Students
Tuition Fee
EUR 9,400
Per course
Start Date
2027-01-16
Medium of studying
Not Available
Duration
11 months
Details
Program Details
Degree
Masters
Major
Business Administration | Management Consulting | Data Analytics
Area of study
Business and Administration | Information and Communication Technologies
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 9,400
Intakes
Program start dateApplication deadline
2026-01-16-
2027-01-16-
About Program

Program Overview


Introduction to the MBA Business Analytics Program

The MBA Business Analytics program is designed to help professionals transform their organizations and create a culture based on data-driven evidence. This innovative master's program combines strategy in business management with tools for business data analytics, providing a comprehensive understanding of the impact of data on business operations.


Program Objectives

The objectives of the MBA Business Analytics program are:


  • To manage and analyze large amounts of business data.
  • To transform and communicate technical information efficiently.
  • To make strategic, tactical, and operational decisions based on data.
  • To define and execute a business strategy based on data.
  • To create a data-driven organizational culture.

Target Audience

The program is aimed at professionals from any sector with a technical profile and management experience who want to expand their knowledge and skills in business management using business data analytics.


Program Structure

The program consists of various modules, including:


  • Taking better strategic decisions
  • Managing people as a driver of change
  • Analyzing data to understand and predict the future
  • Understanding the customer to meet their needs
  • Managing talent as a source of competitive advantage
  • Managing the functioning of the company
  • Directing finances and accounting in a sustainable way

Teaching Methodology

The teaching methodology includes:


  • Participatory master classes
  • Practical sessions in the classroom
  • Exercise resolution
  • Case studies
  • Problem-based learning (PBL)
  • Tutoring
  • Synchronous forums

Evaluation Criteria

The evaluation criteria include:


  • Attendance
  • Degree of participation
  • Preparation of papers
  • Realization and presentation of the final project

Faculty

The faculty consists of academics and professionals with expertise in business analytics, including:


  • Vicenç Fernández Alarcón
  • Eva Gallardo Gallardo
  • Álvaro Moya, Adoración
  • Busquets Izquierdo, Carles
  • Cańabate Carmona, Antonio
  • Coromina Gimferrer, Javier
  • Costa Company, Roger
  • Cruz Moreno, Aitor
  • Cuervo Feliu de Cabrera, Carlos
  • Fernández Alarcón, Vicenç
  • Fons Lluis, Francisco
  • Gallardo Gallardo, Eva
  • Gallego Porto, Laura
  • Gómez Larrea, Sergio
  • Gras Basańez, Ińaki
  • Ilzarbe Izquierdo, Laura
  • Maquirriain Antońanzas, Javier
  • Matas Tarruella, Antoni
  • Moratinos Sánchez, Eduardo Rafael
  • Moreno Miralles, Edgar
  • Morente Pacheco, Francisco José
  • Perez Egea, Javier
  • Ramos Sánchez, Montse
  • Ribas Vila, Immaculada
  • Rico Flor, Jesús
  • Romera Cruz, Victor
  • Selva Grau, Francesc
  • Tobalina Colome, Daniel
  • Tsyvinskyi, Kostiantyn
  • Valoira Miqueo, Josep Maria
  • Vidal López, Eva
  • Villanueva Calderó, David

Collaborating Entities

The program has collaborating entities that support the development of the curriculum and provide opportunities for students to apply their knowledge in real-world settings.


Professional Outcomes

The program prepares students for various professional outcomes, including:


  • Strategic consulting or digitalization
  • Director and head of business areas
  • Project manager
  • Entrepreneur

News

The program is featured in various news articles and publications, highlighting its innovative approach to business analytics and its impact on the industry.


Admission and Registration

The admission and registration process for the program involves:


  • Submitting an application
  • Paying the registration fee
  • Providing required documents
  • Receiving a letter of admission

Conditions of Enrollment

The conditions of enrollment include:


  • Payment of the program fee
  • Attendance and participation in classes
  • Completion of assignments and projects
  • Adherence to the program's code of conduct

Cancellation and Refund Policy

The program has a cancellation and refund policy that outlines the conditions under which a student can cancel their enrollment and receive a refund.


Academic Regulations

The program is subject to the academic regulations of the University, which include rules and procedures for enrollment, attendance, assessment, and graduation.


Data Protection Policy

The program has a data protection policy that outlines the measures taken to protect the personal data of students and ensure their privacy.


Contact Information

For more information about the program, please contact the program coordinator or visit the program's website.


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