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MAJOR

Data Science Major (BAdvSci) (Honours)

MJRH-ADDSC

TAUGHT BY: School of Electrical Engineering, Computing and Mathematical Sciences (EECMS)

DURATION

Duration of the course with a full-time study load. Studying part-time will extend the duration of your course.

If duration is not available (N/A) the offering may be part of a larger course.

N/A

CREDIT

A full-time study load usually consists of 200 credits (approximately eight units) per year, with 100 credits (approximately four units) in each semester.

800

About offering

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 and 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 Bachelor of Advanced Science (Honours) provides opportunities through second and third year to undertake internal and external internships and immersive work experience, sourced by the student, which can be used for course credit.

Students in this course gain practical experience programming in both R and Python and exposure to data science professionals. Work-based learning is ensured through the requirement to engage in immersive industry and/or research experience.

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.

Please note: beginning your studies in July may increase the duration of this course beyond four years due to unit availabilities.

Please refer to the handbook for additional course overview information. 

How to apply

This major sits within the Bachelor of Advanced Science (Honours) degree. To apply for this major, you will apply for the Bachelor of Advanced Science (Honours). In step 3 of the application process, you will be asked to confirm the major you wish to study.

Applying as an undergraduate student is easy. For information tailored to your situation, visit our easy to follow instructions to get your application started.

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Data Science

What you'll learn

  • Demonstrate an advanced knowledge of the nature of science, its methods and processes, and an advanced knowledge of the theoretical background to processes for efficient collection, management, secure storage and analysis of large data sets.
  • Critically analyse challenging and multi-faceted problems in data science, formulating hypotheses about data and developing innovative strategies for testing them; implement appropriate algorithms to analyse both large and small datasets.
  • Extract valid and meaningful conclusions from various types of large data sets that can support evidence based decision making, and incorporate them into the planning, conduct and communication of their own work.
  • Communicate approaches, ideas, findings and solutions to data science problems in a variety of modes to informed professional audiences.
  • Identify, select and use appropriate open source and proprietary data management and analysis tools to identify patterns or relationships in large volumes of data and address complex research questions.
  • Demonstrate intellectual independence and engage in self-driven continuous discipline and professional education and training as a data scientist.
  • Participate in the generation and application of science in addressing global problems while understanding the global nature of data science; apply appropriate international standards in data science and data analytics.
  • Work collaboratively and respectfully with data scientists from a range of cultural backgrounds and understand the importance of the cultural diversity and individual human rights that impact data science.
  • Be able to work as an independent data scientist and collaboratively within teams either as a professional leader or collaborator using effective problem solving and decision making skills within a professional context.

Why study Data Science Major (BAdvSci) (Honours)

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’ jobs.

How this course will make you industry ready

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.

Student profile

View our student profile table to get an indication of the likely peer cohort for new students at Curtin University. This table provides data on students that commenced undergraduate study and passed the census date in the most relevant recent intake period for which data are available. It includes those admitted through all offer rounds and international students studying in Australia.

Career information

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.

Advanced standing / credit transfer / recognition of prior learning

At Curtin, we understand that everyone’s study journey has been different.

You may have already studied some of the units (subjects) listed in your Curtin course, or you may have work experience that matches the degree requirements.

If this applies to you, you can apply for credit for recognised learning (CRL), which means your previous study is recognised and matched against a similar unit in your intended Curtin course.

A successful CRL application exempts you from having to complete certain units within your course and means you could finish your degree in a shorter amount of time.

CRL is also known as recognition of prior learning, advanced standing and credit transfer.

Use the CRL search to find out how much CRL you qualify for, or contact us at:

Email: crl@curtin.edu.au
Tel: 1300 222 888

CRL search

At Curtin, we understand that everyone’s study journey has been different.

You may have already studied some of the units (subjects) listed in your Curtin course at another educational institution, or you may have work experience that matches the degree requirements.

A successful CRL application exempts you from having to complete certain units within your course and means you could finish your degree in a shorter amount of time.

CRL is also known as recognition of prior learning, advanced standing and credit transfer.

Use the CRL search to find out how much CRL you qualify for, or contact us at:

Email: ci-enquiries@curtin.edu.au
Tel: 1300 222 888

CRL search

Fees and charges

Please view the degree for indicative fees.

How to apply

Please review information on how to apply for the campus of your choice:

Apply now

Next steps

This major/stream is part of a larger course. Please view the About offering tab for more information, including how to apply.

Where to get further information

Applicants applying for an undergraduate degree with an International Baccalaureate (IB) Diploma

Find information on how you can apply to study at Curtin with an International Baccalaureate (IB) Diploma if you are applying for an undergraduate degree.

Applicants with other international qualifications

Find information on what qualifications you can use to apply for a Curtin course.

  • The offering information on this website applies only to future students. Current students should refer to faculty handbooks for current or past course information. View courses information disclaimer.

  • Curtin course code: MJRH-ADDSC
  • This offering was last updated on: 27/09/2019