Program Overview

Doctoral School

The Doctoral School offers various programs and resources for doctoral candidates.

Program Details

• Introduction to Bayesian Data Analysis: This course is part of the cross-disciplinary training and is taught in English. It requires basic notions of statistics and is limited to 25 attendees.
• Duration and Location: The course lasts for 15 hours and is held at Campus Nord, D3004.
• Schedule: The course schedule is from 9:00-13:00.
• Course Details: The course is in person and requires basic statistics knowledge.

Cross-Disciplinary Training

• Training in Specific Methods of Research
• Training in Transferable Skills
• Language Skills
• Personal Skills and Emotional Wellbeing
• Development of the Doctoral Thesis
• Open Science and RRI: Includes open science, citizen science, data management, sustainability, ethics, and gender dimension in research.
• Teaching and Guidance
• Career Development
• Research Management
• Innovation and Creativity
• Valorization of Research Results and Entrepreneurship
• Online Training and Other Resources

Doctoral Thesis

• Doctoral Theses
• Thesis Supervisors
• Thesis Examination Committee
• Research Integrity
• Deposit and Assessment
• International Doctorate Mention
• Industrial Doctorate Mention
• Cotutelle
• Thesis in 4 Minutes Competition
• CRUE #HiloTesis Competition
• Extraordinary Doctoral Awards
• Doctoral Qualifications
• Equivalence of Foreign Doctoral Qualifications
• Legalization of Spanish Documents
• Sant Jordi Micro-stories Contest

Industrial Doctorates

• Introduction
• Government Calls
• The Added Value of an Industrial Doctorate
• Economic Management
• UPC Research Groups - Smart City

Internationalisation

• Marie Curie Doctoral Networks
• Unite!
• Cotutelle

School

• Introduction
• Functions
• Governing and Representative Bodies
• Quality
• Legislation and Regulations
• Health and Safety
• Doctoral School's Newsletter
• Suggestion Box
• Logo and Corporate Image