Note: This course is only available to re-enrolling students.

Course overview

Description

Computing and data analysis skills are becoming necessary in an ever-increasing number of disciplines and workplace contexts. This fully online undergraduate certificate will provide you with introductory data science skills to help you support data-driven decision making in your organisation and build the foundations of an exciting new career.

Award abbreviation
UGCertDSc
Course type
Undergraduate certificate course
Status
Rescinded subject to continuing students being able to re-enrol and complete
Admission requirements
Minimum ATAR Threshold is . The ATAR Subject Prerequisites are
Administered by
Physics, Mathematics and Computing; Graduate Research School

Course details

Structure
24 points comprising 4 six-point units. Students take four units in the semester.
Available to international students
No
Delivery mode
Internal
Standard full-time completion
6 months
Standard part-time completion
1 year (maximum 2 years)
Locations offered
UWA (Perth)
Domestic fee type
Commonwealth supported and/or HECS-HELP
Fees
Visit the fees calculator.

No study plans found for this course. See study plans for more information.

Course structure

Key to availability of units:
S1
Semester 1
S2
Semester 2

All units have a value of six points unless otherwise stated.

Take all units (18 points):

AvailabilityUnit codeUnitnameUnit requirementsContact hours
S1, S2CITS1401Computational Thinking with Python
Prerequisites
Successful completion of
Mathematics Methods ATAR or equivalent
or MATH1721 Mathematics Foundations: Methods
or MATX1721 Mathematics Foundations
or
Enrolment in
62510 Master of Information Technology
or 62530 Master of Data Science
or BH011 Bachelor of Engineering (Honours)
Incompatibility
CITS2401 Computer Analysis and Visualisation
Lectures: 2-hours per week; Labs: 2-hours per week; WorkshopS: 1-hour per week
S1, S2CITS1402Relational Database Management Systems
Prerequisites

Successful completion of
Mathematics Applications ATAR or equivalent
or MATH1720 Mathematics Fundamentals or equivalent
or MATX1720 Mathematics Fundamentals

or Enrolment in 62510 Master of Information Technology
or 62530 Master of Data Science
Incompatibility
CITS2232 Databases
lectures: 2 hours per week; labs: 2 hours per week
S1, S2PACM1101Communication in Practice
Incompatibility
BUSN1104 Business Communication for Change, Influence and Impact
3 hours per week

For students who have not completed Math Applications ATAR, take MATH1720 in the winter teaching period.

AvailabilityUnit codeUnitnameUnit requirementsContact hours
S1, S2MATH1720Mathematics Fundamentals
Prerequisites
Mathematics Applications ATAR [with a scaled score of less than 50] or with permission
Incompatibility
Mathematics Applications ATAR [with a scaled score of 50 or greater] or Equivalent or higher
3 x 1 hr lectures and 1 x 1hr workshop

For students who have completed Math Applications ATAR or equivalent, take STAT1400.

AvailabilityUnit codeUnitnameUnit requirementsContact hours
S1, S2STAT1400Statistics for Science
Prerequisites
Mathematics Applications ATAR
or MATH1720 Mathematics Fundamentals
or MATX1720 Mathematics Fundamentals or equivalent
Incompatibility
STAT1520 Economic and Business Statistics
Lectures: 3-hours per week; Laboratories: 2-hours per week

Rules

Note: This course is only available to re-enrolling students.

Title

1. These rules are the Undergraduate Certificate in Data Science Course Rules.

Terms Used

2. The Glossary provides an explanation of the terms used in these rules.

Applicability of the Student Rules, policies and procedures

3.(1) The Student Rules apply to students in this course.

(2) The policy, policy statements and guidance documents and student procedures apply, except as otherwise indicated in the rules for this course.

Academic Conduct Essentials, Communication and Research Skills And Indigenous Studies Essentials module

4.(1) Except as stated in (2), a student who enrols in an undergraduate degree course of the University for the first time irrespective of whether they have previously been enrolled in another course of the University, must undertake the Academic Conduct Essentials module (the ACE module), Communication and Research Skills (the CARS module) and Indigenous Studies Essentials (the ISE module) in the teaching period in which they are first enrolled.

(2) A student must successfully complete the ACE module within the first teaching period of their enrolment. Failure to complete the module within this timeframe will result in the student's unit results from this teaching period being withheld. These results will continue to be withheld until students avail themselves of a subsequent opportunity to achieve a passing grade in the ACE module. In the event that students complete units in subsequent teaching periods without completing the ACE module, these results will similarly be withheld. Students will not be permitted to submit late review or appeal applications regarding results which have been withheld for this reason and which they were unable to access in the normally permitted review period.

(3) A student who has previously achieved a result of Ungraded Pass (UP) for the CARS module or the ISE module is not required to repeat the relevant module.

Course structure

Satisfactory progress

Progress status

Deferrals

12. Applicants are not permitted to defer admission to this course and are expected to commence their course in the offered intake only. Approved leave is not available during the first academic year of this course. Applicants seeking admission to an alternative intake must submit a new application for that intake.