Master in Business Analytics & Data Science - Máster en Análisis de Negocios y Ciencia de Datos
Imparte:
EU Business School-
Imparte:
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Modalidad:Presencial en München
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Precio:Consultar rellenando el formulario
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Comienzo:Convocatoria Continua
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Lugar:EU Business School Munich
Theresienhöhe 28
München 80339
Alemania -
Horario:START DATES: January, March and October
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Duración:60 ECTS
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Condiciones:Deadline for admission to this program: one month before each start date.
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Titulación:A university master’s degree awarded by Universidad Católica San Antonio de Murcia (UCAM), (título propio), a state-recognized university in Spain. A master´s degree from EU Business School Switzerland which is internationally accredited by ACBSP, IACBE, IQA and certified by eduQua.
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Otras Convocatorias:
Technology advances have dramatically changed the way businesses function, and expertise in business analytics and data science is essential to leverage technology for optimal results. Applying a hands-on approach, this program gives students a comprehensive foundation in data science, using industry-leading software, tools and applications. Students will gain practical experience with advanced web-based applications and toolsets, understand how to use data as a strategic resource and learn how to apply data management skills to a business setting in order to effectively implement data-driven solutions.
1 certified copy of bachelor´s degree and transcripts
Proof of English level: TOEFL score 89 (internet-based), 233 (computer-based); IELTS 6.5; CAE C1 with a minimum score of 176; English native or equivalent
Candidates who wish to apply for the MBA dual qualification in Switzerland and Barcelona or for the MBA program in Munich, must have 2+ years of professional work experience in addition to the requirements listed above.
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
Students not meeting these criteria will have an interview with the admission committee and will be considered on a merit basis. For more information, please contact the admissions department of your chosen campus.
Term 1
Introduction to Big Data & Data Science
The Data Science Toolkit
The Big Data Toolkit
Business Management
Seminar: Becoming a Manager
Term 2
Machine Learning
Deep Learning & AI
New Product Development
Data Visualization Lab
Seminar: Authentic Leadership
Term 3
Business Intelligence
Blockchain 101
Business Analytics
Data-Driven Management
Seminar: Online Reputation Management
Final Project
Students will also be required to submit a final project (6 ECTS/4CH) at the end of their studies and to attend field trips, company visits and fairs as part of the experiential learning method.
Data Analytics Consultant
Operations Analyst
Data Scientist
Financial Risk Manager
