Programme Structure for 2025/2026
Curricular Courses | Credits | |
---|---|---|
1st Year | ||
Strategy and Reporting
6.0 ECTS
|
||
Exploratory Data Analysis
6.0 ECTS
|
||
Big Data Analytics
6.0 ECTS
|
||
Business Analytics Applications
6.0 ECTS
|
||
Predictive Analytics
6.0 ECTS
|
||
Database Management
6.0 ECTS
|
||
Prescriptive Analytics
6.0 ECTS
|
||
Unstructured Data Analytics
6.0 ECTS
|
||
Seminar in Business Analytics
6.0 ECTS
|
||
2nd Year | ||
Research Project Seminar in Business Analytics
6.0 ECTS
|
||
Master Project in Business Analytics
42.0 ECTS
|
||
Master Dissertation in Business Analytics
42.0 ECTS
|
Recommended optative
1st Year Data Analysis and Data Communication with Excel (03281)
2st Year Business Analytics Overview (03282)
Objectives
The ultimate aim of the Master's in Business Analytics is to train professionals with the ability to develop and respond to business management problems that require knowledge of analytical management tools, based on three main areas of knowledge: Management, Statistics and Information Technology.
The master's degree aims to equip students with the ability to know analytical tools and to know how to recommend and use them in scientific and/or professional environments, enabling them to develop business solutions centred on analysis. Its primary objective is therefore to introduce concepts, theories, methodologies and models from the different areas of business analytics and apply them in a real context, from a project-based learning perspective, which also aims to bring students closer to professionals and the business reality.
In addition, it aims to equip students with the ability to correctly interpret analytical results and to adequately communicate, in writing and orally, the analytical solutions proposed and the knowledge and reasoning, sometimes complex, underlying them in order to solve business problems.
By the end of the program, the students in the Master in Business Analytics will have gained the following competencies and reached the following learning objectives:
1) Competence in producing written communication in business environments with impact and effectiveness, namely:
1.1) Produce a well-structured written document
1.2) Clearly identify and communicate the relevant key messages within a written document
1.3) Clearly express the link between theoretical arguments and specific practical issues within a written document
1.4) Effectively summarize ideas and conclusions within a written document
2) Competence in delivering oral communication in a business environment with impact and effectiveness, namely:
2.1) Select the appropriate format for a given presentation
2.2) Demonstrate confidence that the communication was well-prepared
2.3) Develop and make presentations with impact
3) Competence in ethical behavior, responsibility, and sustainability, namely:
3.1) Identify and discuss the myriad challenges surrounding corporate responsibility and/or sustainability
3.2) Recognize and critically reflect on ethical dilemmas
4) Competence in Thinking critically about topics, namely:
4.1) Select and interpret relevant data and references from academic and non-academic sources
4.2) Analyse issues effectively, leading to the formulation of well-supported conclusions or solutions
5) Competence in teamwork and interpersonal dealing, namely:
5.1) Organize and allocate tasks among group members to meet goals in an efficient and effective manner
5.2) Show a willingness to listen to others and exhibit curiosity about what people are saying and experiencing
5.3) Schedule tasks to meet milestones deadlines
6) Competence in Business Analytics, namely:
6.1) Critically apply the concepts and methodologies of business analytics
6.2) Apply statistical or machine learning techniques to analyse business data
6.3) Interpret analytical results/solutions and identify appropriate courses of action for a business problem
6.4) Select the appropriate computer tools, statistical and analytics packages, either open-source or commercial, suitable for diverse business analytics
6.5) Use and apply the acquired knowledge and skills to identify, model and solve decision problems, in new or unfamiliar situations, using data.