Please note: From the 2026/27 winter semester onwards , the latest examination regulations and programme-specific annexes will also apply to students who are already enrolled. However, it is possible, upon proposal, to continue studying under the previous regulations for a limited period. Transitional and transitional provisions in the examination regulations have, however, largely ensured that this transition should be possible for everyone without any problems. These have not yet been published. In the ‘Student Colloquium’ course on Stud.IP, there is a list of frequently asked questions (FAQs) where students in higher semesters can find more detailed information. To access this, you must be logged into Stud.IP and be a member of the ‘Student Colloquium’.

On 14 October, there will also be an information session on this topic in the Department’s ‘Student Colloquium ’. If you still have any questions, please book an appointment with your subject adviser, Dr Ute Vogel-Sonnenschein.

Study plan prior to 2026

First-year students starting in the winter semester of 2026 can choose between three options for structuring their degree programme:

Study Plan 2026 – Option 1

You will take the Linear Algebra module in the first semester. (For students who are undecided between Computing Science and Mathematics, it is also an option to take the Linear Algebra module mat050 for mathematicians, worth 9KP, instead of the mat955 module.)
By moving inf200 to the third semester, you will take the sequential modules inf200 and inf206 one after the other, as well as the new inf206 module worth 9KP with an integrated practical placement. This option enables a smooth transition to the new examination regulations for 27/28.

Study Plan 2026 – Option 2

You will take the modules inf200 in the first semester and inf2010 Computer Networks and the introductory seminar as early as the second semester. However, you will not deepen your knowledge of Technical Computing Science with the 9KP module inf206 Technical Computing Science with Placement until the fourth semester.
In the modules inf808 ‘Current Topics in Computing Science ’ (3KP) and inf802 ‘Computing Science Practical’ (6KP), you have the choice between courses on various topics in Computing Science.

Study Plan 2026 – Option 3:

In this variant, you will largely follow the existing study plan, meaning that when transitioning to the 2027/28 examination regulations, you may need to seek advice and submit the relevant proposals: You will take the 6KP modules inf200 and inf201 on Technical Computing Science in the 1st and 2nd semesters and begin the associated course inf202 Technical Computing Science Practical Training during the lecture-free period (in September 2027) . The practical course will then be completed before Christmas 2027.

Further flexibility and changes:

1. The new module‘Computing Science in Context’ (still listed under the old module title ‘Soft Skills’ in the winter semester 26/27) introduces you to the diversity of Computing Science topics you will encounter during your degree. It also explains where these are important in practice, i.e. for your future career aspirations.
   However, first-year students with an affinity for mathematics can also take the module mat955 Mathematics for Computing Science: Linear Algebra instead, or in addition to this, as early as the first semester. Please note: If you take the module inf955 in addition to this, the workload in the first semester will be very high! We therefore recommend following Option 2.
2. If you have already taken the module mat955 in the first semester, you should take the module ‘Computing Science in Context’ (then as module inf850 Computing Science in Context) in the third semester – or reschedule one of the other (elective) modules to this point.
3. The modules inf010, inf012 and inf420 will be compulsory modules from the winter semester 2027/28.
4. Introductory seminars and the module inf808 are offered every semester, so they can also be taken in a later semester. However, the introductory seminar must be completed before registering for the Bachelor’s thesis, as it provides practice in academic work, which is important for the Bachelor’s thesis.
5. From the 2027/28 academic year onwards, the modules inf201 and inf202 will be replaced by the new module inf206.
6. The previously compulsory Technical Computer Science placement (inf202) will be replaced by a general placement in Computing Science, optionally on the topic of databases, but also covering other topics.

From the 2027/28 winter semester onwards, the following study plan will apply to all students on the Bachelor’s degree programme in Computing Science. Studying under the previous regulations will then only be possible with a proposal.

Flexibility in the course of study

1. The new module‘Computing Science in Context’ introduces you to the wide range of Computing Science topics you will encounter during your degree. It also explains where these are relevant in practice, i.e. for your future career aspirations.
   First-year students with an affinity for mathematics may, instead or in addition, take the module mat955 ‘Mathematics for Computing Science: Linear Algebra’ as early as the first semester, or take the mathematics module inf050 ‘Linear Algebra’. (Please note: if you take the module inf955 in the first semester in addition to this, the workload in the first semester will be very high at 33 CP!)
2. If you have already taken the mat955 module in the first semester, you should take the module ‘Computing Science in Context’ (then as the inf850 module ‘Computing Science in Context’) in the third semester – or reschedule one of the other (elective) modules to this point.
3. Introductory seminars (inf800) and ‘Current Topics’ modules(inf808, inf809) are offered every semester, so they can also be taken in a later semester. However, the introductory seminar must be completed before you register for your Bachelor’s thesis, as it provides practice in academic research, which you will need later in your Bachelor’s thesis.

The Bachelor’s degree programme has a standard period of study of six semesters – in order to complete the programme within this timeframe, we recommend following the recommended study plan for the Bachelor’s degree programme in Computing Science and consulting your academic adviser if you deviate from it.

30 CP	Core modules: Core modules provide introductory knowledge of the most fundamental areas of Computing Science. They are compulsory modules and must all be passed before you begin your Bachelor’s thesis. However, as later modules build on the content covered in these modules, you should enrol in and pass them as early as possible. Inf030 Programming, Data Structures and Algorithms and Inf031 Object-Oriented Modelling and Programming: Here, you will not only learn to programme in Java, but also explore complexity, the modelling of concepts using UML, and much more. inf200 Fundamentals of Computing Science: Here, you will explore the structure and functioning of computers. inf401 Fundamentals of Theoretical Computing Science: You will learn about different language classes and (abstract) automata models, and explore the computability of problems.
72 CP	Advanced modules: These modules also provide essential basic knowledge in Computing Science and are therefore almost all compulsory: inf005 Software Engineering I inf007 Databases I inf010 Computer Networks inf012 Operating Systems I inf201 Technical Computing Science or inf206 Technical Computing Science with Practical Training inf400 Theoretical Computing Science: Logic inf420 Introduction to IT Security inf800 Introductory Seminar in Computing Science: Here you can choose from seminars on various topics and gain an in-depth understanding of your chosen topic; you must write a paper in accordance with academic standards, give a presentation on it and discuss it with the other seminar participants mat950 Mathematics for Computing Science (Discrete Structures) mat955 Mathematics for Computing Science (Linear Algebra) mat960 Mathematics for Computing Science (Analysis) Mathematics Elective: You choose one module mat030 Analysis II a: Integral Calculus of One Variable and Differential Equations mat200 Algebra I: Rings and Modules mat310 Statistics I – Introduction to Applied Statistics mat996 Introduction to Numerical Methods mat997 Introduction to Stochastics
30 CP	Specialisation: Inf-choice: In the field of Computing Science, Culture and Society, we recommend the module inf851 Computing Science and Society, but you also have the option of choosing another topic from the relevant list For the remaining modules, you are free to choose from all the specialisation modules in Computing Science – and this list is long and varied, allowing you to follow your individual interests and strengths.
15 CP	This colour indicates training modules; in the Bachelor’s degree in Computing Science, the following is compulsory the module inf004 Software Project and an internship course organised by the Department of Computing Science, for example inf009 Database Internship or inf021 Advanced Java Technologies Anyone who has completed a recognised vocational training programme can have this credited as inf802 Computing Science Placement.
18 CP	Area of specialisation modules (PB modules) can be freely selected from the Area of specialisation catalogue. In the first semester, we recommend the module pb085 Soft Skills or inf851 Computing Science in Context. These also include, for example, language modules, as well as other modules on a wide variety of topics (astrophysics, philosophy, etc.). However, they may also be replaced (on proposal) by subject-specific modules (e.g. further Computing Science modules or modules from another subject with no entry requirements).

It is also possible to study part-time.

You can find the application form and the part-time regulations of the University of Oldenburg at uol.de/studium/studierendenstatus.

Your academic advisor must advise you on part-time study to ensure the best possible selection of modules and sign the proposal. You must submit the proposal to the Admissions office with your re-registration.

The form only asks for the reasons for part-time study for statistical reasons - these are not relevant for approval.