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write a statement of purpose explaining your background and the motivation for applying to a master course in data science

write a statement of purpose explaining your background and the motivation for applying to a master course in data science pRxwm
My passion for Data Science is relatively recent, but the preconditions had been there for a long time: love for subjects as logic and math; love for games that involve logical reasoning as chess, which, I think, has some similarities with this field; and also the interest in finding connections between things, even between those that are apparently very different and distant from each other. The first conscious interest in Data Science arose following the Cambridge Analytica case, which, despite the negative aspects, highlighted the potential in this area. Particularly, the fact of being able to extrapolate and predict, from data, which we usually consider "useless", various information and knowledge. While this element may frighten on the one hand, it fascinated me a lot on the other. But the real drive to want to take this path comes from my thesis supervisor and her PhD student. Last year, I attended the research methodology course with them, during which various aspects of Data Science were introduced and its different potentialities were highlighted. In particular, techniques and methodologies of data analysis, data mining, natural language processing, machine learning and much more. From their input, I then began to read and investigate the subject, becoming more and more fascinated by the subject. Last year, due to the current emergency situation, I had more free time not having to work every day. Wanting to use this time in a better way, but also for fun, I decided to learn to program in Python. Once I started I could not stop, a new world opened to me. Later it was suggested to me the Udemy platform, which allowed me to follow different courses in this area: review and enhance programming knowledge and skills, NLP, machine learning, and more. Also, during last year, to improve my statistical skills and knowledge, I did a course, with the SARALAB school, in multivariate statistics with R, and a course in Structural Equation Modeling with R. From this interest and thanks to the acquired knowledge I had the opportunity to conduct a research thesis, which consists of identifying and predicting customer satisfaction through textual analysis of restaurants reviews. This research allowed me to confront myself with different aspects of Data Science: programming, data analysis, statistics, etc. In fact, I wrote a script in python, in order to automatically collect customers reviews on google reviews platform. The program, given the name of a city as input, collects all the reviews of all the restaurants of the city. These reviews were analyzed with LIWC software to identify the underlying psychological aspects. Then, from the LIWC categories, we proceeded with Structural Equation Modeling methodologies, and found some latent psychological dimensions which reflect on customer ratings, so their satisfaction. The innovative thing is that no research viewed LIWC categories as constituent of a PLS-PM model. Moreover, the preliminary study was presented at the Data Science and Social Research conference last December, and at the present time I’m writing the research paper. This experience allowed me to understand that what I want to do in the future is work in this area. Particularly, I would like to join my background in psychology with this field, working in the development of an AI with a Theory of Mind. Also, I would like to work in the improvement of actual algorithms in machine learning, maybe in a way to reduce those biases which contribute to maintain some form of inequity, as gender and racial discrimination. While I was searching for a master degree that could allow me to join my studies in psychology with the passion for data analysis, I found this master in Data Science and I found it fascinating. First of all, it is one of the few masters in Data Science in Europe open not only for those who have a degree in computer science and related fields. Also, it has a lot of courses I’m interested in, particularly those concerning the natural language processing, machine learning, text mining, artificial intelligence, and so on. I like the fact that there is a theoretical approach joined with the hands-on approach. Moreover, I appreciate the intercultural environment with students from all over the world and this is something that can just enrich everyone. Attending this master I will have the opportunity to get to the heart of the subject and get all those competences to become a professional in this multidisciplinary sector. I will get a competitive and sought master degree, which could allow me to get a good job in this area, not only in Italy, but also all around the world. It could give me, in this way, extra gear. After the degree, I would like to work as a researcher, both in academia and industry. Therefore, continue first of all with a PhD, particularly I’m interested in research in Artificial Intelligence, computational psychology and computational human behavior. What I would like to do is work with data and turn them into information and knowledge, find associations, correlations, links, learn and make predictions from them. I want to become a data scientist.
My passion for
Data
Science
is
relatively
recent,
but
the preconditions had been there for a long
time
:
love
for subjects as logic and math;
love
for games that involve logical reasoning as chess, which, I
think
, has
some
similarities with this field; and
also
the interest in finding connections between things, even between those that are
apparently
very
different
and distant from each other.

The
first
conscious interest in
Data
Science
arose following the Cambridge Analytica case, which, despite the
negative
aspects
, highlighted the potential in this
area
.
Particularly
, the fact of being able to extrapolate and predict, from
data
, which we
usually
consider
"
useless
"
, various information and
knowledge
. While this element may frighten on the one hand, it fascinated me a lot on the other.

But
the real drive to want to take this path
comes
from my thesis supervisor and her PhD student. Last year, I attended the
research
methodology
course
with them, during which various
aspects
of
Data
Science
were introduced
and its
different
potentialities
were highlighted
.
In particular
, techniques and methodologies of
data
analysis
,
data
mining, natural language processing,
machine
learning
and much more. From their input, I then began to read and investigate the subject, becoming more and more fascinated by the subject.

Last year, due to the
current
emergency situation, I had more free
time
not having to
work
every day. Wanting to
use
this
time
in a better way,
but
also
for fun, I decided to learn to program in Python. Once I
started
I could not
stop
, a new world opened to me. Later it
was suggested
to me the Udemy platform, which
allowed
me to follow
different
courses
in this
area
:
review
and enhance programming
knowledge
and
skills
, NLP,
machine
learning
, and more.
Also
, during last year, to
improve
my statistical
skills
and
knowledge
, I did a
course
, with the
SARALAB
school, in multivariate statistics with R, and a
course
in Structural Equation Modeling with R.

From this interest and thanks to the acquired
knowledge
I had the opportunity to conduct a
research
thesis, which consists of identifying and predicting customer satisfaction through textual
analysis
of restaurants
reviews
. This
research
allowed
me to confront myself with
different
aspects
of
Data
Science
: programming,
data
analysis
, statistics, etc. In fact, I wrote a script in python, in order to
automatically
collect customers
reviews
on google
reviews
platform. The program,
given
the name of a city as input, collects all the
reviews
of all the restaurants of the city. These
reviews
were analyzed
with
LIWC
software to identify the underlying psychological
aspects
. Then, from the
LIWC
categories, we proceeded with Structural Equation Modeling methodologies, and found
some
latent psychological dimensions which reflect on customer ratings,
so
their satisfaction. The innovative thing is that no
research
viewed
LIWC
categories as constituent of a PLS-PM model.
Moreover
, the preliminary study
was presented
at the
Data
Science
and Social
Research
conference last December, and at the present
time
I’m writing the
research
paper.

This experience
allowed
me to understand that what I want to do in the future is
work
in this
area
.
Particularly
, I would like to
join
my background in psychology with this field, working in the development of an AI with a Theory of Mind.
Also
, I would like to
work
in the improvement of actual algorithms in
machine
learning
, maybe in a way to
reduce
those biases which contribute to maintain
some
form of inequity, as gender and racial discrimination.

While I was searching for a
master
degree
that could
allow
me to
join
my studies in psychology with the passion for
data
analysis
, I found this
master
in
Data
Science
and I found it fascinating.
First of all
, it is one of the few
masters
in
Data
Science
in Europe open not
only
for those who have a
degree
in computer
science
and related fields.
Also
, it has
a lot of
courses
I’m interested in,
particularly
those concerning the natural language processing,
machine
learning
, text mining, artificial intelligence, and
so
on. I like the fact that there is a theoretical approach
joined
with the hands-on approach.
Moreover
, I appreciate the intercultural environment with students from all over the world and this is something that can
just
enrich everyone.

Attending this
master
I will have the opportunity to
get
to the heart of the subject and
get
all those competences to become a professional in this multidisciplinary sector. I will
get
a competitive and sought
master
degree
, which could
allow
me to
get
a
good
job in this
area
, not
only
in Italy,
but
also
all around the world. It could give me, in this way, extra gear.

After the
degree
, I would like to
work
as a researcher, both in academia and industry.
Therefore
, continue
first of all
with a PhD,
particularly
I’m interested in
research
in Artificial Intelligence, computational psychology and computational human behavior. What I would like to do is
work
with
data
and turn them into information and
knowledge
, find associations, correlations, links, learn and
make
predictions from them. I want to become a
data
scientist.
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IELTS essay write a statement of purpose explaining your background and the motivation for applying to a master course in data science

Essay
  American English
9 paragraphs
848 words
5.5
Overall Band Score
Coherence and Cohesion: 5.0
  • Structure your answers in logical paragraphs
  • ?
    One main idea per paragraph
  • Include an introduction and conclusion
  • Support main points with an explanation and then an example
  • Use cohesive linking words accurately and appropriately
  • Vary your linking phrases using synonyms
Lexical Resource: 5.0
  • Try to vary your vocabulary using accurate synonyms
  • Use less common question specific words that accurately convey meaning
  • Check your work for spelling and word formation mistakes
Grammatical Range: 6.5
  • Use a variety of complex and simple sentences
  • Check your writing for errors
Task Achievement: 5.0
  • Answer all parts of the question
  • ?
    Present relevant ideas
  • Fully explain these ideas
  • Support ideas with relevant, specific examples
Labels Descriptions
  • ?
    Currently is not available
  • Meet the criteria
  • Doesn't meet the criteria
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