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Frequently Asked Questions
Bachelor Data Science by Design: Frequently Asked Questions
Find here our list of questions bellow:
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The diploma is a DU “University Diploma” and is issued by CY Tech after 4 years of study.
After 3 years, students will receive an undergraduate diploma (French “licence”) in Data Processing.
Students will be able to carry on their studies for an extra year in order to obtain a Master’s degree in Data Processing or an Engineering diploma. -
- Strong academic skills in high school, especially in Mathematics and Science;
- High school certificate enabling access to a university;
- Swiss high-school maturité certificate, European high-school certificate, or equivalent;
- For French Students: French Scientific Baccalaureate level “mention bien/très bien” with very good results in Maths, Physics or Baccalaureate in Economics and Social Studies with excellent results in Maths and Economics;
- English : level B2;
- Applicants must be keen to develop their curiosity, teamwork, creativity, and enthusiasm. They must also have a taste for communication and active listening.
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The bachelor's degree is an international program taught entirely in English and welcoming students from different countries. The bachelor's degree is also different in terms of the teaching methods used.
Students will gain fundamental notions in economics. Discovery modules and conferences will tackle contemporary challenges. Every year there will be transverse projects in line with the business world as well as internships. Project work allows students to be full actors in their training. The course also has close links with work in businesses from the very start. The Bachelor is a gateway towards research, offering an internship in a university research laboratory.
Also, the great strength of this Bachelor is to offer a dual expertise: Data Science and Design - One internship per year:
- 4 weeks during the first year;
- 8 weeks during the second year;
- 16 weeks for year 3;
- 16 weeks for year 4;
- There will also be a placement in a research laboratory.
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A few examples: Data Engineering, Security Systems Engineering, Smart Systems Engineering, Artificial Intelligence
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Libraries, sports structures, university restaurants, cultural activities etc. will be available to students.
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