Master of Data Science and Innovation - UTS Postgraduate Course 2022
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Postgraduate Course 2022
Contents
02 Meet the course director UTS at a glance
03 Why study the MDSI at UTS? 46,328 students
04 Student testimonials 13,963 international students
33,816 undergraduate students
06 Course information 10,223 postgraduate coursework
09 Upskill for success 2289 higher degree research students
4405 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
47% also speak a language other than English
Please note the above numbers are approximate
as of November 2020.
1
Connect with us
UTS ranked Australia’s UTS.transdisciplinary
NO. #1 young* uni UTS_FTDI
*QS Top 50 Under 50 2021 utstransdisciplinaryinnovation
uts-td-school
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
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
solve real-life data science problems. They develop the skills to
Associate Professor Tony Huang visualise and communicate business outcomes and generate
Course Director, Master of Data Science creative data-driven solutions to help influence key decision
and Innovation 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.
2
Master of Data Science and Innovation
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
– Core technical data science skills such GENERATION
as statistics, programming, machine Data science is a collaborative discipline.
learning and visualisation During the course you will collaborate and
build a community with students who have
– Creative thinking skills such as dealing
a wide range of skills and backgrounds.
with ambiguity, problem formulation
Many of our alumni are now working at
and future possibility states
companies like Google, Commonwealth
– Effective communication and Bank, Atlassian and the Reserve Bank
collaboration skills of Australia and continue to be active
– Considering ethical concerns and members of this community. Students
human-centred perspectives in the have found the opportunity to connect with
analysis and use of complex data this network of expertise one of the many
– Skills to adapt and stay current valuable aspects of the program.
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.
3
Postgraduate Course Guide
Student
testimonials
Chris Mahoney
MDSI Student
“Studying the Masters of Data Science
and Innovation course at UTS has been a
phenomenal experience. Challenging at
times, but it has been incredibly rewarding
and educational along the way.
The thing that drew me to this course Yogitha Mariyappa
originally was that it had no exams! International MDSI graduate, 2018
Instead, it has very practical ways Data scientist, Commonwealth Bank
of assessment, including reports, of Australia
presentations, dashboards, code files,
blog posts, Kaggle competitions and “What sets the MDSI apart from other
more. It has taught me to be dynamic and Master’s degree programs is its
versatile in my own development as a transdisciplinary, practice-based
Data Scientist, which has set me up for approach to learning. There’s a large
success in the business environment. practical component to the program to
ensure that students come out of their
Not only does the degree teach the latest shells and develop crucial communication
Artificial Intelligence techniques along with skills, collaborating with peers in the
the popular Machine Learning algorithms, community. The iLabs that are part of
but it also teaches visualisation, the MDSI program are also a fantastic
leadership, deep-learning, big-data opportunity for students to work with live
engineering and data-based decision- data and solve real-world problems.
making, along with changing your mindset
with innovative and statistical thinking. Within a month of finishing the degree’s
The MDSI course pulls all this learning coursework, I had 3 job offers from
together in the best classroom possible: government, consulting and banking
real life. The iLab classes provided me areas – and I hadn’t even started job
the opportunity to apply all my skills in a hunting properly! MDSI helped me prepare
practical and realistic environment and I well enough that, when the opportunity
learnt the most from this experience. presented itself, I was able to make the
most of it. I was at the right place at the
This course has taught me so many right time with the right skills.”
skills; from technical to practical, from
conceptual to deliverable, from theoretical
to presentable. It has helped me to develop
into the best Data Scientist (and Innovator)
that I can be.”
4
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. data understanding, with design and
However, on the other hand, students are communication to bring clarity and
free to choose the elective subjects that understanding for various internal
fit 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.”
5Postgraduate 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*
This flexible course structure enables students to pursue Science (8cp)
their own particular interests and career aspirations. Year 2
Data
Visualisation Data Science Data Science
Autumn
and Narratives Option 3* Elective 2**
(8cp)
Data Science Data Science
Spring iLab 2 (12cp)
Option 4* Elective 3**
6Master 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
– Optimisation in Quantitative Management 6cp
Data Science Electives (select 20cp)**
– 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.
7Postgraduate Course Guide 8
Master of Data Science and Innovation
Upskill for success
with flexible learning options in
data science
Not quite ready to take on the full Masters? We offer a range of flexible learning options in data science
and innovation, allowing you to focus on developing the specific skills you need, when you need them.
Graduate Diploma Graduate Certificate
in Data Science in Data Science
and Innovation and Innovation
Duration: 1 year full-time Duration: 0.5 years full-time
2 years part-time 1 year part-time
The Graduate Diploma in Data Science and Innovation is a The Graduate Certificate in Data Science and Innovation
part of nested qualifications for the Master of Data Science is designed for students to gain data science skills in a
and Innovation. Taking a transdisciplinary approach, this fast-paced mode. It has a flexible and comprehensive
course utilises a range of perspectives from diverse fields course structure with a group of fundamental and
and integrates them with industry experiences, real-world advanced subjects. This allows people with different
projects and self-directed study, equipping graduates with backgrounds and learning objectives to take the course
an understanding of the potential of analytics to transform either as a fast-track pathway into the data science
practice and core data science skills that they can take to and industry, or to develop specialised skills to further
apply in a wide variety of industries. enhance their data science career.
FIND OUT MORE FIND OUT MORE
uts.edu.au/future-students/find-a-course/graduate- uts.edu.au/future-students/find-a-course/graduate-
diploma-data-science-and-innovation certificate-data-science-and-innovation
Microcredentials
Duration: 6 weeks
Gain practical skills and explore university level learning in
small, flexible pieces with our microcredentials developed with
leading data science industry experts. Drawing on content
from the Master of Data Science and Innovation program, these
dynamic, innovative courses provide hands-on learning and
practice and are a perfect way to start your data science journey.
Best of all, microcredentials can also count towards
further degree courses if you choose to pursue further
postgraduate study.
FIND OUT MORE
open.uts.edu.au/invent-you/tdschool-data-science-
innovation/
9Postgraduate 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 of
during the week and/or during the day on More information can be found at
class working both independently and
Saturdays. Students studying the course uts.edu.au/government-help-schemes
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 offered make payments directly to the Australian
next session and at what time, Taxation Office (ATO).
visit the UTS Timetable Planner:
timetable.uts.edu.au
10Master 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
BLAIR HUDSON
INNOVATE WITH iLABS
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
data science. It’s really important for graduates to be
– Design investigations utilising cutting-edge and advance
equipped with both the skills (especially commercial
techniques for large, complex, multi-structure data sets
acumen and communication) to succeed after
– Test new data analysis approaches from current graduation, as well as interesting project experiences
research and literature to share with potential employers.
– Propose new data studies, under the supervision of
As a MDSI partner, I like to think that by engaging
transdisciplinary staff
students in real-world problems through competitions,
Final iLab projects can either be focused on students’ area projects and discussion we can develop the data
of interest, their current work environments, or students can science future leaders our world desperately needs.”
work on a project with an industry or program partner in a
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
11Postgraduate 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 analysts
– data analysis
– data art and visualisation
and data scientists are one of
– data journalism the top in demand jobs across
– mobile behaviour analysis
– data-driven policy work industries?
– advertising and marketing Source: Future of Jobs Report, 2020, World Economic Forum
– online community management
12Master of Data Science and Innovation
How to apply
THE ACADEMIC YEAR LOCAL APPLICANTS NON-AWARD STUDY
There are three 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 it’s
– Spring Session: August to November a great way to upgrade your skills or just
Find out everything you need to know
– Summer Session: December learn more about something you enjoy.
about upcoming MDSI information sessions
to February What’s even more exciting is that any
at uts.edu.au/about/td-school/events
subjects you complete may be recognised
Did you know that taking available in future study.
subjects in additional short teaching
BEFORE YOU APPLY:
Keen to apply? To apply, visit uts.ac/non-award-study
sessions is a great way to reduce your
study load? – If you do not have a bachelor degree
ENGLISH LANGUAGE
or higher qualification in a relevant
ADMISSION REQUIREMENTS discipline, but you do have at least two
PROFICIENCY
All applicants must address the There are English language proficiency
years full time work experience in data
following criteria. requirements for all courses. These
analytics, database management or
requirements may apply to you, even
1. Academic qualifications considered: programming related fields, then you
if you are not an international student.
must also provide:
– Bachelor degree
– a C.V. outlining work experience Visit uts.edu.au/english-language-
– Graduate diploma
and education, as well as other requirements to find out more.
– Graduate certificate relevant evidence and information
– Masters degree AND
ALUMNI ADVANTAGE
If you’ve already completed a degree at
– Doctoral degree – an official Statement of Service, UTS then you’re eligible for the exclusive
from your employer, confirming Alumni Advantage program, which
2. The above qualifications may be
the dates of employment, and a offers a 10% saving on full fee paying
in one of the following related
description of the position held degree programs. Find out if you’re
disciplines:
within the organisation. eligible for the Alumni Advantage at
– Mathematical Sciences
alumni.uts.edu.au/advantage
– Information Technology COURSEWORK APPLICATION
CLOSING DATES
– Physics and Astronomy
If you want to start studying at UTS in either
– Engineering and related the Autumn or Spring sessions, you need to
technologies apply by:
– Accounting
– Autumn 2022 session: 31 January 2022
– Banking, Finance and related
– Spring 2022 session: 26 June 2022
fields
– Business and Management INTERNATIONAL APPLICANTS
– Economics and Econometrics If you’re an international student, head to
uts.edu.au/international to find the course
Applicants with other academic information, fees and application details
qualifications may be considered on relevant to you.
the basis of general and professional
qualifications that demonstrate their
potential in the Master of Data Science
and Innovation.
13mdsi.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 (June 2021) 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
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