Data Science major

Strong computing and data analysis skills are becoming necessary in an ever-increasing number of disciplines and workplace contexts. This major focuses on data and scientific computation including technologies for efficient and effective data collection, conversion, analysis, visualisation, interpretation, storage, search, synthesis and provision through the internet. Many professional organisations use computing resources extensively for information analysis, storage, communication and distribution, providing you with many diverse career options as a graduate. The Data Science major provides students with practical computing and information technology skills.

Outcomes

Students are able to (1) apply computational and statistical techniques to analyse diverse real-world datasets; (2) construct data science analyses in incremental and integrated stages; (3) explain ethical and social aspects and opportunities and constraints of contemporary data science practice.; (4) demonstrate ability to work effectively as a team member and as a team leader; (5) communicate data analytics processes and results clearly in oral and written formats in professional and lay terms; and (6) assess critically alternative solutions for the same data science project.

Broadening guidelines

All students studying towards a Bachelor's Degree at UWA are required to Broaden their studies by completing a minimum of four units (24 points) of study outside their degree specific major. Broadening is your opportunity to explore other areas of interest, investigate new disciplines and knowledge paradigms and to shape your degree to suit your own aspirations and interests. Many of you will be able to undertake more than this minimum amount of broadening study and we encourage you to do so if this suits your aspirations. Over the next few months you will find here some broadening suggestions related to your degree-specific major. While we know that many students value guidance of this sort, these are only suggestions and students should not lose sight of the opportunity to explore that is afforded by your Broadening Choices. Advice can also be sought from your Allocated Student Advising Office.

Prerequisites

Mathematics Methods ATAR OR Mathematics Applications ATAR with a mathematics unit taken in the first year.
Students without ATAR Mathematics will take two first-year mathematics units.

Data Science can be taken as a degree-specific major in the following degree courses:

BP004 Bachelor of Science
BH005 Bachelor of Philosophy (Honours)

Overview of unit sequence

Data Science is a degree-specific single major comprising:

  • four Level 1 units
  • three Level 2 units
  • five Level 3 units
Key to availability of units:
S1 = Semester 1; S2 = Semester 2

Level 1

Degree-specific major units
Take all units (24 points):

Students taking Data Science in conjunction with Engineering Science will gain credit for CITS2401 Computer Analysis and Visualisation (Engineering Science) by completing (CITS1401 Computational Thinking with Python and CITS2402 Introduction to Data Science). Students replace STAT1400 (Data Science major) with MATH1011 and MATH1012 (Engineering Science major)

Availability Unit code Unit name unit requirements
S1, S2 CITS1401 Computational Thinking with Python
Prerequisites:
Mathematics Applications ATAR
or
MATH1720 Mathematics Fundamentals
or
equivalent
or
higher
Co-requisites:
Nil.
Incompatibility:
Nil.
S2 CITS1402 Relational Database Management Systems
Prerequisites:
Mathematics Applications ATAR
or
MATH1720 Mathematics Fundamentals
or
equivalent
or
higher
Co-requisites:
Nil.
Incompatibility:
CITS2232 Databases
S1 PHIL1001 Ethics for the Digital Age: An Introduction to Moral Philosophy
Prerequisites:
Nil.
Co-requisites:
Nil.
Incompatibility:
PHIL1107 Ethics, Free Will and Meaning
S1, S2 STAT1400 Statistics for Science
Prerequisites:
Mathematics Applications ATAR
or
MATH1720 Mathematics Fundamentals
or
equivalent
or
higher
Co-requisites:
Nil.
Incompatibility:
STAT1520 Economic and Business Statistics

Level 2

Degree-specific major units
Take all units (18 points):
Availability Unit code Unit name unit requirements
S2 CITS2402 Introduction to Data Science
Prerequisites:
CITS1401 Computational Thinking with Python
or
CITS2401 Computer Analysis and Visualisation
Co-requisites:
Nil
Incompatibility:
Nil
S1 STAT2401 Analysis of Experiments
Prerequisites:
Nil
Co-requisites:
Nil.
Incompatibility:
Nil
S2 STAT2402 Analysis of Observations
Prerequisites:
Nil
Co-requisites:
Nil.
Incompatibility:
Nil

Level 3

Degree-specific major units
Take all units (30 points):
Availability Unit code Unit name unit requirements
S2 CITS3200 Professional Computing
Prerequisites:
completion of at least 84 points, including ( CITS1401 Computational Thinking with Python
Or
CITS1001 Software Engineering with Java ) And ( CITS2002 Systems Programming
Or
CITS2200 Data Structures and Algorithms
Or
CITS2402 Introduction to Data Science
Co-requisites:
Nil.
Incompatibility:
CITS5206 Professional Computing
S1 CITS3401 Data Warehousing
Prerequisites:
CITS1402 Relational Database Management Systems
Co-requisites:
Nil.
Incompatibility:
CITS5504 Data Warehousing (ID 5245)
S1 CITS3403 Agile Web Development
Prerequisites:
CITS1001 Software Engineering with Java
or
CITS1401 Computational Thinking with Python
or
CITS2002 Systems Programming
or
equivalent
Co-requisites:
Nil.
Incompatibility:
CITS5505 Agile Web Development
S2 STAT3064 Statistical Learning
Prerequisites:
( STAT2401 Analysis of Experiments
Or
STAT2062 Fundamentals of Probability with Applications ) And ( MATH1720 Mathematics Fundamentals
Or
MATH1012 Mathematical Theory and Methods )
Co-requisites:
Nil
Incompatibility:
Nil
S1 STAT3405 Introduction to Bayesian Computing and Statistics
Prerequisites:
MATH1012 Mathematical Theory and Methods
or
STAT2401 Analysis of Experiments (ID 390)
Co-requisites:
Nil
Incompatibility:
STAT4066 Bayesian Computing and Statistics (ID 6204)

Choosing your degree-specific major

General degrees

You must satisfy the requirements of a degree-specific major before you complete your course. The flexible structure of an undergraduate course allows you to try out a number of different subjects to see what interests you before nominating your degree-specific major. You have the choice to either nominate your degree-specific major when you first enrol in the course or delay nominating it until your second year.

To plan the first year of your study without nominating a degree-specific major, you are advised to choose units that will pave the way to two or more degree-specific majors that are of interest to you. For examples of the choice of units available in first year, search the first-year study plans .

To fully understand the structure of an undergraduate course, read the course structure information and the Undergraduate Degree Course Rules.

The following example illustrates how the Data Science degree-specific major can be included in the Bachelor of Science course.

Example: Course Study Plan: CSP004-DATSC

There are more choices open to you. For more examples, search the study plans .

If you are unsure what else to study alongside this major, please read our Faculty and Industry recommended electives and second majors.
Specialised degrees – Bachelor of Advanced Computer Science (Honours), Bachelor of Automation and Robotics, Bachelor of Environmental Design, Bachelor of Music

You must satisfy the requirements of the degree-specific major in your degree before you complete your course.

Bachelor of Philosophy, Politics and Economics

This comprehensive degree does not require you to choose a degree-specific major.

Choosing a second major

You also have the option to choose a second major from those available in the Bachelor of Arts, Bachelor of Biomedical Science, Bachelor of Commerce, Bachelor of Design Only available to re-enrolling students. and Bachelor of Science courses, giving you the opportunity to pursue your interests no matter how different they are.

The following example illustrates how the Data Science degree-specific major can be combined with a second major in the Bachelor of Science course.

Example: Course Study Plan: CSP004-DATSC-Generic

For more examples of combinations of majors, search the study plans .