Program Overview

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Data Science

About the course

Content in this major is delivered in lectures given by world-renowned experts in the field, as well as tutorials with your peers and practical laboratory classes where you will put your theoretical knowledge into practice using the latest technologies. You'll develop an understanding of how to use technology for efficient and effective data collection, conversion, analysis, visualisation and interpretation. You'll learn how to integrate new technologies to create science, engineering and business systems, and how to design useful and usable software. The practical computing and information technology skills acquired will greatly complement knowledge and skills acquired in science, arts, business and engineering majors.

Quick details

• Status: Available
• Locations: Perth (Crawley campus)
• Attendance: Full-time, Part-time
• Delivery: On-campus
• Starting dates: Semester 1, Semester 2
• Weekly contact time: 16-25 hours' teaching time, plus your own study time.
• Level of study: Undergraduate
• Course Code: MJD-DATSC
• Full time/part time duration: 3 years (BSc), 4 years (BSc [Hons]), 4 years (BPhil[Hons])
• Honours Available: Yes
• Degrees course is available in: Bachelor of Science, Bachelor of Philosophy

Course Structure

Our undergraduate degrees offer you a broad range of options allowing you to combine subjects in a way that matches your career goals and personal interests.

Popular combinations

• Computer Science
• Management
• Marketing
• Accounting
• Agricultural Science
• Anatomy and Human Biology
• Biochemistry and Molecular Biology
• Botany
• Business Law
• Chinese Studies
• Communication and Media Studies
• Business Economics
• Environmental Science
• Finance
• Genetics
• Geology
• German Studies
• Human Resource Management
• Integrated Design
• Italian Studies
• Japanese Studies
• Korean Studies
• Medical Science
• Neuroscience
• Pathology and Laboratory Medicine
• Philosophy
• Physics
• Physiology
• Political Science and International Relations
• Economics
• Psychology (Extended Major)

Course structure details

Level 1

• Core:
  • CITS1401 Computational Thinking with Python (6)
  • CITS1402 Relational Database Management Systems (6)
  • PHIL1001 Ethics for the Digital Age: An Introduction to Moral Philosophy (6)
  • STAT1400 Statistics for Science (6)
• Bridging:
  • MATH1721 Mathematics Foundations: Methods (6)

Level 2

• Core:
  • CITS2402 Introduction to Data Science (6)
  • STAT2401 Analysis of Experiments (6)
  • STAT2402 Analysis of Observations (6)

Level 3

• Core:
  • CITS3200 Professional Computing (6)
  • CITS3401 Data Warehousing (6)
  • CITS3403 Agile Web Development (6)
  • STAT3064 Statistical Learning (6)
  • STAT3405 Introduction to Bayesian Computing and Statistics (6)

Admission requirements

The University of Western Australia welcomes applications from international and domestic school-leavers. If you’re interested in studying one of these majors, find out the admission details below.

Minimum entry requirements

• All India Senior School Certificate (CBSE): 9
• Canadian High School (except Quebec): 68
• French Baccalaureate: 10
• Gao Kao (PR China NCEE)/750: 507
• GCE A-Levels: 8
• German Abitur: 3.6
• Hong Kong Diploma of Secondary Education: 14
• Indian Senior School Certificate (CISCE): 45
• Indonesian Sekolah Menengah Atas (SMA) - Pass of 65: 75.5
• International Baccalaureate Diploma (IB): 24
• Malaysian STPM: 10
• Monash University Foundation Year: 254
• NCUK Foundation Program: 8
• Norwegian Vitnemål: 3.5
• Singapore - Cambridge A Levels: 6.5
• South African National Senior Certificate: 4
• South Korean College Scholastic Ability Test (CSAT): 324
• Sweden Slutbetyg: 14.5
• Trinity College Foundation: 280
• Unified Examination Certificate (UEC): 14
• University of Western Australia College (UWAC) Foundation Program: 61
• US College Board Advanced Placements: 7
• US College Board SAT: 1130
• Western Australian Universities' Foundation Program (WAUFP): 56
• Western Australian Certificate of Education (WACE) 2016 onwards: 75

English competency

• Minimum overall IELTS score of 6.5, with no band less than 6.0.

Prerequisites and recommended subjects

You can view the prerequisites and recommended subjects for your chosen course via the link below.

Fees and scholarships

Learn more about the fees that apply to you for this course. For fee type definitions and further assistance, see the Fee Calculator Help page. You can also search our database for scholarships that are relevant to you or this course.

Domestic Student Fees

• For Commonwealth-supported places, student contribution amounts are charged by unit, based on area of study. For a fee estimate, go to the Fee Calculator and select “I want to price my units”. Fees are subject to annual indexation. Refer to the Handbook to identify the units required.

International Student Fees

• Annual course fee: $46,300.00 (2025)
• Onshore international students are charged an annual course fee, charged per credit point at a rate dependent on the course in which the student is enrolled. Annual course fees are calculated based on an annual study load. Check the handbook to confirm the annual study load for your course.

Scholarships

• Scholarships are available to students from a diverse range of backgrounds, including academic achievement, financial need, educational disadvantage, leadership and community service, artistic or sporting achievements, and being from a rural or remote area.

Careers and further study

This course opens up a world of future study pathways and career opportunities.

Career Pathways

• As organisations around the world implement data analytics programs, the demand for data scientists is only set to increase. Opportunities exist in areas such as energy and resources engineering, bioinformatics and biochemistry, computational physics and astronomy, transportation, health, finance, marketing, geophysics, geographic information systems and biomechanics.

Further Study

• You could apply for entry to honours and the Master of Data Science after completing the requirements of this major.

Student Experience

Alexander Floyd

I’ve always been fascinated with numbers, technology and problem solving. The Data Science major enables me to draw on my talents and it empowers me to make a difference in this rapidly expanding field. The UWA undergraduate structure has also given me the flexibility not only to choose from a large variety of majors, but to study German as an elective.

The facilities and the staff here are world-class, with most of my lecturers and tutors holding PhDs, so I am constantly inspired. The projects and assignments are very relevant and the skills I am learning are easily transferable. The social life on campus is fantastic with all the clubs very welcoming and very active. As a mature-age student, I thought I might be too old to socialise, but this most definitely isn’t the case.