Economics and Management - Applied Data Science University of Lucerne

Overview

The specialisation in Applied Data Science equips students with essential skills to harness data for informed decision-making in economics and management. By integrating statistical methods and machine learning techniques, students learn to address complex questions such as forecasting sales and analysing social media impacts on well-being. The curriculum is structured to provide a robust foundation in both traditional statistical analysis and contemporary machine learning approaches, ensuring graduates are well-prepared to operate at the intersection of data science and management.

The University of Lucerne is renowned for its commitment to academic excellence, reflected in its strong rankings and partnerships with industry leaders. The faculty boasts state-of-the-art facilities and resources, fostering an environment conducive to innovative learning and research. This programme is particularly distinguished by its practical focus, enabling students to apply theoretical concepts in real-world scenarios.

For the Master of Science in Economics and Management with a specialisation in Applied Data Science, the tuition fees are structured as follows:

• National Students: CHF 815 per semester
• International Students: CHF 1,115 per semester

Visit the Fees and Funding section for a breakdown in your local currency.

The curriculum encompasses a variety of modules designed to provide both theoretical knowledge and practical skills:

• Technical Foundations
• Toolkits and Architectures
• Introduction to Computer Science and Programming
• Data Handling in R and Python
• Database Management
• Traditional Statistical Methods
• Quantitative Methods (logit/probit, survival analysis)
• Workshop in Applied Data Analysis
• Supervised Machine Learning
• Unsupervised Machine Learning
• Machine Learning in Marketing
• Causal Machine Learning
• Data Visualisation
• Introduction to Business Analytics
• Digital Ethics

Graduates of this programme are well-positioned for diverse roles in data analytics across various sectors. They find opportunities in consulting firms, large corporations, start-ups, government agencies, and market research companies. With a comprehensive understanding of economics and management principles, combined with technical expertise in data science, alumni can effectively bridge the gap between data specialists and traditional business professionals.

According to the World Economic Forum's Future of Jobs Report, the demand for Data Analysts and Scientists is expected to surge, highlighting the importance of this field in the evolving job market.