To,
The Admission Committee, Astana IT University
In 2024, when floods swallowed entire villages across Pakistan, the biggest killer was not
water - it was the absence of data. Relief never reached thousands of affected citizens
not because help did not exist, but because no one knew where they were. My name is
Khubaib Khan, and I am writing to apply for the Bachelor of Science in Big Data Analysis
(6B06103) at Astana IT University through the Kazakhstan Government Scholarship. This
program trains specialists in data analysis, machine learning, Python programming, and
the development of data systems for large organisations including government and
national institutions - precisely the skills needed to solve the data crises I have witnessed
firsthand in my country.
I completed my higher secondary education (FSc) with a specialisation in ICS (Informatics
and Computer Science) - a deliberate choice I made despite having studied Biology in
Matriculation, because computer science is the field that genuinely drives me. I ranked
3rd in my entire school in Matriculation, securing 1052 out of 1200 marks (87.6%). In FSc
Part 1, I achieved 532 out of 600 marks, making me 1st among all science students in my
class. My FSc curriculum included C++, Database Management using MS Access, and
core mathematics - subjects that directly align with the program's foundational courses
in Algorithms and Data Structures, Database Management Systems, and Computational
Mathematics. Beyond my formal studies, I also began learning Python through the wellknown coding channel CodewithHarry on YouTube, which gave me a foundational
understanding of Python syntax, logic, and basic data operations. This self-directed
learning has given me an early start on the program's core Statistics and Data Science
modules taught entirely in Python, and reflects my habit of learning beyond what the
classroom requires.
Beyond academics, I have built practical technical skills through two key programmes. I
completed a certified Game Development course at Pak-Austria Fachhochschule, where
I designed and built a working endless-runner game using Unity and C++. C++ is a
language central to high-performance computing and data engineering, and this
experience gave me a strong programming foundation I continued strengthening
throughout my FSc studies. I also participated in an intensive Robotics Training
Programme conducted by a recognised German NGO (Deutsche Zusammenarbeit) and
International Medical Corps (IMC). The components required to build our Arduino-based
car were unavailable locally, and we had only three days to deliver a working model.
Despite this pressure, our team sourced every part, assembled the hardware, wrote and
tested the full programme, and presented the only fully functional project in the entire
batch. The real challenge was not the hardware - it was making the sensors collect and
respond to data correctly in real time. That experience confirmed to me that data
processing is the foundation of every intelligent system.
The reason I am particularly drawn to Astana IT University goes beyond its curriculum.
The university has established formal partnerships with global technology leaders
including Huawei, Cisco, Apple, and Oracle, giving students direct access to industry-
specific training, certification programmes, and modern laboratories built with these
companies. The university also operates dedicated research and innovation centres in
Smart City, Big Data, and Blockchain Technologies, and its faculty actively collaborate
with institutions such as Boston University and George Washington University through
scientific externships and joint research projects. I am especially drawn to the major
discipline modules including Applied Machine Learning, Big Data and Distributed
Algorithms, Information Retrieval and Data Mining, Natural Language Processing, and the
two-part Statistics and Data Science series taught entirely in Python. The program is
completed in three years with high-intensity practical training, meaning I will graduate jobready faster than a conventional programme. As fellow members of the Economic
Cooperation Organisation (ECO), Pakistan and Kazakhstan share strong regional ties,
and I intend to contribute to the university community through collaborative research and
active engagement during my studies.
My long-term career goal is to work as a Data Scientist and Big Data Engineer - two of
the specialist positions this program directly prepares graduates for - building affordable
data management and analysis systems for public institutions and small businesses
across ECO member nations. The sectors where this program trains graduates to work
- banks, insurance companies, government and national organisations - are exactly
the sectors in Pakistan where poor data management causes the most damage and costs
the most lives. I also plan to establish free mentorship programmes for students who, like
me, are teaching themselves programming through self-study but lack access to formal
training. Every professional I help develop becomes a multiplier of this mission. Asia does
not lack talent - it lacks organised data infrastructure and the trained people to build it. I
want to dedicate my career to building both.
I am fully committed to this path and to giving back to Kazakhstan - a country that will
have invested in me - through collaborative research, active participation in the
university community, and the regional partnerships I carry forward after graduation. My
academic record, practical experience, and self-directed study of Python through
CodewithHarry reflect both my ability and my determination. I ask the Selection
Committee for the opportunity to prove what I am capable of.
Yours sincerely,
Khubaib Khan
The Admission Committee, Astana IT University
In 2024, when floods swallowed entire villages across Pakistan, the biggest killer was not
water - it was the absence of data. Relief never reached thousands of affected citizens
not because help did not exist, but because no one knew where they were. My name is
Khubaib Khan, and I am writing to apply for the Bachelor of Science in Big Data Analysis
(6B06103) at Astana IT University through the Kazakhstan Government Scholarship. This
program trains specialists in data analysis, machine learning, Python programming, and
the development of data systems for large organisations including government and
national institutions - precisely the skills needed to solve the data crises I have witnessed
firsthand in my country.
I completed my higher secondary education (FSc) with a specialisation in ICS (Informatics
and Computer Science) - a deliberate choice I made despite having studied Biology in
Matriculation, because computer science is the field that genuinely drives me. I ranked
3rd in my entire school in Matriculation, securing 1052 out of 1200 marks (87.6%). In FSc
Part 1, I achieved 532 out of 600 marks, making me 1st among all science students in my
class. My FSc curriculum included C++, Database Management using MS Access, and
core mathematics - subjects that directly align with the program's foundational courses
in Algorithms and Data Structures, Database Management Systems, and Computational
Mathematics. Beyond my formal studies, I also began learning Python through the wellknown coding channel CodewithHarry on YouTube, which gave me a foundational
understanding of Python syntax, logic, and basic data operations. This self-directed
learning has given me an early start on the program's core Statistics and Data Science
modules taught entirely in Python, and reflects my habit of learning beyond what the
classroom requires.
Beyond academics, I have built practical technical skills through two key programmes. I
completed a certified Game Development course at Pak-Austria Fachhochschule, where
I designed and built a working endless-runner game using Unity and C++. C++ is a
language central to high-performance computing and data engineering, and this
experience gave me a strong programming foundation I continued strengthening
throughout my FSc studies. I also participated in an intensive Robotics Training
Programme conducted by a recognised German NGO (Deutsche Zusammenarbeit) and
International Medical Corps (IMC). The components required to build our Arduino-based
car were unavailable locally, and we had only three days to deliver a working model.
Despite this pressure, our team sourced every part, assembled the hardware, wrote and
tested the full programme, and presented the only fully functional project in the entire
batch. The real challenge was not the hardware - it was making the sensors collect and
respond to data correctly in real time. That experience confirmed to me that data
processing is the foundation of every intelligent system.
The reason I am particularly drawn to Astana IT University goes beyond its curriculum.
The university has established formal partnerships with global technology leaders
including Huawei, Cisco, Apple, and Oracle, giving students direct access to industry-
specific training, certification programmes, and modern laboratories built with these
companies. The university also operates dedicated research and innovation centres in
Smart City, Big Data, and Blockchain Technologies, and its faculty actively collaborate
with institutions such as Boston University and George Washington University through
scientific externships and joint research projects. I am especially drawn to the major
discipline modules including Applied Machine Learning, Big Data and Distributed
Algorithms, Information Retrieval and Data Mining, Natural Language Processing, and the
two-part Statistics and Data Science series taught entirely in Python. The program is
completed in three years with high-intensity practical training, meaning I will graduate jobready faster than a conventional programme. As fellow members of the Economic
Cooperation Organisation (ECO), Pakistan and Kazakhstan share strong regional ties,
and I intend to contribute to the university community through collaborative research and
active engagement during my studies.
My long-term career goal is to work as a Data Scientist and Big Data Engineer - two of
the specialist positions this program directly prepares graduates for - building affordable
data management and analysis systems for public institutions and small businesses
across ECO member nations. The sectors where this program trains graduates to work
- banks, insurance companies, government and national organisations - are exactly
the sectors in Pakistan where poor data management causes the most damage and costs
the most lives. I also plan to establish free mentorship programmes for students who, like
me, are teaching themselves programming through self-study but lack access to formal
training. Every professional I help develop becomes a multiplier of this mission. Asia does
not lack talent - it lacks organised data infrastructure and the trained people to build it. I
want to dedicate my career to building both.
I am fully committed to this path and to giving back to Kazakhstan - a country that will
have invested in me - through collaborative research, active participation in the
university community, and the regional partnerships I carry forward after graduation. My
academic record, practical experience, and self-directed study of Python through
CodewithHarry reflect both my ability and my determination. I ask the Selection
Committee for the opportunity to prove what I am capable of.
Yours sincerely,
Khubaib Khan
