Degree in Applied Management

Program Description

Over three years, students integrate knowledge from management, economics, accounting, finance, operations, marketing, information systems, statistics and human resources to address real business problems.

During the first two years, the programme provides a solid foundation across core management fields, combining conceptual understanding with practical skills through applied tools and active learning methodologies. Emphasis is placed on adaptability, collaboration and problem-solving.

In the third year, students choose one of two specialisation branches:

Business Analytics – data analysis, artificial intelligence, data visualisation and decision support
systems.
Tourism – sustainable destination management, tourism innovation, experience marketing, event management and strategic management of tourism organisations.

The programme includes optional modules, applied labs and interdisciplinary projects, culminating in a curricular internship in a real organisational setting.

General Objectives

Enable informed strategic and operational decision-making in diverse organisational contexts;
Develop technical and digital competences for data analysis in management;
Foster interdisciplinarity, creativity, critical thinking, collaboration and leadership;
Provide tools to design and manage impactful projects;
Prepare graduates for contemporary organisational challenges in areas such as strategy, data, Marketing, finance, communication, ethics and sustainability;

Learning Objectives

Students will be able to:

Understand core business management principles;
Develop competitive and sustainable strategies;
Use analytical and digital tools to support decision-making;
Assess the impact of digital transformation on organisations;
Identify trends and evaluate their implications;
Apply communication and interpersonal skills;
Lead teams effectively;
Collect, analyse and visualise data;
Model managerial problems under uncertainty using analytics methods;
Apply statistical and machine learning techniques in management contexts;
Design tourism strategies and projects;
Integrate sustainable tourism practices balancing economic, environmental and social dimensions;