Postgraduate Course 2021 - University of ...

Postgraduate Course 2021 - University of ...
Postgraduate Course 2021 - University of ...
Postgraduate Course 2021 - University of ...

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.

                                                      Connect with us
                   UTS ranked Australia’s                    UTS.transdisciplinary
NO.                #1 young* uni                             UTS_FTDI
*QS Top 50 Under 50 2020                                    utstransdisciplinaryinnovation

                                                      Acknowledgement of Country
          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 2021 - University of ...
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.”

Postgraduate Course 2021 - University of ...
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
                                          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.

Postgraduate Course 2021 - University of ...
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.

Postgraduate Course 2021 - University of ...
Master of Data Science and Innovation

Postgraduate Course Guide


                                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.”

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."

                                                 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.”

Postgraduate Course Guide


                                                                   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**
    subjects can be selected from data science related subjects
    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**

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
                                                    subject to change according to student demand.

Postgraduate Course Guide

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
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                                     
                                             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:
Master of Data Science and Innovation

     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.”
     CEO & Founder, Huber Social

11                                                                                                                                      11
Postgraduate Course Guide


                                                       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:
           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

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
                                                          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
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
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
     –   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
     –   Banking, Finance and related      apply by:
                                           –    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 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.

                  Connect with us
                  For advice or information
                  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
You can also read