International Institute in Geneva

Prepare the students as new generation of managers who understand data and are fluent in data-driven decision making to solve real problems with Big Data in today’s digital world.

It is commonly accepted that data drives the 21st century. In today's world, everything is data-driven. Companies have more information about their business environment than ever before. And increasingly, they are recognizing the value of data to better understand the market and outpace competitors. In all sectors of the economy, companies urgently need analytics professionals to interpret this data and drive business transformation and growth. Business analytics, data analytics and decision making are nowadays closely related. Successful companies all over the world are looking for young talents to bring their ability to drive growth futher thanks to data.


Our Msc in Business Analytics and AI at the International Institute in Geneva is a practical program that echoes current data trends to train the next wave of data-savvy professionals.


Students have the opportunity to pursue a second degree at Boston University master’s degree program in an abbreviated time frame upon successful completion of the IIG’s master’s degree. Students will complete no less than 8 required courses to fulfill the requirements of the Boston University master’s degree.


5 reasons you should join our Master in Business Analytics and AI

  • Access analytical tools and methods to address a wide variety of business challenges.
  • Learn to recognize opportunities to influence the strategic direction of a company by applying analytical tools.
  • Learn how to source, store, and model internal and external data to answer questions and generate business value.
  • Learn to integrate sophisticated data analysis techniques, approaches, and models to impact outcomes and decision making.
  • Develop the managerial and analytical skills to implement change based on data-driven decisions.



  • Duration
    1 Year
  • Starting
    September November March
  • Courses
    14 Courses

Key Benefits

  • Multi-disciplinary program blending technology and business
  • Good balance of theory and practice with case studies and hands on exercises with real data
  • Explore the latest technologies and practices in Big Data, Data Science and Artificial Intelligence 
  • Learn one of the key skills employers are looking for the most, Cloud Computing, and add more value to your Masters by earning Amazon Web Services certificate  
  • Developed, advised and delivered by data analytics experts with industry and academic experience
  • Gaining insight into global businesses, their management and operations
  • Optional double degree with Boston University
  • Study tour to Silicon Valley 
  • Teaching on campus and online
Graduation Ceremony 2015

Program Details

In addition to business courses, the core curriculum in Business Analytics and IA trains young professionals to be future leading data scientists, analysts and top managers with courses in database fundamentals, data preparation, exploration, visualization techniques and communication/storytelling skills. The program also includes Artificial Intelligence/Machine learning methods for advanced analytics by using software technologies like SQL, Tableau, Python, and PowerBI, NumPy, Pandas, and KNIME.





IT and Data professionals with Cloud Computing skills are in high demand. Through our partnership with AWS Academy, we also deliver Cloud Computing content with a series of lab exercises that teach how to conduct Big Data analysis with practical, real-world examples. This will help our students to prepare to take an AWS Certification exam which is one of the most valuable certifications in the market and will open doors to a huge range of opportunities.  


The Master of Business Analytics and AI is comprised of 14 courses taken over one year. 

Course Descriptions

Trimester 1 Credits
  • TEC 605 – Introduction to Data, Databases & Data-Driven Decision Making This course will introduce the fundamentals of database modelling and design, how to access, integrate, organise, prepare and transform data for data analytics and introduce the concepts, methods and processes of business analytics for creating a competitive advantage.
  • QMB 513 – Statistical Methods for Data Analytics This course is designed to develop statistical thinking, understanding variation and using data to identify possible sources of variation. Specific techniques include basic descriptive and inferential procedures and regression modelling.
  • MKG 615 – Consumers and Markets Analytics This course offers methods, tools, and techniques for qualitative and quantitative analysis of consumer behaviour and markets, which constitute a key input for product strategies and the introduction of new products and services.
  • MGT 605 – Strategic Supply Chain Management This course is concerned with optimising the global supply chain and leveraging it as a value-creating strategy to gain competitive advantage in the global marketplace. It addresses issues related to sustainability, risk management and the challenges of establishing trust and collaboration amongst supply chain partners.
Trimester 2 Credits
  • TEC 650 – Artificial Intelligence and Applied Machine Learning This course provides an overview of AI technologies, explains how they can be used in practice from a business point of view, how Machine Learning is applied to disrupt industries, and their applications in structured and unstructured data.
  • TEC 640 – Python Programming for Data Science Learning Python is fundamental to understand what is data science and to learn how to put analytics and artificial intelligence at work. This course will cover manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models using Python.
  • MGT 657 – Project and Quality Management This course introduces students to the practices, concepts and techniques used in operations within manufacturing and service organizations. It teaches the fundamentals of Project Management and covers Quality Management concepts and tools.
  • COM 630 – Digital Communication and Marketing The course of Integrated Communication aims at giving the student the tools to analyze and develop brand communications initiatives. The course will look at the evolution of communication and advertising technique, focusing on the latest theories and approaches in digital era. The learning process will be based on theory, case studies and real-life classwork to learn how to develop a communication campaign, starting from the analysis of the business challenges to defining the consumer insight, briefing process, creative development and assessment. The key learning outcome of the course is giving the ability to the students to analyze communications, their effectiveness and manage the communication/creative process.
Trimester 3 Credits
  • TEC 635 – Exploring, Visualising & Story Telling with Data This course will cover the process of reframing a business question as a data question, identifying the relevant data, integrating and cleaning the data, performing the analysis, deriving and communicating insights from the analysis.
  • TEC 660 – Cloud Computing and Data Analytics This course aims to provide an overall understanding of cloud computing services and introduces students to some specific AWS services to collect, process, analyze, and present data.
  • MGT 666 – Managing Start-Ups Students will be exposed to all aspects of the entrepreneurial process, particularly in the digital era. This will include a discussion of what makes an entrepreneur – creativity, ability to distinguish between a business idea and a business opportunity, response to change and certain personality characteristics. Assembling resources, launching the business and harvesting rewards will also be discussed. Several sessions will be devoted towards developing a business concept, assessing and managing risk, and establishing a bankable business plan. Students are encouraged to develop and critically evaluate suitable business ideas in the digital era using entrepreneurship theories, concepts and frameworks.
  • MKG 620 – Digital Marketing Strategies In today’s fast evolving world, where the digitalization of the economy thanks to leading technologies is one of the best ways to take businesses on a growth trajectory, mastering Digital Marketing Strategies is a key success factor of successful Enterprises. For all companies, whatever the market or size, building company revenue and success requires the best Sales Strategies and appropriate best practices. Without these, a business will not achieve its strategic plan and consequently will be unable to deliver the expected results.
Trimester 4 Credits
  • MGT 650 – Digital Transformation Digital transformation is a fundamental driver of competitiveness for firms in a variety of industries. Digital transformation is not only about mastering technological change, but it involves and affects all aspects of the organization. Students will learn various methodologies, how to apply them to real cases, how to develop a roadmap to implement digital transformation for creating value, and develop skills as an innovator, entrepreneur or investor in new and dynamic environments.
  • TEC 698 – Business Analytics - Capstone Each student, individually or as a small group, will work on a data analytics project to apply analytics methodologies, techniques, tools and skills learned throughout the program to a real-world problem and present the results, insights, and recommendations.

Distinguished Speakers

Paul Polman

Paul Polman

Chief Executive Officer Unilever Graduation ceremony, 2014

Pedro Simko

Pedro Simko

Director Publicis Europe
Graduation ceremony, 2015


Nationalities of Master Students
  • 1. Europe (62%)
  • 2. Asia (28%)
  • 3. America (7%)
  • 4. Africa (3%)


The faculty at IIG in Switzerland, is international in experience, practical in orientation and focused on their teaching. The faculty members are student-centered and committed to foster a stimulating learning environment.

Study in Switzerland

Study in Switzerland

Geneva belongs to a select group of truly “international” cities of the world, making it an ideal place to study international management.

An International Network

An International Network

The International Institute in Geneva has established a strong network, developing exchange programs with 23 universities worldwide.

Your Career with your MSc-BA

Your Career with your MSc-BA

Data science/analytics is now a critical skill for every manager in digital age. Such skill help individuals to pursue career as business intelligence consultant, marketing analyst, data solutions architect, business analyst, big data analytics, chief data officer, and other relevant positions.

Career services

Career services

The International Institute in Geneva provides for counselling to assist students in their career decisions.

Learning Outcomes

  • Students will be able to learn how data analytics techniques are used as business intelligence to drive decision making and digital strategies;
  • Students will be able to learn techniques to effectively produce actionable reports and visualizations from data sets (structured/unstructured);
  • Students will be able to learn how to achieve advanced data analytics with AI/machine learning and big data;
  • Students will be able to learn how to develop a roadmap to implement data-driven digital transformation for creating value;



Admission Requirements

  • A completed application form (should include your Motivation letter)
  • Official Undergraduate Transcript (certified translation in English) (Minimum GPA recommended 2.7 or above on the scale of 0-4)
  • Official Undergraduate Diploma (certified translation in English)
  • Non-refundable application fee of CHF 150.- or € 140.- or USD 150.-
  • English proficiency test: either TOEFL (min score 80),  IELTS (min score 6.0) or Cambridge Certificate in Advanced English (CAE). IIG institutional code number for the TOEFL is 0130;
  • Curriculum Vitae stating any relevant professional work experience;
  • Letter of reference from an employer or a professor;
  • Copy of valid passport;
  • Two passport size photos.

The following additional requirements apply to MBA program candidates only:

  • A minimum Grade Point Average (GPA) of 3.0
  • At least 2 years of work experience is recommended
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