Grado en Business Analytics draft

Program Overview

The Business Analytics program at Universidad Europea de Madrid equips students with the analytical skills and business knowledge needed to understand vast data volumes and make informed decisions. The program emphasizes data-driven decision-making and uses industry-standard tools and software, preparing graduates for careers in management, consultancy, data analysis, and beyond.

Program Outline

The program aims to enhance business decision-making by providing students with a comprehensive understanding of statistics, computer science, predictive analysis, and economics. The program's objective is to train students to become business analysts, capable of understanding and applying analytical and management skills across various business functions. The curriculum emphasizes mathematics, business intelligence, statistics, and programming, providing a holistic view of the sector and the potential of Big Data within the market.

Outline:

The program is structured as follows:

• Content: The curriculum is divided into 240 ECTS credits and covers a wide range of subjects, including:
• Administration and Business Management:
58% of the program (138 ECTS)
• Business Law:
2% of the program (6 ECTS)
• Transversal Management Subjects:
8% of the program (18 ECTS)
• Data Creation and Treatment:
20% of the program (48 ECTS)
• Modern Language:
2% of the program (6 ECTS)
• Mathematics:
10% of the program (24 ECTS)
• Structure: The program is divided into four years, with specific modules for each year.
• Course Schedule: The program begins on September 16, 2024.
• Individual Modules: The program includes a variety of modules, each with a specific focus:
• First Year:
• Fundamentos de Gestión de la Empresa:
Introduces basic business management concepts.
• Estadística I: Covers fundamental statistical concepts and methods.
• Marketing: Covers marketing principles and strategies.
• Matemáticas: álgebra y cálculo: Covers fundamental algebraic and calculus concepts.
• Contabilidad I: Introduces basic accounting principles.
• Finanzas I: Introduces basic financial concepts.
• Macroeconomía: Covers macroeconomic principles.
• Microeconomía: Covers microeconomic principles.
• Taller.
• Toma de decisiones I: Introduces decision-making techniques.
• Second Year:
• Estadística II:
Covers advanced statistical concepts and methods.
• Fundamentos de la programación II: Covers advanced programming concepts.
• Contabilidad II: Covers advanced accounting principles.
• Finanzas II: Covers advanced financial concepts.
• Bases de datos: Covers database management concepts.
• Idioma extranjero I: Covers basic proficiency in a foreign language (English).
• Econometría: Covers econometric methods.
• Herramientas de análisis estadístico: Covers statistical analysis tools.
• Ética y eficacia profesional: Covers ethical and professional conduct.
• Taller.
• Toma de decisiones financieras: Covers financial decision-making techniques.
• Third Year:
• Estructuras de Datos:
Covers data structures and algorithms.
• Ingeniería de datos II: Covers advanced data engineering concepts.
• Psicosociología del consumidor: Covers consumer behavior and psychology.
• Ecosistema digital: Covers digital ecosystems and their impact on business.
• Empresa sostenible (green management): Covers sustainable business practices.
• Gestión de Personas: Covers human resource management.
• Internet de las cosas (IoT): Covers the Internet of Things and its applications.
• Dirección Estratégica: Covers strategic management.
• Nuevas metodologías de trabajo y organización: Covers new work methodologies and organizational structures.
• Taller.
• Toma de decisiones de recursos humanos: Covers human resource decision-making techniques.
• Impacto e influencia relacional: Covers relational impact and influence.
• Resolución de problemas complejos: Covers complex problem-solving techniques.
• Fourth Year:
• Herramientas de CRM:
Covers customer relationship management tools.
• Análisis de datos de Internet: Covers internet data analysis.
• Liderazgo emprendedor: Covers entrepreneurial leadership.
• Derecho aplicado al tratamiento de datos: Covers legal aspects of data processing.
• Derecho de la empresa: Covers business law.
• El ciclo del dato: Covers the data lifecycle.
• Innovación y emprendimiento: Covers innovation and entrepreneurship.
• La información en los sectores: Covers information in different sectors.
• Prácticas en Empresa I: Covers practical experience in a business setting.
• Trabajo Fin de Grado: Covers a research project on a chosen topic.
• Actividades Universitarias: Covers extracurricular activities.

Teaching:

• Teaching Methods: The program utilizes a variety of teaching methods, including lectures, seminars, case studies, group projects, and practical exercises.
• Faculty: The program is taught by a team of experienced professors and industry professionals, many of whom hold doctorates and have extensive experience in their respective fields.
• Unique Approaches: The program emphasizes practical application and real-world experience, with a focus on data-driven decision-making.
Students are encouraged to use industry-standard tools and software, and they have the opportunity to participate in internships and projects with leading companies.

Careers:

Graduates of the program are well-prepared for a variety of career paths in the business world, including:

• Management Positions: Graduates can assume leadership roles in various departments, including finance, human resources, operations, marketing, and business intelligence.
• Consultancy: Graduates can work as consultants, providing data-driven insights and solutions to businesses.
• Data Analysis: Graduates can work as data analysts, data scientists, or data consultants, using their skills to analyze large datasets and extract valuable information.
• Big Data Management: Graduates can work in roles related to managing and maintaining big data infrastructure.
• Marketing and Digital Analytics: Graduates can work in marketing and digital analytics roles, using data to optimize marketing campaigns and understand customer behavior.
• Entrepreneurship: Graduates can use their data analysis skills to launch and grow their own businesses.

Other:

• Accreditation and Recognition: The program is accredited by the Spanish Ministry of Education and is recognized internationally.
• Digital Business Week: The program hosts an annual Digital Business Week, which features workshops, presentations, and networking opportunities with industry leaders.
• Practical Orientation: The program emphasizes practical application and real-world experience, with a focus on data-driven decision-making.
Students are encouraged to use industry-standard tools and software, and they have the opportunity to participate in internships and projects with leading companies.