The Master in Finance Technology Data (FTD) is a two-year program designed for students interested in the intersection of finance, data science, and technology. It aims to equip graduates with the skills needed to understand and navigate the evolving landscape of financial innovation driven by new technologies. The program explores critical questions about the future of financial systems, the impact of Big Data and machine learning on risk management, and the role of Fintech in disrupting traditional banking. Students will develop technical and research skills through practical projects and a Master’s Thesis, benefiting from a faculty comprised of academic researchers and industry experts. The curriculum includes hands-on experience with programming languages like Python, exploring areas such as blockchain technology and large language models. Delivered primarily in English, this Master's program follows a work-study format, allowing students to gain professional experience through apprenticeships in various financial sectors. Graduates are prepared for roles in banks, insurance firms, stock exchanges, consulting companies, Fintech start-ups, and central banks, fostering a strong foundation for careers in financial innovation.
The program provides a robust understanding of financial and economic theory, combined with practical data science and programming skills. It covers asset pricing, risk management, quantitative finance, and econometrics, with a specific focus on technological impacts. Students will gain proficiency in Python for data analysis, machine learning, and blockchain applications. The curriculum also delves into the global Fintech landscape through case studies and guest lectures.
Graduates of the Finance Technology Data program are well-prepared for a variety of roles in the rapidly evolving financial industry. The combination of financial expertise, data science skills, and technological understanding opens doors to diverse career paths.
Specific requirements may vary. Candidates should have a solid academic background and demonstrate a strong interest in finance, technology, and data analysis. Proficiency in English is essential as the program is taught in English.
As a public institution in France, Paris 1 Panthéon-Sorbonne University typically has lower tuition fees compared to private institutions, especially for EU students. However, specific fees for this Master's program, particularly for international students, need to be verified directly with the university.
The program awards a Master's degree (Diplôme National de Master), which is a nationally recognized qualification in France.
The Master in Finance Technology Data (FTD) is a two-year, English-taught program at Paris 1 Panthéon-Sorbonne University, focused on the intersection of finance, data science, and technology. It equips students with skills for financial innovation through practical projects and a Master’s Thesis.
Applicants need a Bachelor's degree in Economics, Finance, Mathematics, Statistics, Computer Science, or a related field, with strong academic performance. Proficiency in English is essential, as the program is taught in English.
This is a two-year Master's program designed with a work-study format, allowing students to gain professional experience through apprenticeships.
The Master in Finance Technology Data program is delivered primarily in English.
Graduates can pursue roles such as Quantitative Analyst, Data Scientist in Finance, Fintech Business Analyst, Risk Manager, or Blockchain Developer, working in institutions like banks, Fintech start-ups, or consulting firms.
Tuition fees for international students are not specified. As a public university, Paris 1 Panthéon-Sorbonne typically has lower fees than private institutions, but specific program fees should be confirmed directly with the university.