• 专业概况
• 所属院系
• 中国学生入学要求
• 课程信息

专业概况

在这里学什么？

UniSA’s Master of Data Science gives you 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 to generate data management strategies. The coursework has been designed with industry including the Institute of Analytics Professionals of Australia and the leader in business analytics software – SAS.

Your career

The field of data science field 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:

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 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. geospatial); creating visualisations from data or GIS data analysis 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 information security analyst: reporting and 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 data engineer: managing data workflows, pipelines, and ETL processes, preparing ‘big data’ infrastructure, working with data scientists and analysts machine learning analysts: building and implementing machine learning models, developing production software through systems in big data production pipeline, working with recommendation systems, developing customer analytics solutions

所属院系

中国学生入学要求

为来自中国的学生设计 At a minimum you must have successfully completed an undergraduate degree, to the required standard, from a recognized higher institution in Australian or the international equivalent and/or the equivalent professional work experience. International English Language Testing System (IELTS) Academic: Overall 6.5 (with 6.0 in Reading and Writing); TOEFL iBT score of 79 with Reading and Writing not less than 18; TOEFL paper-based test (PBT) score of 577 with TWE of 4.5; Cambridge CAE/CPE score of 177; Pearson's test of English (Academic) (PTE) score of 58 with Reading and Writing communicative scores not less than 50; CELUSA score of AE5.

课程信息

学制：须出席的在线/远程学习(2 年)

学费：A$34,800.00 (¥ 171,080) /年

开学时间：2022七月12日

申请截止日期：

留学地点：Mawson Lakes CampusMawson Lakes Blvd,MAWSON LAKES,South Australia,5095, Australia