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€9,540.00€8,586.00/year
1202 PointsDuration
4 Years
Language
English
Apply date
Sep 2024
Start date
Sep 2024
Program Description
The aim of the bachelor in Data Science (BSc) is to provide students with technical skills and practical insight into Data Science. The program combines theory and practice, based on three main disciplines, Computer Science, Statistics and Mathematics, and real world application domains. It has been designed to enable graduates of the program to meet the demands of the data-driven economy of the future.
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Aims of the Program
- Providing students with the technical and analytical skills required for acquiring, managing, analyzing and extracting insight from data.
- Provide students with a strong mathematical and statistics foundation that will enable them to appropriately formulate models and apply optimization techniques for data analyses challenges.
- Providing students with software engineering and machine learning skills to design and implement scalable, reliable and maintainable solutions for data-oriented problems.
- Enabling students to assess the level of privacy and security of a technical solution to a data science problem.
- Preparing students to pursue further postgraduate education and research that require expertise in data science and analytical reasoning (such as business analytics, finance, health, bioinformatics).
- Providing students with a strong sense of social commitment, global vision and independent self-learning ability.
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Learning Outcomes
- Apply theory and methodologies of several data science oriented topics in mathematics, statistics and computing to solve problems in real-world contexts.
- Apply contemporary computing technologies, such as machine learning and data mining, Artificial Intelligence, parallel and distributed computing, to solve practical problems characterized by big data.
- Implement algorithms for fundamental data science tasks such as machine learning and data mining, statistical inference etc, using a high-level language which is suitable for data science (e.g. Python, R).
- Apply data management to clean, transform and query data.
- Select and apply suitable machine learning algorithms and software tools to perform data analysis.
- Perform data visualization and apply inference procedures to analyze data and interpret and communicate results.
- Assess the data privacy and security issues raised during the various stages data management.
- Demonstrate professional and ethical responsibility in data ownership, security and sensitivity of data.
- Be able to communicate technical ideas effectively through both oral presentations and written reports.
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Curriculum
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