Master's Degree in Information Management, with a Specialization in Business Intelligence

Who is it for?

This program is aimed at recently graduated students who plan to pursue a career in the business analytics field, as well as those seeking career advancement or change, especially from fields such as Management, Engineering, Economics, Statistics, Information Management, Computer Science, or related.

The program answers the industry’s demand for business information systems and data analytics, ensuring graduates have the required training to manage and build actionable insights. This Master's Program is designed with full-time students in mind also this Master's Program is held after working hours and it is designed with working professionals in mind.

This program lasts 3 semesters: 2 correspond to the curricular component and 1 to the development of a thesis or work project and the realization of the Course Unit of Research Methodologies, in a total of 95 ECTS.

The curricular component (1st and 2nd semesters of the program) corresponds to 60 ECTS, of which 45 are in mandatory course units:

Mandatory course units

• Business Intelligence I
• Business Intelligence II
• Data Governance
• Data Mining I
• Data Mining II
• Data Privacy, Security, and Ethics
• Data-driven decision making
• Dissertation/ Work Project/ Internship Report
• Knowledge Management
• Research Methods

The remaining 15 ECTS corresponding to the Elective Course Units, will be chosen by the students among a wide range of available course units.

1st year - Fall Semester

• Business Intelligence I
• Data Governance
• Data Mining I
• Data Privacy, Security, and Ethics
• Applied Multivariate Data Analysis
• Applied Network Analysis
• Brand Management
• Business Process Management
• Change Management
• Data Management and Storage
• Database Management Systems
• Digital Analytics
• Digital Marketing & E-Commerce
• Digital Transformation
• Experimental Design
• Forecasting Methods
• Information Management Systems
• Information Systems Development
• Information Systems Governance
• Information Technologies Services Management
• Investments and Portfolio Management
• Life Insurance
• Marketing Strategy and Innovation
• Non-Life Insurance
• Statistical Analysis
• Time Series Analysis

1st year - Spring Semester

• Business Intelligence II
• Data Mining II
• Data-driven decision making
• Knowledge Management
• Architectures for Information Systems
• Big Data Analytics
• Blockchain
• Blockchain & crypto assets
• Business Impact of Digital Projects
• Consumer Behavior Insights
• Credit Risk Management
• Customer Relationship Management Systems
• Cybersecurity
• Data Collection, Administrative Sources, and Big Data
• Data Visualization
• E-Business
• Econometrics Methods
• Emerging Technologies for Innovation
• Enterprise Cloud Mobility
• Financial Derivatives and Risk Management
• Generative Artificial Intelligence
• Industry 4.0
• Information Project Management
• Information Project Management II
• Innovation Management and Design Thinking
• Leadership and People Management
• Market and Liquidity Risk Management
• Market Research
• Process Mining Powered By Nokia
• Sampling Theory and Methods
• Search Engine Optimization
• Smart and Sustainable Cities
• Social Media Analytics

2nd year - Fall Semester

• Dissertation/ Work Project/ Internship Report
• Dissertation/Internship Report/Project
• Research Methods

Goals

The goal of this program is to train technical staff and managers to:

• Introduce the principles of Knowledge Management to improve organizational efficiency and effectiveness, to promote the competitiveness of organizations
• Understand the process of Business Intelligence and its role in creating value for the business
• Use analytical applications to monitor organizations' performance and visualization tools
• Understand the purpose and meet the main techniques of Data Mining and Predictive Analytics
• Identify the key indicators of the analytical applications in a business context.