Master in Data Science, University of Canberra

The course offers a unique combination of interdisciplinary coursework, industry-based training, and research methodology to equip students with in-demand skills in data analysis, modelling, and communication. With a focus on real-world issues and industry networks, students gain practical experience using state-of-the-art tools. The course's emphasis on work-integrated learning ensures that students can apply their knowledge directly within industry environments. Graduates are well-positioned to find employment as data scientists, analysts, engineers, and more, in a landscape where digital data is exponentially expanding. Additionally, the program offers specialisations that cater to niche areas such as Sports Analytics, Business Intelligence, and AI & Modelling.

Students can choose a specialisation in Sports Analytics, Business Intelligence, or Artificial Intelligence & Computational Modelling. Each specialisation requires passing specific units to earn the distinction on the testamur. The Sports Analytics stream includes units like Sport Informatics and Performance Analysis, while Business Intelligence covers Econometrics, Business Intelligence Systems, and Database Systems. The AI & Computational Modelling pathway includes units such as Artificial Intelligence Techniques, Soft Computing, and Computer Vision. Students can also opt for no specialisation and select units based on their interests.

To complete the Master of Data Science, students must earn 48 credit points, including 33 credit points from core units like Statistics, Data Science methodology, programming, and project work. They also need to select 15 credit points from restricted choices, which include specialisation units if applicable, or units from other categories such as Sport Analytics, Business Intelligence, or AI & Modelling. The program requires a total of 48 credit points to graduate, with various units at undergraduate and postgraduate levels, including research and industry-focused projects.

Graduates of the Master of Data Science can expect high demand across many sectors because of the increasing amount of digital data produced daily. Typical roles include data scientist, data engineer, data analyst, business analyst, statistician, and software developer. Additional opportunities exist in data warehousing, network analysis, and consultancy roles. The industry-recognized qualification and practical training make graduates highly sought after in the job market, opening pathways in diverse fields globally, ranging from healthcare and sports to government and scientific research.