Graduate Certificate of Data Analytics (T3 2020)

Postgraduate coursework

With a focus on fundamental data analytics, Deakin's Graduate Certificate of Data Analytics covers foundation skills, security and privacy issues, research and development, and real world analytics.

This is the Trimester 3, 2020 version of this course.

The Trimester 3 teaching period starts from 9 November 2020.

Applications for this course close 1 November 2020.

Key facts

Duration

0.5 year full-time or part-time equivalent

Key dates

Direct applications to Deakin for Trimester 3 2020 close 1 November 2020

Current Deakin Students

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

Course information

The Graduate Certificate of Data Analytics is ideal for students without a computing background, as well as those who’d like to bolster their industry experience with a recognised academic qualification.

With a focus on fundamental data analytics, this course covers foundation skills, security and privacy issues, research and development, and real world analytics.  This course gives you the essential skills and knowledge for employment across a range of industries and prepares you for further studies in IT and Data Science.

Units in the course may include assessment hurdle requirements.

Read More

Course structure

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

The course comprises a total of 4 credit points, which must include the following:

  • Four (4) core Fundamental Data Analytics Studies units (SIT718, SIT719, SIT740, MIS770)(4 credit points)
  • Completion of STP050 Academic Integrity (0-credit point compulsory unit)

Students are required to meet the University's academic progress and conduct requirements. Click here for more information.

Core

Year 1 - Trimester 1

  • Academic Integrity (0 credit points)
  • Real World Analytics
  • Security and Privacy Issues in Analytics
  • Research and Development in Information Technology
  • Foundation Skills in Data Analysis
  • Key information

    Award granted
    Graduate Certificate of Data Analytics
    Year

    2020 course information

    Deakin code
    S576
    Level
    Postgraduate (Graduate Certificate and Graduate Diploma)
    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 8.

    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

    INTERNATIONAL STUDENTS – Please note that due to Australian Government regulations, student visas to enter Australia cannot be issued to students who enrol in Deakin’s Cloud Campus.

    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

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

    Need help?

    Ask a question about studying at Deakin

    Contact us

    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 any discipline OR
    • 2 years related work experience OR
    • Evidence of academic capability judged to be equivalent

     

    Recognition of 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 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
    $13,900* - Full-fee paying place
    Learn more about fees and your options for paying.
    Estimated tuition fee - (CSP)?
    Not applicable

    The available fee places for this course are detailed above.

    Tuition fees are determined by your enrolment:

    • If you are offered a full fee paying place, your tuition fees are calculated based on your course.
    • If you are offered a Commonwealth supported place, your tuition fees are calculated depending on the units you choose. Not all courses at Deakin have Commonwealth supported places available.

    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 four credit points of study. Each unit you enrol in has a credit point value. The 'Estimated tuition fee' is calculated by adding together 4 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 fees and available payment options.

    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 Deakin Application 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.

    Entry pathways

    Further study options:

    Upon completion of the Graduate Certificate of Data Analytics, you could use the credit points you’ve earned to enter into further study, including:

    S777 Master of Data Science

    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

    Why choose Deakin

    Career outcomes

    Deakin's Graduate Certificate of Data Analytics prepares students for professional employment across all sectors as data analytics specialists.  Data analysts may find employment with organisations who make data-driven decisions, in areas including software development, pharmaceutical discovery, marketing, consulting, manufacturing,
    financial services, telecoms, e-commerce, retail, health care, public services, information security and more.

     

    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 data analytics solutions based on user requirements by applying foundational knowledge of real world analytics concepts and technologies.

    Communication

    Communicate data analytical solutions as appropriate to the context to inform, motivate and effect change utilising a range of verbal, graphical and written methods, recognising the needs of diverse audiences.

    Digital literacy

    Use digital media to locate and collect information to prepare for data analysis.

    Critical thinking

    Use the frameworks of logical and analytical thinking to evaluate data analytics information and user requirements.

    Problem solving

    Design solutions for automating data analysis processes by applying foundational technical knowledge and tools.

    Self-management

    Demonstrate the ability to work autonomously in order to meet requirements.

    Teamwork

    Not applicable

    Global citizenship

    Engage in professional and ethical behaviour in the collection, processing, and presentation of data.

    Approved by Faculty Board 6 September 2018