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Contents 02 Dean’s message UTS at a glance 03 Meet the course director 46,159 students 04 Why study the MDSI at UTS? 15,450 international students 33,752 undergraduate students 06 Student testimonials 10,208 postgraduate coursework 08 Course information 2199 higher degree research students 4174 staff 10 Essential information UTS student diversity 11 Industry connections 49% female students 12 Career options 51% male students 13 How to apply 29% are 25 or older 49% also speak a language other than English Please note the above numbers are approximate as of January 2020. 1 Connect with us UTS ranked Australia’s UTS.transdisciplinary NO. #1 young* uni UTS_FTDI *QS Top 50 Under 50 2020 utstransdisciplinaryinnovation 5 Acknowledgement of Country star rated for excellence UTS acknowledges the Gadigal People of the Eora Nation and the Boorooberongal People of the Dharug Nation upon whose ancestral lands our campuses UTS has been awarded 5 stars in all 7 categories by stand. We would also like to pay respect to the Elders QS World University Rankings both past and present, acknowledging them as the traditional custodians of knowledge for these Lands.
Postgraduate Course Guide Dean’s message As the challenges before us become even more complex, dynamic and networked, people with the capability to conceive of jobs that do not yet exist and to work with and across disciplines become highly prized as agents to envision and enact change. By studying a transdisciplinary course at UTS, you will build expertise that draws on diverse perspectives and knowledge to solve complex problems. Our vision is to advance learning beyond the traditions of the disciplines, push boundaries and explore how we work in terms of transdisciplinarity to create new solutions for a future world. We offer a unique style of learning providing the opportunity to engage in collaborative learning across disciplines, work on real briefs from our industry partners and to connect with local, national and global startup cultures. Professor Louise McWhinnie The Master of Data Science and Innovation (MDSI) will ensure that Dean, Transdisciplinary Innovation you gain the adaptability, resilience and creative thinking skills that are required to thrive in the future economy. You’ll gain hands- on experience with data and analytics tools; reflect deeply on the very human issues these can raise, learn how to influence decision making with evidence and become better equipped to lead a data science team. “Gain the adaptability, resilience and creative thinking skills that are required to thrive.” 2
Master of Data Science and Innovation Meet the course director “The Master of Data Science and Innovation is the first course of its kind where data science is integrated with creativity and innovation” Meeting the challenges of the ‘data explosion’ requires organisations to find new ways to work with and think about data. Companies are increasingly looking for people who can make sense of data flows and then clearly translate this information to help feed innovation. However manipulating and interpreting data not only requires good technical ability, but also a strong creative element and a clear understanding of business goals. The Master of Data Science and Innovation (MDSI) is paving the way for the future of data science degrees. It is the first of its kind to offer coursework that integrates creativity and innovation, delivered through a blended mode of face-to-face and online learning. Students in the course learn how to connect data to business challenges by getting hands-on experience working in teams to Associate Professor Tony Huang solve real-life data science problems. They develop the skills to Course Director, Master of Data Science visualise and communicate business outcomes and generate and Innovation creative data-driven solutions to help influence key decision makers. And working closely with fellow students, they tap into an invaluable community of data science expertise from across a myriad of sectors and experiences. 3
Postgraduate Course Guide Why study the MDSI at UTS? WE’RE ONE OF A KIND REAL WORLD WORK FOR REAL TRANSDISCIPLINARY FOCUS The Master of Data Science and Innovation WORLD GAIN The MDSI course provides flexibility (MDSI) is a groundbreaking program You’ll have the opportunity to explore to shape your own data science path. of study. This unique transdisciplinary real-world projects and actual data The design of the course structure program is the first of its kind in Australia sets with coursework and iLab projects. provides students with the opportunity where creativity and innovation are integral During the course you will solve real to select elective subjects from different components. You’ll develop specialist skills client problems provided by industry and disciplines across UTS, allowing you to to source, frame, analyse, visualise and program partners or design your own data pursue your own particular interests and communicate business outcomes and project. By the time you graduate, you career aspirations. generate creative data-driven solutions. will have a portfolio of challenging and professional project experiences to share DON’T JUST THINK. CREATE. with potential employers. This comprehensive course challenges students to gain essential knowledge in: THE COLLABORATION GENERATION Data science is a collaborative discipline. – Core technical data science skills such During the course you will collaborate and as statistics, programming, machine build a community with students who have learning and visualisation a wide range of skills and backgrounds. – Creative thinking skills such as dealing Many of our alumni are now working at with ambiguity, problem formulation companies like Google, Commonwealth and future possibility states Bank, Atlassian and the Reserve Bank – Effective communication and of Australia and continue to be active collaboration skills members of this community. Students – Considering ethical concerns and have found the opportunity to connect with human-centred perspectives in the this network of expertise one of the many analysis and use of complex data valuable aspects of the program. – Skills to adapt and stay current in a rapidly evolving field. With an emphasis on critical self-learning, we prepare our students to be lifelong learners. This one of a kind program helps you develop specialist skills to analyse, visualise and communicate business outcomes and generate creative data-driven solutions. 4
Postgraduate Course Guide Student testimonials Alex Scriven MDSI graduate, 2018 Data scientist, NSW Government “For me, the MDSI program’s innovative teaching practices, tight-knit community and industry connections made it a clear choice for me and, looking back, a life changing experience. Yogitha Mariyappa Each course has been built from the International MDSI graduate, 2018 ground-up to provide the latest content Data scientist, Commonwealth Bank in blended online and offline modes, at of Australia convenient times for postgraduate students and all whilst focusing on “What sets the MDSI apart from other real-world, project-based assignments. Master’s degree programs is its Within assignments and the built-in transdisciplinary, practice-based internship programs you are constantly approach to learning. There’s a large using and developing your knowledge in practical component to the program to the real world. Throughout my time in the ensure that students come out of their course I worked on real-world machine shells and develop crucial communication learning and analytics projects for a variety skills, collaborating with peers in the of organisations including Transport for community. The iLabs that are part of NSW, Rio Tinto, The Iconic and many others. the MDSI program are also a fantastic opportunity for students to work with live From the MDSI program, I started my own data and solve real-world problems. Machine Learning and AI consultancy (Madlytics) with a fellow MDSI peer. Being Within a month of finishing the degree’s so industry-focused throughout the coursework, I had 3 job offers from program has allowed me to gain the skills government, consulting and banking needed to bridge the gap between deeply areas – and I hadn’t even started job complex technologies and business hunting properly! MDSI helped me prepare stakeholders. It has been a roller-coaster well enough that, when opportunity ride so far but I am excited for what the presented itself, I was able to make the future holds!” most of it. I was at the right place at the right time with the right skills.” 6
Master of Data Science and Innovation "Within a month of finishing the degree’s coursework, I had 3 job offers from government, consulting and banking areas – and I hadn’t even started job hunting properly." YOGITHA MARIYAPPA Kelly Tall MDSI Graduate, 2018 Data visualisation designer “The MDSI had a good mixture of practical and critical engagement with the subject William de Azevedo matter. I loved that I was allowed to MDSI Graduate, 2018 stretch my electives into the design and Data analyst, NSW Government’s communications faculties. Data Analytics Centre (DAC) In my role as a data visualisation designer “The MDSI has a strong focus on the in a large financial institution, I combine technical aspects of data science. However, data understanding, with design and on the other hand, students are free communication to bring clarity and to choose the elective subjects that fit understanding for various internal best with their professional objectives. audiences. Concepts that I learnt via the Therefore, the MDSI program is dynamic MDSI have helped me work with internal and ready to attend to the varied demands stakeholders to bring clarity to some of the industry. ambiguous problem spaces. It has taught me to think critically about the data Also, the MDSI always challenges students we work with, and not just take it as an to try new approaches and techniques like objective source of truth.” blogs, podcasts, videos and hackathons. Hackathons (which are events in which students collaborate to develop a solution for an organisation) helped me to get the experience I needed to start working as a data scientist. These approaches are more interesting than the traditional duo ‘report and presentation’. The bottom line is that starting a new career is always challenging, but the MDSI has really tested our abilities and prepared us to take on these challenges.” 7
Postgraduate Course Guide Course information COURSE STRUCTURE Master of Data Science Master of Data Science and Innovation and Innovation 96CP = 44CP + 32CP + 20CP Core Option Elective Course Code: C04372 CRICOS Code: 084268K Duration: 2 years full time 4 years part time The following example shows a typical Location: City campus full-time program. Course structure: Year 1 Student must complete 96 credit points (CP), comprising Machine learning 44CP core subjects, 32CP specified data science related Data Science for Data Science Autumn Algorithms and optional subjects and 20CP elective subjects. Elective Innovation (8cp) Elective 1** Applications(8cp) subjects can be selected from data science related subjects Statistical and from across the University’s disciplines. Data Science Data Science Spring Thinking for Data Option 1* Option 2* Enrolment in subjects from other disciplines is dependent Science (8cp) on approval from the course director and subject Year 2 coordinator, and usually requires demonstrated ability to meet prerequisites. Data Data Science Data Science Autumn Visualisation and Option 3* Elective 2** This flexible course structure enables students to pursue Narratives (8cp) their own particular interests and career aspirations. Data Science Data Science Spring iLab 2 (12cp) Option 4* Elective 3** 8
Master of Data Science and Innovation Data Science Options (select 32cp)* – Database 6cp – Big Data Engineering 8cp – Data Science Internship A 6cp – Data Science Internship A 6cp – Data Science Internship B 6cp – Data Science Internship B 6cp – Data Science Internship C 8cp – Data Science Internship C 8cp – Data Science Practice 8cp – Data Science Practice 8cp – Deep Learning 8cp – Data and Decision Making 8cp – Design and Analysis of Experiments 6cp – Deep Learning 8cp – Fundamentals of Data Analytics 6cp – Leading Data Science Initiatives 8cp – Leading Data Science Initiatives 8cp – iLab 1 12cp – Multivariate Data Analysis 6cp Data Science Electives (select 20cp)** – Optimisation in Quantitative Management 6cp – Project Management Principles 6cp – Advanced Bayesian Methods 6cp – Regression Analysis 6cp – Advanced Data Analytics Algorithms 6cp – Social and Information Network Analysis 6cp – Advanced Database 6cp – Special Subject 1 (FTDI) 2cp – Advanced Data Science for Innovation 4cp – Understanding Data and Statistical Design 6cp – Advanced Statistical Modelling 6cp – UNIX Systems Programming 6cp – Applied Data Science for Innovation 4cp – iLab 1 12cp – Big Data Engineering 8cp – + any postgraduate level subjects from across the – Cloud Computing and Software as a Service 6cp University’s disciplines (up to maximum of 12cp) – Data and Decision Making 8cp lease note the elective subject list is reviewed every year and is P subject to change according to student demand. 9
Postgraduate Course Guide Essential information IN YOUR OWN TIME TEACHING STYLE FEES Designed to accommodate working The MDSI is delivered via a blended You can find out more about what your professionals, the MDSI can be as flexible learning mode, integrating the best of degree will cost at uts.edu.au/tuition- as you make it. You can choose how fast online and face-to-face experiences. fee-calculator you go through the degree based on the Classes are held on campus, where If you do have to pay a fee and you’re number of subjects you wish to take on in students get the opportunity to a local student, you may be eligible for any given semester. network and learn the latest methods FEE-HELP, an Australian Government loan and insights from academics and CLASS SCHEDULE scheme. Using FEE-HELP means you don’t industry experts. Students also Classes are usually held after 5.30pm have to pay for your tuition fees up front. engage with online content outside during the week and/or during the day on More information can be found at of class working both independently Saturdays. Students studying the course uts.edu.au/government-help-schemes and collaboratively in teams. full time can expect to be on campus You can choose to repay your FEE-HELP on average 6 or 8 times a month during loan simply by notifying your employer semester and may have some study who will then withhold your payments obligations during semester breaks. through the PAYG tax system. You can also To get an idea for what subjects are make payments directly to the Australian offered next session and at what time, Taxation Office (ATO). visit the UTS Timetable Planner: timetable.uts.edu.au
Master of Data Science and Innovation Industry connections At UTS, we care about making connections that count. Industry partnerships and engagement are a core part of the MDSI program, preparing students to tackle complex real-world challenges. Here are just some of the industry partners we’ve worked with in the course: Atlassian, Batyr, Cancer Council NSW, CBRE, Huber Social, International Convention Centre Sydney, Investible, Lion, National Heart Foundation, Origin Energy, Rugby Australia, NSW State Insurance Regulatory Authority INNOVATE WITH iLABS BLAIR HUDSON Students have the opportunity to participate in two iLab Analytics executive, Macquarie Group projects as part of the MDSI program, providing students with “Strong ties between university and industry are so opportunities to: valuable and important in the rapidly changing field of – Design investigations utilising cutting-edge and advance data science. It’s really important for graduates to be techniques for large, complex, multi-structure data sets equipped with both the skills (especially commercial – Test new data analysis approaches from current research acumen and communication) to succeed after and literature graduation, as well as interesting project experiences to share with potential employers. – Propose new data studies, under the supervision of transdisciplinary staff As a MDSI partner, I like to think that by engaging Final iLab projects can either be focused on students’ area students in real-world problems through competitions, of interest, their current work environments, or students can projects and discussion we can develop the data work on a project with an industry or program partner in a science future leaders our world desperately needs.” discipline of interest. “The iLab experience has been invaluable to us. The students came armed with practical skills across leading platforms. We were able to bring our vision to life and have full confidence in our chosen approach.” GEORGINA CAMP CEO & Founder, Huber Social 11 11
Postgraduate Course Guide Career options To learn more about MDSI, our student Data experts are in high demand in all experiences and how to apply visit our manner of industries, from oceanography website: mdsi.uts.edu.au to health policy work to market research. The MDSI prepares students to work professionally in a variety of emerging fields, including: – data science Did you know, data – – data analysis data art and visualisation analysts and scientists – – data journalism mobile behaviour analysis will be the top emerging – data-driven policy work in demand role by 2022?* – advertising and marketing *Future of Jobs Report 2018, World Economic Forum – online community management 12
How to apply THE ACADEMIC YEAR LOCAL APPLICANTS NON-AWARD STUDY There are two teaching sessions at UTS: Submit your online application via the Do you want to study a single subject UTS Online Application System at without committing to a full degree? You – Autumn Session: February to May uts.edu.au/pg-admissions can! It’s called non-award study and – Spring Session: August to November it’s a great way to upgrade your skills Find out everything you need to know Did you know that taking available or just learn more about something about upcoming MDSI information sessions subjects in additional short teaching you enjoy. What’s even more exciting is at uts.edu.au/tdi-events sessions is a great way to reduce your that any subjects you complete may be study load. BEFORE YOU APPLY: recognised in future study. Keen to apply? To apply, visit uts.ac/non-award-study ADMISSION REQUIREMENTS All applicants must address the – If you do not have a bachelor degree ENGLISH LANGUAGE PROFICIENCY following criteria. or higher qualification in a relevant There are English language proficiency discipline, but you do have at least two 1. Academic qualifications considered: requirements for all courses. These years full time work experience in data requirements may apply to you, even – Bachelor degree analytics, database management or if you are not an international student. – Graduate diploma programming related fields, then you must also provide: Visit uts.edu.au/english-language- – Graduate certificate – a C.V. outlining work experience requirements to find out more. – Masters degree and education, as well as other – Doctoral degree OFFERS relevant evidence and information UTS will begin making postgraduate 2. The above qualifications may be AND offers for the Autumn session in 2021 in one of the following related – an official Statement of Service, from July 2020. disciplines: from your employer, confirming – Mathematical Sciences the dates of employment, and a ALUMNI ADVANTAGE description of the position held If you’ve already completed a degree at – Information Technology within the organisation. UTS then you’re eligible for the exclusive – Physics and Astronomy Alumni Advantage program, which – Engineering and related COURSEWORK APPLICATION offers a 10% saving on full fee paying technologies CLOSING DATES degree programs. Find out if you’re If you want to start studying at UTS in either eligible for the Alumni Advantage at – Accounting the Autumn or Spring sessions, you need to alumni.uts.edu.au/advantage – Banking, Finance and related apply by: fields – Autumn 2021 session: 31 January 2021 – Business and Management – Spring 2021 session: 27 June 2021 – Economics and Econometrics Applicants with other academic INTERNATIONAL APPLICANTS qualifications may be considered on If you’re an international student, head the basis of general and professional to uts.edu.au/international to find the qualifications that demonstrate their course information, fees and application potential in the Master of Data Science details relevant to you. and Innovation.
mdsi.uts.edu.au Connect with us For advice or information visit mdsi.uts.edu.au or call 1300 ASK UTS Disclaimer: Courses and electives are offered subject to numbers. The information in this brochure is provided for Australian and New Zealand Citizens and Australian Permanent Residents. If you are an international student, please consult the International Course Guide available from UTS International. Information is correct at time of printing (March 2020) and is subject to change without notice. Changes in circumstances after this date may alter the accuracy or currency of the information. UTS reserves the right to alter any matter described in this brochure without notice. Readers are responsible for verifying information that pertains to them by contacting the university. Images: Toby Burrows, Unsplash Jannes Glas & Getty Images Piranka. UTS CRICOS 00099F 23335 FEB 2020
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