Bachelor of Knowledge EngineeringAdd to shortlist

University of Maastricht

Netherlands

Information Technology

Computer Science

Bachelor of Knowledge Engineering

3 years

€1771 pa

Programme profile

In the Knowledge Engineering programme, you learn to collect and organise valuable data using mathematics and intelligent computer techniques. You also use models and computers for data analysis, generating new knowledge and conclusions to solve practical problems and make decisions quickly and efficiently. You learn how to make these decisions using: computer science, applied mathematics,and artificial intelligence.

The programme gives you a solid basis in mathematics and computer science. You will also take practical modules, in areas such as financial and industrial mathematics, cognitive psychology, logic and philosophy of science. The programme is designed around Project-Centred Learning (PCL). In the PCL educational model you work in small groups on complex any challenging projects that require you to develop a variety of skills. All students will have opportunity to spend a semester abroad at a university outside the netherlands.

Programme content

Year 1 :Introduction to KnowledgeEngineering; Introduction to Computer Science; Discrete Mathematics;Knowledge Presentation and Cognitive Psychology; Linear Algebra Data Structures and Algorithms; Introduction to Business Management; Calculus; Software Architectures & Software Engineering; Logic; numerical Mathematics
Year 2 :Databases;Philosophy of Science;Probability and Statistics;Machine Learning; Human-Computer Interaction & Social Media; Theoretical Computer Science; Mathematical Modelling; Knowledge Management; Linear Programming Mathematical Simulation; Graph Theory; Reasoning Techniques
Year 3: Game Theory; Semantic Web; Operations Research Case Studies; Intelligent Systems; Bachelor thesis; Plus Four electives from: Chaos and Fractals; Prolog; Logic for Artificial Intelligence; Algorithmic networks and Optimization; Parallel Programming; Robotics: Programming embedded systems; Introduction to Bio-Informatics; Data Analysis.

Progression

The university offers related Masters programmes, taught through English, in the following areas:

Artificial Intelligence
Operations Research

Entry Requirements

3 A-levels (grades between A and E) + 3 GCSE (grades between A and C). Maths A Level required.

Six subjects at Leaving Certificate including at least two 2 at HC3. Subjects to include Hons Maths

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01 October

01 August

Eunicas will assist you to:
1. Register through Studielink
2. Apply directly to university