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Summary

The course of studies “Bachelor of Science in Information Systems” leads to an undergraduate first degree which is practice-oriented and inter-disciplinary, providing the graduate with a first professional and scientific qualification. Information Systems is a scientific discipline undergoing continual innovation. For this reason, particular emphasis is placed on a firm scientific and practical foundation. This foundational knowledge enables students to systematically and independently acquire further knowledge. Mathematical, computer-scientific, business administration and law aspects together with the integrative topics of information systems form an inter-disciplinary qualification. The study contents are equally distributed over the three fundamental disciplines Information Systems, Computer Science and Business Administration. In addition, key qualifications are trained, such as the ability to work scientifically and in a team; communication and conflict resolution skills; inter-disciplinary studies and taking responsibility in selected modules as well as within the Information Systems modules. The aim of the studies is to equip oneself for the changing and diverse tasks in the various professional fields of Information Systems Management and to be trained to deal at any time with new problem areas and in so doing to apply the acquired expert knowledge properly and responsibly.

Highlights

  • German IS experts
  • Practical reference
  • Business Contexts
  • Important elements of computer science
  • Individual care
Schedule Full-time
Duration 3 Years
Presence of students On-campus
Enrollment capacity per term 90
Total number of enrolled students 249
Tuition and fees per year 250.00 EUR
Scholarships available Yes

Courses

Lecture
Course contents: accounting as a branch of business accounting; basis of accounting; ongoing bookkeeping in commercial and industrial operations; booking special transactions, esp. loans, factoring; leasing, tax and securities; financial statements in the bookkeeping, esp. depreciation, attributions; prepaid expenses and accruals.
 694
Lecture
Course content: introduction to C++ programming language; introduction to the concepts of formal languages; introduction to complexity theory; recursive algorithms; dynamic data structure ; algorithms on trees; graphs and elementary algorithms on graphs; search algorithms, hashing, sorting algorithms
 687
Lecture
Course Content: architecture of application systems; selection and implementation of standard software; industry-specific applications; industry neutral applications; sectional systems; business intelligence; supply chain management; IT organisation
 671
Lecture
Course contents: basic terms and accounting objectives of cost accounting; delineation of cost accounting from external accounting; expiry of cost accounting; cost accounting; cost center accounting; cost accounting; imputed income statement; selected decision bills
 720
Lecture
Course contents: fundamentals of operational financial processes; instruments of capital budgeting (investment calculations as decision support, static methods of investment appraisal, dynamic methods of investment appraisal); forms of capital raising (overview of the types of financing, external financing, internal financing, liquidity management); financial analysis (capital structure models, financial ratio analysis, shareholder value concept).
 705
Lecture
Course content: object-oriented analysis with UML; basics of Java programming language; object-oriented design with UML and Java; Java recess; design patterns; functional programming with standard ML; recursive data structures; recursive algorithms, higher-order functions, polymorphism
 715
Course
Course contents: productive systems as object of cognition of business administration; fundamentals of production theory: analysis of input-output relationship productive systems; fundamentals of cost theory: analysis of the cost-volume relationship of productive systems; production and cost theory as a generator of information for the operative production planning; formulation and solution of decision problems
 589
Lecture
Course Content: methods of systems analysis, modeling with model types of Unified Modelling Language (UML); data modeling, esp. of graph-like documents, with class diagrams; implementation of analytical data models into relational database schemes; meta models; Model Based Software Engineering (MBSE) using the example of EMF; state models; software generation from state models
 698

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