Master en Business Analytics (MSc-BA)

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.

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.

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 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.

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.

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.

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 – Cloud Computing Foundations(AWS) and Capstone This course aims to provide an overall understanding of cloud computing concepts, models and services and build cloud computing skills preparing students for AWS certification(Amazon Cloud Practitioner Certification) which is one of the most prestigious in the market. The lab exercises teach students how to conduct Big Data analysis with practical, real-world examples. In addition, 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. It could be analytical projects with Tableau, PowerBI, Python, AI libraries, Cloud architecture using AWS, or cases on the impact of big data, AI or analytics in company strategy.