Course overview

Description

Digitalisation and Industry 4.0 will profoundly change the skills mix required as part of the workforce of the future. The Associate Degree in Applied Technologies contextualizes the role of digital technologies for modern engineering, and is designed to develop the skills and knowledge required to deliver Industry 4.0. The course content has been developed through University and industry partnerships and is designed to equip learners with both technical and professional skills. The course will develop skills in computer programming and automation tasks, alongside the natural language and communication skills require to engage with modern systems. The course will include innovation and entrepreneurship opportunities through a work-integrated learning (WIL) capstone, wherein students apply their specialised knowledge to nominated or selected real-world problems.

Award abbreviation
ADAT
Course type
Undergraduate associative course
Status
Current / 2025
Intake periods
Beginning of year and mid-year
Administered by
Physics, Mathematics and Computing

Course details

Structure
96 points comprising 16 six-point units. Students take four units in the semester.
Available to international students
No
Attendance type
Full- or part-time
Delivery mode
Internal
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.

For full-time students commencing in Semester 1, it is recommended (but not required) to complete PACM1101 before enrolling in PHIL1001.

Year 1

Take all units (36 points):

AvailabilityUnit codeUnitnameUnit requirementsContact hours
S1, S2CITS1003Introduction to Cybersecurity
Incompatibility
CITS3004 Cybersecurity
Lectures: 2-hours per week; Workshop/Practicals: 2-hours per week
S2CITS1501Introduction to Programming with Python
Incompatibility
Successful completion of
CITS1401 Computational Thinking with Python
Lectures: 2 hours per week for 12 weeks; Labs: 2 hours per week for 10 weeks from week 1.
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
S1, S2PACM1101Communication in Practice
Incompatibility
BUSN1104 Business Communication for Change, Influence and Impact
3 hours per week
S1PHIL1001Ethics for the Digital Age: An Introduction to Moral Philosophy
Incompatibility
PHIL1107 Ethics, Free Will and Meaning
3 hours per week
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

Students should take option units to the value of 30 points in total from Group A and B: students must take at least 6 points from Group B.

Group A
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
Successful completion of
CITS2401 Computer Analysis and Visualisation
or CITS1501 Introduction to Programming with Python
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, S2GENG1010Introduction to Engineering
Incompatibility
ENSC1003 Introduction to Professional Engineering
workshop sessions: 2 hours per week; practical sessions: 3 hours per week
S1, S2MATH1721Mathematics Foundations: Methods
Prerequisites
Mathematics Applications ATAR
or MATH1720 Mathematics Fundamentals
or MATX1720 Mathematics Fundamentals
or Mathematics Methods ATAR (with a scaled score of less than 50) or equivalent
Incompatibility
MATH1001 Mathematical Methods 1
and MATH1002 Mathematical Methods 2 and
MATH1011 Multivariable Calculus
or MATX1011 Multivariable Calculus
and
MATH1012 Mathematical Theory and Methods
or MATX1012 Mathematical Theory and Methods
and
STAT1520 Economic and Business Statistics
or STAX1520 Economic and Business Statistics
Lectures: 3-hours per week; Workshops: 2-hour per week

Students should take option units to the value of 30 points in total from Group A and B: students must take at least 6 points from Group B.

Group B
AvailabilityUnit codeUnitnameUnit requirementsContact hours
S2PHIL2008Machine Minds and Superintelligence: The Philosophy of Artificial Intelligence
Prerequisites
Any Level 1 unit
3 hours per week
S1STAT2401Analysis of Experiments
Prerequisites
Mathematics Applications ATAR
or MATH1720 Mathematics Fundamentals
or MATX1720 Mathematics Fundamentals or equivalent
or
Enrolment in
62530 Master of Data Science
lectures: 2 hours per week; labs: 2 hours per week
S2STAT2402Analysis of Observations
Prerequisites
Mathematics Applications ATAR
or MATH1720 Mathematics Fundamentals
or MATX1720 Mathematics Fundamentals or equivalent
or
Enrolment in
62530 Master of Data Science
Lectures: 3-hours per week; Computer Labs: 2-hours per week; Workshops: 1-hour per week

Year 2

Take all units (6 points):

AvailabilityUnit codeUnitnameUnit requirementsContact hours
S1GENG2007ERDi Testlab for Industry
Prerequisites
MATH1721 Mathematics Foundations: Methods (ID 5108)
or MATX1721 Mathematics Foundations
and
PACM1101 Communication in Practice (ID 1149)
or PACX1101 Communication in Practice
Lectures/seminars: 3 hrs per week (first 3 weeks and last 3 weeks) Workshops/practical sessions: 3 hrs per week (middle 6 weeks)

Rules

Title

1. These rules are the Associate Degree in Applied Technologies (Computer 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.

English Language competency requirements

5. To be considered eligible for consideration for admission to this course an applicant must satisfy the University's English language competence requirement as set out in the University Policy on Admission: Coursework.

Admission requirements

6.(1) To be considered for admission to this course an applicant must have—

(a) completion of a TAFE Diploma in a relevant field as defined by UWA;

or

(b) at least 5 years of relevant work experience undertaken in an English-language environment (including inventory management, customer management, data analyst, manufacturing or mechatronic technician, service technician, system architect or technician, or a similar field across the manufacturing or service sectors);

(2) a structured interview in which eligible applicants will be assessed to meet requisite skills and knowledge for entry into the course.

Admission ranking and selection

7. Where relevant, admission will be awarded to the highest ranked applicants or applicants selected based on the relevant requirements.

Course structure

8.(1) An Associate Degree course consists of 48 credit points (normally 8 units).

Satisfactory progress

Progress status

Deferrals

12. Applicants awarded admission to the course are entitled to a deferral of up to 12 months, as per the University Policy on: Admissions (Coursework).

Additional rules
Recognition of Prior Learning

11. Students who have completed a Diploma of Applied Technologies or Diploma of Engineering (Technical) from South Metropolitan TAFE are eligible to receive RPL for MATH1720 Mathematics Fundamentals, upon review and confirmation by the Program Chair.