数学学士-数据科学

全球数据科学家的需求不断增长1。越来越多的组织寻求分析和解释大量数据，并确保以智能，有价值的方式使用它们。该学位的目的是培养准备工作的毕业生，以满足该行业的需求，并填补市场上日益增长的工作机会。成功的数据科学家会利用一系列互补学科的技能，因此该学位提供了数学，信息技术和数据科学的平衡组合。在您的最后一年中，您将完成一个基于行业的项目，以体验现实中的挑战并获得工作场所的经验。
Maths degrees at UniSA share a common first year. Therefore at the end of first year, you can change to the Industrial and Applied Mathematics specialisation if you wish, and retain credits for the courses youve already done.Our world-class facilities at Mawson Lakes campus offer an inspiring learning environment such as the multi-million dollar Materials and Minerals Science Learning and Research Hub. Our students also benefit from UniSA's lead role in the 88 million Data to Decisions Cooperative Research Centre.Our degrees emphasise the development of critical thinking, creativity and hands-on learning to produce graduates who are in high demand.Prepare for your career as a data scientist and enter a thriving field where skilled professionals are in high demand.Complete an industry-based major project in your final year.Data scientists are in increasing demand globally1. More and more organisations seek to analyse and interpret vast amounts of data and make sure it is used in intelligent, valuable ways.This degree is designed to produce job-ready graduates to meet this industry need, and to fill the growing range of work opportunities in the market. Successful maths and data scientists draw on skills from a range of complementary disciplines, so this degree offers a balanced mix of mathematics, information technology and data science. In your final year youll complete an industry-based project to experience real-world challenges and gain workplace experience.<br><br>In first year youll study core subjects in maths and IT. You will focus on building your mathematical and programming skills with courses that include calculus, statistical methods, fundamentals of programming, and databases.You will then move into your applied data science studies. Youll study cross-disciplinary areas such as web development, data structures and mathematical communication, and mathematical modelling.In third year youll combine study and hands-on experience with courses in programming and networking, project management, and analytics. You will also complete an ICT industry-based project to strengthen your abilities in research, analysis, and interpretation of data.<br><br>Career outcomes - :<br><br>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<br>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<br>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<br>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