Postgraduate coursework

Master of Data Analytics

Study a Master of Data Analytics and become a data analytics specialist capable of using data to form insights and support decision making.

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Key facts

Duration

1.5-2 years full-time or part-time equivalent depending on your entry point

Campuses

Offered at Burwood (Melbourne) Cloud (online)

Course information

Deakin’s Master of Data Analytics prepares students for professional employment across all sectors.  The sheer volume and complexity of data already at the fingertips of businesses and research organisations gives rise to challenges that must be solved by tomorrow’s graduates.  Become a data analytics specialist capable of using data to learn insights and support decision making.

Modern organisations are placing increasing emphasis on the use of data to inform day-to-day operations and long-term strategic decisions.

Throughout your studies you’ll learn to understand the various origins of data to be used for analysis, combined with methods to manage, organise and manipulate data within regulatory, ethical and security constraints. You’ll develop specialised skills in categorising and transferring raw data into meaningful information for the benefit of prediction and robust decision-making.

As a graduate, your knowledge, skills and competencies in modern data science and statistical analysis will be highly valued by employers seeking greater efficiencies and competitive advantage through data insights.

Units in the course may include assessment hurdle requirements.

Read More

Course structure

To complete the Master of Data Analytics, students must attain 16 credit points. Most units (think of units as ‘subjects’) are equal to 1 credit point. So that means in order to gain 16 credit points, you’ll need to study 16 units (AKA ‘subjects’) over your entire degree. Most students choose to study 4 units per trimester, and usually undertake two trimesters each year.

The 16 credit points include 12 core units (these are compulsory), completion of STP050 Academic Integrity (0-credit point compulsory unit) and 4 level-7 course grouped elective units.

Students who are entering with a related academic/professional background may be eligible for credit transfer and recognition for up to 4 of the foundation units.  Please contact your course advisor for more detailed information.

12

Core units

4

Elective units (Course-grouped)

16

Total units

Core

Year 1 - Trimester 1

  • Academic Integrity STP050 (0 credit points)
  • Foundation Skills in Data Analysis MIS770
  • Value of Information MIS782
  • Database and Information Retrieval SIT772
  • Real World Analytics SIT718
  • Year 1 - Trimester 2

  • Descriptive Analytics and Visualisation MIS771
  • Predictive Analytics MIS772
  • Security and Privacy Issues in Analytics SIT719
  • Machine Learning SIT720

  • Year 2 - Trimester 1

  • Statistical Data Analysis SIT741
  • Modern Data Science SIT742
  • plus two course grouped elective units

    Year 2 - Trimester 2

  • Multivariate and Categorical Data Analysis SIT743
  • Practical Machine Learning for Data Science SIT744
  • plus two course grouped elective units

    Electives

    Four (4) level 7 SIT/MIS course grouped elective units, which may include the following:

  • Major Thesis SIT790 (4cp)
  • Professional Practice SIT791 (4cp)*
  • Minor Thesis SIT792
  • *Students undertaking this unit must have successfully completed STP710 Introduction to Work Placements (0 credit point)

    Key information

    Award granted
    Master of Data Analytics
    Year
    2018 course information
    Deakin code
    S777
    CRICOS code
    089186E
    Level
    Higher Degree Coursework (Masters and Doctorates)
    Approval status
    This course is approved by the University under the Higher Education Standards Framework.
    Australian Quality 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:
      • Burwood (Melbourne)
      • Cloud Campus

    Trimester 2 - July

    • Start date: July
    • Available at:
      • Burwood (Melbourne)
      • Cloud Campus

    Trimester 3 - November

    • Start date: November
    • Available at:
      • Burwood (Melbourne)
      • Cloud Campus

    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.

    Work experience

    You will have an opportunity to undertake a discipline-specific internship placement as part of your course. deakin.edu.au/sebe/wil.

    Entry requirements

    Entry information

    Deakin University offers admission to postgraduate courses through a number of Admission categories. In all categories of admission, selection is based primarily on academic merit as indicated by an applicant's previous academic record.

    All applicants must meet the minimum English language requirements.

    Entry will be based on performance in:

    • a Bachelor degree or other qualification at a higher AQF level in any discipline OR
    • other evidence of academic capability judged to be equivalent

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

    Fees and scholarships

    Fee information

    Estimated tuition fee - full-fee paying place
    $26,280 for 1 yr full-time - Full-fee paying place
    Learn more about fees and your options for paying.
    Estimated tuition fee - (CSP)
    Not applicable

    The tuition fees you pay will depend on the type of fee place you hold. 

    • If you are enrolled in a Commonwealth supported place, your tuition fees are calculated depending on the units you choose.
    • If you are enrolled in a full fee paying place, your tuition fees are calculated depending on the course you choose.

    In both cases, 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 Credit for Prior Learning you have.

    Each unit you enrol in has a credit point value. The ‘Estimated tuition fee’ is calculated by adding together 8 credit points of a typical combination of units for that course. Eight credit points is used as it represents a typical full-time enrolment load for a year.

    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 fees and available payment options.

    Scholarship options

    A Deakin scholarship could help you pay for your course fees, living costs and study materials. If you've got something special to offer Deakin - or maybe you just need a bit of extra support - we've got a scholarship opportunity for you. Search or browse through our scholarships

    Graduate outcomes

    Career outcomes

    Graduates of this course may find careers as data analysts, data scientists, analytics programmers, analytics managers, analytics consultants, business analysts, management advisors, management analysts, business advisors and strategists, marketing managers, market research analysts and marketing specialists.

    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 a broad, coherent knowledge of the analytics discipline, including: the origin and characteristics of data; the methods and approaches to dealing with data appropriately and securely; and how the use of analytics outcomes can be used to improve business, organisations or society.  Apply advanced knowledge and skills to decompose complex processes (from real world situations) to develop data analytics solutions for use in modern organisations across multiple industry sectors.  Assess the role data analytics plays in the context of modern organisations and society in order to add value.

    Communication

    Communicate effectively in order to design, evaluate and respond to advances in data analytics approaches, technology, future trends and industry standards and utilise a range of verbal, graphical and written forms, customised for diverse audiences including specialist and non- specialist clients, colleagues and industry personnel.

    Digital literacy

    Utilise a range of digital technologies and information sources to discover, select, analyse, synthesise, evaluate, critique and disseminate both technical and professional information.

    Critical thinking

    Appraise complex information using critical and analytical thinking and judgement to identify problems, analyse user requirements and propose appropriate and innovative solutions.

    Problem solving

    Generate data solutions through the application of specialised theoretical constructs, expert skills and critical analysis to real-world, ill-defined problems to develop appropriate and innovative IT solutions.

    Self-management

    Take personal, professional and social responsibility within changing national and international professional IT contexts to develop autonomy as researchers and evaluate own performance for continuing professional development.  Work autonomously and responsibly to create solutions to new situations and actively apply knowledge of theoretical constructs and methodologies to make informed decisions.

    Teamwork

    Work independently and collaboratively towards achieving the outcomes of a group project, thereby demonstrating interpersonal skills including the ability to brainstorm, negotiate, resolve conflicts, manage difficult and awkward conversations, provide constructive feedback, and demonstrate the ability to function effectively in diverse professional, social and cultural contexts.

    Global citizenship

    Engage in professional and ethical behaviour in the design, development and management of IT systems, in the global context, in collaboration with diverse communities and cultures.

     Approved by Faculty Board 27 July 2017

    Application information

    How to apply

    Apply direct to Deakin

    Applications can be made directly to the University through the Applicant Portal if you are only applying for one course. 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.

    Apply through Deakin

    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

    If you have a Bachelor's degree within same discipline area, you may be eligible for credit for 4 credit points (units) which means you need to complete 12 credit points (units). If you have a Graduate Certificate within the same discipline, you may be eligible for credit for 4 credit points (units) which means you need to complete 12 credit points (units). If you have a Bachelor's degree within different discipline area, no block credit offered - 16 credit point course.

    Tap the infographic to explore your options

    Alternative exits

    Credit for prior learning

    The University aims to provide students with as much credit as possible for approved prior study or informal learning which exceeds the normal entrance requirements for the course and is within the constraints of the course regulations. Students are required to complete a minimum of one-third of the course at Deakin University, or four credit points, whichever is the greater. In the case of certificates, including graduate certificates, a minimum of two credit points within the course must be completed at Deakin.

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

    Faculty contact information

    Faculty of Science, Engineering and Built Environment
    School of Information Technology
    Tel 03 9244 6699
    sebe@deakin.edu.au
    www.deakin.edu.au/information-technology

    We invite industry speakers to our classrooms to show our students what they can do with the knowledge of data analysis and optimisation in real-life.

    Vicky Mak

    SENIOR LECTURER, SCHOOL OF INFORMATION TECHNOLOGY

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