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Bachelor's Degree Computer Science & IT Full Time

Bachelor of Science in Data Science and Artificial Intelligence

at SUPSI - University of Applied Sciences Southern Switzerland ยท Switzerland

Duration

da 3 anni

Intake

Fall, Spring

Mode

Full Time

Tuition

On request

Campus

Lugano-Viganello, Campus Est

About this program

The Bachelor of Science in Data Science and Artificial Intelligence at SUPSI offers a comprehensive foundation in the essential principles of data science, machine learning, and artificial intelligence. Students engage with a curriculum that combines theoretical knowledge with practical application, ensuring they develop the necessary skills to analyze complex datasets, build predictive models, and implement AI solutions.

The course typically encompasses a blend of mathematics, statistics, programming, and domain-specific knowledge. Students will learn to utilize programming languages such as Python and R, data visualization tools, and machine learning frameworks. The program emphasizes hands-on projects, allowing students to experiment with real-world data and collaborate with industry partners.

Studying Data Science and AI in Switzerland provides students with unique insights into cutting-edge technologies and access to a thriving tech ecosystem. With a multicultural environment and strong ties to innovative industries, students can network and gain valuable experience throughout their academic journey.

Graduates will be equipped with critical thinking skills, a deep understanding of data-driven decision-making, and the ability to communicate complex findings effectively. This program prepares students for a dynamic field where they can influence future technologies and contribute to various sectors.

Entry requirements

To enroll in the Bachelor of Science in Data Science and Artificial Intelligence, prospective students typically need to have completed secondary education such as a high school diploma or its equivalent. A solid background in mathematics and science is highly recommended. Additionally, relevant coursework or experience in programming or IT can enhance a candidate's application.

English:

Students are generally required to demonstrate proficiency in English, with typical expectations being an IELTS score of 6.0 or higher or a TOEFL score of 85 or above. Candidates should refer to the universityโ€™s official guidelines for specific requirements regarding accepted tests and scores.

International students:

International students must obtain a student visa to study in the destination country. Generally, applicants will need to submit a valid passport, proof of acceptance into the program, financial statements, and health insurance coverage. It is essential to check the specific visa and immigration requirements from official government sources to ensure compliance.

Career outcomes

  • Data Scientist
  • Machine Learning Engineer
  • AI Research Scientist
  • Data Analyst
  • Business Intelligence Analyst
  • Product Analyst
  • Consultant in Data Strategy
  • Software Engineer specializing in AI

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