Computing and Data Science major
Organisations across all industries and sectors are increasingly using data science in information analysis, storage, communication and distribution. In the Bachelor of Advanced Computer Science (Computing and Data Science) you will acquire the computing and data science knowledge and skills to understand and apply appropriate analytical methods to transform the way an organisation achieves its objectives, to deal effectively with large data management tasks, to master the statistical and machine learning foundations on which data analytics is built, and to evaluate and communicate the effectiveness of new technologies; putting you in high demand in the growing data science job market and providing you with many diverse career options as a graduate. This major will prepare you with practical skills in data science technologies for data collection, cleaning, conversion, analysis, visualisation, interpretation, storage, search, synthesis and cloud management.
Outcomes
Students are able to (1) apply data visualisation, interpretation, storage and synthesis skills in complex real-world settings; (2) use predictive modelling to forecast future trends, outcomes and scenarios; (3) discuss the opportunities and constraints of contemporary data science practice as it applies in various industries; (4) work effectively as a team member and as a team leader for real-world data science projects; (5) communicate data science, modelling and analytics clearly in oral, graphical and written formats; and (6) extend knowledge in data science through research, experimentation and analysis.
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
Computing and Data Science can only be taken as a degree-specific major in the following degree courses:
BH008 Bachelor of Advanced Computer Science [Honours]
BH005 Bachelor of Philosophy (Honours)
Overview of unit sequence
Computing and Data Science is a degree-specific double major comprising:
- six Level 1 units
- five Level 2 units
- seven Level 3 units
- six Level 2 complementary units
| Key to availability of units: |
|---|
| S1 = Semester 1; S2 = Semester 2; N/A = not available in 2021 |
Note: Units that are indicated as N/A may be available in 2022 or 2023.
Level 1
Take all units (36 points):
| Availability | Unit code | Unit name | unit requirements |
|---|---|---|---|
| S1, S2 | CITS1001 | Software Engineering with Java |
|
| S2 | CITS1003 | Introduction to Cybersecurity |
|
| S1, S2 | CITS1401 | Computational Thinking with Python |
|
| S2 | CITS1402 | Relational Database Management Systems |
|
| S1 | PHIL1001 | Ethics for the Digital Age: An Introduction to Moral Philosophy |
|
| S1, S2 | STAT1400 | Statistics for Science |
Level 2
Take all units (30 points):
| Availability | Unit code | Unit name | unit requirements |
|---|---|---|---|
| S2 | CITS2002 | Systems Programming |
|
| S1 | CITS2200 | Data Structures and Algorithms | |
| S2 | CITS2402 | Introduction to Data Science | |
| S1 | STAT2401 | Analysis of Experiments | |
| S2 | STAT2402 | Analysis of Observations |
Level 3
Take all units (42 points):
| Availability | Unit code | Unit name | unit requirements |
|---|---|---|---|
| S2 | CITS3001 | Algorithms, Agents and Artificial Intelligence |
|
| S1 | CITS3002 | Computer Networks |
|
| S2 | CITS3200 | Professional Computing |
|
| S1 | CITS3401 | Data Warehousing | |
| S1 | CITS3403 | Agile Web Development | |
| S2 | STAT3064 | Statistical Learning | |
| N/A | STAT3401 | Advanced Data Analysis |
Level 4
Take all units (48 points):
| Availability | Unit code | Unit name | unit requirements |
|---|---|---|---|
| N/A | CITS4010 | Computer Science Honours Research Project Part 1 |
|
| N/A | CITS4011 | Computer Science Honours Research Project Part 2 |
|
| S2 | CITS5503 | Cloud Computing |
|
| S1 | CITS5508 | Machine Learning |
|
| S1 | STAT4062 | Statistical Modelling and Inference | |
| S1 | STAT4066 | Bayesian Computing and Statistics |
Choosing your degree-specific major
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 allow you to choose a double 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 Computing and Data Science degree-specific major can be included in the Bachelor of Advanced Computer Science [Honours] course.
- Example 1:
- Course Study Plan: CSPH008-CDSDM
There are more choices open to you. For more examples, search the study plans .