Big data, Marketing and Management
⚠️ Attention : cette formation ne semble actuellement plus dispensée ⚠️
The Master of Science in Big Data, Marketing & Management (D2M) at Toulouse Business School, aims at providing a solid multi-disciplinary training to help equip i students with the necessary skill sets to solve today’s marketing problems and become an essential part of their future companies’ decision-making process.
The program relies on an innovating, problem-based, pedagogical approach merging the disciplines of marketing, business analytics, and computer science. Through a close collaboration with more than a dozen industry leaders, startups, and associations, the program confronts students, from the very beginning of the program, with the reality and multi-layered complexity of data-driven marketing and marketing analytics.
This Master of Science prepares you for the following job categories:
- Data Analyst
- Data Strategist
- Data Planner
- Marketing Scientist
- Big Data Consultant
- Data Scientist
- Marketing Strategist
- Expert/Analyst in marketing analysis/ marketing research/CRM/ credit analysis
- Business Data Analyst
- Data Enabler
- Data Visualization Consultant
- Marketing Data Analyst
- Customer intelligence manager
- Operational researcher
- Business Intelligence Consultant
- Data Manager
- Social Data Analyst
8 Course units:
Data-driven Business & Society
Objective: The successful student will be able to describe and analyse the specificities and challenges induced by the big data phenomenon.
Big Data Analytics
Objective : The successful student will be able to prepare the data, to build and estimate models and to extract insight from huge structured and non-structured datasets.
Objective: The successful student will be able to explain the key challenges and latest trends in both consumer behaviour and marketing innovation.
Objective: The successful student will be able to solve marketing problems by applying the most important techniques that are used in data-driven marketing.
Machine Learning & Artificial Intelligence
Objective: The successful student will be able to solve marketing problems and get insights from data by implementing artificial intelligence techniques (including Machine Learning and Deep Learning).
Big Data Programming
Objective: The successful student will be able to write advanced computer programs to analyse vast amounts of data.
International Perspective in Big Data, Marketing Analytics and Artificial Intelligence
Objective: The successful student will be able to build their own professional network and to facilitate their professional international integration.
Business Analytics and Artificial Intelligence Research Methods and Dynamics
Objective: The successful student will be able to write a high-quality scientific report on a topic related to data sciences, business analytics or artificial intelligence.
Soft Skills Certificate
2 Courses units:
Management and leadership skills
Objective: Acquire nine key competencies to lead teams and manage your professional career.
Objective: Reveal your talent and make evolutionary choices in accordance with your deep aspirations.
For the account of prestigious TBS partner companies, students, coached by the professors, carry out a strategic diagnosis aiming to analyze its competitive position, then propose strategic and operational recommendations to meet its challenges
Objective: Increase your brain agility to anticipate and solve complex business issues in your field of expertise.
In-company Work experience
Students may carry out an internship in the company of their choice for a period of 4 to 6 months.