Master of Applied Artificial Intelligence (Professional)

Postgraduate coursework

Deakin's Master of Applied Artificial Intelligence (Professional) extends the Master of Applied Artificial Intelligence by providing students with the opportunity to further broaden their knowledge through wider studies in IT.

Key facts

Duration

2 years full-time or part-time equivalent

Key dates

Direct applications to Deakin for Trimester 1 2020 close 23 February 2020

Current Deakin Students

To access your official course details for the year you started your degree, please visit the handbook

Course information

Artificial intelligence is driving digital disruption, with new technology helping redefine many industries. Many companies are looking to take advantage of recent advances in artificial intelligence, which is creating a large demand for skilled professionals.

Deakin’s suite of courses in Applied Artificial Intelligence will equip you with specialist knowledge and skills necessary to design and develop advanced solutions using artificial intelligence. The Master of Applied Artificial Intelligence (Professional) extends the Master of Applied Artificial Intelligence by providing students with the opportunity to further broaden their knowledge through wider studies in IT, or by undertake a trimester of industry-based learning or a trimester long research project under the supervision of our internationally-recognised research staff.

As an artificial intelligence specialist, you will work alongside software engineers, data scientists, application developers and business analysts, applying your specialist knowledge to ensure artificial intelligence is appropriately integrated into software solutions from a technical and human perspective.

You will gain hands-on experience in the development of software solutions and the use and development of artificial intelligence. Our world-leading research in artificial intelligence feed directly into our classrooms, meaning that you’ll be learning at the cutting edge of industry expectations and capabilities.

As a graduate you will be well-equipped to work on design, development, and operation of software solutions involving artificial intelligence.

Units in the course may include assessment hurdle requirements.

Read More

Course structure

To complete the Master of Applied Artificial Intelligence (Professional), students must attain 16 credit points.

The course comprises a total of 16 credit points, which must include the following:

  • 10 credit points of core units
  • 2 credit points of Level 7 SIT elective units (excluding SIT771, SIT772, SIT773 and SIT774)
  • 4 credit points from one of:
    • Major Thesis
    • Professional Practice
    • Research and Development in IT, and 3 credit points of level 7 coded SIT electives
  • completion of STP050 Academic Integrity (0-credit point compulsory unit)

Core

Mandatory unit for all entry levels

  • Academic Integrity STP050 (0 credit points)
  •  

    Part A: Introductory Artificial Intelligence Studies

  • Machine Learning SIT720
  • Mathematics for Artificial Intelligence SIT787
  • Security and Privacy Issues in Analytics SIT719
  • plus one elective unit

     

    Part B: Mastery Artificial Intelligence Studies

  • Deep Learning SIT744
  • Reinforcement Learning SIT796 ^
  • Human Aligned Artificial Intelligence SIT799
  • Applications of Computer Vision and Speech Processing SIT789
  • Engineering AI Solutions SIT788
  • Team Project (A) - Project Management and Practices SIT764 ~
  • Team Project (B) - Execution and Delivery SIT782 ~
  • plus one elective unit

     

    Part C: Professional Studies

    Plus a further four credit points from the below list:

  • Professional Practice SIT791 (4 credit points)* or
  • Major Thesis SIT790 (4 credit points) or
  • Research and Development in Information Technology SIT740 and
  • 3 credit points of level 7 coded SIT electives

    *Students undertaking this unit must have successfully completed STP710 Career Tools for Employability (0-credit point unit)

    ~ Note: Students are expected to undertake SIT764 and SIT782 in consecutive trimesters. Students should seek advice from the unit chair if they are unable to complete SIT764 and SIT782 consecutively.

    ^ Available from 2021

    Elective

    Plus two (2) level 7 SIT-coded elective units.

    Key information

    Award granted
    Master of Applied Artificial Intelligence (Professional)
    Year

    2020 course information

    Deakin code
    S737
    CRICOS code?
    0100306
    Level
    Higher Degree Coursework (Masters and Doctorates)
    Approval status

    This course is approved by the University under the Higher Education Standards Framework.

    Australian Qualifications Framework (AQF) recognition

    The award conferred upon completion is recognised in the Australian Qualifications Framework at Level 9.

    Campuses by intake

    Campus availability varies per trimester. This means that a course offered in Trimester 1 may not be offered in the same location for Trimester 2 or 3. Read more to learn where this course will be offered throughout the year.

    Trimester 1 - March

    • Start date: March
    • Available at:
      • Waurn Ponds (Geelong)
      • Cloud Campus

    Trimester 2 - July

    • Start date: July
    • Available at:
      • Waurn Ponds (Geelong)
      • Cloud Campus

    New course commencing Trimester 1 2020

    Additional course information

    Course duration - additional information

    Course duration may be affected by delays in completing course requirements, such as accessing or completing work placements.

    Mandatory student checks

    Any unit which contains work integrated learning, a community placement or interaction with the community may require a police check, Working with Children Check or other check.

    Workload

    You can expect to participate in a range of teaching activities each week. This could include classes, seminars, practicals and online interaction. You can refer to the individual unit details in the course structure for more information. You will also need to study and complete assessment tasks in your own time.

    Participation requirements

    Elective units may be selected that include compulsory placements, work-based training, community-based learning or collaborative research training arrangements.

    Reasonable adjustments to participation and other course requirements will be made for students with a disability. Click here for more information.

    Work experience

    You will have an opportunity to undertake a placement as part of your course.

    Need help?

    Ask a question about studying a at Deakin

    Entry requirements

    Entry information

    Deakin University offers admission to postgraduate courses through a number of Admission categories.

    All applicants must meet the minimum English language requirements.

    Please note that meeting the minimum admission requirements does not guarantee selection, which is based on merit, likelihood of success and availability of places in the course.

    For more information on the Admission Criteria and Selection (Higher Education Courses) Policy visit the Deakin Policy Library

    Entry will be based on performance in:

    • Bachelor degree in related discipline, OR
    • a Bachelor degree, major or other qualification at a higher AQF level in any discipline plus two years of relevant work experience (or part-time equivalent) OR
    • Graduate Certificate of Information Technology or equivalent

    Recognition of prior learning

    Recognition of Prior Learning may be granted for relevant postgraduate studies, in accordance with standard University procedures.

    You can also refer to the Recognition of Prior Learning System which outlines the credit that may be granted towards a Deakin University degree and how to apply for credit.

    Fees and scholarships

    Fee information

    Estimated tuition fee - full-fee paying place
    $27,800 for 1 yr full-time* - Full-fee paying place
    Learn more about fees and your options for paying.

    Fees and charges vary depending on your course, your fee category and the year you started. To find out about the fees and charges that apply to you, visit www.deakin.edu.au/fees.

    Scholarship options

    A Deakin scholarship might change your life. If you've got something special to offer Deakin – or you just need the financial help to get you here – we may have a scholarship opportunity for you.

    Search or browse through our scholarships

    Postgraduate bursary

    If you’re a Deakin alumnus commencing a postgraduate award course, you may be eligible to receive a 15% reduction per unit on your enrolment fees. Your Immediate Family Members may also be eligible to apply for this bursary.

    Learn more about Deakin’s 15% postgraduate bursary

    Apply now

    How to apply

    Apply direct to Deakin

    Applications can be made directly to the University through the Course and Scholarship Applicant Portal. For information on the application process and closing dates, see the how to apply web page. Please note that closing dates may vary for individual courses.


    Need more information on how to apply?

    For more information on the application process and closing dates, see the How to apply webpage. If you're still having problems, please contact us for assistance.


    Register your interest to study at Deakin

    Please complete the Register your interest form to receive further information about our direct application opportunities.


    Entry pathways

    Alternative exits

    Contact information

    Faculty of Science, Engineering and Built Environment
    School of Information Technology
    deakin.edu.au/information-technology

    Prospective student enquiries
    Are you looking to apply for this course or would like further information?
    Call 1800 693 888 or email us at myfuture@deakin.edu.au
    Enquire online

    Current student course and enrolment enquiries
    Call 03 9244 6699 or email us at sebe-enquire@deakin.edu.au
    Submit an online enquiry

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    Am I eligible for a scholarship with this course?

    Scholarships are available for domestic and international students at all study levels. Find a scholarship that works for you.

    Can I claim recognition of prior learning (RPL) for this course?

    In some courses, you can reduce your overall study time and tuition cost by getting your work and previous study experience recognised as recognition of prior learning (RPL).

    Why choose Deakin

    Career outcomes

    Graduates will have the specialist knowledge needed to operate as Data Scientists, AI Technology Software Engineers, AI Product Managers, AI Ethicist and grow into roles such as AI Architect.

    Course learning outcomes

    Deakin's graduate learning outcomes describe the knowledge and capabilities graduates can demonstrate at the completion of their course. These outcomes mean that regardless of the Deakin course you undertake, you can rest assured your degree will teach you the skills and professional attributes that employers value. They'll set you up to learn and work effectively in the future.

    Deakin Graduate Learning Outcomes

    Course Learning Outcomes

    Discipline-specific knowledge and capabilities

    Develop an advanced and integrated knowledge of the technologies of artificial intelligence, including deep learning and reinforcement learning, with detailed knowledge of the application of AI algorithms across a range of domains and applications including computer vision and speech processing.

    Design, develop and implement software solutions that incorporate novel applications of artificial intelligence.

    Apply advanced knowledge of artificial intelligence to the research and evaluation of AI solutions and provision of specialist advice.

    Design artificial intelligence solutions that incorporate safe ethical decision making.

    Have a broad appreciation of advanced topics within the IT domain through engagement with research or specialist studies.

    Communication

    Prepare a range of technical and user-oriented documentation using adequate structure, terminology and context to address technical and non-technical audiences.

    Convey information and instructions in a clear, concise and coherent manner using appropriate oral communication techniques and skills for a broad range of audiences.

    Imagine, conceive, and represent ideas using IT conventions, modelling languages, and standards to reflect on complex artificial intelligence ideas and processes in an effective manner.

    Apply interpersonal skills to lead, proactively assist, contribute to ideas, respect opinions and value contribution made by others when working collaboratively with a wide range of stakeholders.

    Digital literacy

    Identify, select and use a range of digital technologies and tools to generate, manage and share digital resources associated with advanced artificial intelligence concepts and solutions.

    Independently and systematically locate information, evaluate its reliability, and use the information for design, problem solving and research purposes.

    Recommend and use appropriate practices and processes to ensure the security, integrity, safety and availability of digital resources.

    Critical thinking

    In assessing complex artificial intelligence scenarios, critically evaluate arguments, hypothesis, systems and proposals to identify basic statements.

    In assessing complex artificial intelligence scenarios, locate ambiguity and vagueness in arguments, requirements, and proposals to determine if ideas are reasonable, and identify information that may be contradictory, omitted, or not collected.

    In assessing complex artificial intelligence scenarios, apply judgement in evaluating ideas, associated reasoning, and available evidence to arrive at conclusions that are valid.

    Problem solving

    Apply expert, specialised technical skills, knowledge and techniques to identify and define complex problems utilising advanced artificial intelligence in a variety of contexts.

    Apply expert, specialised technical skills and knowledge in modelling methods and processes to understand problems, handle abstraction and design novel artificial intelligence solutions.

    Apply expert, specialised technical skills and knowledge to develop innovative and creative approaches and/or solutions in planning, designing, managing, evaluating and executing complex artificial intelligence projects.

    Integrate knowledge of social, safety, legal and cultural aspects to solve problems in complex and contradictory situations.

    Self-management

    Evaluate own knowledge and skills with relation to wider artificial intelligence community and use frameworks of reflection to define and progress professional goals.

    Recognise the need, and engage in, independent learning for continual development pf specialist knowledge and skills in artificial intelligence as a computing professional.

    Demonstrate the ability to accept responsibility for objectives, and work under broad direction, engaging in the feedback process independently to ensure outcomes are achieved.

    Teamwork

    Contribute specialist knowledge and skills of artificial intelligence when working within a team, demonstrating high levels of responsibility and accountability.

    Engage consistently and professionally in groupware to contribute expert knowledge and skills of artificial intelligence to achieve shared team objectives and outcomes.

    Apply strategies to lead and support positive group dynamics, manage conflict and to function effectively as a team member.

    Global citizenship

    Apply professional ethics, responsibilities, and norms of professional computing practice.

    Demonstrate awareness of regulation and ethical implications of acquisition, use, disclosure and eventual disposal of information.

    Engage with global trends and research with concern for societal, health, safety, legal, and cultural issues to effectively manage responsibilities relevant to artificial intelligence in practice.

    Approved by Faculty Board 27 June 2019

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