Examination Modules

The Master's programme in Data Science? consists of a total of 120 credits and, according to the current examination regulations for 2025, comprises the following assessment areas:
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• Core Data Science Methods (32 credits)
• Advanced Data Science?Methods / Electives (at least 36 credits)
• Scientific Project Work
  • Data Science Project (10 credits)
  • Seminar: Mathematics and Computer Science (4 credits each)
  • Social Aspects of Data Science / Ethics (4 credits)
• Master's Thesis (30 credits)

Core Data Science Methods

The Core Data Science Methods should be taken at the beginning of the programme, as they provide a solid foundation in essential techniques and ensure a shared methodological background. These courses build upon topics covered in previous Bachelor's programmes, reinforcing fundamental concepts while delving into the specific methodologies of Data Science.
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Advanced Data Science Methods / Electives

Scientific Project Work

Seminars?

The goal of seminars is to train the ability to research complex scientific topics, report and present them in the student’s own words and discuss complementary works, also in small groups. Two seminars need to be taken, one in Mathematics and one in Computer Science as to stress each discipline’s specific approaches.

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Data Science Project?

In a project, students will work individually or as small team to tackle problems motivated by industry applications or recent research in their field. Such projects typically involve smaller, well-contained practical parts of the overall problem such solving parts of a method design, implementing an algorithm or evaluating specific approaches. Projects are typically supervised by academic staff, providing closer insights into the research areas of the individual professors.?

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Social Aspects / Ethics?

Given the tremendous effect data-driven application and AI have on the various aspects of our society, a multitude of ethical questions arise, including but not limited to accountability, privacy and fairness. These courses offer to opportunity to recognize the ethical implications of data science and provides guidelines how to incorporate ethics into Data Science and AI processes.?

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Master's Thesis

The programme is concluded by a 6-month full-time Master's thesis, where students will be involved in cutting-edge research with individual supervision and support. They will demonstrate how to apply the knowledge gained in the program to current problems and assess the outcome. We expect a written thesis and final oral presentation. Topics from seminars and the project can be the starting of a Master's thesis, but students are free to complete your Master's dissertation with a different supervisor.?

Sample Study Plan Beginners in Winter Term

1st semester

2. Semester

3. Semester

4. Semester

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The determination of programme-specific suitability is assessed by a selection committee.

To help make the start of your studies as smooth as possible, we've gathered all essential information for new Computer Science students in one place:
Here, you'll find everything you need for a successful beginning to your academic journey.

The Study Guide will help you during your first semester(s) of study in Augsburg, but also contains useful information throughout the programme.

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Download the Study Guide

Course Catalogue

All the courses offered in the current semester, including lecturers, rooms, and times, can be found in Digicampus. These are also compiled here in accordance with your degree programme and examination regulations.

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Course Catalogue for MSc Data Science

Timetables

For the compulsory and core courses of the degree programme, the faculty prepares a timetable, which also includes some elective courses. Please note that there is no distinction made between different examination regulations.

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Timetables

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Exam Schedule

The faculty maintains a central exam schedule, where lecturers register the exams. You will also find links to the exam schedules of other faculties, such as for minor subjects or interdisciplinary degree programmes.

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Exam Schedule

Exam dates for the Institute of Computer Science are listed? here.

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For most examination-related issues, the?→ Examination Office is your primary point of contact, including:
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• Problems with exam registration in "Studis"
• Registration of final theses
• Issuance of certificates and transcripts

→ FAQs from the Examinations Office
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For more complex issues, the → Examination Board is responsible. Applications are also submitted through the Examinations Office. Common topics include:
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• Deadline extensions (e.g., overall study time, final theses)
• Compensation for disadvantages
• Recognition of prior study and examination achievements

Examination Regulations

The examination regulations establish the guidelines for the degree programme, such as:
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• Scope and content of module groups
• Mandatory and optional courses within the module groups
• Scope of examinations
• Deadlines, such as for orientation exams or the maximum duration of study
• Types and progression of examinations

Examination regulations are divided by area of application and build on each other. Over time, the examination regulations are modified to develop the degree programme further. The version that applies to you is the one in force at the time of your enrolment in its consolidated form. You can check this information in the "Studis" system.

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→ Subject-specific Examination Regulations MSc Data Science (all valid regulations - release pending)
→ General Examination Regulations of the 新万博体育下载_万博体育app【投注官网】 of Augsburg
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Module Handbook

The module handbook lists a catalogue of potential courses and provides details on these courses. The specific courses you are required or allowed to take are determined by the examination regulations. Not every course is offered every semester; please refer to the timetable and Digicampus for more information.
The information provided includes, among other things:
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• The person responsible for the module
• Course content
• Learning objectives
• Examination format
• Allocation to the module group (see examination regulations)
• Contact hours/Workload
• Recommended semester

The module handbook changes slightly from semester to semester and depends on the degree programme and examination regulations. The information in the module handbook can also be found on Digicampus.

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The 新万博体育下载_万博体育app【投注官网】 of Augsburg and the Faculty of Applied Computer Science offer numerous support services:

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Central Student Advisory Service

The Central Student Advisory Service provides a broad range of support on non-subject-specific topics such as learning advice, self- and time management, psychological and systemic counselling, studying with disabilities, studying with a family, social and legal advice ("Studentenwerk"), career entry and orientation (Career Service), studying abroad and support for international students (International Office).

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→ Student Advise and Counselling Service
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Dean of Studies

The Dean of Studies at the FAI offers advice on teaching, examinations, support services, and teaching evaluations. However, the Dean of Studies is not responsible for individual study counselling or planning.

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Examination Board

For more complex queries related to exams, recognitions, and applications, it may be helpful to consult directly with the chair of the Examination Board.

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Subject-Specific Counselling and Other Contacts

The subject-specific advisors for each degree programme provide individual feedback on study-related questions such as course progression, choosing minor subjects/specialisations/internships, and preparing applications.

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Once all academic requirements have been completed, you must apply for your degree certificate. You can find details on this process on the?→ Examinations Office website.

Here?you will find information on doctoral studies at the Institute of Computer Science at the 新万博体育下载_万博体育app【投注官网】 of Augsburg.

As digitalisation reaches all areas of daily life, ever larger volumes of complex data are being generated. Graduates of the Data Science degree programmes have excellent career prospects with their in-depth knowledge of analysing this data. The field of data science as a modern interdisciplinary science underpins the process of digitalisation and the effective utilisation of data in many application areas:?

• Data analysis / Big Data?
• AI/machine learning
• Digital transformation in the SME/industry sector?
• Process optimization and automation, e.g., in logistics, online retail or the energy sector?
• 新万博体育下载_万博体育app【投注官网】icine and Pharmaceutical industry?
• System analysis/consulting

Do you want to stay in touch with your fellow students and meet them again at a variety of network events? Then join the → 新万博体育下载_万博体育app【投注官网】 of Augsburg's alumni network.

Admission to M.Sc. is Data Science requires knowledge in a number of subjects. You can find the list on the

course website?(see Entry Requirements) and the examination regulations.?

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Providing an appropriate course title is not sufficient, instead we require a rigorous treatment of the contents and systematic knowledge of methods, including but not limited to proof techniques. The admission committee requires comprehensive descriptions on the content and methods of these courses. There are several FAQ items in the Prerequisites & Documentation section on this matter.

In general, we do not accept practical knowledge such as work experience or projects to fulfil the admission requirements, as they lack a rigorous quality assessment.

The programme can be studied completely in English. For a transition period, a limited number of electives or exercise groups may be taught in German; students may also choose to write their theses/report in German.

Therefore, no German knowledge and German language certificates are needed for the programme itself. For everyday live, some basic German will be helpful, though.

We require English language skills at B2 level, but no German language certificates.

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The university maintains a list of recognized certificiates: Admission requirements. No other test certificates will be accepted.

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If your previous degree was taught entirely in English, a statement from your 新万博体育下载_万博体育app【投注官网】 with the 新万博体育下载_万博体育app【投注官网】ium of Instruction (MOI) also fulfills the requirements.

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No, an appropriate course title is not sufficient to prove sufficient knowledge for a subject area. As a consequence, uploading a transcript at this point of the application will be treated as missing documentation. Likewise, title lists from regulations are deemed to be insufficient.?

Instead, the admission committee need module descriptions to cover the contents, methods, goals and credits/contact hours, similar to our module handbook?

For our M.Sc. programmes, no VPD are required - this is only necessary for our B.Sc. programmes. The assessment will directly be performed on your degree certificates, transcripts and module description.

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There are two exceptions, however, where different kind of certificates are needed:

1. If your degree is from China, India or Vietnam, you will need an APS certificate. There is a separate FAQ item on this
2. If your university is not fully recognized according to Anabin as H+, your degree certificate will need to be validated by the " Zeugnisbewertung der ZAB" for statement of comparability.

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Please apply for this statement of comparability as soon as possible, as processing may take weeks to months. When you receive the statement, please include it with your degree at application time.

When applying, you will be asked to provide the number of credits / contact hours of your previous degree, as well as its duration.?One year of full-time study corresponds to 60 European Credit Transfer System (ECTS) credits.

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Therefore, a three-year Bachelor’s program in Europe is equivalent to 180 ECTS.?

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Please provide your "original" CP contact hours in the application, as stated in your transcript / module description. The application committee will then convert and check those numbers.

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You may estimate the converted value as follows:? If you have 8 "original" credits in a three-year program worth N "original" credits, you can convert them to ECTS by multiplying 8 by 180 divided by N.? If you participated in a four-year program, you need to replace 180 with 240.

The German grading system assigns grades from 1.0 (very good, maximum grade) to 5.0 (failed, minimum grade), where 4.0 is the minimum passing grade.

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You need to provide you the best possible grade and minimum passing grade of your grading system when applying, and provide proof for this information (e.g., as part of your transcript).

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The admission committee will use this information to compute your equivalent German grade and determine?if it meets the requirements (2.7 or better).?Your (numerical) grade will be scaled using the modified Bavarian Formula.

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新万博体育下载_万博体育app【投注官网】 of Augsburg provides a converter for initial guidance, but please note that the provided information is not binding.

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Applications for the winter?term will be processed starting from the following dates:??

• Applications received March 10th - May 1st: May 1st

• Applications received May 1st - July 1st: July 1st

• Applications received July 1st - September 1st: September 1st

Applications for the summer term will be processed starting from the following dates:??

• Applications received November 6th - December 1st: December 1st
• Applications received December 1st - February 1st:?February 1st?
• Applications received February 1st - March 1st: March 1st.?

Providing a strong guarantee on the processing duration is not possible, but we aim for 3 - 6 weeks after the start for each group?

The notification is sent to you by mail, you may find details in the VIBS portal or as attachment.
Due to legal reasons, the decision document (“Bescheid”) is issued in German only.?

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An acceptance document provides information on enrollment and the beginning of the semester. We will soon send you more information.

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The notice of?rejection contains the main reason why you were not accepted on the second page, while the first page lists the requirements (again for legal reasons).

Common reasons are:

1. Note (Grade)

   dass Ihre Durchschnittsnote in ?previous degree? an 
   der ?previous university? [...]
   nicht die erforderliche Gesamtnote von 2,70 ergeben hat

   The grade you entered or was shown on your transcript did not fulfill the required minimum grade for our study programme: 2.7 or better in the German system, where 1.0 is the best possible grade and 4.0 is the minimum passing grade.
2. Fehlende Unterlagen (Missing documentation)

    dass die geforderten Bewerbungsunterlagen nicht vollst?ndig eingegangen sind 

   The documents you submitted did not provide proof of the necessary courses and their contents. Besides missing or unrelated documents, this also covers significant inconsistencies among your documents. In particular, the title of a course from a transcript alone is insufficient to provide the necessary detail on the contents.
3. Fehlende Gleichwertigkeit (lack of equivalence)

   dass Ihr Studium in ?previous degree? an ?previous university? nicht als 
       gleichwertig [...] angesehen werden kann

   The courses you listed did not contain contents equivalent to those required. This could mean that?

• the courses have no or little relation to the required subject,?
• the methods utilized do not align,?
• your course covers only part of the relevant material or?
• the course contents do not reach the necessary amount

Please note that all these criteria had to be fulfilled when submitting your application. Due to the large number of applications, we cannot provide individual feedback.?

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If your application was rejected, you may reapply in a later semester. You will have to re-register in the VIBS submission system, as account data is reset between application rounds.

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Please be aware that sending the same application again will not change the outcome. Missing documentation or a miscalculated grade can be corrected, whereas a lack of equivalence is hard to overcome.

Late arrival is only possible until the beginning of the second week of lectures (typically around October 20th/April 20th). Any later arrivals would lead to significant challenges with the course materials, so that students will not be able to achieve a meaningful amount of credits in their first semester.

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As admissions can only be issued for a single semester, we offer fast track readmission that will provide you with much more time to obtain a visa for the following semester.?In case that you will not be able to obtain a visa on time, you can simply go to VIBS once the admission period starts and upload your earlier admission letter. You do not need to provide any further documents in this case and you will receive a fast response with a new admission letter for the coming semester.

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In the first semester, we strongly recommend taking the Core Data Science courses, one for computer science and one for mathematics. The idea of these courses is to provide a solid foundation for the required knowledge and methodology by refreshing and extending core competences. This way, students will be well-prepared for advanced/elective courses and projects.?

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Together, these courses already provide more than half of the expected workload for this semester (16 out of 30 ECTS credits).

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In addition, you may take a seminar and a advanced course, but please ensure that you already have the required knowledge

Students acquire both an in-depth understanding of the theoretical foundations in medicine and mathematics, as well as advanced knowledge relevant to computer science. They also gain practical experience in the development and application of computational methods in biomedical research, medical care, and health-related applications.

Students learn to develop, refine, and apply advanced and innovative concepts, methods, techniques, and technologies in medical informatics to identify and solve complex information processing problems in (bio)medical and health-related fields.

Graduates are well-prepared for demanding professional roles in companies, public institutions, as well as in academic and non-academic research. They can work in a variety of sectors, particularly in healthcare, and both academic and non-academic research settings.