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Postgraduate Coursework

Graduate Diploma of Data Science

2018

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Not available to international students.
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Overview
Location
Satac Codes
Casuarina Campus
  1GD528
External Studies
  1GD528
Course Duration
Full-time
1 year/s
Part-time
2 year/s
Availability for Admission
Domestic
Semester 1
Semester 2
International
Semester 1
Semester 2
CDU Reference
CDU Course Code

TDASC1

Award
Graduate Diploma of Data Science
Faculty/College
College of Engineering, IT and Environment
Sector
HE
Area of study
Engineering and IT

The Graduate Diploma in Data Science will further develop your technical and analytical skills needed to manage and gain useful insights from massive data sets.

This qualification complements the following multi-disciplinary areas:

  • computer science
  • information technology
  • information systems
  • statistics
  • mathematics
  • engineering or a program with substantial quantitative competencies.

Your coursework will also include a project-based assessment giving you the freedom to focus on what you are passionate about.

Admission requirements

Successful completion of a recognised Bachelor degree with a major in computer science, information technology, information systems, statistics, mathematics, engineering, or a program with substantial quantitative competencies.

Course fees

Non-Commonwealth supported places

Full fee paying places are available in this course.
Information about fees and charges can be found at Fees and Payments, Tuition Fee and 2018 HE Units and Fees.
 

International full fees

International course fees are provided on the International Office Fee Schedule: www.cdu.edu.au/international/future-students/courses.

International applications

English Language Requirements for International Students

For detail on English Language Entry Requirements please read the entry requirements provided for International students.

How to Apply

International applicants apply directly to CDU and should refer to the information provided for International future students Apply.

Career opportunities

Graduating from this course may lead to a career as a business analyst, data scientist, data analyst, data engineer and data manager.


  • Pathways for Higher Education to Higher Education

    For information about credit transfer available to students with complete or incomplete study at this or other Institutions refer to Pathways for Higher Education to Higher Education

    Credit transfer

    For further information on credit transfer and how to apply visit ASK CDU

  • This course is accredited by the University in accordance with the Higher Education Standards.

  • Australian qualification framework

    This course is recognised in the Australian Qualifications Framework at Level 8.

Contact details

For further information about the course, enrolment procedures, closing dates and other administrative issues please contact Student Central on:

Email: student.central@cdu.edu.au Phone: (08) 8946 7766 or 1800 061 963 (free call)

Course structure

The course consists of core units, specialist elective units and elective units. This course is available externally by distance learning for those who are not able to attend classes on campus on a regular basis. Access to the internet is required for distance learning, with access to high speed broadband highly recommended.

A candidate must successfully complete units totalling 80 credit points (cp) as detailed below. All units are valued at 10 credit points unless indicated.

Unit type Credit Points Specific requirements
Core Units
(6 units)
60cp Compulsory Core units totalling 60 credit points as detailed below.

BIS551 Business Intelligence and Data Mining
PRT551 Project Management, Risk and Reliability
PRT456 Information Systems Management
HIT400 Discrete Structures
PRT561 Principles of Data Science
PRT562 Data Analytics and Visualisation
 

Specialist Electives
(2 units)
20cp Specialist Elective units totalling 20 credit points as detailed below.

BUS501 Decision Making
ENV511 Statistical Methods for Impact Analysis
PHM553 Biostatistics
STA510 Business Statistics
 

  80cp Total Credit Points

Students who commenced in or after 2013
The grade of "PC" cannot be counted towards a Graduate Diploma AQF Level 8 course award.
Students should refer to the current Grading Policy and Common Course Rules for further information.

Study plan

Students commencing in Semester 1

The Recommended Study Plan provided below is suitable for a student commencing in semester 1 and enrolling in a standard load. Students entering this course with advanced standing, or wishing to reduce or vary their study plan due to work, personal, financial or other reasons should use the table as a guide to create an individual study plan.

Legend: CO = Core Unit SE = Specialist Elective

 

Semester 1 Semester 2
Year 1
PRT551 Project Management, Risk and Reliability CO PRT561 Principles of Data Science CO
BIS551 Business Intelligence and Data Mining CO PRT456 Information Systems Management CO
PRT562 Data Analytics and Visualisation CO HIT400 Discrete Structures CO
Specialist Elective SE Specialist Elective SE

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Students commencing in Semester 2

The Recommended Study Plan provided below is suitable for a student commencing in semester 2 and enrolling in a standard load. Students entering this course with advanced standing, or wishing to reduce or vary their study plan due to work, personal, financial or other reasons should use the table as a guide to create an individual study plan.

Legend: CO = Core Unit SE = Specialist Elective

 

Semester 1 Semester 2
Year 1
    PRT561 Principles of Data Science CO
    PRT456 Information Systems Management CO
    HIT400 Discrete Structures CO
    Specialist Elective SE
Year 2
PRT551 Project Management, Risk and Reliability CO    
BIS551 Business Intelligence and Data Mining CO    
PRT562 Data Analytics and Visualisation CO    
Specialist Elective SE    

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Everything you need to get started

How to apply for domestic students

Applications for postgraduate courses at CDU are submitted through SATAC.

 

The application process is simple and can be completed online.

 

To help you out, we've put together an easy to follow step-by-step guide on how to apply.

Admission requirements for domestic students

Before applying, you may want to check if you meet the admission requirements for studying with CDU.

 

CDU has many pathways to study, so don't worry if you don't meet the admission requirements right now. There is a study pathway to get you started on your journey.

Not sure if you are a domestic or international student?

That's OK - it can be a little tricky to know the difference.

 

To help you out, we've put together a guide to answer any questions you might have.

 

Things like the difference between domestic and international students or the difference between course types like VET and undergraduate.

Are you applying as an International Student?

Everything you need to know to apply

How to apply for international students

Applications to CDU must be submitted online.

 

The process is simple, all you need is a valid email address to create your online account.

 

Once you have started the application you will have the option of saving your application and resuming it at a later date.

 

There is no application fee when you apply online.

Find a CDU agent partner

Applicants may seek further information about international education in Australia from the Australian Government Department of Education and Training or from our overseas / external representatives.

 

To help with the process, we've compile a list of authorised representatives.

Not sure if you are a domestic or international student?

That's OK - it can be a little tricky to know the difference.

 

To help you out, we've put together a guide to answer any questions you might have.

 

Things like the difference between domestic and international students or the difference between course types like VET and undergraduate.

Are you applying as a Domestic Student?

We're here to help you

Need some help with your CDU application?
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