
This is software (AWS) generated transcription and it is not perfect.
That's a very interesting question. I was born in India and I did all of my education there; subsequently, I've lived and worked in India, in the US and in the UK, Europe. So, I have lived in different places. What things do I enjoy? I like going out and doing hiking, climbing, swimming, running, cycling and that kind of things. And of course all of us like to travel, so that's another thing that I enjoy.
I'm in the department of management science, in the management school of Lancaster University. So, our department has information systems, operations management and OR, all in the same department. In terms of undergrad programs, we have bachelors in Business Analytics and bachelors in OR. Bachelors in Business Analytics is mostly a mix of marketing and analytics courses that we take. We have more Masters degree programs in the department; the corresponding masters in Marketing and Business Analytics. We have another one in logistics and supply chain management, another Masters program. We also have, the MBA where we have core courses, we have two core courses; one operations management and another one is information system and digital innovation. We have two masters degrees in information systems; one is from our department, which is called Master Science in E-business and innovation and there's another master's that we teach, that is called Masters in information technology, management, and organization. So, a variety of programs in terms of jobs, the bachelors' students they get a job as a business analyst, in analytics department, to get data off a system and analyze that kind of things. Master's students get a combination of consulting; IT consulting, strategy consulting, then they also have positions as Managers, or in Purchase departments and things like that. We have also seen a lot of the analytics student getting jobs like marketing analytics, social media informatics, supply chain informatics, those kinds of technical positions; by technical I mean working with data and things like that.
In the UK, students, I've seen that undergrad student especially, they like to study more of the science; chemistry, physics, maths that kind of things. There is a perception that, those are more prestigious subjects to study. So I would say; we talk about this in our department and the way we go about is, we say you know technology is exciting, data is exciting, analytics is exciting because it gets you to learn new things, because of the areas of application you have a variety of jobs and a variety of careers other than just the technology. You can do more technical things, like you can work with data, work with the application, you can also do the more applied things like process analysis, business analysis. We try to give them a flavor of all the possible careers. We also tell them that, you know you have jobs in this sector and the salaries are very good. So we try to get them excited about data and analytics and IT and things like that. In Uk, that is something students need to know, to get potential students. The other thing is that the other challenge we face is that analytics is a big term, it is hard to really spell out eighteen years old what do you mean by analytics. Many of them already know data manipulation and scripting languages. So, they already know Python, many of them have worked with Python, even before enrolling in an undergrad program. So, the challenge is to convey to them, what is new that we are going to teach you, how does this knowledge lead to some sort of career that you might enjoy and salaries that you might get. Linking what they know about the technology with a future career; I think that can lead to students to get excited about our program.