We have created an innovative business management and international business programme that offers a 360º approach to companies, the working environment and corporate efficiency. It’s based on a wide range of academic and business fields and on crucial qualities such as flexibility, adaptation, reflection and resolution.
The advanced learning experience of our Master in International Business STEM in Barcelona is based on four pillars: practical methodologies and techniques; personal and professional development; strategic decision-making; creativity and innovation.
This master's degree is aimed at people interested in growing professionally in this sector.
1. Double International Vision
Knowledge of Internationalisation Processes twice over: By delving into the business models of internationalised companies and by applying the theoretical framework to a geographic and competitive global context.
2. Data & Business Analytics
Business Analytics & Big Data specialisation, combined with Data Science knowledge, gives you competitiveness in the labour market, but also provides you with an analytical vision of the company's decisions and strategy.
3. Business Game
A practical learning experience to understand strategic planning and execution within a context that resembles the reality of the business world. It allows you to immediately improve the strategic situation of your company.
MODULE 1
GLOBAL MARKETS AND PEOPLE MANAGEMENT
Current socioeconomic context- 6 ECTS
Economic environment
Financial systems and markets
Fiscal and legal
Sustainability and environment
Legal trends
Marketing and commercialization in international environments - 6 ECTS
Marketing strategies
Communicating
Digital Marketing & E-Commerce
Sales management
Intellectual capital and talent management - 6 ECTS
Human capital management
Cross-cultural management
Diversity and inclusion
Management of change
MODULE 2
ORGANIZATIONAL STRATEGY
Business Strategy - 6 ECTS
Competitive advantage
Strategy
International strategy
Business Game
VUCA Environments and Digital Ecosystem
Leadership for sustainability
Disruptive technologies for business
Business performance analysis and emerging technologies
Finance for the decision making - 6 ECTS
Financial planning and control
Budget management
Decisions on financing
Investment decisions
Financial markets and start-up ecosystems
Mergers and acquisitions
Business Intelligence
Entrepreneurship and Internationalization - 6 ECTS
Digital business and innovation
Agile project management - PRINCE2 and SCRUM
Growth Hacking
Thought of design
Analysis of the internationalization strategies
International Markets
MODULE 3
INTERNATIONAL BUSINESS
Information Technologies Management - 6 ECTS
Strategic management of technologies
Introduction to ICT projects
Project Management
Technological management tools
International Financial Risk Management- 6 ECTS
Financial Markets
Financial risk management
Cost of international capital
International valuation of companies
MASTER'S THESIS
12 ECTS
It’s not just the research paper you need to do in order to get your master’s degree — it’s the right time and the right place for you to combine your academic experience with your professional ambition, personal vision and your creativity. It’s your chance to put everything you’ve been learning into practice and to work in order to get to where you want to be.
BUSINESS ANALYTICS AND DATA SCIENCE
Data Analytics and Visualization
2 ECTS Data Science Programing: R and Python
Introduction to R and Phyton programming
Big Data Analysis based on R and Phyton
Use of Phyton in data collection, statistical analysis, and machine learning
Use of R in data mining, statistical analysis, and machine learning
2 ECTS Data Visualization: R and Tableau
Exploratory visualization processes with R and Phyton
Generation of reports/ dashboards with Tableau Data Science
Data Science
2 ECTS Automated Data Science
Introduction to Automated Data Science for decision business decision business decisions
Templates and models of strategic tools (Balance Score Card, OKR)
2 ECTS Machine Learning in Finance
Financial applications of machine learning
Predictive analysis of client behavior
2 ECTS Machine Learning in Economics
Application of machine learning algorithms at a macroeconomic level
You will obtain 2 Degrees: EAE y UdL:
To begin the master's degree, the interested party must have a university degree
Información Adicional
Star: October
Full Time:
On-Site
10 Months
Monday to thursdays and two fridays per month (intensive morning or afternoon schedule)
