Overview Overview The Data Science Dissertation Major consolidates data science and predictive analytics skills through core machine learning and project units along with a range of optional units. Available options extend knowledge in artificial intelligence, statistics, networking and internet of things, cloud computing, security and/or industrial automation. Graduates may find employment in data analytics across a wide range of fields, particularly as an enhancement to their current academic qualifications and experience.
What you'll learn - Apply advanced computing and machine learning algorithms and statistical theory in the exploration, analysis and presentation of data
- Provide innovative and creative solutions utilising data science knowledge and analytical methods for academia, government and industry
- Communicate the implementation and outcomes of data collection, processing and presentation to academic, expert and non-technical audiences
- Apply data science to address industry, society and global problems
- Develop solutions and analyses that respect confidentiality, ethics, sustainability and maintain social responsibility; endeavour to comply with standards and guidelines relevant to data science and to the applications domain
- Demonstrate initiative and leadership when working independently and collaboratively using problem solving and decision-making skill