This is the transcript for the video Master of Artificial Intelligence

Nabin Sharma 0:05
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 AAII, 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 block, 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 national 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 Shamsheer to speak about his experience when he was doing the master of AI programme or Master of Information Technology in data analytics programme.

Shamsheer Verma 8:50
Hey Everyone, hopefully you can hear me. So my name is Shamsheer Verma. 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. Nabin 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.

Dannielle Woolcott 11:46
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 fees. So for the Master of Artificial Intelligence, you’re looking at 96 credit points. So the 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.