Minor in the Bachelor’s Program Mathematics
Here, you can find the elective modules currently being offered for regular minors. Other modules are not included.
Depending on your personal academic situation, your individual schedule and semester of enrollment certain modules can vary. Here, you can see the recommendations and prerequisites for certain modules.
We can only guarantee that modules will not overlap for modules that are taken in the recommended semester. You can have between 18 and 27 credits count towards your minor.
Repeat examinations usually take place the following semester.
Winter semester
- WI001056_1 – Principles of Economics in English, 6 Credits
Recommendation: 1st semester - WI000729 – Foundations of Business Administration 2, 3 Credits
Recommendation: 1st semester - WI000219 – Investment and Financial Management, 6 Credits
Recommendation: 5th semester - WI000275_E – Management Science in English, 6 Credits
Recommendation: 5th semester - WI000231 – Asset Management in English, 6 Credits
Recommendation: 5th semester
Prerequisite: Knowledge of statistics - WI001059_E – Financial Accounting in English, 6 Credits
Overlap is possible
Summer semester
- WI001132 – Cost Accounting, 6 Credits
Recommendation: 2nd semester
Remarks: online course
For in-person lectures, students can attend the following dates for WI001057.
The successor module is the module WI001057_E – Cost Accounting, 6 Credits, which can be taken as a minor course instead of WI001132. - WI000728 – Foundations of Business Administration 1, 3 Credits
Recommendation: 2nd semester - WI000820 – Marketing and Innovation Management, 6 Credits
Recommendation: 4th semester - WI001060 – Production and Logistics, 6 Credits
Overlap is possible
Repeat examinations usually take place the following semester.
Winter semester
- WI001056_1 – Principles of Economics in English, 6 Credits
Recommendation: 1st semester - WI000729 – Foundations of Business Administration 2, 3 Credits
Recommendation: 1st semester - WI000219_E – Investment and Financial Management, 6 Credits
Recommendation: 5th semester - WI000231 – Asset Management in English, 6 Credits
Recommendation: 5th semester
Prerequisite: Knowledge of statistics - WI001059_E – Financial Accounting in English, 6 Credits
Overlap is possible - MGT001374 – Operations Research and Decision Analysis in Englisch, 6 Credits
Overlap is possible
Summer semester
- WI001057_E – Cost Accounting in English, 6 Credits
Empfehlung: 2. Semester - WI000728 – Foundations of Business Administration 1, 3 Credits
Recommendation: 2nd semester - WI000820 – Marketing and Innovation Management, 6 Credits
Recommendation: 4th semester - WI001060 – Production and Logistics, 6 Credits
Overlap is possible
Winter semester
- PH0001 – Experimental Physics 1, 9 Credits
Recommendation: 1st semester - PH0003 – Experimental Physics 3, 9 Credits
Recommendation: 5th semester
Prerequisite: PH0001, PH0002 - PH0006 – Theoretical Physics 2 (Electrodynamics), 9 Credits
Recommendation: 5th semester
Prerequisite: PH0001, PH0002, PH0005
Summer semester
- PH0002 – Experimental Physics 2, 9 Credits
Recommendation: 2nd semester
Prerequisite: PH0001 - PH0005 – Theoretical Physics 1 (Mechanics), 9 Credits
Recommendation: 4th semester
Prerequisite: PH0001 - PH0007 – Theoretical Physics 3 (Quantum Mechanics), 9 Credits
Recommendation: 6th semester
Prerequisite: PH0001, PH0002, PH0005, PH0006
For the Master’s degree in Mathematics in Data Science, knowledge on the fundamentals of informatics is required in terms of discipline-specific qualifications. This requirement is fully met if students can verify they have completed three of the five modules: IN0001, IN0007, IN0008, IN0009 and IN0010.
Required Modules
- IN0001 – Introduction to Informatics, 6 Credits
Recommendation: 3rd semester (or 1st semester)
It should be taken together with IN0002. - IN0002 – Fundamentals of Programming (Exercises & Laboratory), 6 Credits
Recommendation: 3rd semester (or 1st semester)
It should be taken together with IN0001.
For a minor in Informatics, the module “Introduction to Programming” MA0010 is not required.
Winter semester
- IN0008 – Fundamentals of Databases, 6 Credits
Recommendation: 1st semester - IN0009 – Basic Principles: Operating Systems and System Software, 5 Credits
Recommendation: 5th semester
Prerequisite: IN0001, IN0004 - IN0004 – Introduction to Computer Organization and Technology - Computer Architecture, 8 Credits
Overlap is possible - IN2381 – Einführung in Quantum Computing, 5 Credits
Overlap is possible - IN2064 – Machine Learning, 8 Credits
Overlap is possible; for a broader elective offer in the Master Mathematics in Data Science, this module should not be taken until the Master's degree program
Summer semester
- IN0011 – Introduction to Theory of Computation, 8 Credits
Recommendation: 2nd semester
Prerequisite: Basic knowledge of programming - IN0007 – Fundamentals of Algorithms and Data Structures, 6 Credits
Recommendation: 2nd semester
Prerequisite: Very good knowledge of programming - IN0003 – Functional Programming and Verification, 5 Credits
Recommendation: 4th semester
Prerequisite: IN0001 - IN0006 – Introduction to Software Engineering, 6 Credits
Recommendation: 4th Semester
Prerequisite: IN0002 - IN0010 – Fundamentals of Databases, 6 Credits
Recommendation: 4th semester
Prerequisite: IN0001, IN0002, recommended IN0003
For the Master’s degree in Mathematics in Data Science, knowledge on the fundamentals of informatics is required in terms of discipline-specific qualifications. This requirement is fully met if students can verify they have completed three of the five modules: IN0001 (or CIT1230000), IN0007, IN0008, IN0009 and IN0010.
Winter semester
- CIT1230000 – Introduction to Informatics for Students of Mathematics, 6 Credits
Recommendation: 1st semester - IN0008 – Fundamentals of Databases, 6 Credits
Recommendation: 5th semester - IN0009 – Basic Principles: Operating Systems and System Software, 5 Credits
Recommendation: 5th semester - IN0004 – Introduction to Computer Organization and Technology - Computer Architecture, 8 Credits
Overlap is possible - IN2381 – Einführung in Quantum Computing, 5 Credits
Overlap is possible - IN2064 – Machine Learning, 8 Credits
Overlap is possible; for a broader elective offer in the Master Mathematics in Data Science, this module should not be taken until the Master's degree program
Summer semester
- IN0007 – Fundamentals of Algorithms and Data Structures, 6 Credits
Recommendation: 2nd semester - IN0003 – Functional Programming and Verification, 5 Credits
Recommendation: 4th semester - IN0006 – Introduction to Software Engineering, 6 Credits
Recommendation: 4th Semester - IN0010 – Fundamentals of Databases, 6 Credits
Recommendation: 4th semester - IN0011 – Introduction to Theory of Computation, 8 Credits
Recommendation: 4th semester
Remark
Instead of CIT1230000 Introduction to Informatics for Students of Mathematics, IN0001 Introduction to Informatics and/or IN0002 Fundamentals of Programming (Exercises & Laboratory) (6CP each) may be chosen. Studyability of this alternative requires additional prerequisites and self-directed rearrangements in the curriculum.
Repeat examinations usually take place the following semester.
Required Modules
- EI29821 – Principles of Information Engineering, 5 Credits
Recommendation: 1st semester - EI5356 – Measurement Systems and Sensor Technology for Mathematicians, 6 Credits
Recommendation: 2nd semester - EI09011 – Engineering Practice for Mathematicians, 6 Credits
Recommendation: 4th - 6th semesterGraded essay and oral presentation
Combining it with the professional internship is possible after prior consultation.
Winter semester
- EI0625 – Communication Networks, 5 Credits
Recommendation: 5th semester
Summer semester
- EI4692 – Introduction to Signal Processing for MA, 5 Credits
Recommendation: 4th semester
Prerequisite: Elementary probability - EI00440 – Communications Systems, 5 Credits
Recommendation: 4th semester
Prerequisite: Fundamentals of probability and statistics - EI5183 – Control Theory (MSE) in English, 4 Credits
Recommendation: 4th semester
Prerequisite: Ordinary differential equations