Short Training Course Fundamentals of Data Infrastructure , 2 ECTS

Durée :4 weeks

Charge de travail : ~ 15h / week

Langue :English

Début des cours : March

Prix : CHF 1600.-

In a few words

In this module, we cover fundamental elements of any organisation's data strategy. We explore options for storing data in a structured and accessible/manageable way. We discuss the necessary hardware and software requirements, as well as available business solutions. We also address key topics such as data collection, data quality, and data protection.

Registration deadline: 19th January 2025

Calendar spring 2025

General academic regulation continuing education

Programme data science leadership regulation

Registration and admission

CAS data Science Leadership

Enrolling in the short-training course in Data Science Leadership programme offers several clear benefits, among them:

Practical Insights and Skills: Study real-world scenarios to understand opportunities and challenges in data-centric organisations.
Effective Leadership and Project Management: Develop skills in project management and team leadership tailored to data-driven environments. Learn to optimise team structures, prioritise projects, and use resources efficiently.
Data-Driven Decision Making: Use data to make decisions that drive business growth and improve performance.
Career Advancement: Gain skills and knowledge that can significantly boost your career as a data science leader.

This programme gives you the skills and confidence to lead data science teams, drive strategic decisions, and help your organisation succeed.

Each module is flexible and can be selected independently, allowing you to build a programme that fits your interests. Learn from experts in both academia and the private sector, providing a complete view of data science leadership.

Participants will strengthen their ability to identify and develop data science talents, establish a robust data infrastructure, monetise data assets, prioritise, and manage data projects, and address legal and ethical data concerns – essential elements for both personal career advancement and organisational growth.

By attending, you will learn how to:

To unlock the potential of data to drive revenue and profit in organisations.
To leverage data to impact product quality, production costs, and customer experience.
From existing data-driven business models.
To Identify data monetisation opportunities to stay competitive in today's data-driven economy.

Unique Online Offering: UniDistance Suisse is the only university institute in Switzerland offering the CAS in Data Science Leadership entirely online, providing maximum flexibility and convenience.
Flexible Learning: Study when and where you want. Twice a month, engage with fellow students and lecturers in virtual classrooms for discussions, teamwork, and interactive exercises based on real-life case studies.
24/7 Access to Resources: Access our e-learning platform anytime, with learning materials, academic resources, tasks, assignments, module videos, and quizzes available for independent study.
Expert Lecturers: Learn from top professionals and experts in their fields, ensuring high-quality education.
Accredited Institution: UniDistance Suisse is accredited under the Law on the Promotion and Coordination of Higher Education (LEHE). Our courses with ECTS credits are internationally recognized.
Work-Life Balance: Our courses are designed to fit with your professional and family life, allowing you to balance your education with other commitments.

This programme is given over one month.
The virtual classes lasting an hour and a half are held on Wednesdays from 6.15 pm to 7.45pm.
The course is offered once a year, in the spring semester.
Each module is independent and can be follow individually. Each module is credited 2 ECTS

Every module lasts four weeks and is certified with 2 ECTS points (European Credit Transfer System), which corresponds to a study workload of approx. 50 to 60 hours per module.

One ECTS point corresponds to a study workload of 25 to 30 hours. You can find more information (ECTS, Bologna-System).

Each module is evaluated separately. Moreover, participants will undertake an individual project based on a real problem faced by their organisation. This project serves as a pivotal component of the learning journey through all the modules, allowing participants to apply all the concepts, methods, and approaches they have learned throughout the programme. The aim is to ensure that participants can immediately translate their new skills into practical and actionable solutions for their job roles.

By validating the short training programme, you will receive a certificate of attendance for the “Short-training programme: Data Science Leadership: M02: Data Infrastructure Fundamentals credited 2 ECTS (ECTS, Bologna-System).

CHF 1'600 per module

10% off for UniDistance Suisse Alumni

A minimum of 6 participants is required to start the programme.

The maximum number of students who can take part in the short-training programme « Data science leadership » is limited to 20.

The language of instruction and the literature used is English.