数字化转型管理 / MBA in Digital Transformation Management
数字化转型硕士项目的目标是为当今社会注重数字化转型而提高商业目的企业培；养数字化技术专业人才。“数字化转型”是当今的一个流行词。大部分企业都在积极地数字化转型，但却又并不擅长该领域的改革和管理。最常见的是运用数字化工具。但其实，数字化转型是一个复杂且综合的改革，需要对战略管理和执行管理进行全面的掌控。
The goal of the Digital Transformation Master’s Program is to enhance the training of business oriented enterprises that focus on digital transformation in today’s society; Cultivate digital technology professionals. « Digital transformation » is a popular term today. Most enterprises are actively engaged in digital transformation, but they are not good at reform and management in this field. The most common approach is to use digital tools. But in fact, digital transformation is a complex and comprehensive reform that requires comprehensive control over strategic and execution management.
ISTEC巴黎高等商学院工商管理管理硕士数字化转型方向项目，致力于成就具有全球化视野，数字化思维，可持续发展能力的创新企业家。
The ISTEC Paris Business School Master of Business Administration Digital Transformation Program is committed to achieving innovative entrepreneurs with a global perspective, digital thinking, and sustainable development capabilities.
通过该项目的学习，学员将成为引领企业数字化转型的创新型人才，将全球化视野与数字化思维融合，企业管理理论与商业实践结合，研究企业自身案例，共同探究行业前沿，寻找适合自身企业数字化转型的模式，推动行业发展升级。
Through the study of this project, students will become innovative talents who lead the digital transformation of enterprises. They will integrate a global perspective with digital thinking, combine enterprise management theory with business practice, study their own cases, jointly explore the forefront of the industry, find suitable models for their own digital transformation, and promote industry development and upgrading.
三、项目课程 / project course
课程简介：在传统的工商管理方法论基础上结合当今最前沿的数字科技和互联网技术，进行管理的系统性数字化转型升级的研究与应用。特别是结合区块链、大数据处理、人工智能和元宇宙等概念性创新思维和瞻前科技的理论研究与落地应用将培养出引领全球数字化管理技术未来发展方向和趋势的先锋型人才。
Course introduction: research and application of systematic digital transformation and upgrading of management based on the traditional business management methodology combined with the cutting-edge digital technology and Internet technology. Especially by combining conceptual innovative thinking and forward-looking technology such as blockchain, big data processing, artificial intelligence, and metaverse, theoretical research and practical applications will cultivate avant-garde talents who will lead the future development direction and trend of global digital management technology.
1、国际营销 / Marketing International
2、跨文化管理 / Management Interculturel
3、危机公关 / Communication De Crise
4、大数据时代的信息管理 / Information Management in Big Data Era
5、技术变革与管理创新 / Technological Change and Management Innovation
6、供应链管理的数字化转型 / Digital Transformation for Supply Chain Management
7、元宇宙的运用及发展趋势 / The Use and Development Trend of Metaverse
8、组织管理的数字化转型 / Digital transformation of organisational management
9、区块链技术的运用与迭代研究 / The use and iteration of blockchain technology
10、数字化转型方向论文工作坊 / Thesis Work Shop on Digital Transformation
11、论文答辩辅导 / Thesis defense coaching
1、衍生出了针对数字化转型实践的数据分析师。数据分析师要收集企业数据、对数据进行分析，还要做出准确的评估和预判，是转型中必不可少的岗位之一。
1.Derived data analysts for digital transformation practices. A data analyst is one of the essential positions in transformation, as they need to collect and analyze enterprise data, as well as make accurate evaluations and predictions.
2、数字化转型咨询服务，即数据分析师事务所。这势必与传统咨询在方法论上有一定不同，而当前这方面人才和有实战经验的专家及事务所也比较康乏，是个有前景的行业方向。
2.Digital transformation consulting services, namely data analyst firms. This is bound to be different from traditional consulting in terms of methodology, and currently, there is a shortage of talents and experts and firms with practical experience in this field, making it a promising industry direction.
3、数字化转型服务平台。数字化服务平台与传统软件公司的区别在于，除了提供开发能力，还具有把业务需求转化为技术需求的能力，其中较为懂数字化转型的Datahoop平台让数据分析的操作更简单，不必再频繁切换各个工具即可轻松完成数据加工、数据预处理、数据建模、数据可视化等多种操作，为企业数字化转型的从业者添砖加瓦。
3.Digital transformation service platform. The difference between digital service platforms and traditional software companies is that in addition to providing development capabilities, they also have the ability to transform business needs into technical requirements. The Datahoop platform, which is more knowledgeable about digital transformation, makes data analysis operations simpler, and can easily complete various operations such as data processing, data preprocessing, data modeling, and data visualization without frequent switching of tools, adding bricks and tiles to the digital transformation of enterprises.
