Graduate Certificate of Data Analytics

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.

Key facts

Duration

0.5 year 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

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.

Key information

Award granted
Graduate Certificate of Data Analytics
Year

2019 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

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.

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
  • a minimum of 2 years related work experience

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

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

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.

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

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

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

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

Still haven't found what you are looking for?