MSc Data Management, AI & Financial Strategy

The Master of Science in Data Management, AI & Financial Stratification is taught in French on three of our campuses (Bordeaux, Lyon and Paris).

Yes, work-linked training is at the heart of the MSc Data Management, AI & Financial Strategy. Students can apply for apprenticeship or professionalisation contracts in the fields of finance, data, artificial intelligence, risk analysis and financial strategy, with financial institutions, innovative companies, specialist consultancies or financial market players.

Depending on the campus, there are several options: 3 days at the company / 2 days at the school or 1 week at the school / 3 weeks at the company. This format enables you to finance your studies while developing solid professional experience in finance, data and applied AI.

To ensure that students have access to the best opportunities, the school provides personalised support and organises monthly job fairs to enable them to meet recruiters and key players in the finance, data, AI and financial strategy sectors.

Yes, the Master of Science in Data Management, AI & Financial Strategy delivers a level 7 RNCP title “Expert in Financial Strategy” (number 40177), recognised by France Compétences and the Ministry of Employment.

This professional certification attests to the quality of the teaching offered by the INSEEC Group’s schools and promotes the professional integration of graduates in the fields of finance, data management, artificial intelligence, risk management and financial modelling. The programme prepares profiles capable of rapidly moving into positions of responsibility in organisations faced with the growing challenges of performance, compliance and innovation.

Find out all the details of this recognised qualification on our website, which opens the door to a wide range of career opportunities in finance, data, AI and financial strategy.

The Corporate Relations and Alumni Department supports students throughout their career in their search for work-study placements and jobs through :

The school also provides housing assistance services to help students find accommodation close to their campus. At the same time, the school’s network of 120,000 alumni helps students to enter the world of work, giving them the opportunity to discover the careers of graduates working in finance, data management, AI, risk analysis and financial innovation.

Graduates are sought by :

Our network of 10,000 partner companies offers a wide range of work-study opportunities in the finance, data management, artificial intelligence and risk analysis sectors. These companies regularly seek out students from the programme for their skills in financial data, predictive modelling, programming, risk management and financial strategy.

At the company forums organised on each campus, you can find out about all the career opportunities in these growth sectors.

The duration of the MSc Data Management, IA & Financial Strategy varies according to the level of admission: two years for Bac+3 graduates entering the first year, and one year for Bac+4 graduates admitted directly to the second year of the Master of Science. The course is taught on several campuses in France, offering students a programme tailored to their profile and geographical constraints.

The programme enables students to acquire all the skills needed to become experts in the digital supply chain, strategic purchasing and AI applied to operations. This 5-year post-graduate course offered by INSEEC prepares you effectively for positions of responsibility in logistics, the supply chain, purchasing and organisational transformation.

INSEEC has made accessibility an integral part of its institutional policy. Each campus has a dedicated disability advisor, responsible for providing individualised support throughout the course.

The infrastructure complies with current accessibility standards. The referral manager oversees the implementation of educational, material and organisational changes, in conjunction with the school’s departments.

This approach aims to provide each student with a suitable learning environment. The contact details of the student advisor are available on the contact page of your campus.

The main objective of the programme is to train professionals capable of managing projects at the intersection of finance, data and artificial intelligence, and to support companies in their financial analysis, risk management, modelling and transformation of the financial sector. The course provides solid skills in data management, financial data analysis, Python, R, SQL, artificial intelligence, scoring, fraud detection and financial strategy.

The skills acquired will prepare you for careers with responsibilities in finance, data, AI applied to finance and risk management. The Master of Science also develops the strategic, analytical and relational skills that are essential for moving into positions such as financial data analyst, risk manager, financial strategy consultant, credit data analyst or data project manager in finance.

Links with other professional qualifications, certifications or authorisations.

Yes, INSEEC relies on a network of 120,000 active alumni worldwide, many of whom are graduates working in the fields of finance, data, artificial intelligence, quantitative analysis and risk management. This network is a real lever for professional integration, mentoring and the development of career opportunities in market finance, financial data and financial innovation.

The Group’s schools also offer continuing education courses to enable former students to update their skills, strengthen their expertise and explore new specialisations in finance, AI, programming, data analysis and financial strategy.

Many alumni now hold positions of responsibility in finance, data, predictive modelling, risk management or the management of data projects in a financial environment, and regularly share their experience with the students. These exchanges reinforce the professional dimension of the programme and help to link the teaching of the Master of Science to the concrete challenges of the financial sector.