BSc Data Science & Knowledge EngineeringAdd to shortlist
Information Technology
Computer Science
BSc Data Science & Knowledge Engineering
3 years
€2083 pa
Programme profile
In this programme, you'll study logic, intelligent search, and machine learning. You'll collect and organise relevant information using mathematics and smart computer techniques. You also use models and computers for data analysis. The ultimate objective is to develop user-friendly software and intelligent systems for -among others- healthcare, IT, robotics and commercial gaming. Upon graduation, you can look forward to a promising career, as data scientists and knowledge engineers are in high demand. The Harvard Business Review even labeled data scientist as 'The Sexiest Job of the 21st Century'.
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 Data Science & Knowledge Engineering; 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; 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 and 3 GCSEs. Maths A Level required.
Six subjects at Leaving Certificate including three at H5, or above. Subjects to include Hons Maths
no
no
Yes
10 October
31 July
Join us on Facebook