Imparte:
EU Business SchoolThe digital transformation of business is accelerating, and customers are increasingly empowered and selective. This program will give students the skills to design effective digital marketing campaigns, apply a strategic approach to planning digital transformation, re-design and re-imagine businesses and products driven by new technologies and understand consumer motivation and the fundamentals behind search engine algorithms. They will also learn how to develop innovative ideas using the design thinking process among other ideation techniques.
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
Digital Marketing Strategies
Marketing Web Analytics & Metrics
Digital Technologies And Change Management
Social Media Marketing & Advertising Strategies
Seminar: Boosting Creativity
Term 2
Ideation & Brainstorming Techniques
Design Thinking
Leadership & Entrepreneurial Thinking
Customer Relationship Management
Seminar: Communication Skills
Term 3
Digital Transformation Strategy
Crafting the Digital Business Model
Digital Startups
New Tech
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.