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

English language requirements

Overall IELTS score of 6.5 with no band less than 6 (or equivalent). More information is available at www.ielts.org

Duration

2 years full-time or part-time equivalent

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 Master of Applied Artificial Intelligence (Professional) will equip you with specialist knowledge and skills necessary to design and develop advanced software solutions that harness the latest advances in artificial intelligence (AI).

The Master of Applied Artificial Intelligence (Professional) extends the Master of Applied Artificial Intelligence by providing students with the opportunity to further their knowledge by undertaking industry-based learning, or engaging in an in-depth research project under the supervision of our internationally-recognised research staff.

Ready to drive digital disruption and harness the power of AI?

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.

This degree will develop your understanding of the technologies of artificial intelligence, deep learning, reinforcement learning, and the application of these algorithms in computer vision and speech processing.

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

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)
  • four (4) credit points of professional units as detailed below
  • completion of STP050 Academic Integrity (0-credit-point compulsory unit)

Core

Mandatory unit for all entry levels

  • Academic Integrity (0 credit points)
  • Part A: Introductory Artificial Intelligence Studies

  • Machine Learning
  • Mathematics for Artificial Intelligence
  • Analytics for Security and Privacy
  • Plus one level 7 SIT elective (one credit point)

    Part B: Mastery Artificial Intelligence Studies

  • Deep Learning
  • Reinforcement Learning
  • Human Aligned Artificial Intelligence
  • Applications of Computer Vision and Speech Processing
  • Engineering AI Solutions
  • Team Project (A) - Project Management and Practices ~
  • Team Project (B) - Execution and Delivery ~
  •  

    Plus one level 7 SIT elective (one credit point)

    Part C: Professional Studies

  • Professional Practice (4 cp)*
  • OR

  • Research Project A (2 cp)
  • and

  • Research Project B (Thesis) (2 cp)
  • OR

  • Research Project A (2 cp), and 2 additional credit points of level 7 SIT-coded elective units
  • OR

  • Research and Development in Information Technology (1 cp), and 3 additional credit points of level 7 SIT-coded elective units
  • *Students undertaking this unit must have successfully completed STP710 Career Tools for Employability (0-credit point unit)

    ~ Note: Students are recommended 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.

    Elective

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

    Key information

    Award granted
    Master of Applied Artificial Intelligence (Professional)
    Year

    2021 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

    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.

    Entry requirements

    Entry information

    Deakin University offers admission to postgraduate courses through a number of Admission categories. To be eligible for admission to this program, applicants must meet the course requirements.

    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

    • Bachelor degree or higher in related discipline, OR
    • a Bachelor degree or higher in any discipline AND two years of relevant work experience (or part-time equivalent), OR
    • Graduate Certificate or higher in a related discipline, OR
    • evidence of academic capability judged to be equivalent

    Recognition of prior learning

    If you have completed previous studies which you believe may reduce the number of units you have to complete at Deakin, indicate in the appropriate section on your application that you wish to be considered for Recognition of Prior Learning. You will need to provide a certified copy of your previous course details so your credit can be determined. If you are eligible, your offer letter will then contain information about your Recognition of Prior Learning.
    Your Recognition of Prior Learning is formally approved prior to your enrolment at Deakin during the Enrolment and Orientation Program. You must bring original documents relating to your previous study so that this approval can occur.

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

    Fees and scholarships

    Fee information

    Estimated tuition fee - full-fee paying place

    The 'Estimated tuition fee' is provided as a guide only based on a typical enrolment of students completing the first year of this course. The cost will vary depending on the units you choose, your study load, the length of your course and any approved Recognition of Prior Learning.

    One year full-time study load is typically represented by eight credit points of study. Each unit you enrol in has a credit point value. The 'Estimated tuition fee' is calculated by adding together eight credit points of a typical combination of units for your course.

    You can find the credit point value of each unit under the Unit Description by searching for the unit in the Handbook.

    Learn more about tuition 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 through Deakin

    Applications can be made directly to the University through StudyLink Connect - Deakin University's International Student Application Service. 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.

    Deakin International office or Deakin representative

    Fill out the application form and submit to a Deakin International office or take your application form to a Deakin representative for assistance

    Need more information on how to apply?

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

    Entry pathways

    Alternative exits

    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.

    Professional recognition

    The Master of Applied Artificial Intelligence (Professional) is provisionally accredited with the Australian Computer Society (ACS).

    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