International University 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.

The Master of Business Analytics (MSc-BA) is designed for young professionals interested in data science/analytics which is now a critical skill for every manager in digital age. This program provides the technical skills and business vision to understand, work and decide with the data. The Master of Business Analytics is a comprehensive introduction to big data, databases, opportunities and challenges. Our program trains young individuals how to explore/analyze and visualize ‘big data’ sets to derive insights, how to communicate them as well as how to use Artificial Intelligence and Machine Learning methods to support decision making and digital transformations for both private and public organizations.   

  • Durée
    1 an
  • Début des cours
    Septembre Novembre
  • Cours
    14 Cours

Bénéfices

  • 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 ;
  • Providing the key skills employers are looking for the most ;
  • Developed, advised and delivered by data analytics experts with industry and academic experience ; 
  • Gaining insight into global businesses, their management and operations.
PLAY
Remise des diplômes 2015

Détails du programme

In addition to business courses, the core curriculum in Business Analytics 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.  

 

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

Description des cours

Trimestre 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.
    3
  • 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.
    3
  • MKG 615 – Consumer and Market Insight 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.
    3
  • 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.
    3
Trimestre 2 Credits
  • TEC 635 – Exploring, Visualizing & Storytelling 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.
    3
  • 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.
    3
  • MGT 657 – Operations and Project 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.
    3
  • 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.
    3
Trimestre 3 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.
    3
  • TEC 660 – Text Mining/Unstructured Data Analytics This course will cover the analysis of unstructured data, fundamentals of text mining, sentiment analysis, mining digital media and social networks.
    3
  • MGT 610 – Leadership and Organizational Behaviour Students study a range of important variables that affect the behaviour of people inside an organization including leadership styles, the process of effective management, interpersonal communication skills, motivation, effective presentations and organization design, as well as the dynamics of conflicts in organizations. This course involves a high degree of participation and project work with adult learning techniques such as action learning and learning contracts.
    3
  • MKG 620 – Sales Management This course is designed for professionals who wish to advance their careers in sales and marketing. It addresses questions such as : how are successful sales and marketing strategies designed, advanced sales and marketing tools applied and sales activities efficiently planned, staffed, led and controlled.
    3
Trimestre 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 lean various methodologies and apply them to real cases and simulations.
    3
  • TEC 698 – Data Ethics/Privacy/Governance and Capstone project This course will explore ethical, social and legal ramifications of the choices made at the different stages of the data analysis. In addition, each student, individually or as a small group, will work on a data analytics project to apply analytics methodologies, techniques, and tools learned throughout the program to a real-world problem and present the results, insights, and recommendations.
    3

Orateurs invités

Paul Polman

Paul Polman

Chief Executive Officer, Unilever Cérémonie de remise des diplômes 2014

Pedro Simko

Pedro Simko

Directeur, Publicis Europe
Cérémonie de remise des diplômes 2015

Why IUG

Nationalities of Bachelor Students
  • 1. Europe (45%)
  • 2. Asia (28%)
  • 3. America (17%)
  • 4. Africa (10%)
Faculty

Faculty

The faculty at IUG 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 University 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 University in Geneva provides for counselling to assist students in their career decisions.

Prérequis d'admission

  • 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). IUG 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:

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