Master in Data Analytics, Intelligence and Security

The Master in Data Analytics, Intelligence and Security provides future managers with data science and analytical skills to collect, explore and synthesise relevant Business & Finance data, leveraging the power of emerging AI technologies to improve managerial decisions throughout the organisation.

Highlights of the programme:

> Learn to leverage the power of emerging technologies and data analytics.

> Unlock your career opportunities in three key areas of management driven by data & technology (finance, supply chain, marketing).

> Join a programme taught by passionate professionals and researchers involved in two leading research centres on Supply Chain and Finance.

> Prepare for a successful, international career by studying on a campus with a unique blend of internationalisation and innovation.

> The programme has the grade of Master and is certified RNCP level 7.

Programme

Programme certification

Master in Data Analytics, Intelligence and Security, diplôme supérieur en analyse, intelligence et sécurité des données, RNCP 39273, Level 7, certified by Rennes School of Business Group and the French Ministry of Higher Education and Research, expiry date 31/08/2028.

Format & Campus

Full time: Rennes

Duration

2-year (M1+M2) or 1 year (M2)

Double Degree with: MSc in Financial Data Intelligence or MSc in Data and Business Analytics

Financial Data Intelligence Track:

> Deep Learning & Neural Networks for Finance

> Coding and Data Science

> Financial Data Infrastructure and Text Mining

> Financial Engineering and Commodity Trading

> Block Chain and Crypto Assets

Data & Business Analytics Track:

> Big Data and Business Analytics

> Data Project Management

> Case Studies in BA Ethics and Risk

> Data Driven Demand Planning (D3P)

> Harnessing AI for Business

Methods used and evaluation

The pedagogy implemented in the different modules is adapted to the different learning objectives. Active teaching methods are favoured, and co-modal methods are developed. Group sizes are small, allowing for privileged interaction, both among peers and with professionals and teacher-researchers.

The programme is assessed through two main methods of validation:

> Module assessment (continuous and final assessment): assessments are carried out throughout the course in the form of individual or group projects and end of semester examinations;

> The Graduating Project: submission of a dissertation written under the supervision of an  academic tutor.

At the end of the course and after validation of all programme requirements, the certification is awarded to the participants. If certain modules have not been validated and therefore the credits have not been obtained, the student must take resit examinations to catch up on these credits during the periods provided for this purpose.

Specialisations

> The M2 in Financial Data Intelligence fosters an advanced understanding of finance in the age of data and artificial intelligence. Students will become innovative leaders in the global financial landscape, leveraging the power of emerging technologies and data analytics.

> The M2 in Data and Business Analytics provides a comprehensive education in data-driven decision-making across various domains, in particular the supply chain and marketing fields.

Career opportunities

> Financial Analyst

> Data Scientist

> Credit Analyst

> Data Flow Specialist

> Business Intelligence Manager

> Operations Manager