数据科学研究生文凭

进入对数据科学家有强烈需求的大数据革命性领域。全球每天都会产生大量数据。理解它的需要已经引起了“大数据”的革命性领域，并催生了“数据科学家”的新职业。数据科学家从看似​​混乱的局面中发现了模式，意义和价值。该研究生文凭是作为三个计划（研究生证书，研究生文凭和硕士）的一部分提供的。每个资格证书延伸到下一个，因此您可以轻松地过渡到硕士级别的资格证书。如果您决定在完成前四门课程后退出该资格，您将获得数据科学研究生证书。如果您完成了该研究生文凭并想继续学习，请考虑继续攻读数据科学硕士。
With UniSA's Graduate Diploma in Data Science youll develop current knowledge of data science techniques and research. It caters for students with a mathematics or an IT background, with courses tailored for both. You will learn to analyse and visualise rich data sources, how to spot data trends, and how to generate data management strategies.Learn to analyse and visualise rich data sources, how to spot data trends, and to generate data management strategies.There is an acute shortage of data scientists, with a McKinsey Global Institute report projecting a 50 per cent gap between projected demand and supply by 2018. Demand for professionals with strong data management and analytic skills is expected to grow. Taught by leading researchers you will learn to analyse and visualise rich data sources, how to spot data trends and to generate data management strategies.This graduate diploma is offered as part of a suite of three programs (graduate certificate, graduate diploma and master). Each qualification extends to the next, so you can easily transition to a master level qualification. If you decide to exit this qualification having completed the first four courses you will receive the Graduate Certificate in Data Science. If you finish this graduate diploma and want to do further study, consider going on to the Master of Data Science.<br><br>Career outcomes - : The field of data science is evolving at a rapid rate. It will continue to grow as savvy business leaders integrate analytics into every facet of their organisation. Analytics, science, data, and reasoning are becoming embedded into decision-making processes, every day and everywhere in the business world1. Careers to consider:<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> business data analyst: working with stakeholders, analysts and senior management to understand business strategy and the questions that need to be asked, identifying research needs, designing experiments and making recommendations based on results, driving complex analytics projects to support the business<br> information security analyst: reporting and producing recommendations to prevent security incidents, security control monitoring, implementing new security technology, methods and techniques, championing security best practice, reviewing systems for security risks and compliance issues