Big Data & Business Intelligence

Transform Data into Strategy. Drive Business Decisions. Master Big Data.

The Big Data & Business Intelligence MSc is designed for professionals looking to master data science, business analytics, and artificial intelligence to drive strategic decision-making in today’s digital economy. With businesses increasingly relying on data-driven insights, this program provides the analytical, technical, and managerial skills needed to leverage data for competitive advantage.

This MSc integrates machine learning, data visualization, predictive analytics, and business intelligence, preparing students for high-impact careers in consulting, finance, technology, e-commerce, and digital transformation.

Through a cutting-edge curriculum, hands-on industry projects, and international exposure, students will develop expertise in big data management, AI-driven business strategies, and data-driven decision-making frameworks.

MONTH FULL-TIME MBA

Intake: September

CAMPUSES

Versailles

KEY TOPICS OF CHOICE

Leadership

Sustainability

Entrepreneurship

LEARNING LABS

ACCELERATOR OPTIONS

NETWORKING

Luxury

Finance

Consulting

Product Management

Internship

Global Field Project

Venturing Project

Exchange with professionals

Download the brochure

Why Choose This Program?

Master the Science of Big Data & Business Analytics
Develop expertise in data science, machine learning, AI, and predictive analytics to drive business success.

Gain Hands-On Experience with Real-World Data
Engage in live data projects, business simulations, and machine learning challenges with top industry partners.

Global Exposure & Industry-Recognized Credentials
Participate in an international seminar, gaining insights into global data regulations, ethical AI, and emerging analytics trends.

Fast-Track Your Career in Data Science & Business Intelligence
Prepare for leadership roles in data-driven consulting, financial analytics, AI strategy, and digital transformation.

Network with Industry Leaders & Tech Innovators
Connect with data scientists, AI specialists, and business intelligence executives through company visits, networking events, and professional mentorship.

Who is This Program For?

This MSc is ideal for:

Aspiring data analysts and business intelligence specialists seeking to use data for business strategy, decision-making, and market forecasting.
Business professionals and consultants who want to leverage big data, AI, and analytics for digital transformation.
Finance, marketing, and tech professionals aiming to specialize in predictive modeling, machine learning, and automation.
Entrepreneurs and innovators looking to create AI-driven startups, fintech solutions, and data-centric business models.

With a focus on business applications of data science, predictive analytics, and AI-driven decision-making, this MSc prepares graduates for high-impact roles in finance, consulting, digital marketing, and technology.

A Curriculum Designed for Data-Driven Leadership

Throughout this 15-month program, students will gain expertise in:

Core courses covering big data management, business intelligence, and machine learning applications.
Specialized electives in AI, blockchain, data ethics, and cloud computing.
An international seminar exploring global trends in big data, cybersecurity, and digital transformation.
A professional internship or consultancy project, applying data science skills to real-world business challenges.

Class profile

Average age:

Average work experience:

100%

International students:

45%

Women:

Nationalities:

55%

Men:

Your Tailored Journey to Data-Driven Decision-Making

The Big Data & Business Intelligence MSc is a 15-month immersive program that provides students with technical, analytical, and strategic skills to leverage big data, artificial intelligence, and business intelligence tools for high-impact decision-making.

By integrating data science, business analytics, and machine learning, this MSc prepares graduates to extract meaningful insights from data, drive business strategy, and implement digital transformation.

Through a customizable curriculum, hands-on industry projects, and an international seminar, students gain expertise in data-driven innovation, predictive modeling, and AI-powered business intelligence.

Choose your specialization

Customizable Curriculum for Data Science & Business Intelligence

The program is structured into different learning phases, allowing students to develop both technical and strategic expertise in big data analytics.

Core Learning Pillars

Data Science & Machine Learning – Master AI-driven analytics, predictive modeling, and deep learning techniques.
Business Intelligence & Data-Driven Strategy – Leverage BI tools, data visualization, and decision support systems.
Big Data Technologies & Cloud Computing – Explore Hadoop, Spark, and cloud-based data storage solutions.
Data Ethics & Cybersecurity – Understand privacy regulations, compliance, and ethical AI applications.
Real-World Applications & Industry Integration – Gain hands-on experience through consulting projects, business simulations, and machine learning challenges.

Why This Program?

Develop High-Value Data Science & Business Intelligence Skills – Gain expertise in AI, predictive modeling, and business analytics.
Gain Global Insights & International Exposure – Participate in an international seminar focused on emerging AI trends and data ethics.
Connect with Data Scientists & Business Leaders – Network with tech executives, AI strategists, and business intelligence experts.
Fast-Track Your Career in Data Analytics & Digital Transformation – With hands-on AI projects, predictive modeling challenges, and industry partnerships, this MSc prepares you for high-impact roles in data science and business intelligence.

The Big Data & Business Intelligence MSc is designed for analytical thinkers, data-driven strategists, and AI innovators ready to transform industries with data science and predictive analytics.

Concretely, what is in this master

Foundation Phase (Duration: 6 months | Credits: 45 ECTS) Objective: Build a strong foundation in big data management, business analytics, and AI-driven decision-making. Courses: Big Data Management & Cloud Computing (6 ECTS) Machine Learning & Predictive Analytics (6 ECTS) Data Visualization & Business Intelligence Tools (6 ECTS) Database Management & SQL for Analytics (6 ECTS) AI & Automation in Business Strategy (6 ECTS) Data Ethics, Privacy & Cybersecurity (6 ECTS) Blockchain & Smart Contracts for Data Integrity (3 ECTS) Assessment: Case studies, data analytics simulations, and AI-driven business strategy reports.

Specialization Phase (Duration: 6 months | Credits: 30 ECTS) Objective: Deepen expertise in advanced analytics, AI applications, and industry-specific data science use cases. Specialized Electives: •Natural Language Processing (NLP) & AI in Business (6 ECTS) – Explore chatbots, sentiment analysis, and language models. •Marketing Analytics & Consumer Data Science (6 ECTS) – Leverage customer segmentation, digital marketing analytics, and recommendation algorithms. •Financial Data Analytics & Risk Prediction (6 ECTS) – Master credit risk modeling, fraud detection, and algorithmic trading. •Healthcare & Smart Cities Analytics (6 ECTS) – Apply data science to patient care, urban planning, and resource optimization. •Consulting & Data Strategy for Business Transformation (6 ECTS) – Work on real-life corporate data projects and AI-driven business cases. Assessment: Business intelligence implementation, machine learning model development, and predictive data analytics case studies.

Professional Mission or Data Consulting Project (Duration: 4-6 months | Credits: 15 ECTS) Objective: Apply data science expertise in a real-world business setting through an internship or business intelligence consulting project. Key Features: •Work with global tech companies, AI startups, fintech firms, and consulting firms. •Gain hands-on experience in big data analytics, AI-driven business transformation, or data-driven marketing. •Implement solutions in fraud detection, supply chain optimization, financial forecasting, or predictive healthcare. Assessment: Performance evaluation and final data strategy & analytics transformation report.

Master Thesis or AI-Driven Research Project (Duration: 2 months | Credits: 15 ECTS) Objective: Conduct an in-depth study on a strategic big data or AI business challenge, guided by faculty and industry mentors. Key Features: Research topics include AI-powered business models, ethical machine learning, and predictive analytics for corporate decision-making. Present findings and strategic recommendations to a panel of data scientists, business executives, and academic leaders.

Career Opportunities: Transform Data into Business Strategy

Graduates of the Big Data & Business Intelligence MSc are equipped with advanced analytical, technical, and strategic skills to succeed in data science, business analytics, AI-driven decision-making, and digital transformation.

With expertise in machine learning, big data management, predictive modeling, and AI applications, this MSc prepares graduates for high-impact careers in finance, consulting, technology, healthcare, retail, and digital marketing. Whether you aim to optimize business intelligence, develop AI-driven solutions, or lead data strategy for global corporations, this program provides the skills and industry connections to thrive.

$60 000

Average EU Post-master Salary

69%

Average post-master salary increase

89%

received a job offer within 6 months of graduation

40+ countries

spanning global tech hubs such as San Francisco, London, Berlin, and Singapore

Potential Roles

Data Scientist – Design predictive models and AI-driven algorithms to drive strategic decision-making.
Business Intelligence Analyst – Leverage data visualization and BI tools to provide actionable business insights.
Machine Learning Engineer – Develop AI-powered applications for automation, fraud detection, and recommendation systems.
AI Consultant & Digital Transformation Specialist – Guide companies in integrating AI and data science into business processes.
Financial Data Analyst – Utilize big data to predict market trends, optimize investments, and manage risk.
Marketing & Consumer Insights Analyst – Analyze customer data to personalize experiences, segment markets, and predict trends.
Supply Chain & Operations Data Analyst – Improve logistics, optimize inventory, and streamline operations using data analytics.
E-Commerce & Retail Analytics Manager – Develop AI-driven pricing models, customer retention strategies, and demand forecasting.
Cybersecurity & Risk Analyst – Detect anomalies, prevent fraud, and enhance digital security with AI-powered analytics.

Graduates also have opportunities in consulting, fintech, SaaS platforms, and data-driven entrepreneurship.

Industries Hiring Our Graduates

Big Data and AI are transforming industries, creating high-demand roles in:

Technology & Artificial Intelligence – Develop AI-powered automation, chatbots, and advanced analytics.
Finance & FinTech – Optimize algorithmic trading, fraud detection, and risk management.
Healthcare & Biotech – Use data science for medical imaging, patient analytics, and personalized treatments.
Retail & E-Commerce – Leverage AI for customer segmentation, inventory forecasting, and recommendation systems.
Consulting & Business Strategy – Provide data-driven insights for corporate digital transformation.
Cybersecurity & Risk Management – Detect threats and optimize security frameworks with big data analytics.
Supply Chain & Logistics – Enhance efficiency in transportation networks, procurement strategies, and logistics planning.

Graduates are sought after by global corporations, investment firms, startups, and multinational tech companies.

Career Support & Industry Networking

AES offers exclusive career services and professional networking opportunities to help students secure top positions in data science, AI consulting, and business intelligence.

Internship & Job Placement

Gain hands-on experience through a 4-6 month professional mission in data-driven industries such as fintech, e-commerce, AI, and consulting.
Access corporate recruitment programs, AI talent networks, and executive mentorship programs.

Career Development & Industry Coaching

One-on-One Career Coaching – Personalized guidance for data science job applications and technical interview preparation.
AI & Data Science Case Study Workshops – Training in predictive modeling, data visualization, and machine learning deployment.
Networking Events & Data Science Conferences – Meet AI leaders, machine learning specialists, and business intelligence executives.

Corporate Partnerships & Alumni Connections

Collaboration with Leading Tech & Finance Firms – Work with AI startups, fintech innovators, and Fortune 500 data teams.

Alumni Mentorship & Executive Networking – Connect with successful professionals in AI strategy, digital analytics, and business intelligence.

Notable Employers Hiring Our Graduates

Graduates have secured positions at top companies, including:

Tech Giants & AI Innovators – Google, Microsoft, IBM, OpenAI, Amazon Web Services (AWS)
FinTech & Investment Firms – JPMorgan Chase, Goldman Sachs, Stripe, Revolut, BlackRock
Consulting & Business Strategy – McKinsey, BCG, Accenture, Deloitte, PwC
E-Commerce & Digital Marketing – Meta, Amazon, TikTok, Shopify, Netflix
Cybersecurity & Risk Management – Palantir, Cisco, Cloudflare, CrowdStrike

With a strong foundation in business intelligence, AI applications, and predictive analytics, graduates excel in high-demand, high-paying careers in AI-driven industries.

Financing Your Agilityo MBA

An Investment in Your Future

Pursuing an MBA is a significant investment, both personally and financially. At Agilityo Executive School (AES), we are committed to providing you with the resources, support, and guidance to help you finance your education effectively.

Tuition and Fees

MBA Tuition Fees: €16,950
Application Fee: €130 (non-refundable)

Scholarships

AES offers a variety of merit-based scholarships to support outstanding candidates. Early applicants and those demonstrating exceptional academic, professional, or leadership potential have a greater chance of being awarded.

Available Scholarships

Early Bird Scholarship

Value: €5,000
Eligibility: Applicants who apply by January 13th, 2025, and demonstrate academic and professional excellence.

Women in Leadership Scholarship

Eligibility: Women with strong leadership potential, demonstrated through career achievements, responsibilities, and extracurricular involvement.

Sustainability & Innovation Scholarship

Eligibility: Candidates with significant contributions to sustainability, innovation, or entrepreneurial ventures.

Diversity and Inclusion Scholarship

Eligibility: Applicants who bring unique cultural perspectives, enhancing the cohort's diversity.

French-American Business Scholarship

Value: $10,000
Eligibility: American students pursuing business studies in France.

Campus France Scholarship

Value: Full scholarship, including a monthly allowance of €850, return flights, and priority access to student housing.
Eligibility: Candidates with international experience and multilingual abilities.

How to Apply for Scholarships

Scholarship applications are reviewed alongside your MBA application. Early applications are highly encouraged. Specific deadlines and eligibility criteria apply.

Education Loans

AES has partnerships with financial institutions offering student-friendly loan options. Loans are tailored to your needs and can cover tuition fees and living expenses.

Loan Options in France

Société Générale, LCL, BNP Paribas, BRED: Preferential rates for AES students. A guarantor living in France is required.

Prodigy Finance

International students can access loans without collateral or a co-signer, based on future earning potential.

Government-Sponsored Loans and Aid

Campus France: Explore funding opportunities specific to your home country, such as the Charpak Scholarship for Indian students.

Living Expenses

In addition to tuition, students should budget for living expenses in France. Estimated monthly costs for Versailles include:

Accommodation: €800–€1,200
Living Expenses: €350–€600
Transportation and Leisure: €200–€400
Total Monthly Estimate: €1,350–€2,200

Work-Linked Learning Opportunities

ApprenticeshipsAES offers apprenticeships that allow you to earn while you learn

Schedule: Alternate 3 months of study with 3 months in a company.
Duration: 2 years (extended program).
Benefits:
- 100% company-sponsored tuition.
- Monthly salary.
- Hands-on industry experience.

Admissions: Start Your Journey with the Agilityo MBA

Is the Agilityo MBA Right for You?

Our full-time Global MBA is designed for driven, high-potential professionals looking to make a transformative career leap. This intensive 12-month journey will prepare you to lead in a global environment, equipping you with the knowledge, skills, and network to thrive in today’s dynamic business landscape.

Hold a 4-year degree

240 ECTS or a Master's degree

+ 3 years of professional experience prior to the application

Hold a 3-year degree

180 ECTS or a Bachelor's degree

+ 3 years of professional experience prior to the application
+ VAPP application (Validation of Acquired Professional and Personal Knowledge)

Eligibility Criteria:

To apply, candidates should meet the following requirements:

Age: Minimum of 25 years old at the time of application (average: 30).
Professional Experience: At least 3 years of post-university work experience (excluding internships).
Educational Background: A 4-year Bachelor’s degree or equivalent (or 3-year degree with VAPP validation).
International Exposure: Experience working abroad or in a multicultural environment.
Aptitude Test Scores: A valid GMAT, GRE, Executive Assessment, or Tage-Mage score (preferred minimum GMAT: 585; average: 615).
English Proficiency: Advanced level demonstrated through TOEFL, IELTS, TOEIC, or Cambridge C1 (exemptions apply for native speakers or prior education/work in English).

If you feel that your application deserves to be evaluated (in the event of non-compliance with one or more of the criteria), please do not hesitate to write to us directly at contact@agilityo.com

Admissions Calendar and Rounds

Applications for the 2025 cohort are open from August 2024 to July 2025. We review applications monthly—apply early to benefit from scholarships and early bird offers!

Key Deadlines and Interview Periods

Round 1 Deadline: January 13, 2025 | Interviews: January 27-31, 2025
Round 2 Deadline: February 24, 2025 | Interviews: March 10-14, 2025

Important Notes:

GMAT/GRE/Executive Assessment/Tage-Mage and English tests may require several months of preparation. Plan and register early!
Candidates can apply without a completed aptitude test score but must provide results before enrollment to finalize admission and scholarships.

Application Process: How to Apply

Follow these steps to start your journey at Agilityo:

Step 1: Create Your Account

Register on our Online Application Portal.
Receive your unique ID and password via email.

Step 2: Submit Your Application

Complete the application form at your own pace. Upload the following documents:

Professional CV/Resume (1–2 pages).
Copy of passport or ID.Passport-style ID photo.
Scholarship essay (if applicable).
Two professional reference letters.
Academic transcripts and degree certificates (official English/French translations required if applicable).
Aptitude test scores (GMAT, GRE, EA, Tage-Mage).
English proficiency test scores (TOEFL, IELTS, TOEIC, Cambridge C1).
Application fee: €130 (non-refundable).

Step 3: Interview

Shortlisted candidates will be invited to a 30–40-minute interview (in person or virtual). Showcase your motivation, career goals, and why you’re a great fit for the Agilityo MBA.

Step 4: Admission Decision

Receive your admission decision within 7–10 days of the interview. Confirm your spot by paying a €5,000 deposit within two weeks of receiving your offer.

Why Choose the Agilityo MBA?

Accelerated Career Growth: Gain the tools and network to achieve your professional goals.
Global Perspective: Study in France’s prestigious Versailles campus with access to international opportunities.
Tailored Curriculum: Customize your MBA with electives, Career Learning Labs, and hands-on projects.
Dedicated Support: Receive personalized coaching and access to an extensive alumni network.
Scholarships and Financial Aid: Early applicants benefit from up to €5,000 in scholarships.

Big Data & Business Intelligence

Why Choose This Program?

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Who is This Program For?

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A Curriculum Designed for Data-Driven Leadership

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