Data Science (Advanced Science)
|Indicative ATAR||95 Indicative TER (ATAR) - This figure provides an indication of the TER (ATAR) normally required to enter this course. It is provided as a guide only.|
|Study method||Full-time or part-time|
|Intake||February or July|
|Duration||4 years full time|
Every industry is using the increasing availability of large volumes of data to grow - from predicting weather patterns and optimising harvesting in agriculture, to improving patient diagnosis and treatment in the health industry, to enhancing the management of remote infrastructure in mining. Central to harnessing the power of data to drive innovation is the Data Scientist. This Data Science major is multidisciplinary with fields of study in computing, statistics, emerging internet technologies and media studies.
This major is part of the Bachelor of Advanced Science (Honours), a course designed for high performing students to pursue their interest in Science through a core of research, leadership and entrepreneurship. It provides a flexible and personalised approach to studying Data Science with students able to explore the field through for-credit immersive research experiences, industry placement and/or interdisciplinary team-based projects. The major culminates in a capstone experience in which students will have the opportunity to pursue Physics projects that may be based anywhere from pure research right through to translational (entrepreneurial) science.
The major is multidisciplinary with fields of study in computing, statistics, emerging internet technologies and media studies. Foundational studies in programming and statistics form the basis of higher level studies in data mining, data security and computer simulation. The major builds students’ capacity to extract, analyse and visualise large volumes of data and communicate analytical outcomes to a range of audiences.
Graduates from the major will be equipped to enter a range of industries where data science is key to data-driven innovation.
Graduates from the major will be equipped to enter a range of industries where data science is key to data-driven innovation. You will have highly transferable skills that enable career flexibility and international employment opportunities.
Entry requirements for Australian and New Zealand students
Indicative TER (ATAR) Indicative TER (ATAR) - This figure provides an indication of the TER (ATAR) normally required to enter this course. It is provided as a guide only.
STAT entry STAT entry - The Special Tertiary Admissions Test (STAT) assesses competencies considered important for success at uni. These tests are provided by the Tertiary Institutions Service Centre (TISC) to help mature age candidates apply for certain courses.
STAT is not accepted for this course
Please see our correlation comparability for previous TEE subjects, WACE courses and WACE ATAR courses.
Mature age entry
Essential WACE courses
- Mathematics Methods ATAR
Desirable WACE coursesMathematics Specialist ATAR
This course is designed for high performing science students. As such students are expected to maintain a minimum academic standard. If that standard is not reached students will be recommended to transition to the Bachelor of Science (Data Science).
Fees for Australian and New Zealand students
Unfortunately fee information is not available for this course at this time. Please check out our Fee Calculator for an estimation of course fees.
The requirements of this course may attract additional costs. For more information visit other fees and charges.
The majors in Curtin’s Advanced Science (Honours) are unique in Western Australia in their combination of discipline focus, capacity to specialise within that discipline or pursue other interests, and research and work experience within the course. You will have a distinctive set of skills and experience that lay the foundation for a career as a scientist able to work across the range of ‘science’ job: from pure research to translational and entrepreneurial science.
The data science major develops skills across disciplines and allows students to focus their analytical and data visualisation skills through electives and minor programs. It has been developed and with industry and is reviewed annually by external advisors to ensure that the skills and knowledge are up to date and relevant to employers in this dynamic field.