The MSc Data Analytics for Business at KEDGE Business School is a specialized master's program equipping students with advanced data analytics skills tailored for business applications. It blends technical proficiency in data science with strategic business acumen, delivered through a rigorous curriculum focused on real-world problem-solving.
Duration: Typically 1-2 years, full-time format.
Key focus: Data-driven decision-making, machine learning, and business intelligence.
Campus: Multi-site options across KEDGE's international locations.
Academic & Pedagogical Intent
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The program aims to develop experts in leveraging data for business innovation, with learning goals centered on analytics tools, predictive modeling, and ethical data use. Teaching combines lectures, hands-on labs, case studies, and collaborative projects.
Structure: Core modules in programming (Python/R), statistics, big data, and business strategy; electives in AI and visualization.
Practical elements: Group projects, capstone challenges with industry data.
Assessment: Exams, portfolios, presentations; international exposure via exchange options.
Target Profile
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Designed for graduates with a quantitative background seeking to pivot into data roles in business. Ideal candidates have a bachelor's in business, engineering, math, or related fields, with strong analytical mindset and interest in tech-business intersection.
Expected skills: Basic programming, statistics; motivation for data strategy.
Personas: Recent grads aiming for analytics consultancy; professionals upskilling in digital transformation.
Admissions emphasize GMAT/GRE scores and relevant experience where stated.
Career Outcomes
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Graduates target roles like data analyst, business intelligence specialist, or analytics consultant in sectors such as finance, retail, and consulting. Program highlights internships and capstone projects for practical exposure.
Key trajectories: Data strategist, AI business developer; progression to senior analytics leadership.
Internships: Mandatory placements with partner firms for hands-on application.
How is this program different from others?
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This program stands out through KEDGE's industry-integrated pedagogy, featuring exclusive partnerships for live projects and cutting-edge tools like Tableau and Hadoop. Key positioning includes triple-accredited status, international mobility, and faculty from data science and business.
Differentiators: Emphasis on ethical AI and business impact; alternance options for work-study.
Selective cohort with diverse professional backgrounds enhances peer learning ecosystem.
