Master Data Analytics & Artificial Intelligence

Program Overview

The MSc in Data Analytics & Artificial Intelligence at EDHEC Business School equips graduates with data science and business management skills to bridge the gap between the engineering and business worlds. The 18-month program emphasizes critical thinking, programming, and quantitative analysis, preparing students for roles in data-driven industries. Graduates are highly sought after by companies seeking professionals who can combine business insight with data analytical expertise.

Program Outline

Degree Overview:

The MSc in Data Analytics & Artificial Intelligence at EDHEC Business School aims to bridge the gap between the engineering/computer science world and the business world. The program equips graduates with the data science knowledge and skills to utilize and monitor new, disruptive technologies, placing them at the heart of corporate decision-making. It targets talented graduates with strong quantitative skills, preparing them for roles requiring programming, quantitative analysis, critical thinking, and business management. The program director, Cédric Verbeeck, emphasizes the need for professionals who combine business insight with data analytical skills, a demand increasingly prevalent in consulting and data-driven industries like those utilizing blockchain and Industry 4.0 technologies. He explains that AI, at its core, is a combination of statistics, coding, and programming, involving probability-based decision-making. The program is designed to help students develop these crucial data skills early in their careers. The MSc is accredited by the French Ministry of Higher Education and Research, conferring a recognized BAC+5 degree with the Master's Grade.

Outline:

The 18-month full-time program consists of a one-year academic program followed by a 4-6 month internship or work placement. It's taught entirely in English and includes foundation courses, core modules, electives, a Master's project, and French classes.

• Foundation Courses (July-August, online): Students choose three from five options based on their background: Corporate Finance & Asset Markets, Fundamentals of Stats and Data Science with Python, Financial Analysis & Valuation, Marketing Management, and Strategic Management.
These courses provide a solid grounding in finance, statistical modeling, financial accounting, marketing principles, and strategic decision-making.
• Core Modules (September-February): These mandatory modules cover Business Ethics & Big Data (analyzing ethical implications of big data), Data Mining (methods and applications using Python), Data Visualization with Power BI (creating dashboards and visualizations), Machine Learning (basic models and applications), Python Programming (data analysis and visualization), Research Methodology (business research process and application to the Master's thesis), Statistical Models (linear regression and model selection), and Web Analytics (digital marketing principles and tools).
• Specializations (September-February): After core modules, students choose a specialization track:
• Data Science: Covers business data management, deep learning, data science projects for business, natural language processing, and time series analysis.
• Personalization Period (March-May): Students choose electives from a list (Behavioral science for sustainability, Business models for sustainability, Data analytics with Python for starters, Inside the sport industry, Introduction to sustainable finance, Responsible AI & data protection, Selling and sales management, Strategic cost & performance management, Managing risks, compliance & human rights, Marketing intelligence for luxury, Sustainable marketing, VBA for Excel, Customer & data analytics, Economic crime, fraud and money laundering, Is our digital & tech world sustainable?, Luxury brand management, Global justice & human rights, Inside the gaming industry, Managing diversity & inclusion, Risk management, Sustainable textile), complete a certificate (Reflexive and Positive Leadership, Leading SAFe® & Product owner, Foresight Innovation & Transformation, Project management), and participate in a learning expedition (Business-oriented Data Analytics and Machine Learning in Dublin, Entertainment Management in Sofia, Strategy in Tech in Krakow).
• Master's Project: A final project allowing students to apply their knowledge and skills.
• Internship (June onwards): A 4-6 month internship or work placement.

Teaching:

The teaching methodology incorporates a core curriculum, blended learning (tutorials, lectures, workshops, seminars), applied learning (business games, case studies, entrepreneurship projects), and personal performance coaching (interviewing strategies, teamwork development, intercultural communication skills). The program utilizes third-party software like Google Analytics, Celonis, Tableau, Power BI, Keras, and Snowflake. While certificates in these software packages are not mandatory, they are encouraged. The faculty list includes numerous professors and researchers from various departments (Marketing, Strategy, Entrepreneurship & Operations, Management & Humanities, Data Science, Economics & Finance, Accounting, Control & Legal Affairs) with expertise in diverse areas relevant to the program.

Careers:

The program prepares graduates for roles such as business intelligence analyst, data & knowledge engineer, digital analytics consultant, data scientist, data scientist manager, digital data analyst, supply chain analytics & customer development, and digital innovation/transformation officer. EDHEC's Career Centre provides support with career coaching, workshops, and access to job opportunities. The Career Booster program helps students map out their career goals and develop relevant skills. Key recruiters include Accenture Labs, Airbus Helicopters, Amazon, Criteo, Ekimetrics, KPMG, Microsoft, Nike, Salesforce, and Publicis. Job locations are primarily in Europe (85%), with 15% in the Asia-Pacific region.

Other:

The program is ranked 4th in Masters in Business Analytics in France (QS 2023) and 7th in European Business Schools (Financial Times 2024). EDHEC's Career Services & Alumni Network is ranked 1st in France (Master in Management ranking - Financial Times 2024). The average age of students is 23, with an age range of 21-26. The class profile shows 34% female and 66% male students. The program emphasizes the importance of data in business strategy and aims to bridge the gap between data specialists, IT managers, and decision-makers. The EDHEC Alumni Association provides lifetime access to a network of 55,000 graduates in 140 countries. The program also offers complementary French courses for international students.

APPLICATION FEE: €100 FEES: €27,300 FEES INCLUDE: Tuition fees; including academic exchanges and double degrees (certain double degrees may require additional fees) Access to the EDHEC Career Centre with personal career coaching during your studies and for the duration of your professional life Access, as a matriculating student, to on-campus facilities (incubator, learning centre, sports facilities, etc.) Lifetime access to the EDHEC Alumni community Administrative fees All of EDHEC's full-time MSc programmes are accredited by the CEFDG at master’s grade. Enrolled students are eligible for a Provisional Resident Permit (or APS for Autorisation Provisoire de Séjour) at the end of the programme.