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CAS Data Science Leadership
UniDistance
CAS Data Science Leadership
Overview
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1 - 6 months
Duration
10 ECTS
Credits
CHF 7'800
Cost
February
Start of the studies
Online
English
Language
Certificate of Advanced Studies (CAS)
Degree type
Requirements
Bachelor or Master degree delivered by a university or higher education institute in the following fields: data science, business, economics, finance, management, human resources, marketing, law, IT/informatics, software development, mathematics.
or
Five years experience in a relevant field
This program is conducted entirely in English; you are expected to possess a high level of proficiency in the language to fully engage with the coursework and discussions.
Additionally, as the program is delivered online, you must have access to reliable technical equipment and be familiar with fundamental computer programs and digital tools.
Documents needed for your ap
More information
The target audience for a continuing education program in Data Science Leadership typically includes:
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.
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.
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.
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.
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.
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.
Your flexible online learning experience
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.
E-Learning-platform: The platform provides all necessary learning materials, discussion forums, and support tools. You can access resources anytime.
Collaborative group work: You engage in group work during online meetings to solve practical problems, enhancing teamwork and peer learning.
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.
Peer-to-peer learning and feedback: You will share projects and receive feedback from peers and lecturers, enhancing learning through a collaborative feedback loop.
Personalised learning experience: Courses are tailored to your needs, with lecturers adapting content based on feedback and developing personalised use cases.
Continuous support and mentorship: Lecturers provide ongoing support through discussion forums and live sessions, with personalised mentorship offering tailored guidance.
