Máster online
Duración : 1 Año
Unlock the power of data to transform results with our Master in Business Analytics & Data Science. Strengthen your grasp of data tools and software, understanding the roles of visualization, KPIs and Big Data as you enhance communications between stakeholders and data science professionals.
Identifying key insights in a data-heavy world, you’ll access careers in data analytics, business intelligence consulting and AI, together with finance, operations and project management.
Want to expand your horizons? You can transfer between our EU campuses and expand your international experience.
Emagister S.L. (responsable) tratará tus datos personales con la finalidad de gestionar el envío de solicitudes de información y comunicaciones promocionales de formación con tu consentimiento. Ejerce tus derechos de acceso, supresión, rectificación, limitación, portabilidad y otros, según se indica en nuestra política de privacidad.
Objetivos
This master’s program provides a comprehensive foundation of data science to business professionals who work with data, lead data scientist teams or are looking to manage a data-driven enterprise. Students will: -Obtain an extensive top-level understanding of the foundations of data science using industry leading software, tools and applications. -Gain hands-on experience with advanced web-based applications and toolsets and understand how machine learning and deep learning can provide solutions to business problems. -Use data as a strategic resource and apply data management skills to the business setting to effectively implement data-driven approaches to gain valuable insights.
Requisitos
a) Academic requirements: -1 certified copy of bachelor's degree and transcripts b) Proof of English level: -TOEFL score 93/4.5 (as of Jan 2026) (internet-based), 238 (computer-based); IELTS 6.5; CAE C1 with a minimum score of 176; minimum PTE-A of 59; native speaker of English or equivalent. c) Applicants must also meet one of the following: -A GPA of 3.0 on a 4.0 scale -A satisfactory score on the GMAT or GRE -An interview with the academic dean *If you do not meet these criteria, contact our team to arrange an interview with the admission committee and your application will be considered on a merit basis.
Temario completo de este curso
Term 1 (18 ECTS)
Data Science & Analytics in Business
Unlocking the Power of Big Data
Tools for Success
Business Immersion Week
Winning Strategies for Market Entry
Term 2 (18 ECTS)
Machine Learning & AI
Data Visualization & Communication
Developing a Leadership Edge
Strategic Development for Business Success
Business Immersion Week
Term 3 (18 ECTS)
Business Intelligence
From Data to KPI
Building Successful Teams
New Product Development for Growth
Business Immersion Week
Final Capstone Project: This Capstone Project is an opportunity for students to apply their knowledge and skills from previous courses in their program to either create a business plan or expand on a previous project. Through this project, students will comprehensively understand business principles, methods, tactics, and practical insights into the tools and resources required to begin or manage a successful business.