Directorio Intranet
UJA. Universidad de Jaén. Ir a la página de inicio

Universidad de Jaén

cabecera

Curso en Data Analytics for Inclusion & Diversity

Presentación

Presentación

We are immersed in an information society with a wide availability of data from different fields, making it necessary to have tools that help us to understand and use the information extracted from them in our daily lives. For instance, organisations usually collect demographic data from their employees, customers, or members to know the composition of their workforce or community. They often compare their inclusion and diversity data with industry or regional benchmarks to assess their performance relative to their peers, which helps to identify areas for improvement.
In particular, the statistical analysis of inclusion and diversity data is a crucial practice for organisations and institutions aiming to promote equity, fairness, and representation, which are key aspects for the NEOLAiA pillars. This analysis involves collecting, processing, and interpreting data on different aspects of diversity, such as gender, race, ethnicity, age, disability, and more. Statistical analysis can help identify the main causes of diversity and inclusion challenges, and factors such as biased hiring practices, lack of diversity in leadership, or discriminatory policies can be uncovered through data analysis. The ultimate goal of diversity and inclusion data analysis is to generate actionable insights that inform policies and strategies.
In summary, the statistical analysis of inclusion and diversity data can greatly assist organisations in identifying disparities, setting targets and taking meaningful action to foster a more inclusive and equitable environment. It is an ongoing process that requires commitment, transparency, and ethical considerations to drive positive change.
The course "Data Analytics for Inclusion & Diversity" aims to provide a specific formative program for Bachelor and Master’s students focussed on the use of statistical techniques in the analysis of diversity and inclusion data.

Further information-download files below
Selecciona archivo...

- Identify appropriate statistical techniques and apply them to available datasets

- Become familiar with the statistical software R

- Perform basic statistical analyses on datasets and interpret the results appropriately

- Demonstrate an effective ability to communicate the results of a statistical analysis both in writing and orally

- Critically evaluate the assumptions, limitations and implications of statistical analyses.

- Develop intercultural skills and learn to work within multidisciplinary teams

- Foster greater awareness of inclusion and diversity, integrating them into the learning experience.

This BIP is open to students from Bielefeld University (Germany), Örebro University (Sweden), and “Ştefan Cel Mare” University of Suceava (Romania), as well as students enrolled at a university that is either part of the European Universities alliance, NEOLAiA, or an ERASMUS+ partner university with which the University of Jaén has an Erasmus agreement.
The BIP approach is eminently practical with the support of statistical software tools, so we hope that the course will be enjoyable and useful for everyone. The only academic prerequisites are elementary knowledge of mathematics and basic computing skills. Therefore, the BIP is open to students from any academic level (Bachelor, Master, PhD) with a critical mind, a passion for understanding the role of statistics in today's world, and an eagerness to learn about statistical data processing.
Since the language of instruction is English, students are expected to have sufficient language proficiency to keep up with the course.

Total number of 15-20 international students: 5-7 students from each partner university, plus a 3-5 students from the University of Jaén.

Each partner HEIs can nominate up to 10 students. First, each participating university will select its international students locally and rank them based on their grades or ECTS points. Then, the final selection of students will be determined by the University of Jaén, taking into account the rankings provided by all participating universities, and available spots.

Preinscripción y matrícula

Preinscripción abierta hasta fin de matrícula.

Para realizar la preinscripción online pulse el siguiente botón:

Acceso preinscripción

Para realizar la preinscripción se recomienda utilizar el navegador Chrome desde un ordenador. Si recibe un mensaje de error, envía un correo, incluyendo la captura de pantalla y datos personales (nombre y DNI), a continua@ujaen.es.

LOS/LAS ESTUDIANTES CUYA SOLICITUD DE PREINSCRIPCIÓN HAYA SIDO ACEPTADA PODRÁN REALIZAR LA MATRÍCULA.

Fecha de inicio de matrícula: 01 de marzo de 2025 a las 00:00

Fecha de fin de matrícula: 30 de abril de 2025 a las 23:59

Pasos a seguir para realizar automatrícula

Para realizar la matrícula online pulse el siguiente botón:

Acceso matrícula

Información Matrícula:

  • ORDINARIA: 0,00 €
  • Plazos propuestos e importes: 1 plazo de 0,00 €.

Este curso dispone de bonificaciones en la matrícula:

Bonificaciones
Nombre Valor
Seguro escolar 7,90 €

Para realizar la matrícula se recomienda utilizar el navegador Chrome desde un ordenador. Si recibe un mensaje de error, envía un correo, incluyendo la captura de pantalla y dados personales (nombre y DNI), a continua@ujaen.es.

Importante: Seguro de accidentes: Todos los participantes deben estar cubiertos por un seguro de accidentes (EXCEPTO CURSOS ONLINE)

  • Seguro escolar. Obligatorio para todos los menores de 28 años, cobrándose en Estudios oficiales, una sola vez por curso académico.
  • Seguro accidentes UJA. Obligatorio para todos aquellos alumnos que no tengan abonado el seguro escolar en el curso académico activo, siendo ambos incompatibles, debiendo abonarse una sola vez por curso académico. Afecta a todos los alumnos de estudios oficiales y no oficiales (Grado, Máster, Tercer Ciclo, Enseñanzas Propias y Cursos Cortos)
  • Enlace de informe al alumnado: https://www.ujaen.es/estudios/acceso-y-matricula/matricula/seguros-para-el-alumnado-de-la-uja

El alumnado matriculado en esta actividad puede participar en la Convocatoria de Becas de Formación Permanente 1er. cuatrimestre del curso 2024/25. La Resolución se publicará en el Centro de Formación Permanente y Formación Complementaria - Perfil de Estudiantes en Becas y Ayudas

Información académica

Aquí encontrarás los detalles fundamentales y todos los enlaces necesarios para conocer la organización de tu máster propio.

The contents of this course are structured in 5 modules that include exploratory, descriptive and inference techniques:

Chapter 1: Introduction to statistical data analysis and first steps with R software.
Chapter 2: Exploratory analysis of inclusion and diversity data using graphical and analytical methods.
Chapter 3: Categorical data analytics for inclusion and diversity.
Chapter 4: Inference techniques applied to inclusion and diversity data.
Chapter 5: Modeling the relationship between inclusion and diversity characteristics.

With the support of the statistical software R, flipped classroom methodology and case studies, the programme will be made more interactive, and participants’ existing experiences will be shared. In addition, the collaborative work between students from different backgrounds and the cultural activities programmed will allow participants to take part in an international exchange.
Selecciona archivo...

The BIP will take the form of project work, in transnational teams, based on the statistical analysis of inclusion and diversity data.
The programme framework consists of:

Online activities (May 19-23, 2025), including:
- Asynchronous activities (watching videos, reading scientific texts, etc.)
- Student’s work (individual and team-based activities, preparation of a poster)
- Webinars (student presentations, discussion, conclusions)
- Guest lectures

Face-to-face teaching (June 16-20, 2025), at the University of Jaén, including:
- Lecture time
- Cultural and social activities.

The asynchronous activities (watching videos and reading scientific texts, etc.) will be open to the wider community (students, staff and faculty).


Assessment:
- Online poster, infographic or slide presentation (10-15 minutes): Students will present the results of a statistical analysis carried out using one of the techniques covered in the lectures. (Relative weight 30 %).

- Attendance, student work, and participation: This includes attendance, active participation in class activities, and completion of assigned work. (Relative weight: 70 %).

Final grades for this course will be based on the institutional grading scales used at UJA:
https://www.ujaen.es/internacional/sites/segundonivel_internacional/files/uploads/documentacion/pdf/informacion-academica/institutional_grade_scale.pdf

  • Trabajos

Fecha de Inicio: 19 de mayo de 2025

Fecha de Fin: 20 de junio de 2025

Calendario Académico: 19-23 May and 16-20 June, 2025

Selecciona archivo...

Normativas Relevantes para tus Estudios

Normativa de Enseñanzas Propias de Formación Permanente de la Universidad de Jaén