Master in Business Analytics And Data Science
Geneva, Switzerland
DURATION
1 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Mar 2025
TUITION FEES
CHF 32,880 / per year *
STUDY FORMAT
On-Campus
* Swiss passport-holders and/or residents of Switzerland will benefit from a special domestic rate
Key Summary
Open day for Master's & MBA programs
Come and meet us at EU Geneva | March 7
Introduction
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 comprehensive knowledge of 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.
- Duration: Three terms/one year
- Number of Credits: 60 ECTS
- Start Dates: October, January & March
- Language: English
- Fees per Term: € 4,600
- Location: Barcelona
Degree Awarded
- 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.
Learning From Leaders
Events that introduce EU students to globally successful leaders are a fundamental aspect of our approach to providing the business education that will kick-start your career.
Chairman of Siemens & Maersk Jim Hagermann Snabe spoke to EU students about leadership in times of radical change. He advised them to throw away the rule book, prioritize innovation and disruption, and empower those around them to unleash human potential for positive transformation.
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 Barcelona?
Studying a Master in Business Analytics & Data Science in Barcelona gives students the opportunity to expand their business knowledge in one of the world’s most advanced smart cities. Entrepreneurs and innovators are nurtured and cultivated in this forward-thinking city, which attracts outstanding tech talent and innovative startups, of which there are currently more than 1300. Barcelona is also home to some of the world’s largest multinational companies, including Airbnb, Amazon, and the Siemens Innovation Center.
This diverse and cosmopolitan city on the Mediterranean coast boasts almost five kilometers of golden beaches and provides students with excellent opportunities for sports activities and socializing. Famously home to FC Barcelona, it also has a wide array of cultural offerings including museums, UNESCO-listed monuments, and architectural gems from the city’s most celebrated son, Antoni Gaudí.
Gallery
Admissions
Curriculum
Term 1
- Introduction to Big Data & Data Science
- The Data Science Toolkit
- The Big Data Toolkit
- Data Security & Privacy
- Masterclass I
Term 2
- Machine Learning
- Deep Learning & AI
- Data Visualization & Communication
- Data Visualization Lab
- Masterclass II
Term 3
- Business Intelligence
- Management Information Systems & ERP
- Business Analytics
- Data-Driven Management
- Masterclass III
Rankings
Ranked #1 in Class & Faculty Diversity by QS Top MBA 2023
Best Business School in Catalunya (Barcelona) according to La Razón
MBA Program Ranked #3 in Spain by Forbes Magazine
Awarded four stars for excellence in business education by QS Stars
EU's MBA is recognized as #20 in the world by América Economía
EU's Online MBA ranked #24 in the world by QS Top MBA
EU's MBA ranked #25 worldwide in QS International Trade Rankings 2023
Ranked Top 50 in the QS European MBA Rankings 2023
Ranked fifth in the QS MBA Guide Return on Investment Report for salary uplift in Europe
Placed sixth as best business school for women by Capital magazine
Ranked in the top 100 worldwide for career specialization (MBA in Entrepreneurship)
Ranked in the top 100 worldwide for career specialization (MBA in Marketing)
Ranked in the Top 150 in the QS Global MBA Rankings 2023
EU's Online MBA ranked top in CEO Magazine’s Online Global Rankings nine years running
Ranked Premier DBA program by CEO Magazine
Listed as a top 30 European higher educational institution for entrepreneurship by EU-Startups
Program Outcome
Learning Outcomes
This master’s program provides a comprehensive of data science to business professionals who work with data, lead data scientist teams, or are looking to manage a data-driven enterprise. Students will:
- Obtain an extensive top-level understanding of data science using industry-leading software, tools, and applications.
- Gain hands-on experience with advanced web-based applications and toolsets and understand how machine learning and deep learning can provide solutions to business problems.
- Use data as a strategic resource and apply data management skills to the business setting to effectively implement data-driven approaches to gain valuable insights.
Career Opportunities
The Master's in Business Analytics & Data Science provides students with the theoretical and practical skillsets necessary to succeed in the fields of business analytics and data science. Upon successful completion of this master's degree, students might be interested in the following job positions.
Data Analytics Consultant
The role of a data analytics consultant involves translating numerical data into a more accessible, comprehensible form. Data analytics consultants work with data sets and models in order to derive meaningful insights and solve problems, combining analytical acumen with business expertise to deliver the most relevant solutions possible.
Data analytics consultants should possess exceptional critical thinking skills and data visualization abilities. Problem-solving acumen and effective communication skills are also valuable in this role.
Operations Analyst
Operations analysts are primarily responsible for identifying inadequacies in business models and operations. Once these flaws have been identified, operations analysts will then carry out research, investigate workflows, and recommend changes, while also conducting internal audits.
Analytical skills are essential in this career, as problem-solving is the operations analyst’s main task. Due to the multidisciplinary nature of their work, analysts must also be able to work effectively as part of a team and communicate information clearly and concisely.
Data Scientist
A data scientist collects information such as usage statistics and analyzes it to better understand how a business performs and to advise the business based on those metrics. Data scientists also build artificial intelligence tools that automate certain business processes.
Data extraction, transformation, and visualization are all essential skills for data scientists. They also require a thorough knowledge of math, particularly statistics, and further benefit from fluency in one or more programming languages.
Financial Risk Manager
A financial risk manager identifies and analyzes threats to assets, earning capacity, or the success of any given business. They can work in various industries, including sales, marketing, financial services, and more. Many financial risk managers specialize in business-focused areas such as credit or market risk.
Financial risk managers should possess a comprehensive knowledge of finance, effective communication skills, and solid analytical thinking abilities. Finance modelling and statistics are also highly valued by candidates seeking this position.
Areas of Work
The Master's in Business Analytics & Data Science presents students with the opportunity to obtain key theoretical and practical expertise in both business analytics and data science fields. Graduates may wish to consider employment in the following professional sectors:
- Business Analysis Consultancy
- Project Management
- Data Analytics
- Cybersecurity Management