项目介绍
市场营销是一门艺术也是一门科学。在大数据的时代，越来越多的信息可以帮助企业更好和更精准的把握消费者的行为特征以制定更有效的营销策略。为了帮助学生学习更多和大数据分析以及数据解读的知识，图卢兹商学院开设了这个《数字情报和营销分析》专业。
这个项目为学生准备几个非常重要的职业资质认证：CAP, EMCDSA, THINK1， 使得学生在毕业的时候已经具备了足够的实践知识和技能。作为图卢兹商学院大学校硕士项目第二年可选的一个双学位项目，项目可以和大学校硕士共享很多教学和企业的资源。此外，这个项目和很多知名的企业合作，为学生提供很多实习和就业机会。
为学生准备3个非常重要的职业认证证书的考试
The explosive growth in the amount of data created in the world by humans and machines continues to accelerate. This data deluge coupled with a societal awareness of the strategic value of data, has engendered a global business paradigm shift: the advent of the datadriven business era.
In this new datadriven business world, marketers need to incorporate data into their decision making processes in order to gain a competitive edge by: interacting with customers in a more personalized and efficient manner, by designing products and services that perfectly match customers' fast-changing needs and desires, but also by managing marketing and communication campaigns in realtime.
The MSc in "Digital Intelligence & Marketing Analytics" at Toulouse Business School, aims at providing a solid multi-disciplinary training to help its students equip themselves with the necessary skill sets to solve today's marketing problems and become an essential part of their future companies' decision making process.
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 multilayered complexity of data-driven marketing and marketing analytics.
项目特色
- 法国排名前十的商学院
- 第一个前十商学院开设的和大数据分析和营销有关的MSc项目
- 隶属于图卢兹商学院的市场营销精英团队
- 立足于图卢兹当地众多企业资源
就业方向
课程举例
| New Levers of Digital Marketing 数字营销的新影响 |
| Digital Marketing Pillars |
数字营销核心 |
| Marketing Function in the Digital Era |
数字时代的营销职能 |
| Big Data Marketing Research |
大数据市场调查 |
| Data-Driven Business and Entreprises 数字驱动的商业和企业 |
| Design Thinking |
设计思维 |
| Managing Technological Innovation: Lean Methods |
管理技术创新：精益方法 |
| Digital Transformation in the Data-Driven Era |
数字驱动时代的数字转化 |
| Communication Skills in the Data-Driven Business World |
数字驱动商业世界中的沟通技能 |
| Data Ownership, Digital Rights, and Ethical Challenges |
数据所有权和道德挑战 |
| Digital Intelligence and Data Driven Marketing 数字情报和数据驱动的营销 |
| New Business Models and Marketing Strategies |
新商业模式和营销战略 |
| Real-time Marketing Campaign Optimization |
实时营销活动优化 |
| Customer Micro-Segmentation |
客户细微细分 |
| Real-time Brand Analysis |
实时品牌分析 |
| Predictive Market Forcasting and Pricing Strategies |
可预计市场据测和定价策略 |
| Audience Measurement and Ad. Targeting 360 CRM |
受众评估，广告指向和360度客户关系管理 |
| Modelling & Analysis Techniques and Tools 建模和分析技术和工具 |
| Basic and Advanced Statistical Modeling |
基础和深入统计建模 |
| Machine Learning |
机器学习 |
| Unstructured Data Analysis |
非结构化数据分析 |
| Deep Learning |
深入学习 |
| Visualization |
可视化数据分析 |
| Big Data Ecosystem, Architecture, and Technology 大数据环境，架构和技术 |
| Big Data Ecosystem and Architecture |
大数据环境和架构 |
| R Programming |
R语言编程 |
| Relational / Non-relational Databases |
关系和非关系数据库 |
| Distributed Databases and Parallel Algorithms |
分布式数据库和并行算法 |
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