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deen

Data Science in Engineering and Management (B. Eng.)

Grafische Darstellung von Daten, blinkenden Lichtern, Vielzahl an Informationen

Questions? Information for prospective students
  • at the Bachelor Talk on 08.02.2024 at 6 pm with Prof. Oelker and current students. You will soon find the link to the online lecture here on this page. 
  • at the university information day on 23.3.2024 at 10 a.m. - 2 p.m.

 

Data scientists with a graduation certificate from THI not only master the essential methods of data science, they also know the applications in technology and business.
This is what awaits you in this innovative degree programme with excellent career prospects:

In the first semesters, you will receive a solid education in data science (consisting of the three pillars mathematics, statistics and computer science). In parallel, you will acquire basic knowledge from engineering (technology) and management (economics/business). In the higher semesters, this knowledge is brought together by introducing you to data-driven applications in technology and management, such as digital marketing or digital factory. The focus of the degree programme is on the interdisciplinary interaction between data sciences and their applications in both fields.
At our university, all subjects are taught in an applied and less theoretical manner. As a prerequisite for the degree programme, you should have an interest in working with data and be interested in the application fields of data science.



Bachelor of Engineering (B. Eng.)

7 Semester

Winter

Yes Dual Offers

German

Ingolstadt

Contents

Pure data science degree programmes are usually located in the computer science faculties of universities. There, development skills in the field of data analysis are taught first and foremost. Students thus learn to develop algorithms and to programme in specific programming languages. In our Data Science in Technology and Economics degree programme, the focus is not on development skills, but on application skills.

Of course, you will also learn the basics of programming, but the focus is on the application and use of data-driven systems. In addition, your knowledge of technology and business means that you know what Data Science is needed for in companies!

You will be ideally prepared in this degree programme to set up, coordinate and manage data-based projects in companies.
Excellent opportunities, a good salary, responsibility and great job satisfaction await you: in summary, your prospects as a graduate of this degree programme are excellent!

Blurry image

Dat Science in Engineering and …


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Data Science @ THI - in 2 minutes

[Translate to English:]

Visualisation...

... as important tool for communication in Industry 4.0 environments and with customers -

with the use of modern tools and programming languages

Wordcloud...

... Deep Learning - A.I. - Overfitting - Regression - Statistical Learning - Loss function - Supervised Learning

 

Many terms in connection with Data Science - with us you get the grips on them!

Excellent job opportunities...

...Data Scientist turn data into useful information for the company.

 

Demand is increasing worldwide - excellent prospects for you as a graduate!

 

Junge Frau sitzt umgeben von Computerbildschirmen inmitten von Datenströmen/Zahlen/Grafiken

Use case machine data

Is a production machine still in good working order or does it need maintenance?


- Machine data allow a look at the "state of health" of a plant.

Timely detection of anomalies saves costs and conserves resources.

Labor, im HIntergrund Maschine, vorne Hand mit Laptop und Graph/Analyse

Use Case Quality inspection

Is the product still OK?


Machine Learning Algorithms analyse camera images...
      - automatically, reliably, and without fatigue -

             ...and detect defects

Labor, Fräsmaschine, davor Person mit Laptop, auf dem ein technisches Bauteil grafisch dargestellt ist
  1. Visualisation...
  2. Wordcloud...
  3. Excellent job opportunities...
  4. Use case machine data
  5. Use Case Quality inspection
PreviousNext

Curriculum

1. Semester

Mathematics 1

Statistics

Engineering IT

Engineering and Management 1

2. Semester

Mathematics 2

Statistical Modeling

Software Development

Engineering and Management 2

3. Semester

Probability Theory

Applied Machine Learning

Data Engineering

Produkt Development

Marketing and Sales

4. Semester

Elective Module

Practical Deep Learning

Project and Quality Management / Project

Production

Cost and Investment Management

5. Semester

Internship

Scientific Research Methods

6. Semester

Elective Module

General Scientif Module

Ethics in Data Science

Statistical Quality Assurance

Digital Marketing

7. Semester

Bachelor's Thesis

e-SCM (electronic Supply Chain Management)

Digital Factory


Quick Info

Admission and application

Application period for the winter semester is May 2nd to July 15th.

This course is held in German, so you'll need to prove a high level on German language (C1) for your application from abroad. We do not offer in-advance language courses for prospective applicants.. 

Please consider that the online application is only possible in this space of time. Applications that reach the university later than that cannot be taken into consideration.

Please find further information on application for bachelor study courses.  

Job profiles

Data scientists work at the interface between pure data specialists (data analysts and data engineers) and engineers and economists. They know their way around both sides and are therefore ideally suited to set up, coordinate and manage data-driven projects in companies.

Internship

Previous experience is not required for this degree programme.

International

To prepare for your semester abroad or to learn another foreign language alongside your studies, you can take language courses at THI's own Language Center (Sprachenzentrum). The language courses are taught only by native speakers and offered at different levels. All courses are free of charge for our students. For more information please see https://www.thi.de/studium/sprachenzentrum.

THI does not run any student housing – neither on-campus nor off-campus – and therefore cannot provide you with accommodation. Here you can find more information on finding accommodation: Accomodation in Ingolstadt. Please keep in mind that you'll need 700-900 € per month for accomodation and your personal expenses.

Our International Office is established especially for the international academic programs. The International Office provides an all-round service to help you with all necessary prearrangements for the organization of your study and everyday life in Ingolstadt.

Dual studies or studies with in-depth practical

Eine duale Ausbildung ermöglicht eine Kombination aus praktischen Elementen in einem Unternehmen und theoretischer Ausbildung an der Hochschule. Dabei kann entweder das Verbundmodell (Studium & Berufsausbildung) oder der Studiengang mit vertiefter Praxis (Studium und intensive Praxisphasen) gewählt werden. Der Vorteil für Studierende liegt auf der Hand: Mit einer praxisnahen akademischen Ausbildung gestaltet sich der Übergang von Studium in den Beruf meist fließend. Darüber hinaus wird der Studierende vom jeweiligen Unternehmen in der Regel finanziell vergütet und im besten Fall nach Studienabschluss übernommen.

Bitte informieren Sie sich auf unseren Seiten zum Dualen Studium bzw. auf der Suche nach einem Dualen Unternehmenspartner.

FAQs

Why should I study Data Science in Engineering and Management?

Nowadays, there are large amounts of data for every question, but only a few are able to recognise structures in the data and generate useful information. Even fewer people have additionally mastered the basic knowledge of technology and business so that they know what information is important in a company. This is exactly where the Data Scientist in technology and business comes in. Not only do they have the technical expertise, but they are also able to communicate the relevant facts clearly and understandably.

Is the study hard? What does a data science student have to know?

At our university, all subjects are taught in an applied and less theoretical way. As a prerequisite for the degree programme, you should have an interest in working with data and be interested in the application fields of Data Science.

Openness to new technologies - inclination to think analytically - ability to think your way into new problems - flexibility in thinking - curiosity - interest in real-world applications - motivation and initiative, if these are your strengths, you've come to the right place!

With which degree will one finish the programme?

With a Bachelor of Engineering (B. Eng.) - a degree awarded primarily in the engineering sciences and highly regarded both nationally and internationally.

What are the job prospects after graduation?

The consultancy McKinsey recently estimated the global demand for new data scientists at 1.5 million. There are probably few fields of study that are currently and will be in such demand for the foreseeable future as data science. Similar to a classic industrial engineer, you will not only bring expertise in the field of data science with you after this degree, but you will also understand the basics of technology and economics.

What is the difference to a Data Science degree programme without the Engin./Managm.-part??

Pure data science degree programmes are usually located in the computer science faculties of universities. There, development skills in the field of data analysis are taught first and foremost. Students thus learn to develop algorithms and to programme in specific programming languages. In our Data Science in Engineering and Management degree programme, the focus is not on development skills, but on application skills.

Of course, you will also learn the basics of programming, but the focus is on the application and use of data-driven systems. In addition, your knowledge of technology and business means you know what Data Science is needed for in companies!

Contact Student Counselling

All about application, enrollment and examination

Apply online 

Programme director and Academic advisor

Prof. Dr. rer. nat. Martin Oelker
Phone: +49 841 9348-3851
Room: A217
E-Mail: Martin.Oelker@thi.de

Module Handbook

The module handbook is the guide to all modules of the degree programme. It contains information on prerequisites, contents, learning outcomes, ECTS points, duration, work load, literature and references.

For more information please click on the following link:

Modulhandbuch_WS2023_2024

Study and Examination Regulations

Study and examination regulations (SPO) deal with judicial matters concerning your study course. Please turn to the pages of the legal department for Statutes of this course (in German).

For any questions on requirements, exams regulations and more, please turn to the Service Center Study Affairs.

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  • Phone: +49 841 9348-0
  • Mail: info@thi.de

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