Certificate of Advanced Studies en Alimentation et comportement , 10 ECTS

Duration : 5 mois

Workload : ~ 12 h / semaine

Language : Français

Classes start on : Septembre

Price : CHF 6100.-

En quelques mots

A l'âge de 21 ans, il est estimé que nous avons consommé environ 23'000 repas. Pourtant, que connaissons-nous des mécanismes psychologiques qui sous-tendent le comportement si récurrent qu'est la prise alimentaire ?

Le CAS (Certificate of Advanced Studies) Alimentation et Comportement a pour but de présenter les connaissances scientifiques actuelles issues de la psychologie et des neurosciences sur le comportement alimentaire. Il comprend une partie théorique (couvrant des thèmes tels que pourquoi le stress influence la prise alimentaire ?) et une partie plus pratique (par exemple, comment peut-on favoriser une stabilisation du poids à long terme ?).
Des intervenant-e-s académiques et cliniques dispensent les 4 modules qui constituent le CAS. Cette formation est de niveau universitaire. Entièrement en ligne, elle peut être aisément suivie, même en emploi.

Cette formation fait partie d'un cursus modulable : vous avez la possibilité de suivre l'entièreté des thématiques (CAS) ou de choisir une ou plusieurs des orientations suivantes :

Ce CAS est destiné aux professionnel-le-s dans les domaines de la psychologie, de l’alimentation, de la santé, de la prévention, de la santé publique et de l’industrie alimentaire qui travaillent au quotidien sur des problématiques liées à la prise alimentaire, et/ou aux diplômé-e-s d’une haute école ou université souhaitant se spécialiser dans ce domaine.

La formation exclusivement en ligne a été spécialement conçue par des professionnel-le-s pour des professionnel-le-s travaillant à plein temps, offrant ainsi un maximum de flexibilité.

Leverage data assets

Enhance product quality, improve customer experience and increase profitability.

Lead with confidence

Develop leadership skills to guide and inspire your data science team towards achieving organisational goals.

Optimise team performance

Foster a collaborative environment that maximises the productivity and effectiveness of your multidisciplinary teams.

Objectives

Objectives

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:

Confidently lead and optimise the performance of data science teams.
Utilise data-driven insights for impactful and strategic decision-making.
Drive business growth through effective data-driven leadership strategies.
Leverage data assets to enhance product quality, improve customer experience, and increase profitability.
Gain a comprehensive understanding of data infrastructure, ethical considerations, and legal compliance in data use.
Prioritise and manage data projects efficiently, aligning them with organisational goals.
Foster effective communication and collaboration between business and tech teams.

Your learning journey

select and combine

M01 Creating value with data science

Explore strategies for monetising data within organisations. Learn how leveraging data can impact marketing strategies, reduce
production costs, and enhance customer experience. By the end of the module, you will be equipped to unlock the potential of data to drive revenue and profit.
2 ECTS

M02 Data infrastructure Fundamentals

Understand the essential elements of a solid data infrastructure. Explore options for storing data in a structured, accessible, and manageable way. Gain a foundational understanding of database systems, cloud computing, and data warehousing concepts.
2 ECTS

M03 Developing Data Science Talent

Develop effective data science teams and foster collaboration among business, science, and engineering teams. Learn strategies to drive innovation and improve team performance. Recruit, train and manage data science teams.
2 ECTS

M04 Data science project management

Learn the fundamental elements of data science project management and prioritisation. Analyse methods for aligning projects with organisational goals, optimising resource allocation, and proactively identifying project risks.
2 ECTS

M05 Data ethics and compliance

Examine ethical considerations and regulatory compliance in data use and decision-making. Gain the skills to navigate ethical aspects and master legal compliance in data management.
2 ECTS

M05 Data ethics and compliance

Examine ethical considerations and regulatory compliance in data use and decision-making. Gain the skills to navigate ethical aspects and master legal compliance in data management.
2 ECTS

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.

Discover our teaching model

Benefits for your firm

Enrolling employees in the CAS in Data Science Leadership programme offers key benefits for your firm:

Innovation and Efficiency: Identify new business opportunities, streamline operations, and reduce costs through better data analysis.
Enhanced Customer Insights: Understand customer behaviour and preferences, leading to more personalised marketing strategies and improved customer satisfaction.
Talent Development: Invest in employee growth, enhancing job satisfaction and retention, and attracting top talent.
Risk Management: Use predictive analytics to foresee and mitigate potential risks effectively.
Strategic Alignment: Ensure data initiatives align with your company’s goals for more informed and effective planning.
Improved Project Outcomes: Enhance project management with better data tracking and reporting and integrate new technologies to keep the organisation agile and competitive.

About UniDistance Suisse

UniDistance Suisse is Switzerland's leading institution for distance university studies, accredited in accordance with the Swiss Higher Education Act (HEdA). Established in 1992, we offer Bachelor's, Master's and continuing education programmes in French, German and English, which enable adult students to reconcile study, work and personal life thanks to flexible, innovative teaching based the the latest technology. Recognised by the Swiss Confederation in 2004, we guarantee academic excellence and degrees equivalent to any other Swiss university.

30+

Years of experience in online learning

160%

Students increase since 2002

Student average age