Data Science for Social Sciences Toulouse 1 Capitole University

Overview

Toulouse 1 Capitole University is renowned for its commitment to excellence in education and research. The university ranks highly in various academic fields, particularly in economics and social sciences. Students benefit from strong partnerships with industry leaders, providing them with access to cutting-edge facilities and resources. The programme is designed to foster a collaborative learning environment, integrating theoretical knowledge with practical applications, which is vital in today's data-driven world.

For international students, the annual tuition fee is set at EUR 3,941. European students are required to pay a significantly lower fee of EUR 220 per year. This structure ensures that the programme remains accessible to a diverse student body. Visit the Fees and Funding section for a breakdown in your local currency.

The curriculum is structured over two years, with a focus on both theoretical foundations and practical applications. The first year includes compulsory courses such as:

• Probability and Statistics for Data Science
• Software for Data Science (R, Python, Julia)
• Intermediate Econometrics
• Applied Econometrics
• Introduction to Convex Optimisation for Machine Learning

Students also choose from elective courses, such as:

• Markov Chains and Applications
• Understanding Real World Organisations
• Market Power & Regulation

The second year delves deeper into advanced topics, including:

• Foundations of Machine Learning
• Stochastic Methods for Optimisation and Sampling
• High Dimensional Data Analysis and Machine Learning
• Spatial Econometrics
• Web Mining

Additionally, students can engage in internships or master theses, offering a chance to apply their knowledge in real-world settings.

The demand for data professionals is surging across various sectors, including finance, healthcare, and social research. Graduates from this programme are well-equipped to meet the needs of employers looking for skilled data analysts and scientists.

The programme offers an apprenticeship track, allowing students to gain valuable work experience while completing their studies. This practical approach enhances employability and prepares students for the challenges of the job market.

Graduates of the M.Sc. in Data Science for Social Sciences are poised for successful careers in diverse fields. Alumni have found roles as data analysts, project managers, and consultants in leading organisations across the banking, insurance, and technology sectors. The skills acquired during the programme enable graduates to tackle complex data challenges and contribute effectively to their chosen industries.