Motivation letter sample for a Master of Science in Big Data and Business Analytics

In this article we bring you motivation letter example for Master of science degree program in Big Data and Business Analytics. This is a genuine motivation letter written by a student who applied for a degree course in the ESCP Business School in France.

What to write in Motivation letter for Master in Big Data and Business Analytics?

Your motivation letter has to ensure that selection committee can find out everything relevant for master studies about you. Therefore, within motivation letter for master in Big Data and Business Analytics, you should try to answers to all of the following questions:

How have you developed interest Big Data and Business Analytics?

How will studying a master in Big Data and Business Analytics affect your career and what do you hope to attain?

Why this particular University is best for you?

Do you have required skills and competences to study this master program?

Try to answer to the all above questions and structure well your letter, by paying special attention to the grammar. Use shorter sentences and write in a clear and concise manner. Avoid repeating details from your resume and make more personal approach with the potential reader.

Good luck with your application!

Motivational letter for Master in Data and Business Analytics

I hereby wish to state my interest for a place in Master of Science programme in Big Data and Business Analytics at ESCP Business School in Paris. 

Nowadays, data is a powerful tool for business development, anticipating future environmental problems, and in the handling of disasters. ESCP Business School offers a course that links machine learning and big data. As I wish to research climate change, I plan to study both those fields. This cross-disciplinary program at Paris -1 Sorbonne is thus an ideal route for me to achieve this.

The ESCP’s postgraduate program would allow me to work with instructors who are involved in machine learning for extreme events and big data research, respectively. With them, I can advance the work I have already completed related to how climate change affects businesses. Over recent years, storms have regularly struck Japan, affecting more than 20,000 households. If we can use the data to predict these events, future loss may be decreased and people’s lives can be saved.

At the Fukushima University, I worked with an advisor on climate change from the Fukushima nuclear power plant explosion in 2011. I have studied how the post-explosion climate affects people, data which we imported into Python. I created models which will predict the behaviour and reactions of the people towards the place that they want to live in after an incident related to climate change. Seeing the outcomes of that model was incredibly inspiring to me because I finally realized how carbon energy from nuclear power affects global warming and people’s mental health. I want to repeat this experience. Successfully analysing this study pushes me to pursue climate charts in more depth.

In terms of data-driven predictions, I believe big data is a tool for improving automatic forecasts or decision methods. After I reviewed the ESCP curriculum, I became interested in the statistics and complex models subjects as they are helpful in predicting possible climate change. This course should provide me with an insight into how data is used to analyze the path of storms, and the site of earthquakes, and to visualize the impacted area.

In addition, I want to help people in disaster-prone areas. The first disaster prevention project I wanted to accomplish in my career was to create a natural disaster prediction application, such as a smartwatch or mobile app that would provide people with free notifications. This project uses data from relevant agencies, with the data collected including rainfall recordings and flood simulations, which can predict storms better than traditional systems. I plan to collect data consisting of images, place locations, and cloud coverage that can be processed by AI. The system will simulate climate diagrams to track and forecast flood damage, along with other methods. It can foretell the path of climatic disasters quite accurately and warn people in advance.

I hope you will consider me a suitable candidate for this degree as it will assist me in my career and prepare me to become a professional data scientist.


Katsumi Nakai

Back To Top