No. There is no fee for the submission of an application. You will only be asked to pay a registration fee to secure your place in the programme after being admitted to the Postgraduate or MBA programmes.
Develop skills to solve complex problems and maximise organisational value through AI and ML.
Understand where and how to use the main Machine Learning algorithms in your organisation.
Analyse and prepare data for Machine Learning projects.
Learn the key Python programming concepts.
Understand and solve regression and classification problems.
Learn about the main supervised and unsupervised algorithms in Machine Learning.
Predict time series data with trend, seasonality, and other characteristic movements.
Build and train neural networks for image and natural language processing.
Use deep learning algorithms for computer vision and pattern recognition;
Learn to develop an end-to-end Machine Learning project.
Implement a machine learning model in a business environment.
Data analysts
Data scientists
Business analysts
HR analysts
Marketing analysts
Product analysts
Forecast analysts
IT analysts
Machine learning scientists
Professionals and researchers who working, or are planning to work in business analytics and artificial intelligence projects
The objective of the Postgraduation is to promote understanding of the theory and practice of Machine Learning as a solution for the new challenges of business transformation. Accordingly, the partnership with Amazon Web Services is key, as it provides access to their technological infrastructure, which thus enables participants to develop throughout the programme an end-to-end Machine Learning project which can be applied in a business context.
This amount includes:
No. There is no fee for the submission of an application. You will only be asked to pay a registration fee to secure your place in the programme after being admitted to the Postgraduate or MBA programmes.
Attendance is not controlled for the Postgraduate Programmes. However participants are obliged to attend at least 80% of lectures of the Executive Programmes.
There are various discounts: alumni discounts, discounts for professionals covered by agreements established between ISEG Executive Education and their Employer, prompt payment discounts, and discounts contemplated in our sales policy. For further information, you should contact the Programme Advisor of the respective programme. Discounts cannot be accumulated, with the exception of prompt payment discounts.
ISEG is located in Lisbon, next to the Assembly of the Republic parliament building. It is accessible by the following public transport: Metro (Underground) - Yellow line to Rato station Buses 727 and 706; Train – get off at Santos station; and, finally, Tram No. 18. If you come by car, you can park in ISEG’s on-campus car park.
Assessments are made through individual written assessment, project and/or group work.
Applications should be submitted by filling in the online form on the respective page of each programme. The following documents are required: an updated CV and/or link to the applicant’s Linkedin page. On average the decision of the coordination team takes 8 to 15 working days after the submission of the complete documentation.
Yes, participants may use the library as well as the ISEG's Computer Room for that purpose.
ISEG Executive Education is a training entity certified by DGERT, being the courses exempt of VAT and eligible as education expenses, if you enroll individually, and counting as training hours, if you enroll through your company, under the article 78.º-D, of the CIRS Code.
Contact our Programme Advisor for further information and advice.
