Unknown: Let's get started with a brief introduction on what's
happening with AI in Australia. So, as we can see, the figures
here the economy is growing and we have more than $20 trillion
dollars value coming into global economy from AI and
Australian industry will need you know, more than 160,000 new
AI specialist or AI engineers in the, in the in the future by
2030 Not only in pure machinery, but also specialised areas such
as computer vision, natural language processing and so many
other related areas. And mostly another very important and
interesting fact is more and more startups are also adopting
and using AI algorithms for you know, creating novel things,
okay. So, this is also an important slide why why you
should choose UTS So, University of technology Sydney is ranked
10th in the world and 1st in Australia for artificial
intelligence research. In the latest AI research index,
ranking by Korean software Policy and Research Institute,
we also have the the Australian artificial intelligence
Institute which is a AII which is part of UTS as well and is
the largest research have been in the field of Artificial
Intelligence. Okay, so, let me give a quick overview of the
programme now. And let's see, see the course structure
briefly. So the Master of AI programme is a 96 credit point
two years full time programme, with a major focus on students
getting hands on experience with real world industry as well as
research projects and also becomes socially responsible and
highly competent as AI specialist or AI engineer.
Specifically the master of artificial intelligence course,
prepared graduates with a strong and practical knowledge in the
array in a range of AI topics as well as provides a strong
knowledge of data analytics, machine learning and AI. The
course also provides preparation for conducting academic research
or engaging in industry projects. The master of AI
courses or is designed for it and computing professionals
interested in moving into AI and determines data analyst as a
career or also for those who are already working in data
analytics or AI or related jobs to expand their expertise and
upskill themselves. Whereas the Graduate Diploma in AI programme
is a one year full time programme and you will need to
complete 48 credit points and it is focusing on enabling students
to analyse plan and form studies around data and AI and also
enterprise decision making. So the Graduate Diploma in AI will
provide a strong foundation of knowledge on data analytics and
visualisation machine learning as well as AI. This course is
particularly designed for it or computing professionals who are
interested in moving into roles such as junior data analyst or
machine learning or AI engineer, as a career and anyone who is
working in AI or database related jobs can also join this
course to expand their expertise and advance the career. Let us
check out the cost structure for both master of AI and Graduate
Diploma in AI. So, as I mentioned previously, we have 48
credit points for Graduate Diploma of AI and then we have
96 credit point for for the master of the AI. So, in both of
in both these courses we start with with the AI called the
artificial intelligence score which are which are a
combination of foundation subjects or or we can say
compulsory subjects that students need to check need to
need to take this is going to provide good or I will say
strong foundation knowledge on AI software development, data
analytics and also visualisation. The next block is
the AI option, which is a list of subjects which students
students can choose from. This is not the complete list out I
would suggest to check the website for more details, but
you will have a range of subjects to choose from, apart
from AI related subjects such as emerging topics in AI
international competition, competition intelligence,
Introduction to Quantum Computing so on.
The next block is also a choice block, which is the professional
doc, where students will have options to apply their knowledge
on products. And and they have two options to choose from the
technology and innovation management and the next one is
the ethics of data AI. For Graduate Diploma in AI, students
can choose only one subject which is any one of them.
Whereas for Master of AI, students need to choose both of
them. Next, we have two sub major option I would say, we can
we can think of a specialisation options, which is for in
computer vision and natural language processing. And we also
have a project stream, as I mentioned, where you will,
students will have option to either choose from research
project or industry project and also go through the technology
research depression kind of things, where they learn how to
do research, academic research particularly so that's the
product stream. So for Graduate Diploma diploma in AI, as I
mentioned, it's 48 credit points. So, it will comprise of
AI core options and the provisional choice, whereas for
Master of AI, it will be all of them, including this submajor
choices of either computer vision or natural language
processing. So let's check out a little bit more details about
the AI submajors in the next slide. So, we have two submajor
choices, one is the first one is computer vision, which is
related to how the computer perceive things from input such
as images and videos for example, there are a range of
advanced subjects such as reinforcement learning deep
learning and convolutional neural network image processing
and pattern recognition and the artificial intelligence studio.
This artificial intelligence layer is where students do a lot
of hands on tasks and creating products for example, and
innovative stuff. Similarly, for natural language processing, we
also have a range of advanced subjects, which includes
reinforcement learning natural language processing algorithms,
advanced natural language processing as well as the AI
studio. Now, the difference between the AI studio today for
both these submajors is anyone who is going for the computer
vision major, some major will do will do a project or something
related to computer vision whereas anyone who is doing the
nationall language processing some measure will do something
related to national processing, national language processing, in
the AI studio. Let's quickly go through some of the potential
career opportunities you know, students are the greatest might
have after the complete either of these these courses. So,
first one is AI is machine learning injuries and
engineering is another Another great option is especially for
AI engineer is another very good option which is which is quite
popular as of now. Computer Vision engineer and natural
language processing engineers are also very specialised
options in the industry. Apart from that, you also have options
for you know for the research and development kind of jobs or
roles for anyone doing you know, opting for the Graduate Diploma
in AI does have a role such as a major Junior data analyst or
junior aim those kind of roles. Now, I would like to invite
Shamshek to speak about his experience when he was doing the
master of AI programme or Master of Information Technology in
data analytics programme.
Hey Everyone, hopefully you can hear me. So my name is
ShamsheerVerma. I graduated in 2019. And while doing Masters of
Information Technology, specialisation and data
analytics Currently, I'm working in CommBank, Commonwealth Bank
of Australia as a senior data analyst. I joined Commbank while
I was actually in the middle of my study, so I think I started
in 2017. And when I started my masters, and in the middle,
somewhere in 2018, I caught an opportunity to work in the
Commonwealth Bank of Australia, which was has been a really good
experience, but apart from it in terms of UTS experience, it's
been quite interesting, especially the first thing that
you realise when you when you enter this university is that
the wide variety of subjects that that you get as in as a
freedom to choose whatever specialisation that you would
like to do, but along with it, it has a structured manner of
creating a fundamental base for You and then you can choose a
specialisation as not been mentioned before. So apart from
that, there is a good mix that I realised and it was really good
for me that there were technical subjects, but also there was
some business aspects that worker covered in some of the
subjects which created a baseline for me to move into an
industry. So I started working with Dr. Naveen and when I
started my studies, and I approached him and I told him
that, you know, I would like to work in artificial intelligence,
and he gave me opportunities to work on some industrial
projects, industrial projects really helped me, I started
teaching a little bit to industrialists Python, in I
think, in 2018. So yes, another reason that UTS is was quite
good was that it's not only that it's internationally recognised
University from here from UTS, if you would like to do PhD, or
if you'd like to do research, I can actually move to other
countries or go for higher studies under UTS only, or maybe
I can move into industry quite quickly, because UTS is in the
city of Sydney. So you are quite, you're quite surrounded
with the with the companies around. And that kind of gives
you an experience of how close the locality is towards
industries and and you it makes your probability of getting into
industry better and in that sense, thank you.
Thanks so much for sharing your experience Shamsheer, really
appreciate it. And as he said, please make sure if you've got
any questions for him on his experience, to put that in the
q&a box now. So I just wanted to quickly run through some things
that might be important when it's looking at your studies and
master of AI is the postgraduate phase. So for the master of
artificial intelligence, you're looking at 96 credit points. So
their fee per credit point is roughly 752. And then for the
Graduate Diploma of artificial intelligence, you're looking at
48 credit points. With the fees being the same for the credit
point itself. We also do have the options of fee help with the
email address just there if you need to reach out. But like we
said before, we'll be sending you also a copy of this
presentation later on. So don't feel you have to take this
information down now. Some other helpful tips before you apply.
One of the biggest thing is always to check your session
dates as when to apply any admission requirements for the
course that you're interested in any required documentation,
especially if it needs to be certified for your application,
and the English proficiency for the course itself that you're
interested in. So for our domestic and international
students, we have some QR codes on the screen now for you. If
you would like to check out that portal, just to let you know for
the next round of applications that are closing on the 26th of
June. We also have a page here with a common questions that
might be some helpful sites that you can visit for either fees,
fees, assistance, timetables, being an international student,
short courses and scholarships as well. Just note that
obviously if you do have recognition of prior learning
that you wish to apply for, it's always assessed by a case by
case basis. Same with your applications.