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Master in Management

Testimony of

Michelle Zhu

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Michelle Zhu joined the Master in Management – Grande Ecole program at emlyon business school in 2014 after completing her bachelor's degree in China. She is now a finance and digital transformation manager with more than 6 years of experience in technology and management consulting firms. Michelle provides services to companies and organizations from different industries, mainly helping them with digital and financial transformation related projects.

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Norwegian-born former Political Science student Terje Espedal and Indian-born former Engineering student Imran Gaffur embody the many qualities of emlyon’s MSc in Digital Marketing & Data Science, a program that is designed to instil a hybrid set of skills within a diverse student cohort. From vastly different geographical, cultural, and academic backgrounds, they now face the same challenge of acquiring the necessary marketing intelligence and technical know-how to forge a career in a world driven increasingly by digital marketing, Artificial Intelligence, and data science.

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An auditor is a professional who examines and evaluates an organization’s financial records, statements, and processes to ensure accuracy, compliance, and transparency. Auditors verify that financial reports reflect the true financial position, identify errors or discrepancies, and assess internal controls to prevent fraud. They can work internally, within the company they audit, or externally, as part of independent audit firms serving multiple clients. Auditors are essential in maintaining trust between businesses, investors, regulators, and the public by providing objective assessments of financial health and operational integrity. Their work often follows established standards, such as Generally Accepted Accounting Principles (GAAP) or International Financial Reporting Standards (IFRS), ensuring consistency and reliability in financial reporting.

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An AI consultant (artificial intelligence consultant) is a professional who helps organizations identify, design, and implement artificial intelligence solutions to improve efficiency, decision-making, and innovation. They analyze business processes, assess data readiness, and recommend the most suitable AI technologies—such as machine learning, natural language processing, or automation—to solve specific challenges. AI consultants often bridge the gap between technical teams and business leaders, ensuring that AI strategies align with organizational goals and deliver measurable value. Their work includes feasibility studies, model development, system integration, and change management. By guiding companies through the complex AI adoption process, an AI consultant enables smarter operations, cost savings, and competitive advantage in a rapidly evolving digital landscape.

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The data manager has a strategic role that blends technology, analysis, and business insight. Whether you're overseeing the collection, storage, and protection of customer information, or developing a data policy that ensures privacy and security, your responsibilities shape the very foundation of the organization.

As companies collect multiple streams of personal data, from apps to internal systems, the demand for skilled managers who can analyze, organize, and interpret this information has exploded. It's a career where technical skills meet strategic thinking, and where a strong grasp of statistics, software, and algorithms enables smarter, faster, more informed decisions. With the right training and degree, you’ll be equipped to create systems that not only make access easier and more efficient, but also help teams at every level.

Curious how to become the key player in a company’s data strategy? Let’s break down the tools, techniques, and benefits of stepping into this vital role.

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A data scientist plays a critical role in transforming raw data into valuable insights that drive business decisions. These data experts combine advanced data analysis, data mining, and data modeling processes to uncover patterns and predict future trends. They also use data visualization tools to communicate findings clearly to non-technical stakeholders. Beyond technical know-how, strong data science skills, including programming, statistics, and machine learning, are essential. A data scientist’s responsibilities often span the entire data analytics lifecycle, from data collection to interpretation. As companies across sectors increasingly rely on data-driven strategies, demand for skilled data scientists continues to grow. This article explores the key responsibilities of the role and what it takes to succeed in this fast-evolving field.

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