Data Science Major (BSc Science)

Outline Outline

Data scientists collate and analyse large volumes of data and communicate their findings to a range of audiences. Their ability to use big data to predict future trends is becoming an essential part of decision making in business and government.

Data sets are being generated at an unprecedented rate and data availability will continue to increase. Every industry is using large volumes of data - from predicting weather patterns and optimising harvesting in agriculture, to improving patient diagnosis in the health industry, to enhancing the management of remote infrastructure in mining.

As a multidisciplinary major science, data science combines studies in computing, emerging internet technologies, media and statistics. You will gain a foundation in programming and statistics, which will form the basis of higher-level studies in data mining, data security and computer simulation.

Throughout the course, you'll build your capacity to extract, analyse and visualise large volumes of data, and communicate analytical outcomes to various audiences. You'll graduate equipped to enter a range of industries where data science is key to innovation.

This major sits within the Bachelor of Science (Science) degree. It can also be studied as part of the Bachelor of Advanced Science course.

See our handbook for more course information.

How this course will make you industry ready

Curtin's industry links enables this course to benefit from an industry advisory group providing guidance on course content. The advisory group comprises representatives from the resources sector, management consulting, data analytics services and spatial data product developers, and enterprises such as Optika Solutions and PwC.

What you'll learn

• have demonstrated knowledge and understanding in Data Science that is typically at a level that, whilst supported by advanced textbooks, includes some aspects that will be informed by knowledge of the forefront of Data Science, GC1
• can apply their knowledge and understanding in a manner that indicates a professional approach to Data Science, and have competencies typically demonstrated through devising and sustaining arguments (to both specialist and non-specialist audiences) and solving problems within Data Science, GC2
• understand the constructs of the scientific method and apply these principles in Data Science using digital technologies, GC3
• can gather and interpret relevant data within Data Science to inform judgements that include reflection on relevant social, scientific, or ethical issues, including being aware of the diversity of international perspectives associated with Data Science, and how these impact upon the practice of Data Science, GC4
• understand and appreciate cultural diversity and how it impacts on the practice of Data Science, GC5
• display a high standard of professional behaviour, including effective time management, both independently and as a team member, GC6