aaderemi1
Apr 28, 2019
Scholarship / Help me review my scholarship essay under the following headings. [2]
Finally, please state in not more than 600 words in the space provided below:
1. Why you wish to acquire this scholarship.
2. Why you wish to obtain the qualification listed as your choice (for M.Sc. candidates) and that of your chosen research area (for PhD candidates), and;
3. How you think you will benefit in terms of your career and personal development from obtaining this scholarship and the resulting qualification once you have returned to you home country.
The main reasons why I wish to acquire this scholarship are to enable me to develop skills relevant to the modern world of electric power distribution and control and because I can't afford the cost of study in the UK without this scholarship. Nigerian graduates are usually described as 'unemployable' by people in the industry, a Masters from a reputable school in the UK serves to bridge this gap through the hands on teaching that they offer. In schools like the University of Manchester and of Newcastle, they have courses in Electrical Engineering, like the advanced MSc in power engineering which lasts for two years. This advanced power engineering MSc, in particular, exposes students to a year of carrying out intensive research. Such an exposure is necessary as carrying out research is necessary for the development of science and technology in any country. The opportunity to any of these schools will serve as a means of gaining knowledge which can then be used to improve the oil and gas industry and the country. Obtaining this scholarship will help me access this wealth of knowledge which would otherwise be impossible because even if my retired father was still alive, I still wouldn't have been able to afford to study outside Nigeria.
Like many other industry, effective power distribution is required in the oil and gas industry. This is especially useful in that if adequately done, it's expected to have a spillover effect to how electricity is distributed in Nigeria leading to better power supply across the nation. Effective electricity distribution is surely a problem in Nigeria. It's why residents of Maiduguri would complain to authorities that they are having too much 'light' while residents of a city like Lagos can only hope for the same. Improving the supply of electricity across the nation, especially in our urban centres, is particularly important in it would lead to much more rapid growth of the country.
A rapidly growing field of study which can be influential in how power is analyzed and distributed is the field of machine learning. With machine learning, data can be collected all across the generation, transmission and distribution of electricity and such data can be used to build predictive models. These models can be used in fault detection, faster power quality signal classification and would lead to better decision making. Machine learning can also be used to design adaptive control systems with more autonomy leading to cost reduction in the generation of power. Not only can machine learning be applied for the analysis of tabular data, subfields in it like deep learning can be used to analyze satellite images which can then be used for remote monitoring of pipelines for better security. Such monitoring will lead to reduction in pipeline vandalism and a reduction in the cost of protecting them. It's a field I have been studying by myself over my service year and I believe this MSc will give me an opportunity to further in it. This is one of the advantages in studying in the UK as it's part of the MSc electrical engineering curriculum in such schools and Imperial College, University of Manchester etc.+
Furthermore, after working in the industry and impacting there, I would like to obtain a PhD in the future with hopes of working with a Nigerian university with the aim of impacting knowledge in prospective engineers from the country. The aim of this is to make Nigerian schools into world class institutions of learning where research is carried out, leading to long term reductions in the cost of training manpower abroad.
Finally, please state in not more than 600 words in the space provided below:
1. Why you wish to acquire this scholarship.
2. Why you wish to obtain the qualification listed as your choice (for M.Sc. candidates) and that of your chosen research area (for PhD candidates), and;
3. How you think you will benefit in terms of your career and personal development from obtaining this scholarship and the resulting qualification once you have returned to you home country.
I am an MS candidate.
The main reasons why I wish to acquire this scholarship are to enable me to develop skills relevant to the modern world of electric power distribution and control and because I can't afford the cost of study in the UK without this scholarship. Nigerian graduates are usually described as 'unemployable' by people in the industry, a Masters from a reputable school in the UK serves to bridge this gap through the hands on teaching that they offer. In schools like the University of Manchester and of Newcastle, they have courses in Electrical Engineering, like the advanced MSc in power engineering which lasts for two years. This advanced power engineering MSc, in particular, exposes students to a year of carrying out intensive research. Such an exposure is necessary as carrying out research is necessary for the development of science and technology in any country. The opportunity to any of these schools will serve as a means of gaining knowledge which can then be used to improve the oil and gas industry and the country. Obtaining this scholarship will help me access this wealth of knowledge which would otherwise be impossible because even if my retired father was still alive, I still wouldn't have been able to afford to study outside Nigeria.
Like many other industry, effective power distribution is required in the oil and gas industry. This is especially useful in that if adequately done, it's expected to have a spillover effect to how electricity is distributed in Nigeria leading to better power supply across the nation. Effective electricity distribution is surely a problem in Nigeria. It's why residents of Maiduguri would complain to authorities that they are having too much 'light' while residents of a city like Lagos can only hope for the same. Improving the supply of electricity across the nation, especially in our urban centres, is particularly important in it would lead to much more rapid growth of the country.
A rapidly growing field of study which can be influential in how power is analyzed and distributed is the field of machine learning. With machine learning, data can be collected all across the generation, transmission and distribution of electricity and such data can be used to build predictive models. These models can be used in fault detection, faster power quality signal classification and would lead to better decision making. Machine learning can also be used to design adaptive control systems with more autonomy leading to cost reduction in the generation of power. Not only can machine learning be applied for the analysis of tabular data, subfields in it like deep learning can be used to analyze satellite images which can then be used for remote monitoring of pipelines for better security. Such monitoring will lead to reduction in pipeline vandalism and a reduction in the cost of protecting them. It's a field I have been studying by myself over my service year and I believe this MSc will give me an opportunity to further in it. This is one of the advantages in studying in the UK as it's part of the MSc electrical engineering curriculum in such schools and Imperial College, University of Manchester etc.+
Furthermore, after working in the industry and impacting there, I would like to obtain a PhD in the future with hopes of working with a Nigerian university with the aim of impacting knowledge in prospective engineers from the country. The aim of this is to make Nigerian schools into world class institutions of learning where research is carried out, leading to long term reductions in the cost of training manpower abroad.
