Bachelor of Business Administration
EU Business School, Spain, offers a dynamic and internationally focused Bachelor of Bus...
Masters in Business Analytics & Data Science
Barcelona
INTAKE: Jan, April & Oct
Program Overview
The Master in Business Analytics & Data Science at EU Business School, Spain, is a specialized program designed to provide students with the essential knowledge and skills to excel in the fields of business analytics, data science, and big data management. This program focuses on using analytical tools, data-driven strategies, and data visualization techniques to solve business problems and guide decision-making processes. Students will gain expertise in analyzing large sets of data, extracting meaningful insights, and utilizing advanced tools such as machine learning, artificial intelligence, and statistical analysis to drive business growth and innovation. The program is tailored for individuals aiming to become leaders in data-driven business environments.
Curriculum: The curriculum for the Master in Business Analytics & Data Science at EU Business School is comprehensive and includes both theoretical and practical components. Core courses cover subjects such as Data Analytics, Predictive Modeling, Data Mining, Machine Learning, and Big Data Technologies. Additionally, students engage in modules focusing on Data Visualization, Business Intelligence, Programming for Data Science, and Statistical Analysis, which allow them to gain a solid foundation in data manipulation and interpretation. Elective courses provide opportunities to specialize in specific areas such as artificial intelligence, blockchain technology, or digital transformation. The program emphasizes a hands-on approach, offering real-world projects and case studies to enhance learning and ensure that graduates are well-prepared to tackle industry challenges.
Research Focus: The research focus of the Master in Business Analytics & Data Science is geared toward practical applications of data science within the business context. Students will engage in research projects that explore emerging trends in data analytics, artificial intelligence, and business optimization through data. The research aspect of the program emphasizes data-driven decision-making and aims to bridge the gap between technical analysis and business strategy. Topics often include predictive analytics for marketing, the role of big data in financial decision-making, and how data science can be integrated into various business functions to improve operational efficiency and competitive advantage.
Industry Engagement: EU Business School places a strong emphasis on industry engagement, ensuring that students of the Master in Business Analytics & Data Science are equipped with the latest tools, techniques, and insights from the field. The program offers numerous opportunities for students to collaborate with industry professionals through internships, company visits, and guest lectures by experts in business analytics and data science. Partnerships with leading companies in technology, finance, and consulting allow students to gain hands-on experience and build a professional network that will be invaluable upon graduation. Students also benefit from career counseling and industry-focused workshops designed to enhance their employability and ensure they are prepared for the rapidly changing business landscape.
Global Perspective: The Master in Business Analytics & Data Science offers a global perspective, as EU Business School attracts a diverse student body from around the world. The program prepares students to understand and navigate the global business environment by incorporating case studies and examples from international companies. This global outlook is complemented by the faculty's expertise in various regional markets and their focus on cross-border business analytics applications. Additionally, students can take part in international exchange programs and global networking opportunities, which further expand their understanding of global business analytics trends and challenges. This broad international exposure equips students with the skills needed to work in multinational organizations and manage complex data-driven projects on a global scale.
Location
Barcelona
Score
IELTS 6.5
Tuition Fee
€ 16350
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 60% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 6.5 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 89.
EU Business School in Spain offers a range of scholarship opportunities to international students pursuing undergraduate, graduate, and MBA programs. These scholarships are designed to make higher education more accessible and provide financial assistance to talented students who demonstrate academic excellence, leadership potential, and financial need.
Academic Excellence Scholarship: EU Business School rewards students with outstanding academic achievements through its Academic Excellence Scholarship. This scholarship is awarded based on the student’s high academic performance and exceptional grades in previous studies. The amount awarded varies depending on the level of study and is intended to encourage and support the student’s academic journey.
Sports Scholarship: For students who have demonstrated significant athletic ability, EU Business School offers Sports Scholarships. These scholarships are designed for talented athletes who can contribute to the university’s sports teams and represent the institution in various competitions. The sports scholarship helps cover a portion of the tuition fees, supporting students in balancing their academic and athletic pursuits.
Diversity Scholarship: EU Business School values diversity and internationalism, and its Diversity Scholarship is offered to students from diverse cultural and geographical backgrounds. This scholarship aims to promote an inclusive learning environment by attracting students from all over the world. Applicants who can demonstrate their potential to contribute to the global diversity of the student body may be eligible for this scholarship.
Entrepreneurship Scholarship: EU Business School encourages students with a passion for entrepreneurship to apply for the Entrepreneurship Scholarship. This scholarship is intended for students who show promise in developing innovative business ideas or have a strong interest in starting their own ventures. It provides financial support to students pursuing business programs with a focus on entrepreneurial skills and innovation.
Need-Based Scholarship: EU Business School also offers need-based scholarships to international students who require financial assistance to pursue their studies. These scholarships are awarded based on the student’s financial situation and are designed to make education more accessible to those who may otherwise struggle to afford the tuition fees. To apply, students must provide evidence of financial need.
Regional Scholarships: EU Business School provides regional scholarships to students from specific countries or regions, promoting diversity within the international student body. These scholarships are typically offered to students from regions such as Latin America, Africa, and Asia, offering a partial reduction in tuition fees.
The Masters in Business Analytics & Data Science from EU Business School equips students with a robust skill set for a variety of career paths in data-driven industries. Graduates can pursue careers in business analytics, data science, machine learning, artificial intelligence, and business intelligence.
Data Analyst: Analyze complex data to uncover trends and insights that help businesses make informed decisions.
Data Scientist: Work with large datasets and employ algorithms and machine learning models to predict business outcomes.
Business Intelligence Analyst: Create strategies for data-driven decision-making, using various analytics tools to support business growth.
Machine Learning Engineer: Develop algorithms and models that enable systems to learn from data and improve over time.
Big Data Architect: Design and manage large-scale data systems, ensuring that data storage, processing, and retrieval are efficient and secure.
Quantitative Analyst: Use statistical techniques to assess financial data and market trends to guide investment decisions.
AI Specialist: Specialize in the development and implementation of artificial intelligence technologies in business processes.
