development of distributed computing technologies and their application in e-Science and e-Business areas

The program is designed to:

• Provide expertise for developing service-oriented, enterprise computing systems and applications that need to operate in wired/wireless network environments. These enterprise systems can scale from a single to multiple organisations
• Promote the utilisation of industry standard distributed computing technologies such as J2EE and .NET
• Focus on highly specialised distributed computing topics such as: distributed systems, cluster and grid computing, distributed algorithms, mobile systems programming, sensor networks and Web services

Please see course advisor in the School of Engineering for subject selection.

Group A subjects (foundation studies) consists of subjects that bring students up-to-date with advanced computer science concepts, techniques and tools.

Group B subjects offer advanced study in distributed computing technologies and its applications, and includes a number of new and existing subjects. MEDC students should study at least four subjects from subgroup B2 in addition to the compulsory subject from subgroup B1 (COMP90015).

Group C subjects offer an opportunity for students to carry out a solid practice-oriented or research-oriented project in distributed computing. Selection of projects will be on an individual or team basis, depending on student background and availability of supervision.

With permission from the Program Director, subjects in Group A and B may be substituted by other suitable studies.

• Entry Level 1: 4 subjects from Group A, 10 subjects from Group B and 1 subject from Group C

• Entry Level 2: 10 subjects from Group B and 1 subject from Group C

• Entry Level 3: 6 subjects from Group B and 1 subject from Group C.

Please note that some subjects are offered in alternative years.

GROUP A Foundation subjects:

GROUP B subjects

B1: Core and Compulsory

B2: Core and Recommended

B3: Electives

GROUP C subjects

The MEDC program offers three different entry levels which are determined by academic background and work experience in computing.

Entry Level 1 (200 points)

A three-year undergraduate degree in Science or Engineering including mathematics and at least one programming subject with a final year grade average of at least 65% and two years of relevant documented work experience
or
A four-year degree in Science or Engineering including mathematics and at least one programming subject with a final year grade average of at least 65%.

Entry Level 2 (150 points)

A three-year undergraduate degree in Computer Science, Computer Engineering, Software Engineering, Information Technology or related discipline with a final year average grade of at least 65% and at least two years of relevant documented work experience
or
A four-year undergraduate degree in Computer Science, Computer Engineering, Software Engineering, Information Technology or related discipline with a final year average grade of at least 65%.

Entry Level 3 (100 points)

A three-year undergraduate degree in Computer Science, Computer Engineering, Software Engineering, Information Technology or related discipline with a final year average grade of at least 65% and studies in parallel and distributed computing related subjects at an advanced level and two years of relevant documented work experience
or
A four-year undergraduate degree in Computer Science, Computer Engineering, Software Engineering, Information Technology or related discipline with a final year average grade of at least 65% and studies in parallel and distributed computing related subjects at an advanced undergraduate level.

English Language Requirements

• TOEFL (577 + TWE 4.5)
• IELTS (6.5 Written 6.0)

Students with less than 6.5 IELTS may gain admission with 6.0 and are required to undertake and pass an English language subject as an additional subject to the degree.

All students studying at the University of Melbourne must satisfy the University's English language entry requirements in accordance with Regulation 11.1.R3. For graduate students the University's English language entry requirements are set out at:

http://www.futurestudents.unimelb.edu.au/admissions/entry-requirements/language-requirements/graduate-toefl-ielts

For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this course are articulated in the Course Overview, Objectives and Generic Skills sections of this entry.

The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/

Graduate Attributes:

• Ability to undertake problem identification, formulation, and solution
• Ability to utilise a systems approach to complex problems and to design and operational performance
• Capacity for creativity and innovationAbility to manage information and documentation

An Engineering graduate has a unique skill set comprising a blend of technical, business and interpersonal skills. Upon completion of the Bachelor of Engineering at the University of Melbourne, students will have strong analytical skills, the ability to lead teams and projects and the creativity to look at problems in a way that provides innovative solutions. Our graduates are known for their high standards and professionalism, their understanding of global issues and their outstanding communication skills. For details, see "Objectives".