Checking date: 08/05/2024

Course: 2024/2025

Business applications of big data analytics
Master in Big Data Analytics (Plan: 352 - Estudio: 322)

Coordinating teacher: GOMEZ BERBIS, JUAN MIGUEL

Department assigned to the subject: Computer Science and Engineering Department

Type: Compulsory
ECTS Credits: 3.0 ECTS


Requirements (Subjects that are assumed to be known)
There are no particular courses or requirements
Basic skills That students know how to apply the knowledge acquired and their ability to solve problems in new or little-known environments within broader (or multidisciplinary) contexts related to their area of ¿¿study. That students are able to integrate knowledge and face the complexity of formulating judgments based on information that, being incomplete or limited, includes reflections on the social and ethical responsibilities linked to the application of their knowledge and judgments. That students know how to communicate their conclusions and the knowledge and ultimate reasons that support them to specialized and non-specialized audiences in a clear and unambiguous way. That students possess the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous.
Skills and learning outcomes
Description of contents: programme
Business Model for Big Data Applications Creation of Digital Business based on Big Data Applications Big Data and e-commerce technologies Advanced Big Data Analysis in Finance: Estimates, Predictions and Trends Advanced Big Data Analysis for Marketing: Campaigns, advertising and new marketing techniques Big Data analysis for the Internet of Things (IoT): Sensors, traceability and algorithms
Learning activities and methodology
Formation activities Theorical class Laboratory practices Team work Individual student work Teaching methodologies Presentations in class by the teacher with the support of computer and audiovisual media, in which the main concepts of the subject are developed and bibliography is provided to complement the students' learning. Critical reading of texts recommended by the subject teacher: Press articles, reports, manuals and/or academic articles, either for subsequent discussion in class or to expand and consolidate knowledge of the subject. Resolution of practical cases, problems, etc. posed by the teacher individually or in groups Presentation and discussion in class, under the teacher's moderation, of topics related to the content of the subject, as well as practical cases Preparation of work and reports individually or in groups
Assessment System
  • % end-of-term-examination 0
  • % of continuous assessment (assigments, laboratory, practicals...) 100

Calendar of Continuous assessment

The course syllabus may change due academic events or other reasons.