Bachelor of Mathematics (Data Science)

Entry Requirements

ENGLISH LANGUAGE REQUIREMENTS

IELTS total [6.0]

IELTS reading [6.0]

IELTS writing [6.0]

Career Outcomes

our career

The growth and diversity of data available is allowing companies to integrate analytics into their daily operations, triggering the development of analytics roles in a broad range of sectors, and subsequently increasing demand for people with data science skills1. Graduates can consider the following careers:

data scientist: understanding interfaces, data migrations, big data and databases; taking the lead in processing raw data and determining the best types of analysis; mining large volumes of data to understand user behaviours and interactions; communicating data findings to IT leadership and business leaders to promote innovation

big data researcher: extracting data from relational databases; manipulating and exploring data using quantitative, statistical and visualisation tools; selecting appropriate modelling techniques so predictive models are developed using rigorous statistical processes; maintaining effective processes for validating and updating predictive models

big data visualiser: using visualisation software to analyse data, drawing implications and communicating findings; providing input on database requirements for reporting/analytics; acquiring, managing and documenting data (e.g. geo-spatial); creating visualisations from data or GIS data analysis

data miner: collecting data from numerous databases; helping businesses to make decisions about how data should be analysed in areas such as expenses, profitability, and for other important business decisions