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study.html
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<!DOCTYPE html>
<html lang="en">
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<div>Bachelor Study</div>
</div>
<hr class="colored">
<p>
Data Science is an art worth learning. Why?
</br>
<a class="page-scroll" href="#submenu"><b>Scroll down to find out.</b></a>
</p>
</div>
<div class="scroll-down">
<a class="btn page-scroll" href="#submenu"><span class="fa fa-chevron-circle-down fa-2x"></span></a>
</div>
</header>
<section id="submenu">
<div class="container row text-center wrap wow fadeIn">
<h1>Bachelor Study</h1>
<div class="info col-md-6">
<p>
In a world that is changing more rapidly than ever, the digital universe is expanding even
faster. By 2020 there will be nearly as many digital bits of data as there are stars in the
universe.
</p>
<p>
It is doubling in size every two years, and by 2020 the digital universe – the data we
create and copy annually – will reach 44 zettabytes, or 44 trillion gigabytes. To manage this
huge pile of data and to keep our digital environment under control, it is of vital importance
that data engineers guide us through the ever expanding maze of data.
</p>
<p>
The <a href="datascience.html#submenu">field of data science</a> is becoming more and more important.
</p>
</div>
<div class="info col-md-6">
<p>
The TU/e offers you a great opportunity to become one of these much-needed analytic superheroes.
On this page you can find anything you want to know about the study of Data Science at Eindhoven
University of Technology.
</p>
<p>
Take a look at the <a class="page-scroll" href="#curriculum">course program</a>
or read more about the <a class="page-scroll" href="#faculty">faculty</a>. Don't forget to check the
<a class="page-scroll" href="#admission">admission</a> requirements.
</p>
</div>
</div>
<nav class="nav">
<ul>
<li><a class="page-scroll" href="#curriculum">Curriculum</a></li>
<li><a class="page-scroll" href="#electives">Electives</a></li>
<li><a class="page-scroll" href="#group">Group projects</a></li>
<li><a class="page-scroll" href="#faculty">Faculty</a></li>
<li><a class="page-scroll" href="#admission">Admission</a></li>
</ul>
</nav>
</section>
<section id="curriculum" class="bg-gray">
<div class="container text-center wow fadeIn row wrap">
<span class="fa fa-calendar fa-4x"></span>
<h2>Curriculum</h2>
<div class="col-md-4">
<div>
<h4>Courses</h4>
<p class="info">
The bachelor program of Data Science is carefully designed to give you, as a Data Scientist in
spe the best possible basis for a successful further career.
</p>
<p class="info">
Your study will consist of three
years of four quartiles each. In turn, every quartile includes 2 major learning blocks which
will treat different aspects of the Data Science field and train basic skills in an in-depth
manner.
</p>
<p class="info">
The subjects in these learning blocks can belong to 4 different categories; Data
Courses, Math & Statistics, Programming and Electives.
</p>
</div>
<div>
<h4>Data Courses</h4>
<p class="info">
The core of Data Science is to extract knowledge from information or large bundles of data. Basic
skills from various related disciplines will be trained by the Data Courses to ensure that these
core abilities are of an adequate level.
</p>
</div>
</div>
<div class="col-md-4">
<div>
<h4>Math & Statistics</h4>
<p class="info">
All <a href="datascience.html#maths">mathematical skills</a> that are needed to successfully conduct data analyses will be treated in
these Maths & Statistics courses.
</p>
</div>
<div>
<h4>Programming</h4>
<p class="info">
The Programming courses will focus on designing, understanding and being able to construct
applications that process data. Apart from that, you will also pay attention to the presentation
of data, like websites, infographics or implementation in social media. Together with the data courses,
these courses teach <a href="datascience.html#computer">computer science skills</a>.
</p>
</div>
<div>
<h4>Electives</h4>
<p class="info">
The electives could cover fields of Data Science that have been left out of the major curriculum.
Students can choose electives while they take career possibilities into consideration. For
example, if you are interested in scientific research, you could take Research Methodology as an
elective. For more information about electives, visit the
<a class="page-scroll" href="#electives">electives</a> page. In electives, mainly
<a href="datascience.html#domain">domain specific</a> knowledge is taught.
</p>
</div>
</div>
<div class="col-md-4">
<div>
<h4>Group projects</h4>
<p class="info">
At the end of every year there is a mandatory
<a class="page-scroll" href="#group">group project</a>, to put freshly learned skills into practice.
Also, some courses, especially in later years, may require knowledge from an earlier course or even
multiple courses.
</p>
<p class="info">
For example, to successfully attend the Data Structures course, you should have passed the
Introduction to Data Science first. All pre-requisite relations are shown in the diagram. Finally,
to assure a proper basis is achieved, some fundamental aspects of Data Science span across two
quartiles.
</p>
<p class="info">
The whole schedule of the <a class="page-scroll" href="#submenu">Data Science Bachelor</a> can be found below. Hoover over any major course to find an explanation.
</p>
</div>
</div>
</div>
</section>
<section id="course-overview">
<div class="container text-center wow fadeIn row wrap">
<div class="years row content-row">
<div class="col-md-4">
<div id="year-1" class="year">
<h5>Year 1</h5>
<div class="left">
<div class="subject hx2 mathe">
<p>Mathematics</p>
<aside>
<p>
This course will cover all the basics in the Data Science area Mathematics &
Statistics. In this course you will learn basic mathematical skills and take a
first
peak at the endless possibilities that the mathematical world can offer you.
</p>
<p>
Apart from just only learning theory, you will also get the chance to apply your
knowledge
by making your own model.
</p>
</aside>
</div>
<a href="#electives" class="page-scroll">
<div class="subject elective">
<p>Elective</p>
</div>
</a>
<a href="#group" class="page-scroll">
<div class="subject groupproject">
<p>Group Project</p>
</div>
</a>
</div>
<div class="right">
<div class="subject data">
<p>Introduction to Data Science</p>
<aside>
<p>
This course lays the foundation to all Data courses in the bachelor. Basic topic
in this field will be introduced alongside some statistics that will be needed
in the Data Structures course.
</p>
</aside>
</div>
<div class="subject hx2 programming">
<p>Programming</p>
<aside>
<p>
If you know how to code, you can create your own world of everything. That is
the motto of the Programming course. Various code languages, that can be used to
fulfill different purposes will be introduced and brought into practice.
</p>
</aside>
</div>
<div class="subject data">
<p>Data Structures</p>
<aside>
<p>
In this course you will be taught how to structure data efficiently. Also, you
will be introduced to algorithms and how to work with them along with paying
closer attention to data types, compilers, databases and hash tables.
</p>
</aside>
</div>
</div>
</div>
</div>
<div class="col-md-4">
<div id="year-2" class="year">
<h5>Year 2</h5>
<div class="left">
<div class="subject mathe">
<p>Statistics & Research Methodology</p>
<aside>
<p>
This course combines data with research, as it is not only important to know how
to handle data, but also how to do so in a research context. Additionally, you
will learn more about statistics, so you will become a true masters of the
stats.
</p>
</aside>
</div>
<div class="subject data">
<p>Data Management</p>
<aside>
<p>
In this course, you will focus on managing big chunks of data. Most data is
subjected to strict rules and has to be treated carefully because it might
contain valuable or important information. Therefore, also data security is an
important factor in this course.
</p>
</aside>
</div>
<div class="subject data">
<p>Data Mining & Information Retrieval</p>
<aside>
<p>
In this course you will be taught several techniques to find relevant
information. You will learn how to find meaningful patterns in this information.
Afterwards, you will be trained apply you knowledge of this topic, for instance
in personal recommendation systems.
</p>
</aside>
</div>
<a href="#electives" class="page-scroll">
<div class="subject elective">
<p>Elective</p>
</div>
</a>
</div>
<div class="right">
<div class="subject mathe">
<p>Linear Algebra</p>
<aside>
<p>
To complement your mathematical knowledge from the first block, this course will
treat basic algebraic topics, which you will need in a lot of technical
environments rather frequently. You will primarily learn about vectors,
vectorial calculations and functions.
</p>
</aside>
</div>
<div class="subject programming">
<p>Web Technology</p>
<aside>
<p>
In this course, you will extend your programming skills, this time mainly
related to the web and online structures. This course also includes programming
topics with regard to information management and an introduction to databases.
</p>
</aside>
</div>
<a href="#electives" class="page-scroll">
<div class="subject elective">
<p>Elective</p>
</div>
</a>
<a href="#group" class="page-scroll">
<div class="subject groupproject">
<p>Group Project</p>
</div>
</a>
</div>
</div>
</div>
<div class="col-md-4">
<div id="year-3" class="year">
<h5>Year 3</h5>
<div class="left">
<a href="#electives" class="page-scroll">
<div class="subject elective">
<p>Elective</p>
</div>
</a>
<a href="#electives" class="page-scroll">
<div class="subject elective">
<p>Elective</p>
</div>
</a>
</div>
<div class="right">
<div class="subject data">
<p>Data Analysis</p>
<aside>
<p>
The Data Analysis course builds on the Data Mining course and extends the
knowledge of how to find meaning in information. This course will also introduce
you to Big Data and focusses on the analysis of this kind of data.
</p>
</aside>
</div>
<div class="subject data">
<p>Data Visualisation</p>
<aside>
<p>
When the data process is finished and the results are in, there is yet one step
left to undertake: to communicate the results and data to the principal or
client. In this course you will be taught how to visualize data quite
extensively, but also how to communicate your findings through infographics or
clear schemes and tables.
</p>
</aside>
</div>
</div>
<a href="#group" class="page-scroll">
<div class="subject hx2 wx2 groupproject">
<p>Group Project</p>
</div>
</a>
</div>
</div>
</div>
</section>
<section id="electives" class="bg-gray">
<div class="container text-center wow fadeIn row wrap">
<span class="fa fa-pencil-square fa-4x"></span>
<h2>Electives</h2>
<div class="intro">
<p>
The <a class="page-scroll" href="#submenu">bachelor study of Data Science</a> provides a good basis for everyone wishing to become a data
scientist, but data Science has many fields of research. So many, that some disciplines within
Data Science are not covered by the standard bachelor program, because we simply cannot fit the
extensive domain of Data Science in a 3-year study.
</p>
<p>
However, different <a href="careers.html#submenu">careers</a> can require different knowledge. For example, a career path in business
requires skills in law and economics, while conducting data research requires more methodological and
skills. Furthermore, the remaining subjects are very interesting as well. Therefore, you can make your
choice from a selection of elective courses that can prepare you for your master or can broaden
your scientific horizon.
</p>
<p>
Here you can find information about 6 of the most popular electives:
</p>
</div>
<div class="col-md-4">
<div class="elective">
<h4>Communication Technology</h4>
<p class="info">
The elective Communication Technology will focus more in depth on computer- and communication
networks and software which enables users to access, store, transmit, and manipulate
information.
</p>
</div>
<div class="elective">
<h4>Business</h4>
<p class="info">
A company is always in need of someone who can take care of the facts and figures. Whether it is
keeping track of the financial side or trying to improve production processes, a Data Scientist
can always do the job. The Business elective will focus on the economic side of Data Science and
other company-related disciplines.
</p>
</div>
</div>
<div class="col-md-4">
<div class="elective">
<h4>Research & Methodological skills</h4>
<p class="info">
To conduct proper scientific research it is of vital importance that you can process and analyse
big piles of data that are results of your research or experiments. The elective course Research
& Methodological skills will learn you how to use tour Data Science skills to solve the big
questions of today’s complicated world.
</p>
</div>
<div class="elective">
<h4>Advanced Modelling</h4>
<p class="info">
In all sciences and industries where it is too expensive to spontaneously test adaptions in
existing systems, models have to be made to predict what will happen and what should be done to
optimize that system. To make valid assumptions and an adequate prediction of the future, there
needs to me sufficient data from the present. In Advanced Modelling you will practice using and
creating models and incorporating numbers and figures into them.
</p>
</div>
</div>
<div class="col-md-4">
<div class="elective">
<h4>Bioinformatics</h4>
<p class="info">
Bioinformatics is an interdisciplinary field that develops methods and software tools for
understanding biological data. In this elective you will learn to analyse biological data
structures like DNA, chromosomes or about the structure of diseases.
</p>
</div>
<div class="elective">
<h4>Social Media</h4>
<p class="info">
Nowadays, Social Media claims a large part of our lives and has therefore become an important
factor in the day-to-day world, but also in data analysis, because it provides companies and
governments with useful information. In the Social Media elective, you will learn how you can
extract data from social media like facebook, youtube or twitter and use this data to draw
relevant conclusions.
</p>
</div>
</div>
</div>
</section>
<section id="group">
<div class="container text-center wow fadeIn row wrap">
<span class="fa fa-users fa-4x"></span>
<h2>Group projects</h2>
<div class="info col-md-6 nofloat">
<p>
All of the three bachelor years that are part of the <a class="page-scroll" href="#submenu">Data
Science study</a> contain a group project at the end. These projects are designed to put all the
skills that you have learned throughout the year into practice. Group projects also form an
opportunity to refresh your knowledge from earlier years without having to do the whole course
again.
</p>
<p>
Besides the learning aspect, group projects also contribute to your academic network; you will
get to know your fellow-students better, but you will also get into contact with companies.
</p>
</div>
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</section>
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<h2>Faculty</h2>
<div class="info col-md-4">
<p>
The <a class="page-scroll" href="#submenu">study of Data Science</a> is part of the faculty of
Mathematics and Computer Science. This department is a meeting spot for motivated students,
lecturers and researchers.
</p>
<p>
High-calibre students are trained to become even better engineers and
pioneering scientific research and our in-depth knowledge of mathematics and computer science
enables us to find innovative solutions to fundamental issues that exist within society.
</p>
<p>
As part of Brainport, the 'smartest' region of the world, our faculty also enters into special
collaborative partnerships with companies and government authorities. This enables us to provide
exceptional future prospects to you as a potential student or to those who collaborate with us.
</p>
</div>
<div class="info col-md-4">
<p>
The study of Data Science will be part of GEWIS, the study association of the Department of
Mathematics and Computer Science. GEWIS is there for you as a student:
</p>
<p>
The association provides
the department's introductory week and organizes conferences, sports tournaments, excursions (to
far-flung international destinations), and you can also purchase books cheaply through the
association.
</p>
<p>
It therefore provides you with a multitude of benefits and gives you the
opportunity to explore student life, get involved in management tasks or make friends for
life.
</p>
</div>
<div class="info col-md-4">
<p>
The students in GEWIS can influence the course program and can interfere in the further
day-to-day matters of the department.
</p>
<p>
The association has its own room where you can drop in at
lunchtimes and during the weekly social, whether to socialize or to discuss more serious
matters. For more information about the study association you can visit the
<a href="www.gewis.nl/en/" class="external">GEWIS website</a>.
</p>
<p>
The TU/e is an excellent host of all these academic activities. Find out more about university-life on
the <a href="university.html#campus"> campus </a> page.
</p>
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<span class="quote">The Metaforum</span>
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<a class="btn btn-outline-light page-scroll external"
href="https://www.tue.nl/universiteit/bibliotheek/praktische-informatie/faciliteiten-bibliotheek-metaforum/">
Learn more
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<h2>Admission</h2>
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<p>
Not everyone can enroll in the <a class="page-scroll" href="#submenu">Data Science bachelor</a>
at the TU/e. If you want to study Data Science, you should have completed secondary education
relatively well. As secondary education is not the same everywhere in the world, the
requirements differ from country to country.
</p>
<p>
Below the requirements for some countries can be found. Please refer to the
<a href="https://www.tue.nl/en/education/studying-at-tue/admission-and-enrollment/undergraduate-programs/" class="external">
official TU/e admission website</a> for a more detailed overview.
</p>
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<h4>The Netherlands</h4>
<p>VWO diploma, including wiskunde B</p>
</div>
<div class="col-lg-2">
<h4>The United States of America</h4>
<p>High school diploma with average GPA of 4 or higher, including calculus AB</p>
</div>
<div class="col-lg-2">
<h4>Belgium</h4>
<p>ASO diploma of wiskunde and/or wetenschappen-profiles</p>
</div>
<div class="col-lg-2">
<h4>France</h4>
<p>Baccaulaureate Serie S</p>
</div>
<div class="col-lg-2">
<h4>Germany</h4>
<p>Abitur including LK Mathematik</p>
</div>
<div class="col-lg-2">
<h4>England</h4>
<p>Secondary school diploma with A level grade in mathematics and at least one other A level
grade</p>
</div>
</div>
</div>
</section>
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