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Certificate of Advanced Studies (CAS)

Join our CAS programme in Data Science Leadership. This course is designed for professionals who want to master data science leadership. Study real-world use cases and understand the challenges faced by data-driven organisations. Learn how to optimise team structures, prioritise projects, and allocate resources effectively. Gain insights into managing data initiatives.Data is a key asset in today’s business world. It drives innovation and informs strategic decisions. A strong data strategy is critical for marketing, customer management, and product quality. There is a high demand for leaders who can bridge the gap between business and technology teams.

1 - 6 Monate

The target audience for a continuing education program in Data Science Leadership typically includes:<ul><li>Mid to Senior-Level Data Professionals: Data scientists, data analysts, data engineers, and data architects looking to advance their careers into leadership roles. Professionals with significant experience in data roles who want to develop management and strategic skills.</li><li>Managers and Leaders in Data-Driven Organizations: Current managers, team leaders, and directors in data science or analytics teams aiming to enhance their leadership skills. Professionals responsible for leading data teams or overseeing data-related projects and initiatives.</li><li>Technical Professionals Transitioning to Leadership Roles: Software engineers, IT specialists, and other technical professionals seeking to move into data science leadership positions. Individuals with a technical background who want to develop strategic thinking and leadership capabilities.</li><li>Business Leaders and Executives: Executives and senior managers who need to understand data science to make informed strategic decisions. Business leaders aiming to leverage data science for organisational growth and competitive advantage.</li><li>Professionals from Related Fields: Individuals from related fields such as business intelligence, operations research, and statistics looking to pivot to data science leadership. Consultants and advisors specializing in data-driven decision-making and strategy.</li><li>Aspiring Entrepreneurs and Innovators: Entrepreneurs and startup founders looking to harness data science for their business ventures. Innovators aiming to lead data-driven initiatives and drive technological advancements.</li></ul>

Target Group

<h4>Your flexible online learning experience</h4>The programme is delivered through a comprehensive e-learning platform, providing access to all necessary learning materials, including scientific documents, supplementary literature, tasks, assignments, exercises and videos.<ul><li>E-Learning-platform: The platform provides all necessary learning materials, discussion forums, and support tools. You can access resources anytime.</li><li>Collaborative group work: You engage in group work during online meetings to solve practical problems, enhancing teamwork and peer learning.</li><li>Interactive virtual classes: Modules include virtual classes for discussions, case studies, and practical examples to deepen understanding and apply theoretical knowledge to real-world scenarios.</li><li>Peer-to-peer learning and feedback: You will share projects and receive feedback from peers and lecturers, enhancing learning through a collaborative feedback loop.</li><li>Personalised learning experience: Courses are tailored to your needs, with lecturers adapting content based on feedback and developing personalised use cases.</li><li>Continuous support and mentorship: Lecturers provide ongoing support through discussion forums and live sessions, with personalised mentorship offering tailored guidance.</li></ul>

Study model

Englisch

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FernUni Schweiz

Universitäten und die beiden Eidgenössischen Technischen Hochschulen (ETH) vermitteln theoretisches Grundlagenwissen. Zudem betreiben die Universitäten Grundlagenforschung und vermitteln wissenschaftliche Vorgehensweisen. Die Fächer und Lehrveranstaltungen sind bei einer Universität eher theoretisch ausgerichtet.Die meisten Universitäten in der Schweiz sind sogenannte Volluniversitäten. Als Volluniversität wird eine Uni bezeichnet, an der man die grundlegenden wissenschaftlichen Fachbereiche Studieren kann, so zum Beispiel: Mathematik, Wirtschaftswissenschaften und Medizin. Auch angehende Theologen und Juristen können sich an einer Volluniversität einschreiben.

CAS Data Science Leadership

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