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MSc Data Analytics for Business


Location

Study Format

On Campus

Course language

English

Study Fields

Business, Data Science

Duration

1 Year

Academic pace

Full Time

Degree

Master of Science (MSc)

Tuition Fee

Request info

Program Description

This Master of Science programme prepares students to become professionals with the ability to bridge the gap between data specialists and processing techniques with various business sectors. Graduates emerge as experts in data analytics and the digital transformation of companies. THE OBJECTIVES OF THIS TRAINING IN DATA ANALYTICS Artificial intelligence (AI), machine learning, and business analytics techniques are increasingly crucial for companies, enabling them to innovate and establish new, value-driven ventures. However, as these technical specialties evolve, a critical gap has emerged: the need for professionals capable of bridging the divide between data specialists and other business sectors. The Master of Science (MSc) in Data Analytics for Business is founded on three fundamental pillars essential for the successful digital transformation of companies: Modelling, based on machine learning and business analytics techniques, empowering companies to enhance operational excellence and develop new business models. Understanding information systems, which serve as the infrastructure for deploying these models. Profound knowledge of the company's businesses and major functions, guiding project initiation and application utilisation.


About the School

KEDGE Business School is a top French management institution with campuses in France and abroad. It offers a wide range of programmes focused on innovation, sustainability, and global engagement. Triple-accredited (EQUIS, AMBA, AACSB), KEDGE prepares future leaders through research-led teaching and experiential learning. The school upholds five core values: excellence, integrity, openness, sustainability, and innovation.

Admission Requirements

Short Track (4 years + of higher education): - Level of studies: M1 completed, or an International Bachelor's degree (Bac+4), or an equivalent of 240 ECTS credits, - Level of English : TOEIC (785) / TOEFL IBT (79) / IELTS (6) / Cambridge First (160) (B2) / Cambridge Advanced (180) (B2) / Duolingo (105) / PT Pearson (50) / Linguaskill (169) - exemption for native English speakers or applicants with at least one year of work experience in an English-speaking country.  Long Track (3 years + of higher education): - Level of studies: 3 years of higher education attested by a diploma or an equivalent of 180 ECTS credits, - Level of English: Language score is optional to enter the Long Track, but compulsory to enter the specialisation year of the MSc. Validation of Personal and Professional Experience (VAPP) You would like to resume your studies by integrating our MSc, Master of Science even though you do not have the diplomas normally required to access it? The Validation of Personal and Professional Experience (VAPP) allows people who does not have the required qualifications or diplomas to access the different levels of higher education.


Scholarship Opportunities

At KEDGE, we strongly believe that students shouldn’t abandon their education projects because of funding problems. This is why we have launched a financial support plan tailored to international candidates' backgrounds, countries of origin, situation, and prior educational achievements:

  • Early Bird discount for early completion of your application: 10% before November 30 and 5% before February 29.
  • Excellence scholarship based on merit
  • Solidarity scholarship, a grant on social criteria
  • Diversity scholarship intended for students hailing from a range of international, cultural, or social backgrounds
  • Partner scholarships for applicants joining the school via a “pathway agreement” with a partner institution
  • Alumni scholarship for alumni wishing to pursue further education at the school
  • Welcome to France scholarship, for talented international students applying before April 10th

Career Opportunities

  • Project management and project management assistance
  • Project manager and product owner
  • Consultant, advisor in AI development
  • Manager of data scientists
  • Business engineer in the field of AI
  • Digital transformation
  • Data governance
  • Data analyst
  • Business analyst

Ranking & Accreditation

Triple-accredited (EQUIS, AMBA, AACSB)

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