Transcription
Master ofData Scienceand DecisionsA global career at the forefront of Big Data.
Become theproblem solver.We now live in the Big Data Era. Data is collected everywhere and inimmense detail. Our world contains an unimaginably vast amountof digital information. Extracting meaning from this data can drivebusiness forward, enable next-generation scientific breakthroughsand produce benefits that make a positive difference in our world. Butit is a challenging task which requires strong skills and training.Data Scientists are the people with that expertise, which explains whythey have become key players in today’s job market.Prepare yourself for excellent employment opportunities in this fastgrowing area with UNSW’s Master of Data Science and Decisions.From industries as varied as health, defence, finance, transport andlogistics, to agriculture, media and technology, there is a growingreliance on data science professionals to deliver meaningfulbusiness insights.The UNSW Master of Data Science and Decisions gives you broadexpertise within the data science framework. You’ll consolidate yourskills across three key areas: mathematics and statistics; computerscience; and economics; thus enhancing your value in the workplace.You’ll become the problem-solver who can address businesschallenges across the spectrum of an organisation.This postgraduate degree is taught by leading minds from UNSW'saward-winning School of Mathematics & Statistics in the Facultyof Science, the School of Computer Science in the Faculty ofEngineering and the School of Economics in the Faculty of Business.At our diverse and inclusive campus, you will build valuablerelationships with academics and your student peers.UNSW’s Master of Data Science and Decisions will place you directlyon the path to great employment opportunities and salary potential intomorrow’s workforce.Dr Gery GeneensDirector Postgraduate Studies,School of Mathematics & Statistics2
Tomorrow’s businessis built on data.As the ‘Big Data’ boom rolls on, your skills will be centralYou only have to look at the large number of employmentto a range of roles in information-rich industries includingopportunities for Data Scientists advertised on a daily basisinternet search, fraud detection, targeted advertising,and the generous salary these roles command to see thelogistics planning, speech recognition, image analysis,growing demand in this field. Data Scientist has held the #1genetic risk prediction, virtual reality, customer loyalty,job ranking (US) for the last three years for number of jobproduct development and autonomous vehicles. There areopenings, salary and overall job satisfaction.many more awaiting development in the future!Specialise across three key pillars Statistics Computer Science EconomicsWho is the Master ofData Science & Decisions for?GraduatingSTEM studentsComputer Science, Statistics orBusiness Analytics professionalsIf you've recently graduated with a Bachelor of Mathematics;If you have industry experience in one of these areas,a Bachelor of Science (mathematics, statistics or computerscience major); or a Bachelor of Data Science and Decisions;this degree is a great next step on your professional journey.expand your skills and knowledge to put yourself in awinning position. You'll be a highly valued employee asyou will speak everyone's language and provide effectivecommunication across diverse teams.3
ProgramOutlineElective courses6 Units of Credit each.Database SystemsThis course will teach you data modelling, principles of databasedesign, data manipulation languages and database applicationtechniques. It also includes an introduction to DBMS internalsand advanced databases. In the lab you'll learn the design andimplementation of a database application using SQL andstored procedures.Data VisualisationAn introduction to statistical and visualisation tools for theexploratory analysis of data. You’ll learn what makes an effectivedata visualisation and how to create interactive data visualisations.There will be a strong focus on developing storytelling skills whereyou'll learn to combine data, its visualisation and a narrative tocreate a powerful story to drive change.Fundamentals of Data ScienceMasters level requires96 Units of Credit (UoC)A broad overview of Data Science in the modern world. You'll studythe fundamentals of Data Science as it is applied in Computerfor completion.Science, Economics and Mathematics and Statistics. This courseYou can choose to exitBayesian statistics, statistical software, econometrics, machineat Graduate Certificatewill cover topics such as databases, data analytics, data mining,learning and business forecasting.level (24 UoC) orGraduate Diplomalevel (48 UoC).Business EconomicsAn introduction to economic analysis and policy, in particulardecision-making in business. You'll learn tools to use economicprinciples in decision-making and gain an understanding of thebroader economic environment in which business decisionsare made.Economics of StrategyThis course covers the fundamentals of Game Theory and itsapplications. Game Theory is a revolutionary way of analysingstrategic interactive situations. It is crucial to the understanding ofmarket competition among large firms, the designing of incentivecontracts, bidding at auctions, bargaining, and other similarproblems central to economics and business.Multivariate AnalysisThis course offers a methodological background in MultivariateAnalysis as a backbone of Applied Statistics. It introducesmultivariate techniques including principal component analysis;canonical correlation analysis; cluster analysis; factor analysis anddiscriminant analysis.4
Statistical InferenceThis course presents general interference theory based onmaximum likelihood and Bayes methods. Estimation, confidence setconstruction and hypothesis testing are discussed within a decision-Specialisationstheoretic framework.You will choose from one of thefollowing specialisations.One of the following:Foundations of Computer Science24 UoC eachTopics include an Introduction to set and relation theory;Computational DataScience and DecisionsPropositional logic and boolean algebras; Induction, recursion andSpecialise further inrecurrence relations; Discrete probability; Graph theory; and Trees forcomputational methods toalgorithmic applications.manipulate, understand andOrPrinciples of ProgrammingThis initial programming course provides an introduction toprogramming in Python and covers essentials including Programdesign and implementation in a high-level language; Fundamentalprogramming techniques, data structures and algorithms; andDebugging and testing.One of the following:Machine Learning and Data MiningMachine learning (ML) is the algorithmic approach to learningpredict data.Behavioural Data Scienceand DecisionsSpecialise further in interpreting,understanding and predicting datafor use in business.Business Data Scienceand DecisionsSpecialise further in methods ofinterpreting, understandingand predicting data for usein business.from data. This course provides an introduction to core ideas andtechniques, covering theoretical foundations, algorithms, andpractical methodology. Undertake hands-on experience on applyingML algorithms to real problems and datasets.OrData Mining and its Business ApplicationsQuantitative DataScience and DecisionsSpecialise further in mathematicaland statistical methods tointerpret, understand andpredict data.Increasingly, organisations need to analyse enormous data sets. Inresponse to this, a range of statistical methods and tools have beendeveloped to allow accurate and quick analysis. You'll learn howto choose the right data mining tool for your data. Case studies ofindustry-based data mining projects will provide real-world insightand the most up to date data mining software is used to illustratePrescribed electivesChoose 6 UoC fromother specialisations.the methods.5
What makesus different UNSW School of Mathematics & Statistics #2 in Australia QS 2020 Subject RankingsAwarded the maximum QSFive Star Plus rating in 2019#1 institution attended byAustralian startup foundersStartup Muster 201843rd in the 2020 QSWorld University RankingsMember of the prestigiousGroup of Eight27th in the world foremployer reputation2020 QS Graduate Employability Rankings6
When— Ready to takethe next step?Contact us at futurestudents@unsw.edu.auFrom Term 1,February 2021. 2 years full-time May also be takenpart-timewith Master of Data Science and Decisions in thesubject line.Call us on 1300 864 679.We can make an appointment for you to talk witha course specialist.@unsw@unsw/unswWhere—UNSW Kensington campusunswsydneyCRICOS Provider Code 00098G. UNSW reserves the right to changeany information herein without any prior notice. The information inthis publication is correct at July 2020. The university reserves theright to alter any program or admissions requirements herein withoutany prior notice.7
You'll become the problem-solver who can address business challenges across the spectrum of an organisation. This postgraduate degree is taught by leading minds from UNSW's . An introduction to statistical and visualisation tools for the exploratory analysis of data. You'll learn what makes an effective
