Master's Degree in Data Science and Advanced Analytics, with a Specialization in Business Analytics
Lisbon, Portugal
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Request the earliest start date
TUITION FEES
EUR 6,200 / per course *
STUDY FORMAT
On-Campus
* The tuition fee is €8,000 for applicants with a nationality from a non-European Union member country.
Introduction
The Master's degree Program in Data Science and Advanced Analytics, with a specialization in Business Analytics, is aimed at market-oriented people, who want to apply effective analytical models to different business problems, interpret the results and their implications for the business, take data-driven decisions to optimize the business process.
In every academic year, the partners offer a paid internship to the 1st year students, to be undertaken during the 2nd year. 1st year students should apply to the internship(s) they are interested in. The internship will be assigned to the student gathering the best qualification in the application.
Ranked as the best Master's program in Data Analytics in the Western Europe by Eduniversal, an international agency that publishes an annual ranking of the best MBA and Master degree programs in the world.
Applications Phase
A new application phase for NOVA IMS' postgraduate and master's programs is open from March 10th to April 10th. The vacancies for this specialization have already been filled, but you can check the remaining available programs here.
Gallery
Rankings
Ranked as the best Master's program in Data Analytics in the Western Europe by Eduniversal, an international agency that publishes an annual ranking of the best MBA and Master degree programs in the world.
Program Outcome
Goals
This program will provide a set of interdisciplinary skills and tools such as:
- Understanding of the main paradigms associated with large databases and data warehouses
- Understanding the processes of decision-making
- Mastering data mining tools, in particular for "Big Data" related problems
- Mastering the processes of creation and maintenance of descriptive and predictive models
- Recognizing and applying the most effective analytical models to different business cases
- Interpreting models and their implications for business.
Curriculum
This program lasts 4 semesters: 3 correspond to the curricular component and 1 to the development of a thesis or work project, in a total of 120 ECTS.
Mandatory course units
- Business Cases with Data Science
- Business Intelligence
- Business Process Management
- Data Mining
- Digital Transformation
- Dissertation/ Work Project/ Internship Report
- Machine Learning
- Programming for Data Science
- Research Methods
- Statistics for Data Science
- Storing and Retrieving Data