Data Science University of Applied Sciences and Arts Northwestern Switzerland

Overview

The Data Science specialisation at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW) is tailored to meet the demands of the data-driven landscape in various sectors, particularly in life sciences. This programme emphasises the integration of cutting-edge scientific innovation with industry needs, ensuring that students are well-prepared for the challenges of the modern job market. With a focus on both theoretical knowledge and practical application, the curriculum is designed to foster expertise in analysing and interpreting complex biological, chemical, and pharmacological data.

FHNW is recognised for its strong emphasis on research and collaboration with industry partners, providing students with access to state-of-the-art facilities and resources. The university's commitment to innovation and excellence is reflected in its high-ranking programmes and the success of its alumni in various sectors. The Data Science specialisation is particularly noted for its relevance to current trends in the life sciences, making it a valuable choice for prospective students.

For international students, the tuition fee is CHF 5,000 per semester, while domestic students pay CHF 750 per semester. Visit the Fees and Funding section for a breakdown in your local currency.

The curriculum for the Data Science specialisation includes a comprehensive range of modules designed to equip students with essential skills:

• Computer and Software Architectures
• Programming, Algorithms and Data Structure
• Data Bases
• Computational Modelling Project
• Deep Learning
• Human Machine Interaction and Bias Mitigation
• Artificial Intelligence in Drug Discovery

Students can also choose electives from a diverse selection, including:

• Genomics
• Biomarker
• Proteomics and Protein Analytics
• Advanced Mass Spectrometry
• Molecular & Translational Imaging
• Process Automation
• Laboratory Automation in the Pharmaceutical Industry
• Process Analytical Technology

Additionally, core competencies such as data handling, experimental design, and business administration for life sciences are integral to the curriculum.

The programme includes an eight-month research thesis, providing students with invaluable experience in addressing real-world challenges within an industrial or academic setting.

Graduates of the Data Science specialisation are well-equipped for diverse career opportunities in industrial, research, academic, and clinical environments. They can pursue roles such as data analysts, data scientists, and research scientists, contributing to advancements in drug development, molecular diagnostics, and more. Alumni have successfully integrated into leading companies and institutions, reflecting the programme's strong industry connections and relevance.