Bielefeld University offers a wide range of modern Master’s Programmes. The university is one of the most important German educational institutions and has been chosen as first choice for prospective students by many international research institutes which award national scholarships to the excellent graduates.
If you are looking to attend graduate school or simply want to expand your career opportunities, the time is ripe for you to consider pursuing a master’s degree. A master’s degree can help you achieve your goals by giving you the expertise and credentials that employers seek. We explore Bielefeld University Master’s Programs, bielefeld university masters in computer science, bielefeld university application deadline, university of bielefeld ranking and bielefeld university intelligent systems and more on collegelearners.
When you’re looking for a university program, it’s important to make sure that the school you choose has a strong reputation in its field. While frequently bielefeld university master’s programs will provide information on their universities and programs, you still need to be careful to choose a university that enjoys a strong reputation if you wish to pursue a rewarding professional career. Read on to know more about Bielefeld University Master’s Programs, bielefeld university masters in computer science, bielefeld university application deadline, university of bielefeld ranking and bielefeld university intelligent systems.
In this article, we’ll look at how to do that when choosing your university.
While frequently bielefeld university master’s programs provides information on their universities and programs, you still need to be careful to choose a university that enjoys a strong reputation if you wish to pursue a rewarding professional career.
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Bielefeld University Master’s Programs
We begin with Bielefeld University Master’s Programs, bielefeld university masters in computer science, bielefeld university application deadline, university of bielefeld ranking and bielefeld university intelligent systems.
The courses offered at Bielefeld University
| Degrees | |
|---|---|
| Bachelor | |
| Master of Arts / Science | Courses without teaching option | BioMechatronics |
| Master of Arts / Science | Courses without teaching option | Biophysics |
| Master of Arts / Science | Courses without teaching option | British and American Studies |
Master-level studies involve specialized study in a field of research or an area of professional practice. Earning a master’s degree demonstrates a higher level of mastery of the subject. Earning a master’s degree can take anywhere from a year to three or four years. Before you can graduate, you usually must write and defend a thesis, a long paper that is the culmination of your specialized research.
Earning a Master requires two years of education after earning a Bachelor. This advanced degree may help students to achieve their educational and professional goals, as the rigors of a Master’s program help train students in the skills and knowledge they need to land the career of their dreams.
Erasmus Mundus Master in Models and Methods of Quantitative Economics QEM
Master Economics: Erasmus Mundus Master QEM – Models and Methods of Quantitative EconomicsBielefeld, Germany +3 MoreMaster Erasmus Mundus Models and Methods of Quantitative Economics (QEM) is the European Union approved international graduate degree programme taught full-time over two years in France, Germany, Italy and Spain. –
bielefeld university masters in computer science
Now we consider bielefeld university masters in computer science, bielefeld university application deadline, university of bielefeld ranking and bielefeld university intelligent systems.
Masterstudiengang Data Science (M.Sc.)
The Master’s programme in Data Science (taught completely in English) is intended to give interested students the opportunity to consolidate and deepen their knowledge in the field of statistics and information technology at a demanding level. The students are trained interdisciplinary: classical statistical methods, programming, database systems and methods of machine learning form the methodological framework. This is supplemented by practical courses, e.g. in the areas of statistical consulting and business analytics, research-related events such as a research colloquium and courses dealing with ethical, legal and social impacts.
The following is a detailed description of the structure of the Master’s programme in Data Science:
Current information on the Master’s programme in Data Sciences can also be found on the university’s information pages. There you will find the subject specific regulations (FsB) and the courses offered in the eKVV under the heading ‘Navigation’. Further information can be found in the module list.
The four-semester Master’s programme can only be taken up in the winter semester. It is divided into a socket phase and a profile phase. Due to the interdisciplinary orientation of the course of studies and the associated, differently acquired first university degrees of the students, the socket phase is composed of differently oriented introductory modules. Under certain conditions, credit points can be earned for internships. The students write their master thesis on a topic in the field of data science. Graduates are awarded the title of Master of Science (M.Sc.).
Structure of the socket phase
Due to the interdisciplinary orientation of the degree programme and the different competences of beginning students associated with it, the socket phase (variant 1 and variant 2) is made up of differently oriented introductory modules. Variant 1 is aimed at students with a Bachelor’s degree in the field of economics and statistics or comparable courses of study. Variant 2 is generally aimed at students with a bachelor’s degree in computer science or comparable courses of study.
Structure of the profile phase
In the profile phase, all students deal intensively with basic statistical and information technology methods and deepen their knowledge in specific areas, depending on their interests, in order to acquire a versatile spectrum of methods of statistical and information technology methods and on the other hand to adopt the special perspectives of the individual application areas.
Studies abroad can be easily integrated into the Master’s programme in the compulsory optional part II and/or III by prior arrangement (e.g. through a Learning Agreement).
The students write their master thesis on a topic in the field of data science.
Literature recommendations for R and Python
The following literature can be helpful in the preparation of your studies:
- Verzani, John. (2014). Using R for introductory statistics. The R Series (2. ed.). Boca Raton, Fla. [u.a.]: CRC Press, Taylor & Francis.
- Verzani, John. (2002). “simpleR– Using R for Introductory Statistics.” http://www.math.csi.cuny.edu/Statistics/R/simpleR.
- Toomey, Dan. (2017). Jupyter for data science. Birmingham ; Mumbai: Packt.
- VanderPlas, Jake. (2016). Python data science handbook (First edition.). Beijing; Boston; Farnham; Sebastopol; Tokyo: O’Reilly.
Student Counselling Service
Dr. Basil Ell
Dr. Nina Westerheide
| E-Mail: | datascience@uni-bielefeld.de |
| Telefon: | +49 521 106-2951 or -3822 |
| Büro: | CITEC 2-311 or U3-148 |
| Office hours: | by appointment |
bielefeld university application deadline
More details coming up on bielefeld university application deadline, university of bielefeld ranking and bielefeld university intelligent systems.
Dates
| Semester start | 01.10.2022 |
| Semester end | 31.03.2023 |
| Courses start | 10.10.2022 |
| Courses end | 03.02.2023 |
| University closed between | to be announced |
| Christmas break (Courses) | 2016-2023 (in German) |
Re-enrolment deadlines
Please note that the semester fee must hit our account (value date) within the prescribed period.
| Re-enrolment for winter semester 2021/22 | from approx. mid-July – 31.08.2022 |
Application Deadlines
| Applicants with foreign degrees | |
| Application deadline for winter semester 2021/22 | 01.06. – 15.07.2022 |
| Exception: Master Quantitative Economics | 01.04. – 15.07.2022 |
| Bachelor programmes / State examination | |
| Study programmes with admission restriction (in the case of applications via hochschulstart.de, the application may also be submitted earlier) | 01.06. – 15.07.2022 |
| Study programmes without admission restriction | 16.07. – 15.11.2022 |
| Medicine / Centralised process (Please note deviating deadlines for “Alt-Abiturienten” (graduates of previous years in the German school system) as well as the registration deadlines for the entrance test for medicine programs (only applicable for graduates of the German school system). | Dates of the SfH |
| Professionally qualified | 01.01. – 01.04. of the year |
| Lottery | 01.09. – 15.09.2022 |
| Master’s programmes | |
| Master of Arts/ Science (admission free & restricted) | Deadlines for M.A./ M.Sc. |
| Master of Education | 01.06. – 15.07.2022 |
| Lottery | 01.09. – 15.09.2022 |
| Application for a higher semester | |
| Applications to be placed into a higher semester according to § 63a, Section 4 HG are to be submitted to the responsible faculty by August 15th for the winter semester and by February 15th for the summer semester (exclusion deadline). | |
| Bachelor of Arts/ Science/ State Examination Medicine (admission restricted) | 01.08. – 15.09.2022 |
| Bachelor of Arts/ Science (admission free) | 01.08. – 15.11.2022 |
| Master of Arts/ Science (admission free & restricted) | 01.08. – 15.09.2022 |
| Master of Education | 01.06. – 15.07.2022 |
| Application / Registration for University Change Students, Drop-outs (with admission restriction) | 01.08. – 15.09.2022 |
| Admission for | |
| Occasional students, Cross-registered students in admittance free courses | 01.08. – 15.11.2022 |
Enrolment Deadlines
for admission free study programmes
| Enrolment for winter semester 2022/23 | 16.07. – 15.11.2022 |
Formal application is also always required for programmes without admission-restriction (BA & MA). For programmes with restricted admission, the respective enrolment period will be communicated to you separately by email in the notification of admission.
university of bielefeld ranking
Bielefeld University is ranked 166 in World University Rankings by Times Higher Education and has an overall score of 3.7 stars, according to student reviews on Studyportals, the best place to find out how students rate their study and living experience at universities from all over the world.
Student reviews are key for international students who are looking for a university that meets their expectations. The reviews help them make informed decisions about where to study abroad, allowing them to choose from over 3,000 universities worldwide.
Bielefeld University was established in 1967 and is based in Bielefeld, Germany. It has over 20,000 students enrolled across its faculties of Humanities, Natural Sciences and Mathematics, Economics & Business Administration, Law and Social Sciences.
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bielefeld university intelligent systems
The aim of the master degree program Intelligent Systems is to convey knowledge and skills that enable students to analyse, design and develop complex cognitive systems. Students are guided increasingly to work independently following scientific principles and methodologies. The program is explicitly designed to convey practical skills and abilities.A Double Degree Master Programme between the Master in Computer Science (University of Bologna) and the Master in Intelligent Systems (Bielefeld University) has been established. Up to five selected students will spend their third semester (and optionally also the fourth semester for the Master’s thesis) in Bologna and if they successfully complete their studies they will obtain both the Laurea Magistrale in Informatica delivered by the University of Bologna and the Master of Science in Intelligent Systems.
Module Structure
Matriculation from Winter Semester 2016/2017
Double Degree Program (Matriculation from Winter Semester 2015/2016)
The aim of the master degree program Intelligent Systems is to convey knowledge and skills that enable students to analyse, design and develop complex cognitive systems. Such cognitive systems are characterized by the fact that they can perceive their environment and react accordingly in an intelligent manner. Another significant feature of these intelligent systems is their ability to learn and to thereby adapt to complex and changing environments, requirements and users. Such systems are especially relevant in the areas of robotics, virtual agents, multimedia and web information systems. Students are guided increasingly to work independently following scientific principles and methodologies. The program is explicitly designed to convey practical skills and abilities.
Industry, service providers, and intelligent systems research create a large demand for computer science specialists with an interdisciplinary training as facilitated at Bielefeld University. Computer science specialists with a background in Intelligent Systems are needed urgently in all areas where robots, intelligent assistants, virtual agents (avatars) or intelligent information systems are being developed. Possible areas of employment are therefore e.g. in mechanical engineering, production, the motor car industry, the media as well as in the development of autonomous systems (robots, avatars, dialog systems, intelligent assistants), the computer game industry and scientific research. Structure
To allow an individual specialization of the study program students can choose appropriate modules from the subjects “Basic Addition”, “Advanced Intelligent Systems” and “Interdisciplinary and Cognition Basics”. During the second term the module “Basic Project Intelligent Systems” should be taken. Within this module two practical projects have to be conducted containing 5 CP respectively and should be carried out to a predominant extent independently by the student. At least one project is done in a team consisting of more than two students. In the project module of the third term students expand their practical skills necessary for the design of intelligent cognitive systems. They practice and develop the skills necessary for planning and carrying out projects on their own. The master thesis provides students with the opportunity to investigate a scientific problem and to develop an appropriate approach independently. They gain skills necessary for the planning, implementation and evaluation of experiments as well as documenting results in line with scientific practice.
This program has an English-speaking branch which guarantees that courses will be offered to students not speaking German. A list of english study modules can be found in Service. Commands in English are veryfied by a language test (TOEFL (iBT) with a minimum of 87 points or telc English with a minimum grade of B2). The Faculty of Technology will not incur any expenses for German courses for international students. Application
Application is possible only for winter terms. You may apply online. Due to the Corona pandemics application dates may be changed. Look up actual application dates in the following list.
Application requires uploading the following documents as PDF or JPG files:
- Your academic certificates or provisional credentials of accomplishments (requirements: at least 40 credit points (ECTS) in the area of basic computer science and at least 30 additional credit points in courses relevant for intelligent systems, at least a minimum of 120 credit points in a preliminary certificate, certificates for German or English knowledges if the bachelor degree is not from a German or English speaking institution)
- Your transcript of records
- Your CV
- Application
Recognition of Study Achievements (in German)
Die Anerkennung von Leistungen und die Einstufung in ein höheres Fachsemester erfolgt nach einem einheitlichen Verfahren für alle Studiengänge.
- Erläuterungen zur Anerkennung und Einstufung
- Antragsformulare
Bitte beachten Sie, dass eine Einstufung NICHT einer Zulassung zu einem Studiengang entspricht. Hinweise zur Bewerbung für ein höheres Fachsemester finden Sie auf den Seiten des Studierendensekretariats.
DegreeMaster of ScienceTeaching language
- English
Languages
This programme has an English-speaking branch which guarantees that courses will be offered to students not speaking German. A list of English study modules can be found on the course website under “Service.”Programme duration4 semestersBeginningWinter semesterApplication deadline
Requirements
Qualification Requirements
Previous Degree
Bachelor’s degree (or equivalent). A qualified degree comprises:
- At least 40 credit points in basic subjects of computer science (mathematics, algorithms and data structures, theoretical computer science, computer architecture, etc.), and
- At least 30 credit points in subjects that are relevant for intelligent systems, such as e.g. artificial intelligence, language processing, signal processing, pattern recognition, robotics, behavioral/developmental/cognitive psychology, neuro/behavioral biology, or neuroinformatics.
Minimum standard period of study: 6 semesters.GPA Rate 3.00GPA Comment
It’s not a requirement, but a lesser GPA than 3 won’t get you a good score for the admission process.
Bielefeld University is a top university in Germany and the only university in the city of Bielefeld. The university has been ranked 166 in World University Rankings by Times Higher Education and has an overall score of 3.7 stars, according to student reviews on Studyportals, the best place to find out how students rate their study and living experience at universities from all over the world.
The university was founded in 1975 as a result of a merger between several colleges, including what had been known as the Bielefeld University of Applied Sciences since 1971.
In addition to its main campus in Bielefeld’s city center, Bielefeld University has sites in nearby cities such as Detmold and Paderborn.
Bielefeld University is known for offering degrees in business administration, engineering, law, economics, psychology and media studies as well as other subjects such as English language studies or history.
According to Times Higher Education’s 2019 World University Rankings, Bielefeld University is ranked 166th globally among 1,250 institutions worldwide and 22nd nationally among 105 German universities.
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