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Curtin University

  • 28% international / 72% domestic

Data Science Minor

  • Non-Award

Data is used in all industries to drive innovation and growth. Data Scientists are able to harness the power of data to be central in these processes across a range of industries.

Key details

Degree Type
Non-Award
Study Mode
Online

About this course

Outline Outline

Data is used in all industries to drive innovation and growth. Data Scientists are able to harness the power of data to be central in these processes across a range of industries. The Data Science Minor provides students, knowledge in statistics and programming to enable them to extract and analyse data to solve practical problems. Students learn how to mine large datasets and can choose to focus on computer simulation or data security.

What you'll learn
  • Have demonstrated some knowledge and understanding in Data Science that is typically at a level supported by textbooks, but not necessarily at the forefront of the field, GC1
  • Can apply their knowledge and understanding in a manner that indicates a professional approach to the field and have developing competencies typically demonstrated through devising and sustaining arguments (to both specialist and non-specialist audiences) and solving straightforward problems within Data Science, including using digital technologies, GC2, GC3
  • Can gather and interpret relevant data within Data Science to inform judgements that include some reflection on relevant social, scientific, or ethical issues related to Data Science, GC4, GC5
  • Demonstrate a developing standard of professional behaviour, including effective time management, both independently and as a team member, GC6

Study locations

Online

What you will learn

  • Have demonstrated some knowledge and understanding in Data Science that is typically at a level supported by textbooks, but not necessarily at the forefront of the field, GC1
  • Can apply their knowledge and understanding in a manner that indicates a professional approach to the field and have developing competencies typically demonstrated through devising and sustaining arguments (to both specialist and non-specialist audiences) and solving straightforward problems within Data Science, including using digital technologies, GC2, GC3
  • Can gather and interpret relevant data within Data Science to inform judgements that include some reflection on relevant social, scientific, or ethical issues related to Data Science, GC4, GC5
  • Demonstrate a developing standard of professional behaviour, including effective time management, both independently and as a team member, GC6