拉籌伯大學(xué)的數(shù)據(jù)科學(xué)碩士與很多工業(yè)及科研人員都有合作關(guān)系，學(xué)生可以選擇生物信息學(xué)、大數(shù)據(jù)、云計(jì)算、分析科學(xué)作為主修專(zhuān)業(yè)，也可以選擇商業(yè)分析作為輔修學(xué)習(xí)來(lái)拓展商業(yè)技能。
You'll learn:
Study advanced subjects in computer science, mathematics and statistics, then choose one of:
Big data and cloud computing 大數(shù)據(jù)與云計(jì)算
Work at the forefront of the Big Data and cloud industries by using your scientific data findings to help organisations plan strategically. 該專(zhuān)業(yè)的學(xué)生可以在大數(shù)據(jù)和云行業(yè)的前沿工作，利用科學(xué)數(shù)據(jù)發(fā)現(xiàn)幫助組織制定戰(zhàn)略計(jì)劃。
Big Data and cloud computing are ever-evolving fields, so the demand for specialists is only set to increase. 大數(shù)據(jù)和云計(jì)算是不斷發(fā)展的領(lǐng)域，因此以后對(duì)這個(gè)方向?qū)＜业男枨髸?huì)持續(xù)增加。
Analytical science 分析科學(xué)
Develop a high level of proficiency in data-analysis, modern statistical software, meta-analysis, analysis of repeated measures data and models for bioinformatics. 開(kāi)發(fā)高水平的數(shù)據(jù)分析、現(xiàn)代統(tǒng)計(jì)軟件、元分析、重復(fù)測(cè)量數(shù)據(jù)分析和生物信息學(xué)模型。
Choose elective subjects such as advanced statistics, health sciences and business and computing technologies. 選擇選修科目，如高級(jí)統(tǒng)計(jì)、健康科學(xué)、商業(yè)和計(jì)算技術(shù)。
Bioinformatics 生物信息學(xué)
Learn about the collection, classification, storage and analysis of biological and biochemical information using computers – specifically in relation to molecular genetics and genomics. 使用計(jì)算機(jī)了解生物和生化信息的收集、分類(lèi)、存儲(chǔ)和分析，特別是與分子遺傳學(xué)和基因組學(xué)相關(guān)的信息。
接下來(lái)看看課程的簡(jiǎn)介及入學(xué)要求吧
專(zhuān)業(yè)：Master of Data Science
課程長(zhǎng)度：2 years full-time
開(kāi)學(xué)時(shí)間：3/7月
學(xué)費(fèi)： $ 35,400
入學(xué)要求： An Australian Bachelor's degree or international equivalent.
語(yǔ)言: IELTS 總分6.5，各項(xiàng)不低于6.0
Key features 項(xiàng)目的主要特色：
Work placement opportunities with leading organisations have included the Australian Institute of Sport, Telstra and the Peter MacCallum Cancer Centre. 有機(jī)會(huì)在澳大利亞體育學(xué)院， Telstra 和彼得·麥卡勒姆癌癥中心等大企業(yè)實(shí)習(xí)。
Small class sizes and highly qualified teaching staff provide an intimate learning experience. 小班授課制。
Data science is a highly-employable field with a global demand. As a graduate, you can expect to find work as a: Data scientist, Bioinformatician, Machine-learning engineer, Business intelligence analyst, Statistician.
數(shù)據(jù)科學(xué)在全球范圍內(nèi)都是一個(gè)比較好就業(yè)的專(zhuān)業(yè)，畢業(yè)以后可以做數(shù)據(jù)科學(xué)家，生物信息家，機(jī)器學(xué)習(xí)工程師，商業(yè)智能分析師以及統(tǒng)計(jì)學(xué)家。
Facts and figures
Working in Australia, the average pay for a senior data analyst is A$93 000 per year.
資深的數(shù)據(jù)分析師在澳大利亞的年收入可以達(dá)到93000澳幣每年。
那么，我們來(lái)看看這個(gè)課程設(shè)置吧！
核心課程90個(gè)學(xué)分
可以選 Big data and cloud computing 大數(shù)據(jù)與云計(jì)算 150個(gè)學(xué)分或者
Analytical science 分析科學(xué) 150個(gè)學(xué)分或者
Bioinformatics 生物信息學(xué) 150個(gè)學(xué)分
Core subjects (90 credit points)
Academic Integrity Module (online)*
Database Fundamentals 數(shù)據(jù)庫(kù)基礎(chǔ)
Object-Oriented Programming Fundamentals 面向?qū)ο蟮木幊袒驹?/span>
Mathematics for Data Science 數(shù)據(jù)科學(xué)的數(shù)學(xué)
Probability and Statistics for Data Science 數(shù)據(jù)科學(xué)的概率和統(tǒng)計(jì)
Big Data Management of the Cloud 云的大數(shù)據(jù)管理
Data Exploration and Visualisation 數(shù)據(jù)探索和可視化
我是魔力教育Jenny老師，我是留學(xué)信息小靈通，我跟千千萬(wàn)萬(wàn)留學(xué)生統(tǒng)一戰(zhàn)線，我熱衷于分享留學(xué)信息，有其他進(jìn)一步問(wèn)題可微信Jenny老師：13825200487.
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