Rylan Patrick Mascarenhas
MSc Business Analytics (online delivery, part-time)
Undergraduate education:

Computer Engineering, Mumbai University

Role beginning at Imperial College Business School:

Google Cloud Data Engineer, Infosys

MSc Business Analytics (online delivery, part-time) 2019

About you

What work experience/internships did you have before beginning with Imperial College Business School?

Before beginning my Imperial degree, I worked for six years in the data analytics space of a leading information technology company focusing mainly on the financial services sector.

Why did you decide to study an MSc Business Analytics?

I graduated with a Computer Science degree and wanted to gain a good understanding of business and its applications in the analytics space without a break in my career. The online part-time programme enables flexible learning remotely, which is ideal for my situation.


What aspects of the programme do you enjoy the most?

The best parts of this programme include connecting with a global cohort with a vastly diverse skillset, interacting with the expert faculty and Careers services at Imperial, and gaining access to core concepts of Business Analytics.

Which has been your favourite module so far and why?

I personally enjoyed studying the Data Structures and Algorithms module, as it covered most of the core capabilities of the Python programming language and introduced advanced packages for web scraping, hacking and visualisation, along with their real-world business applications.

What has been the most rewarding part of the programme?

The ability to discuss concepts with an expert faculty and collaborate remotely with a global cohort on solutions to real world problems, through a medium such as Slack has been one of the most rewarding parts of this programme.

What has been the most challenging part of the programme? 

At times, managing work and study simultaneously, especially with clashing deadlines, has been one of the challenging parts of this programme.


How would you describe your cohort at Imperial?

Imperial has a global cohort with a vast diversity in skillset that facilitates networking and collaborating to develop new ways of looking at and solving real world problems.

Did you have a favourite professor/lecturer and why?

I consider Professor Wolfram Wiesemann an excellent professor and mentor. Since our programme is online, we relied mainly on the lecture videos and notes on the Hub for our study content, and Professor Wiesemann’s lectures and notes were perfectly designed, with precise content and intuitive visualisations that made understanding the concepts of Optimisation & Decision Models easy.


What has been the greatest opportunity you have had at Imperial?

The ability to represent my cohort as the Academic Leader of the Student Staff Committee (SSC) has helped me develop a set of leadership skills, that I consider the best opportunity I have had at Imperial.

Which workshops, events or guest lectures at the school have been useful in developing your skills and knowledge?

The Student Leadership Day at Imperial has been one of the most useful workshops in developing core leadership skills like communication, motivation, creativity, feedback and responsibility.

What clubs, societies or other activities have you been involved in at Imperial?

I have been involved in the Student Staff Committee (SSC) as the Academic Leader representing my cohort and as a Student Ambassador for the online part-time Msc Business Analytics programme.

How have you benefited from being part of the wider Imperial College London community?

The networking events organised by Imperial provide an excellent way to connect with students from various backgrounds and gain an insight into their programmes, interests, ideas, expertise and opportunities.


What are your future career goals and how have they been realised since being at Imperial?

I aspire to be a Solutions Architect with a global firm, managing the business and technicalities of multiple systems to solve real world problems. The Imperial programme has a well curated curriculum that has helped me step closer to my dream job.

Studying online

What have been the benefits and challenges of studying part-time and online?

While the part-time online degree allowed me to continue with my current job and apply the concepts learned from the programme to my day to day tasks at work, it required extensive time management and weekends dedicated to studying to keep on track with the coursework.

How do you find using the programme’s purpose built learning platform, The Hub?

The Hub has been a one-stop platform for all my programme related content. The lecture videos, daily updates, progress charts, upcoming deadlines and engaging exercises are well configured in an intuitive user interface.

The programme includes two on campus sessions. How did you find coming on campus to London?

Given the online mode of study, the on campus sessions were exciting opportunities that I looked forward to, to connect with my professors and cohort. Although distributed globally, we connected well because of our frequent interactions over Slack, group exercises and live classroom sessions.

When you’re not studying, what do you enjoy doing?

When I’m not studying, I enjoy coding, reading novels, listening to music, surfing the web and learning new languages.


What advice would you give someone who is thinking about applying for the programme?

My advice to anyone applying for MSc Business Analytics (online delivery, part-time) would be to go through the programme structure on the website, get in touch with a Student Ambassador to understand their personal experience and finally, ascertain if the content would be appropriate for your long-term career goals. If your answers to these questions are positive, then demonstrate your best skills in the application and prepare yourself – and make sure to dedicate an appropriate amount of time and effort into it.

MSc Business Analytics (online delivery, part-time)
Undergraduate education:

Computer Engineering, Mumbai University

Role beginning at Imperial College Business School:

Google Cloud Data Engineer, Infosys