Business School
Key Information about the Master in Data Analytics for Business in ISEG - Lisbon School of Economics and Management, Universidade de Lisboa
The Master in Data Analytics for Business at ISEG - Lisbon School of Economics and Management, Universidade de Lisboa is ranked 16th this year in the Master in master Data analytics. Programme Director(s): Professor Mário Caldeira - Full Professor.
The program is available in a part-time format
The total length of the program is 3 semestres
All courses are taught in English
Director's message
It’s your chance to start making an impact in the information age. ISEG’s Masters in Data Analytics is particularly relevant for quantitative methods enthusiasts since its main topics of interest are Data Science, Business Analytics and Information Systems.
The Masters in Data Analytics for Business is the ultimate course for decision-makers. Our advanced programme prepares its students for the new challenges associated with the reality of big data, business analytics, coding, data science, and machine learning.
All about this master
Programme Overview
The Master’s in Data Analytics for Business at ISEG prepares students with the advanced analytical skills and business acumen needed to excel in today’s data-driven world. This program combines rigorous training in data science, machine learning, and statistical methods with practical applications in business contexts.
Students will gain a deep understanding of how to extract insights from data, develop predictive models, and support strategic decision-making processes. With a strong focus on real-world challenges, the program prepares graduates to meet the growing demand for data analytics professionals across diverse industries.
Curriculum (courses, subject modules)
Year 1 – 1st Semester
- Business Intelligence and Decision Support
- Data Platforms for Analytics
- Decision Making and Optimization
- Enterprise Analytics
- Programming Foundations
- Statistical Methods and Visualization
Year 1 – 2nd Semester
- Advanced Statistical Methods
- Big Data Tools and Analytics
- Forecasting Methods
- Machine Learning and Data Mining
- Programming for Data Science
- Research & Development Seminars
Year 2 – 1st Semester
Masters Final Work – MFW
• Dissertation
• Project
• Internship
Admission conditions
Required diploma(s)
- Bachelor
Tuition & Fees
Between 6850 and 9850 €
Employment opportunities & career impact
Employment opportunities
This Master’s degree in Data Analytics for Business aims to prepare data scientists, managers, economists, statisticians, and information management professionals.
By the end of the master’s program, students will be well-prepared to take on roles such as Data Analyst, Business Analyst, or Data Scientist, contributing to innovation and efficiency in organizations worldwide.
Application Deadlines
Session 1
|
2nd December to 3rd February |
|
Until February 14th |
Session 2
|
4th February to 31st March |
|
Until April11th |
Session 3
|
1st Abril to 15th May |
|
Until May 30th |
Application deadline precision
Applications for Master's degrees are made exclusively online through the ISEG website, from December 2024 to May 2025.
Candidates for the Master in Data Analytics for Business:
- Students with a degree in Economics, Management, Finance, Mathematics, Statistics or Engineering. Degrees in other areas may be considered suitable.
- In accordance with Article 17 d) of Decree-Law No. 74/2006 of the 24th of March, altered and republished as Decree-Law No. 65/2018 of the 16th August, other applications considered to be appropriate by the selection panel will be evaluated on the basis of a curricular analysis.
- Those students who have not yet completed the 1st Study Cycle (Bachelors) are eligible to apply conditionally, provided that they satisfy the conditions for obtaining the degree by the end of September (of the same academic year as their application).
How to Apply?
Admission process
Application
|
December to May |
|
Application process entirely online |
Application Checklist
Academic documents required
- Undergraduate Diploma copy
- Language diploma
Academic documents other
- Academic Transcript
Administrative document require
- Photocopy of ID Card / Passport
Administrative document other
- Motivation letter required
