Master of Professional Studies Data Science Digital Security

Master of Professional Studies Data Science & Digital Security

NZ: A Sweet-spot for Life-Work Balance • You’re never far from ski fields, fiords, beaches, surfing, world class hiking and whale watching • Adventure sport paradise • Home of Lord of the Rings • A relaxed lifestyle and slower pace of life • New Zealand is hassle free, with a ‘can do’ attitude

Multiple Choice Quiz 1. If you don’t attend lectures, a) you are guaranteed to graduate, if you pay your tuition fees b) you’ll probably graduate, if you did well as an undergraduate c) the people you meet while on holiday in NZ will be even more valuable for your professional network than your classmates d) you’ll be at severe academic risk e) none of the above 3

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Our reputation depends on you! 2. Will you a) work constructively with us (through your lecturers, or through the class-representative system) to identify and then address problems in your programme b) be proud of what you have learned to do, while being realistic about your (and our!) limitations c) be supportive of the other professionals in your network d) stay in touch with us after you graduate e) all of the above 6

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Data Science • Addresses global shortage of data scientists with skills in computer science, statistics, and business • Learn how to turn data into value from the inventors of R (statistical language) • IEEE ranks R 5 th among programming languages* • Careers: Data scientist, analyst, developer, statistician, manager www. science. auckland. ac. nz/data-science * http: //spectrum. ieee. org/computing/software/the-2016 -top-programming-languages

Motivation? 2. Which of the following most accurately describes you? a) I want a high-paying job in a currently-hot industry sector and that motivates me to study hard b) I enjoy statistical analysis on large datasets and that motivates me to study hard c) I am passionate about making the world a better place through data science and that motivates me to study hard d) I enrolled in this programme because I couldn’t think of anything better to do and that motivates me to study hard e) none of the above 9

Application? 2. Which of the following could not be improved by a data scientist? a) the profitability of a corporation b) the popularity of a politician c) the quality and cost-effectiveness of a public health system d) the health of an ecosystem e) all of the above 10

Data Science = CS+STATS+Domain • At least 2 courses from (Computer Science) • COMPSCI 751, 752, 753, 760 • At least 2 courses from (Statistics) • STATS 762, 769, 782, 784 • At most 2 courses from (The `Domain’) • The courses above, or many others in Computer Science, Statistics, Operations Management, Information Systems, and Business • COMPSCI 791 (The Dissertation) www. science. auckland. ac. nz/data-science

Data Science – COMPSCI Courses • COMPSCI 751: Advanced Database Systems • Fundamentals of relational databases • A report covering state-of-the-art on some advanced database topic • COMPSCI 752: Web data management • Principals for data exchange & integration, large-scale Web apps • A report covering state-of-the-art on some big data topic • COMPSCI 753: Uncertainty in data • Management of uncertain information in database systems • A report or project on data management of uncertain information • COMPSCI 760: Data mining and machine learning • Advanced topics on machine learning, search algorithms, heuristics, and planning www. science. auckland. ac. nz/data-science

Data Science – STATS Courses • STATS 762: Statistical modelling • Applying advanced models to fit data from wide range of source, such as multiple linear, log-linear, logistic regression • The graphical exploration of data • STATS 769: Data science practice • Wrangling and computing with large data sets • Survey of supervised and unsupervised learning using R • STATS 782: Statistical computing • Skills to develop professional software for statistical data analysis • From the use of software tools to creating R extension packages • STATS 784: Data mining • Selected topics from classification problems, regression and decision trees, neural networks, fraud detection, and data cleaning www. science. auckland. ac. nz/data-science

Data Science – Popular Electives • INFOSYS 722: Data mining and big data • Analyse, design, and build an information system using emerging tools and technologies, such as big data and business data analytics, for an identified business problem • ENGSCI 761: Integer and multi-objective optimisation • Algorithms for integer programming including branching, bounding, cutting and pricing strategies • STATS 707: Computational introduction to Statistics • Advanced introduction to statistics and data analysis, including testing, estimation, and linear regression • Compulsory for those without knowledge about STATS 20 x and 210 www. science. auckland. ac. nz/data-science

Data Science – Dissertation • COMPSCI 791 – 30 points course within one semester • COMPSCI 791 A and B – two 15 points courses in consecutive semesters • Deliverable is a research report on a data science topic, formally supervised by an academic from computer science and/or statistics • Expectations on research report equivalent to those of Honour’s thesis • Can be done jointly with an industry partner, which usually provides a mentor and guidance throughout the project; important to quantify the (potential) value of the project to the business • Some opportunities arise with established partners throughout the year, but self-initiative can also lead to projects with industry www. science. auckland. ac. nz/data-science

Examples of Dissertation • Casey Cahan: Predictive Modelling in Professional Rugby Union, project for Mindfull NZ • Arun Gopalan: Indoor Location Analytics and Behavioural Analytics, project for Dexibit • Venu Vrindaran, Business Register Extended Coverage Text Mining and Classification, project for Statistics NZ • Eric Jin, Applying Big Data Technology on a Mobile Data Set, project for Datamine Ltd. • Hardi Saputra, Reducing Risky Driving Behaviors by Software Tools in Organisational Fleet Management Practices, project for EROAD www. science. auckland. ac. nz/data-science

Employability • Global employability university ranking 2015/2016 • The University of Auckland ranks No 140 worldwide • No 1 in New Zealand • No 6 in Australia and New Zealand • Winner for Best Careers Service at the NZAGE Industry Awards in 2015

First Job of our Graduates • Pieta Brown as `Head of Data’ at Lab 360, Loyalty NZ • Casey Cahan as `Biometric Modelling Analyst’ at the Ministry of Business, Innovation, and Employment • Robert Anderson as `Statistical Data Analyst’ at Datamine Ltd • Arun Gopalan as `Data Scientist’ at Dexibit NZ • Alistair Evans as `Senior Data Scientist’ at Qrious

Digital Security • Addresses the global shortage of security specialists who know how to design, implement and manage a secure IT infrastructure • Learn how to protect an organization’s assets by taking courses at the University of Auckland in computer science, information management, and software engineering • Careers: Information security officer, security analyst, network engineer www. science. auckland. ac. nz/digital-security

Digital Security – Overall Structure • • COMPSCI 725 COMPSCI 726 COMPSCI 727 INFOSYS 727 • 2 courses from • COMPSCI 702, 705, 720, 732, 747 • INFOSYS 720, 726, 730, 737, 750, 751 • COMPSCI 791 (The Dissertation) www. science. auckland. ac. nz/digital-security

Digital Security – Core Courses • COMPSCI 725: System security • Data and system security, dynamic security • Governance, control, security techniques • COMPSCI 726: Network defense and countermeasures • Use and deployment of protective systems for networks • Standards in network security and examination of tools • COMPSCI 727: Cryptographic management • Cryptography for secure communication and data storage • Management and best practices for use and deployment • INFOSYS 727: Advanced information security • Basic information security concepts • Developmental, managerial, audit issues of info security www. science. auckland. ac. nz/digital-security

Alaa Shublaq – Digital Security Graduate “New technologies and IT trends such as the cloud and the internet bring their advantages, but they also create more risks and security challenges which increases the demand for IT security specialists. I’m studying the fundamental security skills needed in the design, planning, and management of IT solutions to enable me to build upon these skills during my professional career. ” www. science. auckland. ac. nz/digital-security

“There are many paths, but the only one that leads to the top of the mountain, is the one you make yourself. ” ancient Chinese saying