Master in Business Analytics & Data Science

Program Overview

Master in Business Analytics & Data Science

Duration

Three terms/one year

Number of Credits

60 ECTS

Start dates

October, January & March

Language

English

Fees per term

€ 5,450

Location

Digital

Overview

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.

Degree Awarded

• A university master’s degree (título propio) awarded by Universitat de Vic – Universitat Central de Catalunya (UVic-UCC), Spain.
• A master’s degree from EU Business School Switzerland, which is institutionally accredited by IQA and certified by eduQua and programmatically by ACBSP and IACBE.

Additional Qualification

After completing the master program, students will have the opportunity to earn an additional qualification, a U.K. state-recognized degree from London Metropolitan University (London Met).

To earn the MSc International Business Management, students must complete an additional 14-week Business Consultancy Project module (30 ECTS) and a Research Module.

London Metropolitan University

London Metropolitan University's (London Met) mission is to transform lives through the power of education – and it does that by welcoming students from all kinds of backgrounds and supporting them to achieve success.

London Met comprises six specialist schools, including the Guildhall School of Business and Law offering a dynamic and relevant portfolio of practice-focused and intellectually stimulating business courses.

High-quality teaching is at the heart of the experience offered to students at London Met. Recent achievements include:

• Ranked ninth in the U.K. for teaching quality by The Times and Sunday Times Good University Guide 2024
• Ranked 10th in the U.K. for student experience by The Times and Sunday Times Good University Guide 2024

Benefits of Studying a Master's

• International networking with classmates, lecturers and business professionals
• Improve critical-thinking skills and learn to be a problem-solver
• Gain a global perspective by studying in a diverse and multicultural environment

Why Digital?

Digital education offers the ideal solution for professionals searching for quality education that can be conveniently adapted to busy lives. The Digital Campus offers an international, flexible and hands-on learning experience guided by expert academics, entrepreneurs and business leaders from around the world.

Convenience and flexibility are key. While Digital Campus students are not confined to specific locations or classrooms, they still receive the same quality of education as their on-campus peers. Students can organize their studies around their professional and personal commitments. They can attend scheduled webinars from anywhere in the world, or watch recorded sessions later on at their convenience. Students can connect with multicultural classmates from around the globe and participate in optional on-campus weeks at EU’s campuses in Barcelona, Geneva and Munich.

Faculty

EU's faculty is composed of highly qualified academics, entrepreneurs, consultants and business leaders.

All courses are taught by lecturers with a wealth of practical experience in their fields. Our teaching staff create a personalized and interactive learning environment that promotes and fosters the skills and knowledge required for a successful career in business. The caliber of the faculty and a culture that values and rewards an entrepreneurial spirit are what make EU Business School stand out.

This Program is Also Available in

• Barcelona
• Geneva

Success Stories

EU prepared me for taking on future challenges and also helped me a lot with networking. Actually, it was here at EU, through their networking events, that I got offered my current position.

Carla Solimano, Master in Digital Business, Peru

Other Programs That Might Interest You

• Master in Finance
• Master in Tourism & Hospitality Management
• Master in Innovation & Entrepreneurship
• Master in Marketing
• Master in Digital Business

Discover Our Campuses

• Barcelona
• Geneva
• Munich
• Digital

Professional Accreditations

• ACBSP
• IACBE
• eduQua
• IQA

Validating & Accrediting Partners

• Universitat de Vic – Universitat Central de Catalunya (UVic-UCC)
• London Metropolitan University (London Met)

Program Outline

• This program provides students with a comprehensive foundation in data science, using industry-leading software, tools, and applications.
• Students gain practical experience with advanced web-based applications and toolsets.

Degree Awarded:

• A university master's degree (título propio) awarded by Universidad Católica San Antonio de Murcia (UCAM), Spain.
• A master's degree from EU Business School Switzerland, which is internationally accredited by ACBSP, IACBE, IQA, and certified by eduQua.

Overall Focus:

• Applying a hands-on approach to give students a comprehensive foundation in data science.
• Learning how to apply data management skills to a business setting to effectively implement data-driven solutions.

Outline:

Program Content:

• Data Analytics
• Business Intelligence
• Machine Learning
• Big Data
• Statistical Modeling
• Data Visualization
• Database Management
• Programming Languages (e.g., Python, R)
• Data Ethics

Course Schedule and Modules:

• Term 1:
• Introduction to Data Science
• Business Analytics
• Statistical Modeling
• Data Visualization
• Programming for Data Science (Python)
• Term 2:
• Machine Learning
• Big Data Analytics
• Database Management
• Data Mining
• Deep Learning
• Term 3:
• Advanced Data Analytics
• Business Intelligence
• Data Ethics
• Capstone Project

Module Descriptions:

• Introduction to Data Science: Provides a foundational understanding of data science concepts and methodologies.
• Business Analytics: Introduces students to the various techniques used to analyze business data and extract meaningful insights.
• Statistical Modeling: Teaches students how to build and interpret statistical models for data analysis.
• Programming for Data Science (Python): Equips students with the essential Python programming skills needed for data analysis.
• Machine Learning: Introduces students to the key concepts and algorithms of machine learning, with a focus on practical applications.
• Big Data Analytics: Covers the technologies and techniques used to analyze large and complex datasets.
• Database Management: Provides students with the knowledge and skills to design, implement, and manage databases for data storage and retrieval.
• Deep Learning: Introduces students to the advanced concepts and techniques of deep learning, a powerful subset of machine learning.
• Advanced Data Analytics: Offers an in-depth study of advanced data analytics techniques and applications.
• Data Ethics: Explores the ethical implications of data collection, analysis, and use.
• Capstone Project: Provides students with the opportunity to apply their acquired knowledge and skills to a real-world data science problem.

Assessment:

• A combination of coursework assessments, exams, and a capstone project is used to evaluate student learning.
• Coursework assessments may include quizzes, assignments, and presentations.
• Exams are typically written and cover the material taught in each module.
• The capstone project requires students to apply their data science skills to a real-world problem and present their findings in a comprehensive report.

Teaching:

• The program is taught by experienced faculty with expertise in data science, business analytics, and related fields.
• The faculty uses a variety of teaching methods, including lectures, case studies, group work, and hands-on exercises.
• The program also features guest lectures from industry professionals, providing students with real-world insights into the field of data science.

Careers:

• Graduates of this program are well-prepared for a variety of careers in data science, business analytics, and related fields.
• Potential career paths include data scientist, business analyst, data analyst, data engineer, and machine learning engineer.
• The program also provides students with the skills and knowledge they need to pursue further studies in data science or related fields.

Other:

• The program is offered on a full-time basis and can be completed in one year.
• The program is available entirely online, making it accessible to students worldwide.
• The program is taught in English.
• The program curriculum is regularly updated to reflect the latest advancements in data science and technology.
• The program provides students with access to a dedicated career services team to assist them with their job search.
• The program has a strong alumni network that provides graduates with valuable networking and career opportunities.