MSc in Data and Business Analytics

Degree awarded: Master of Science + Grade de Master Diplôme Supérieur en Analyse, Intelligence et Sécurité des Données Level 7 RNCP Title No. 39273

Format: Full-time
Duration : 1 or 2 years
Languages : English
Campus : Rennes

Maximize your career prospects with our MSc in Data & Business Analytics, blending business knowledge and technical expertise. The programme emphasises essential data skills and advanced programming to tackle complex analytics challenges. Gain hands-on experience with cutting-edge tools through exclusive partnerships. You will develop the ability to interpret data for strategic business decisions, preparing for international careers in fields such as Marketing, Commercial, and Supply Chain Analytics.

Programme

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Master Year 1 (M1)


CORE COURSES*

  • Introduction to Programming Language
  • Managing Diversity: an International Perspective
  • Change Management in a Digital & Sustainable World
  • Introduction to Business Analytics
  •  Open Strategy for an Uncertain World
  • Statistics & Data Analysis

SPECIALISATION*

  • Data Management
  • Decision Science
  • Introduction to Data Analytics specialisation
  • Introduction to AI & Machine Learning
  • Time Series Analysis
  • Data Analytics Project
  • Introduction to Deep Learning
  • Research Methods

*Subject to change

LANGUAGES

  • French Language & Culture for non-fluent French speakers
  • Initiation to Spanish/Italian/Chinese/Arabic for fluent French speakers

PROFESSIONAL EXPERIENCE

  • 2-month internship minimum (in France or abroad)


Master Year 2 (M2)


SPECIALISATION*

  • Case Studies in Business Analytics, Ethics & Risk
  • CRM Systems with AI integration
  • Data Project Management
  • Harnessing AI for Business
  • AI & Marketing
  • Data Science Toolbox
  • Data Driven Demand Planning
  • Decision Models for Supply Chain Planning
  • Learning Expedition
  • Social Media Intelligence
  • Retail Analytics
  • Big Data & Business Analytics

*Subject to change

RESEARCH

  • Graduating Project

PROFESSIONAL EXPERIENCE

  • 4-month internship minimum (in France or abroad)

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 the following 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; and
  • Completion of an internship and submission of an evaluation (pass or fail).

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.

Admission

ACADEMIC BACKGROUND

2-YEAR MSc (M1):

  • 3-year bachelor’s degree

1-YEAR MSc (M2):

  • 4-year bachelor’s degree or 3-year bachelor’s degree with a minimum of 3 years of professional experience*
    *VAPP process required

ENGLISH REQUIREMENT

  • TOEIC score of 785, IELTS score of 6.0, TOEFL score of 80, Cambridge B2, or completion of the last two years of education in English.
    NB: An official test with a minimum score of TOEIC>800, TOEFL>80, or IELTS>6.5 is required for graduation

ADMISSION PROCESS

  1. Apply 0nline
    Submit scanned copies in English of your CV, a letter of recommendation and transcripts encompassing all years of your prior degree.
  2. Online Interview
    Eligible candidates will be invited to an online interview featuring pre-recorded questions.

Rennes School of Business is committed to a non-discriminatory admissions policy and to actively promoting diversity of profiles.

Career

This programme is primarily aimed at students who want further training at a master’s level to pursue a professional career path in data and business analytics.

Possible professions include:

  • Financial Analyst
  • Data Scientist
  • Credit Analyst
  • Data Flow Specialist
  • Business Intelligence Manager
  • Operations Manager

You will be supported by the Rennes SB Career Centre and the Alumni Network, which provide professional mentoring, networking events and business advice.

Student life

The Rennes School of Business community is centred around its 5,000 students. The School, particularly its Student Care team, is dedicated to student life and well-being on campus.
During their studies at Rennes SB, students do not just benefit from an exceptional learning environment, they become part of a unique student experience, driven by the School’s values: Audacity, Openness, Creativity, Humility, Commitment and Freedom!

Students with disabilities

Rennes SB is committed to fighting against all forms of discrimination and inequality, in order to ensure that all of our students are given equal opportunities to succeed.
To meet this objective, we have put in place specific measures to welcome and support students with disabilities.

Fees & Finance

Fees*:

  • 24-month format: €28,000
  • 12-month format: €18,000

*subject to change

Fee structure and funding:
How can I finance my programme?

“So, are you convinced?”
Any questions about your eligibility? Contact your admissions advisor