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

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

One year part-time

Campuses

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.

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 and modern organisations are placing increasing emphasis on the use of data to inform day-to-day operations and long-term strategic decisions. Take the next step in your career with essential skills in data analytics enabling you to discover insights and support decision making.

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.

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
  • Analytics for Security and Privacy
  • Research and Development in Information Technology
  • Foundation Skills in Data Analysis
  • Key information

    Award granted
    Graduate Certificate of Data Analytics
    Year

    2021 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:
      • Cloud Campus

    Trimester 2 - July

    • Start date: July
    • Available at:
      • 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. 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

    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

     

    IELTS / English language requirements

    Please note that English language requirements exist for entry to this course and you will be required to meet the English language level requirement that is applicable in the year of your commencement of studies.

    It is the students’ responsibility to ensure that she/he has the required IELTS score to register with any external accredited courses.  (more details)

    Recognition of prior learning

    Deakin 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 with Deakin, 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 with Deakin.

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

    Recognition of Prior Learning may be granted to applicants based on prior studies and/or equivalent industry experience.

    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 this course within the same year in which they started. 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 you have.

    The 'Estimated tuition fee' is calculated by adding together four credit points of study. Four credit points is used as it represents a typical enrolment load for a Graduate Certificate.

    Each unit you enrol in has a credit point value. 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 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

    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

    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

    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 27 June 2019