Graduate Certificate of Data Science
Swinburne University of Technology
About
The Graduate Certificate of Data Science is designed to prepare students to work in a variety of roles in data-driven decision-making.
Build on your existing undergraduate qualification and/or industry experience as you develop skills related to managing, interpreting, visualising and deriving knowledge from small to medium-sized data sets.
In this course, you’ll expand your knowledge of computer science, data analytics and visualisation, and gain an understanding of the challenges of the data management lifecycle.
You’ll also complete a project-based learning unit designed to introduce industry-relevant tools and techniques.
Structure
- 8 x core academic units (100 credit points)
Units of study
Complete eight units (100 credit points):
STA60005 Statistical Practice 2 COS60006 Introduction to Programming COS60009 Data Management for the Big Data Age COS60008 Introduction to Data Science DDD60001 Inclusive and Participatory Design STA70002 Multivariate Statistics COS80025 Data Visualisation COS80024 Data Science Project 1Entry requirements
- a Bachelor degree in a STEM (Science, Technology, Engineering or Mathematics) discipline or
- a Bachelor degree in Statistics or Computer Science or
- a non-STEM Bachelor degree and 3 years industry experience in the data analytics, database, software development or related fields or
- 5 years industry experience in the data analytics, database, software development or related fields.
Learning outcomes
- Demonstrate a coherent understanding of the concepts and practices within the field of Data Science
- Analyse selected Data Science scenarios, develop a solution, and reflect on the appropriateness of the developed solution
- Exercise critical thinking and judgment by completing projects with industry relevance
- Communicate information proficiently to technical and non-technical audiences
- Take responsibility for their own learning, and manage their own time and processes effectively, both individually and as an effective member of diverse teams.
- capable in their chosen professional, vocational or study areas
- entrepreneurial in contributing to innovation and development within their business, workplace or community
- effective and ethical in work and community situations
- adaptable and able to manage change and
- aware of local and international environments in which they will be contributing.
Institution