What Exactly Do You Study in Data Science? Exploring Data Science Programs and Career Paths in Australia

What exactly is Data Science, which has become highly popular in recent years? The core aim of Data Science is to extract valuable insights from large datasets and present them in an understandable format. Australian universities offer Data Science courses covering specialized knowledge such as statistics, programming, database management, and machine learning. As a result, graduates with a Data Science degree have a wide range of career opportunities across fields like technology, business, and healthcare. Below, we’ll delve into the course content of Data Science programs in Australia and explore common career paths after graduation.

Source: Shutterstock

So, what exactly do you study in Data Science?Data scientists are required to have excellent communication skills and domain-specific knowledge, such as business strategy and economics. Most importantly, they need to be proficient in programming languages like Python, R, or SQL to efficiently integrate and analyse vast and unstructured datasets, presenting the results in an easily comprehensible format (e.g., charts). Therefore, Data Science courses typically include the following core categories [1]: 

Foundational Mathematics, Statistics, and Probability: 

The curriculum focuses on understanding data, formulating hypotheses, testing, and making predictions. Core topics usually include linear algebra, data statistics, and probability distributions. 

Programming and Software Development: 

Studying Data Science involves learning to code and develop software, as well as mastering common programming languages like Python, R, or SQL for data organisation, analysis, and management. Related courses cover fundamental programming principles and hands-on projects to help students develop the skills to tackle complex data challenges. 

Database Management:  

Data scientists must have a deep understanding of database management systems, including handling structured and unstructured data and mastering database sorting principles and common commands. These skills enable students to develop expertise in data access and processing. 

Machine Learning and Artificial Intelligence: 

Machine learning is one of the core components of Data Science programs. Students learn to apply algorithms that enable computers to learn and improve from data. Topics include supervised learning, unsupervised learning, deep learning, and their applications in areas like image processing and natural language processing. 

Data Visualisation:  

Data visualisation is a critical skill for presenting analytical results intuitively. Students will learn how to use visual elements like charts, graphs, and maps to illustrate data trends and patterns. Commonly used tools in these courses include Tableau, Power BI, and Matplotlib. 

Domain-Specific Knowledge: 

Data Science is widely applied across industries, so understanding domain-specific knowledge is essential for designing effective solutions. Examples include business strategy and market behaviour analysis, financial risk assessment, or healthcare data analysis.

Source: iStock

Data Science degrees in Australia are available at both undergraduate and postgraduate levels. A bachelor’s degree typically takes four years to complete, while a master’s degree requires two years [2]. Undergraduate students in Australia will study the fundamental theories and techniques of data science, while master’s programs place greater emphasis on application and research. For students with more specific career goals, it’s essential to review course overviews and program structures to ensure they align with their interests and professional direction. Examples include programs such as "Data Science and Artificial Intelligence," "Data Science and Business Analytics," or "Data Science and Decision-Making." 

1. The University of Melbourne 

2. Monash University 

3. University of Technology Sydney 

4. The University of Sydney 

5. Macquarie University, Sydney 

6. Australian National University (ANU) 

7. The University of New South Wales (UNSW Sydney) 

In today’s era of big data, companies increasingly rely on data, leading to a growing demand for professionals such as data scientists. Studying Data Science equips students with core skills in programming languages, mathematics, and statistics, along with practical abilities in data analysis, problem-solving, and communication. These competencies open up broad career prospects across various industries, including retail, finance, healthcare, and technology. Data Science roles often involve helping businesses extract valuable insights, optimise processes, and develop data-driven products. Essentially, graduates are well-prepared for any data-related position.

Source: iStock

If you’re considering studying a Data Science-related program, Australian universities offer a wide range of course options tailored to different interests and professional goals. Furthermore, most Australian universities with Data Science programs are recognised both locally and internationally, ensuring broad career prospects for graduates. For more detailed information about studying Data Science, feel free to contact us for personalised advice and recommendations.

References: 

1. Simplilearn - Data Science Course Syllabus and Subjects 

https://www.simplilearn.com/data-science-course-syllabus-subjects-article 

2. RMIT University - Why study data science in Australia? 

https://www.rmit.edu.au/study-with-us/international-students/study/data-science-in-australia 

https://dil.umbc.edu/jobs-you-can-do-with-a-master/ 

3. QS World University Rankings by Subject 2024: Data Science and Artificial Intelligence 

https://www.topuniversities.com/university-subject-rankings/data-science-artificial-intelligence?items_per_page=50&tab=indicators&region=Oceania&countries=au&sort_by=rank&order_by=asc