STATEMENT OF PURPOSE

a. Introduction
b. What do you want to do (study or research?)
c. Why this program?
d. Why this university?
e. Why did you choose to study in this particular country? What do you like about
it?
f. How much and what kind of experience you have in your field?
g. Specific classes, special courses or projects you have taken, that are related to
your field of interest.
h. Any community service or leadership experience while in college.
i. Why should you get admitted to this program?
j. What values will you bring to the institute and to your peers?
k. What do you understand about the student community and college culture? Why
do you think you will fit in?
l. What are your career goals?
m. How will this program help you to achieve your career goals?
n. Your extracurricular activities, hobbies, and interests
o. What is that one unique aspect/characteristic about you that the admission
officers should know? Why does it matter to the admission officers and/or to the
fellow students of your class?
p. Conclusion

Prediction from data

Practical

Subject I like

Motivation

I am applying to Trinity College Dublin’s master’s program in Data Science. I have done
my bachelor’s in Statistics from Amity University.
In the first semester, students gain the necessary skills in Research Methods (to enable
students to produce their own dissertation), Innovation (to equip students with skills in
company formation or innovating within a large company) and Machine Learning (a
foundational technique for each of the specializations). In addition, students will make
a start on their specialist modules in their chosen strand.
During the 2nd semester, students will begin foundational work on their dissertation,
and immerse themselves in modules of their chosen strand.
The 3rd semester will be exclusively focused on the Dissertations, doing experimental
work, building prototypes and writing up the work.

We expect our graduates to be in high-demand for top-end research and development

positions within leading multi-national companies and from startup-companies
alike. There will also be opportunities to progress to PhD study with many funded
positions available local.

The MSc programme aims to produce very high quality graduates that can become
leaders in high-tech industry and academic research. It will be intensive, demanding
and rewarding.

You need to be able to be fully competent in programming in C, C++ or Java [for

Graphics and Vision Technologies, you will need to have or acquire competence in C++]

A strong work ethic and the resolve to strongly engage with the demanding programme.

Along with the core modules in the first semester, you will learn the key techniques of
Data Mining & Analysis including classification techniques, neural networks and
ensemble methods with practical work in the R language. Finally, you will discover
how large data sets might be gathered and manipulated in large cloud computing
facilities in the Scalable Computing

You will build on this in the 2nd semester with a course on Optimisation Algorithms for
Data Analysis which will explore topics such as Convex optimisation, large dimension
simulation with an opportunity to apply your new found skills in a project using Python,
R or Scala. In Applied Statistical Modelling, you will deal with many popular techniques
such as Markov Chains and Monte Carlo Simulation with an opportuniuty to apply these
techniques to a real data set. You will learn how to reveal the insights derived from
large data sets in the Data Visualisation module. module and cover essential cyrpto and
security concerns in the Security & Privacy module. In addition, you can choose two
additional modules from a pool.

By April, you will have chosen your Dissertation topic, picked and consulted with your
chosen supervisor and be ready to develop substantial time researching and
prototyping your work. We expect that the top projects should deliver publishable
quality papers over this period. At the end of the year, all projects will be showcased to
an industry audience comprising indiginous, small & medium employers and
multinational companies.
Trinity requirements
 Interest- demonstrate your interest in the course programme and outline any
evidence of this interest-academic and personal.
 Motivation - explain why this is the field of your choice, and in particular why
you want to study at this university/department
 Unique contribution - your personal strengths and experience which you believe
will help you to enjoy and succeed in this course/research programme at college.
 Relevant experience - employment, work experience, placement or voluntary
work which you consider support your application.
 Relevant extracurricular experience - reference any other interests or
achievements that are relevant and may support your application.
 Any other information which you believe supports your application
 The three key things to communicate are generally: Why me? Why Here? Why
now?
 When you have finished, save a copy of your completed application and keep
this: it will help you to prepare for interview and apply for other
courses/research programmes.
What to include in a personal statement
You should tailor your Masters personal statement to fit the course you're applying for,
so what to include will largely depend on the course requirements. However, in general
you should write about:

 Your reasons for applying and why you deserve a place above other candidates -
discuss your academic interests, career goals and the university and department's
reputation, and write about which aspects of the course you find most appealing,
such as modules or work experience opportunities. Show that you're ready for the
demands of postgraduate life by demonstrating your passion, knowledge and
experience.
 Your preparation - address how undergraduate study has prepared you for a
postgraduate courses, mentioning your independent work (e.g. dissertation) and
topics that most interest you.
 Evidence of your skillset - highlight relevant skills and knowledge that will enable
you to make an impact on the department, summarising your abilities in core areas
including IT, numeracy, organisation, communication, time management and
critical thinking. You can also cover any grades, awards, work placements, extra
readings or conferences that you've attended and how these have contributed to
your readiness for Masters study.
 Your goals - explain your career aspirations and how the course will help you
achieve them.

Personal statement structure

Your personal statement should follow a logical structure, where each paragraph
follows on from the one before. Capture the reader's attention with an enthusiastic
introduction covering why you want to study a particular Masters. Then, engage the
reader in your middle paragraphs by evidencing your knowledge and skills and
demonstrating why the course is right for you.

Around half of the main body should focus on you and your interests, and the other half
on the course. Your conclusion should be concise, and summarise why you're the ideal
candidate. Overall, aim for four to five paragraphs. You can use headings to break up the
text if you prefer.

Address any clear weaknesses, such as lower-than-expected module performance or

gaps in your education history. The university will want to know about these, so explain
them with a positive spin

What to avoid
You shouldn't:

 be negative
 follow an online template
 include irrelevant course modules, personal facts or extracurricular activities
 include inspirational quotes
  lie or exaggerate
 make pleading statements
 namedrop key authors without explanation
 needlessly flatter the organisation that you're applying to
 repeat information found elsewhere in your application
 use clichés, gimmicks, humour, over-used word such as 'passion' or Americanisms
 use overly long sentences
 use the same statement for each application
 use your undergraduate UCAS application as a template
 waffle
 leave writing your personal statement to the last minute

What admissions tutors are looking for

Admissions tutors will be looking for:

 an explanation of how the course links your past and future

 an insight into your academic and non-academic abilities, and how they'll fit with
the course
 evidence of your skills, commitment and enthusiasm
 knowledge of the institution's area of expertise
 reasons why you want to study at the institution
 you to express your interest in the subject, perhaps including some academic
references or readings.