B.Sc. Data Science: Examination Regulations 2016

The bachelor thesis generally forms the end of the study program. However, it can also be started before all modules have been completed. The students independently look for a topic in the department, work on it under the guidance of the examiner and finally submit a written elaboration on the topic. The processing time is 6 months. After submitting the written work, the student also gives a short presentation on the contents of the work.

Interdisciplinary key qualifications enable a small view outside of one's own studies. Here you can attend courses that are not otherwise integrated into your studies, such as language courses, courses on legal matters, etc. In the Bachelor's program you have to take 2 interdisciplinary key qualifications.

The following time limits must be observed for the study program:

• The orientation examination must have been passed by the end of the 3rd semester (including possible repeat attempts).
• The study program must be completed after 12 semesters at the latest.

The orientation exam is the first temporal hurdle in the study program. Its purpose is - as the name suggests - to help students decide at an early stage whether they can successfully complete their studies or whether a change of direction would be advisable. Early means that the orientation exam must be passed by the end of the 3rd semester at the latest. The orientation exam includes the following modules in the Data Science program:

• Introduction to Data Science (6 ECTS)
• Programming and Software Development (9 ECTS)

If these two modules are passed, the orientation exam is also passed.

Compulsory subjects must be taken by all students - without exception. The compulsory subjects include the so-called basic modules, i.e. the absolute fundamentals of the subject, and the so-called core modules, which build on the fundamentals and deepen them. The compulsory subjects include

• the basic modules
  • Datenstrukturen und Algorithmen
  • Einführung in Data Science
  • Mathematik für Informatiker und Softwaretechniker
  • Modellierung
  • Programmierung und Softwareentwicklung
  • Theoretische Grundlagen der Informatik
• the core modules
  
  • Algorithmen und Berechenbarkeit
  • Angewandte Statistik
  • Data Warehouse, Data Mining, OLAP
  • Datensicherheit
  • Information Retrieval and Text Mining
  • Informationsvisualisierung und visuelle Analytik für Data Science
  • Machine Learning
  • Numerische und Stochastische Grundlagen der Informatik
  • Systemkonzepte und -programmierung

The Data Science project offers the opportunity to deepen and apply the theoretically acquired knowledge in practice. During the project, teams of 5 to 12 students work together to solve a major problem in the field of Data Science. The result will be recorded in a scientific publication and documented on a poster during the project day, which takes place once a semester. You will receive information about registration etc. from the program manager.

The seminar offers a first opportunity to apply acquired knowledge and to build on it. Here, topics are assigned that have to be researched by the respective student, presented in a lecture and in a written paper. Therefore, the seminar should generally not be taken before the 4th semester, as otherwise the necessary basics are missing. In addition, the module "Scientific Methods in Computer Science" should be completed beforehand, since the knowledge imparted there is also used in the seminar. Further information about the seminars can be found here.

The elective area in the Bachelor Data Science comprises 3 catalogs: the catalog "Deepening Data Science", the catalog "Supplement Data Science", and the "Calatog Computer Science".

• From the catalog "Deepening Data Science" one module has to be chosen from the existing ones.
• From the catalog "Supplement Data Science" two modules have to be chosen from the existing ones.
• From the "Calatog Computer Science" two modules have to be chosen from the existing ones.

The selectable modules can be found in the module handbook or in the C@mpus system.

It is important to note that there is a difference between exams and course achievements. Examinations have an upper limit of repetition attempts, course achievements do not. As a general rule, passed examinations (regardless of whether they are examinations or course achievements) cannot be repeated.

What is what:

• Course achievements (no upper limit on retakes) comprise:
  
  • USL = ungraded course achievement
  • BSL = graded course achievement
• Examinations (upper limit on retakes) comprise:
  
  • PL = examination performance (written or oral)
  • LBP = course-related examination

Here you will find the exact specifications of the examination regulations regarding the repetitions:

• Each failed examination can be repeated once.
• In up to 3 cases, a 2nd repetition of an examination performance is permitted. If this so-called third attempt is not passed (and only then), an oral continuation examination takes place, which decides on the continuation of the study program or its end.
• Failed examinations must be repeated within 2 semesters.
• The modules of the orientation examination can only be repeated once in writing. If this 2nd attempt is not passed, an oral continuation examination takes place, which decides on the continuation of the study program or its end.
• The Bachelor thesis can only be repeated once.

The bachelor thesis generally forms the end of the study program. However, it can also be started before all modules have been completed. The students independently look for a topic in the department, work on it under the guidance of the examiner and finally submit a written elaboration on the topic. The processing time is 6 months. After submitting the written work, the student also gives a short presentation on the contents of the work.

Interdisciplinary key qualifications enable a small view outside of one's own studies. Here you can attend courses that are not otherwise integrated into your studies, such as language courses, courses on legal matters, etc. In the Bachelor's program you have to take 2 interdisciplinary key qualifications.

The following time limits must be observed for the study program:

• The orientation examination must have been passed by the end of the 3rd semester (including possible repeat attempts).
• The study program must be completed after 12 semesters at the latest.

The orientation exam is the first temporal hurdle in the study program. Its purpose is - as the name suggests - to help students decide at an early stage whether they can successfully complete their studies or whether a change of direction would be advisable. Early means that the orientation exam must be passed by the end of the 3rd semester at the latest. The orientation exam includes the following modules in the Data Science program:

• Introduction to Data Science (6 ECTS)
• Programming and Software Development (9 ECTS)

If these two modules are passed, the orientation exam is also passed.

Compulsory subjects must be taken by all students - without exception. The compulsory subjects include the so-called basic modules, i.e. the absolute fundamentals of the subject, and the so-called core modules, which build on the fundamentals and deepen them. The compulsory subjects include

• the basic modules
  • Datenstrukturen und Algorithmen
  • Einführung in Data Science
  • Mathematik für Informatiker und Softwaretechniker
  • Modellierung
  • Programmierung und Softwareentwicklung
  • Theoretische Grundlagen der Informatik
• the core modules
  
  • Algorithmen und Berechenbarkeit
  • Angewandte Statistik
  • Data Warehouse, Data Mining, OLAP
  • Datensicherheit
  • Information Retrieval and Text Mining
  • Informationsvisualisierung und visuelle Analytik für Data Science
  • Machine Learning
  • Numerische und Stochastische Grundlagen der Informatik
  • Systemkonzepte und -programmierung

The Data Science project offers the opportunity to deepen and apply the theoretically acquired knowledge in practice. During the project, teams of 5 to 12 students work together to solve a major problem in the field of Data Science. The result will be recorded in a scientific publication and documented on a poster during the project day, which takes place once a semester. You will receive information about registration etc. from the program manager.

The seminar offers a first opportunity to apply acquired knowledge and to build on it. Here, topics are assigned that have to be researched by the respective student, presented in a lecture and in a written paper. Therefore, the seminar should generally not be taken before the 4th semester, as otherwise the necessary basics are missing. In addition, the module "Scientific Methods in Computer Science" should be completed beforehand, since the knowledge imparted there is also used in the seminar. Further information about the seminars can be found here.

The elective area in the Bachelor Data Science comprises 3 catalogs: the catalog "Deepening Data Science", the catalog "Supplement Data Science", and the "Calatog Computer Science".

• From the catalog "Deepening Data Science" one module has to be chosen from the existing ones.
• From the catalog "Supplement Data Science" two modules have to be chosen from the existing ones.
• From the "Calatog Computer Science" two modules have to be chosen from the existing ones.

The selectable modules can be found in the module handbook or in the C@mpus system.

It is important to note that there is a difference between exams and course achievements. Examinations have an upper limit of repetition attempts, course achievements do not. As a general rule, passed examinations (regardless of whether they are examinations or course achievements) cannot be repeated.

What is what:

• Course achievements (no upper limit on retakes) comprise:
  
  • USL = ungraded course achievement
  • BSL = graded course achievement
• Examinations (upper limit on retakes) comprise:
  
  • PL = examination performance (written or oral)
  • LBP = course-related examination

Here you will find the exact specifications of the examination regulations regarding the repetitions:

• Each failed examination can be repeated once.
• In up to 3 cases, a 2nd repetition of an examination performance is permitted. If this so-called third attempt is not passed (and only then), an oral continuation examination takes place, which decides on the continuation of the study program or its end.
• Failed examinations must be repeated within 2 semesters.
• The modules of the orientation examination can only be repeated once in writing. If this 2nd attempt is not passed, an oral continuation examination takes place, which decides on the continuation of the study program or its end.
• The Bachelor thesis can only be repeated once.