CM45 - Professional Certificate in Business (Data Science)

Overview

Course Overview

The Professional Certificate in Business (Data Science) will introduce you to the world of data analytics in business.  You will obtain essential skills and knowledge in using software to engage in strategic analyses for better business decision making and learn how to apply practical tools to ensure ethical data collection and usage practices. The Professional Certificate (Data Science) allows you to study areas that meet your specific needs without studying a full Masters qualification, but successful completion of the Professional Certificate (Data Science) will allow you to stand out and succeed at work, and provides an option to continue to further study with credit for this study towards a Masters course.

Career Information

Business Management, Business Representative.

Course Details
Duration 0.5 years full-time or 1 years part-time
Credit Points that Must be Earned 12
Number of Units Required CQUniversity uses the concept of credits to express the amount of study required for a particular course and individual units. The number of units varies between courses. Units in postgraduate courses normally consist of 6 points of credit or multiples thereof (e.g. 12, 18, 24).
Expected Hours of Study One point of credit is equivalent to an expectation of approximately two hours of student work per week in a term.
Course Type Postgraduate Not Applicable
Qualification (post nominal) Cert
AQF Level Short Course

Admission Codes

Domestic Students
Tertiary Admission Centre Codes (TAC) Codes 		Not Applicable
International Students
CRICOS Codes 		Not Applicable
Where and when can I start?
Units offered internally at the below campuses may be delivered using a combination of face-to-face and video conferencing style teaching.
Units offered via MIX mode are delivered online and require compulsory attendance of site-specific learning activities such as on-campus residential schools, placements and/or work integrated learning. See Course Features tab for further information. Online units are delivered using online resources only.
Please Click Here for more information.
The following tables list the courses availabilities by location and term. Directing your pointer over your preferred location will provide further information if this course is not available for the full duration. Please be sure to also check individual unit availability by location and term prior to enrolling.

Domestic Availability

Term 2 - 2023

Jakarta

Term 2 - 2022

Jakarta

Term 1 - 2022

Jakarta
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International Availability

Term 2 - 2023

Jakarta

Term 2 - 2022

Jakarta

Term 1 - 2022

Jakarta
Show All
For any problems regarding admissions availability for the selected course please contact 13 CQUni (13 27 86) or send us an email at http://contactus.cqu.edu.au/
What do I need to start?
Entry Requirements

The entry requirements for a professional certificate course are:

(a) an undergraduate degree or equivalent; or

(b) at least 5 years full-time documented relevant work experience.

All students must meet English language requirements that are IELTS 6.0 with no band lower than 5.5 or equivalent.

(See CQU English language requirement for specific details and other standards or methods by which this requirement can be that met).

Security Requirements
No information available at this time
Health Requirements
No information available at this time
Assumed Knowledge

Nil.

Fees and Charges
Course Features

Awards and Accreditation

Interim Awards Not applicable
Exit Awards Not applicable
Accreditation
  • Not applicable

Residential School Requirements

No Residential School for this course.

Practicum/Work Placement

Not applicable

Predicted Enrolments

Year Number of Students
First Year 10
Second year 10
Third Year 10
Inherent Requirements
There are currently no inherent requirements associated with this course.
Core Learning Outcomes
  • 1. Create new business information by integrating new learnings with previous experience
  • 2. Critically analyse complex information and data to solve business problems
  • 3. Analyse data collection processes and data usage using established ethical techniques and strategies to minimise risk and harm associated with data driven organisational processes
  • 4. Communicate knowledge, skills and ideas in an effective manager to a range of audiences, including both internal and external stakeholders.
Please refer to the Core Structure Learning Outcomes
Course Structure

In order to complete this course, you must:

  1. Complete the core structure

Core Structure

View Full Course Structure
Number of units: 2 Total credit points: 12

Available units
Students must complete the following compulsory units:
ACCT28003 Business Analytics Techniques
MGMT29005 Data and Ethics
More Details
There is no additional information for this course.