Master's degrees in NEUROSCIENCES

Cross-functional skills

• Identify digital uses and the impacts of their evolution on the field(s) covered by the specialization
• Autonomously use advanced digital tools for one or more professions or research sectors in the field
• Mobilize highly specialized knowledge, some of which is at the forefront of knowledge in a field of work or study, as a basis for original thinking
• Develop a critical awareness of knowledge in a field and/or at the interface of several fields
• Solve problems to develop new knowledge and new procedures and integrate knowledge from different fields
• Make innovative contributions in high-level exchanges and in international contexts
• Conduct a reflective and detached analysis taking into account the issues, problems, and complexity of a request or situation in order to propose adapted and/or innovative solutions in compliance with regulatory changes
• Identify, select, and critically analyze various specialized resources to document a subject and synthesize this data for use
• Communicate For training or knowledge transfer purposes, orally and in writing, in French and at least one foreign language
• Manage complex and unpredictable professional or study contexts that require new strategic approaches
• Take responsibility for contributing to professional knowledge and practices and/or reviewing a team's strategic performance
• Lead a project (design, steering, team coordination, implementation and management, evaluation, dissemination) that can mobilize multidisciplinary skills in a collaborative framework
• improve one's practice as part of a quality approach
• Respect the principles of ethics, professional conduct, and social and environmental responsibility
• Take into account the issues of disability and accessibility in each of one's professional actions

Specific skills

• Mobilize concepts specific to neuroscience by integrating the complementarity of levels of analysis (molecular, cellular, integrated, and cognitive)
• Formulate working hypotheses and develop experimental protocols by recommending methodological choices
• Design a scientific study to evaluate a neuroscience application or model
• Ensure high-level scientific and technological monitoring in the field of neuroscience
• Adopt an experimental approach specific to neuroscience by integrating different approaches and technical know-how (molecular, cellular, integrative, cognitive, and/or ethological). Quantitatively and qualitatively measure relevant parameters using cutting-edge tools and techniques
• Study and quantify a neurobiological mechanism by identifying and applying relevant techniques
• Evaluate and quantify a behavioral response in humans or animals by identifying and applying relevant techniques
• Comply with ethical principles when handling human-related data
• Sort and synthesize collected experimental data by implementing good laboratory practices and the principles of ethics and scientific integrity
• Analyze collected experimental data using appropriate statistical tools
• Interpret collected data by comparing them with pre-existing data or data from scientific and/or technical literature
• Create representative illustrations of observed phenomena using dedicated digital tools
• Communicate the results obtained by disseminating the synthesis, conclusions, challenges, and perspectives