Masters in Data Analytics for Business
Lisbon, Portugal
DURATION
3 Semesters
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
03 Feb 2025
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 9,850 / per year *
STUDY FORMAT
On-Campus
* students from the EU: 6850€; from outside the EU: 8150€
Introduction
Covid-19
ISEG Lisbon is taking all measures with the health and safety of our community as a top priority. Since March we're operating 100% online, engaging virtually and using online tools for learning and evaluation.
Why Masters in Data Analytics for Business @ ISEG Lisbon?
- High demand for professionals skilled in data science applied to business.
- Highly qualified faculty in Management (Information Systems) and in Mathematics (Data Science), with PhDs from reputed international schools (for example, University of Delaware, University of Cranfield, University of Wisconsin, University of Heriot-Watt), and extensive professional experience in the industry.
- Highly reputed school for Data Analytics for Business: ISEG Lisbon hosts the bachelor’s degree in Portugal (MAEG – Mathematics Applied to Economics & Management) with the highest entry grade requirements in the fields of Mathematics, Economics, and Management. Our Master's program comes as an extension of the bachelors and shares the same culture of excellence.
- A one-year full-time program (plus one semester for the master’s project, dissertation, or internship) preparing students to stand out in a competitive marketplace.
- Prepares students to understand big data (including coding and machine learning) in organizations that deal with digital transformation.
- It provides students with the mindset for an international career.
Curriculum
Operational Regime
The master's study program is spread across 3 semesters, with a total of 90 ECTS, of which 30 ECTS correspond to a final work (dissertation, project or internship report).
All the course units will be taught in English.
Gallery
Program Outcome
Objectives
The general objectives of the master's degree in Data Analytics for Business are as follows:
- To train professionals with skills in using advanced quantitative decision-making methods in business based on data science, information collection, processing, and analysis.
- To develop a critical sense and research skills in the area of business data analysis.
- To prepare students for integration into the job market, through contacts with industry professionals, by conducting internships and business projects, and presenting applied research projects.
- To develop an environment of cultural exchange by incorporating students from different nationalities, as a result, the fact that the master's degree is fully taught in English.
- To prepare professionals who are comfortable with machine learning and using big data.
- To train professionals to define and implement digital transformation processes in organizations.
Ideal Students
Designed For
Academic background with a solid background in quantitative methods.
This requirement usually implies that candidates hold higher education equivalent to the 1st degree, national or foreign, in the areas of Economics, Management, Finance, Mathematics Applied to Economics and Management, Mathematics, Statistics, Information Systems, or Engineering. Applicants with other degrees are considered on a case-by-case basis.
Career Opportunities
Employment
This Masters Degree in Data Analytics for Business aims to train managers, economists, and statistics and information management professionals with analytical skills to harness the existing data availability potential, ability to process and integrate data from different formats and sources.
This master's degree enables the application of the highly qualified skills available at ISEG in the scientific areas of “Information Systems and Operations Management”, “Statistics and Actuarial Science”, “Operational Research”, and “Econometrics ”. Graduates from this program should become competent professionals in business information analysis and management, indispensable to today's business reality.
Program Tuition Fee
Accreditations
Program Admission Requirements
Show your commitment and readiness for Grad school by taking the GRE - the most broadly accepted exam for graduate programs internationally.