Biochemistry and Molecular Biology I, Biochemistry and Molecular Biology II, Biostatistics and R I, Biostatistics and R II, Bioinformatics, Internship, Dissertation.

Algorithms and Data Structures (Java), Computer & Mobile Networks, Research Methods, Applied Artificial Intelligence (Python), Advanced Programming (Java and Python), Artificial Intelligence and Machine Learning (Java), Software Engineering, Big Data Analytics, Computer Architecture and Operating Systems, Research Proposal and Dissertation.

Comprised of Data Science for Engineering and a set of advanced courses (listed separately) in Deep Learning, Time Series, Unsupervised Analysis plus .

Data Management and Processing (Java), Database Systems (SQL, NoSQL), Business Intelligence and Reporting for Enterprises (PowerBI), Data Wrangling (Python), Data-Driven Decision Making, Information Systems Engineering (C#), Master's Dissertation.

Application of Supervied and Unsupervised Machine Learning algorithms to Environmental Micropaleontology for Oil and Natural Gas Prospection applications.

Deep Learning (DL), Regularization in deep neural networks, Optimization, Training of neural networks, Convolutional Neural Networks, CNN applications, Sequence Modeling, Recurrent Neural Networks, Generative models, Explainability.

Characterize time series, recognizing the most common temporal distortions and managing to deal with them; Apply transformations in the same space, and for different spaces; Develop classical forecasting models based on specialized neural networks and evaluate the discovered information.

Database Administrator Module/ Data Engineering Module/ Azure Data Scientist Module. Transact SQL, SQL Databases, Microsoft Azure, Data Warehouses; Big Data Management, Power BI.

(Theoretical courses)

Introduction to Learning Descriptive Models, Clustering: Methods and Evaluation, Clustering: Advanced Principles, Data Transformations, Pattern Discovery, Biclustering, Advanced Pattern Discovery, Anomaly Detection, Explainability.

General: Marketing, HR, Managerial Economics, Project Management, Supply Chain, Entrepreneurship, Business Planning and Strategy, Digital Marketing, Fundamentals of Data Science and Analytics, Digital Business Tech and Big Data, Data Mining, Deep Learning, Statistics, Data Management and Visualization, Data-Driven Business Strategy, Customer Analytics & Customer Insights Management, Business Process Analysis & Data Modeling, Decision Making & Modeling.

Data Science Toolkit: Blockchain, Technology for Data Certification, Data Lake and Data Warehouse, R, SQL, Microsoft SQL Server 2016, Probability, Inference and Modeling, Wrangling, Linear Regression, Big Data & Machine Learning, Productivity Tools, Python and Jupyter, Intellectual Property, Privacy, Data Security & Quality, Tensorflow, Microsoft Power BI Desktop, Tableau
Capstone Project (with BNL - BNP Paribas Group).

Fundamentals of Advanced Data Analytics and use case presentation, Dealing with complex issues in linking to sources and building the data model, Advanced Calculations with DAX, Other Advanced Calculations & Storytelling, Introduction to using Algorithms, Use of Algorithms in the Data Analytics model – Predictive Analysis, Use of Algorithms in the Data Analytics model – Classification Algorithms and Decision Trees, Use of Machine Learning in Data Analytics, Use of Natural Language Processing (NLP) in Data Analytics.

Introduction to Business Intelligence and Advanced Data Analytics, Fundamentals of Designing Data Models for Business Analytics, Simple Imports and Transformations, ETL: Importing, Transforming, and Loading Data from Different Sources, Calculations with DAX, Calculations with DAX for Time Intelligence, Advanced Data Analysis and Visualization, Security / Privacy, Updates, Advanced Data Analytics.

Optional courses were taken both in the Applied Geology and Resources specializations. Final Project about the valorization of Portuguese geopatrimony in the framework of UNESCO Global Geoparks.

Optional courses were taken both in the Applied Geology and Resources specializations. Final Project about the valorization of Portuguese geopatrimony in the framework of UNESCO Global Geoparks.

Theoretical courses were taken but Dissertation was not done because of progression towards a post-doc in the area.

Theoretical courses were taken but Dissertation was not done because of progression towards a post-doc in the area.

Specialization in Developmental and Evolutionary Biology.

Final project in Pharmaceutical Marketing Management.

Final project in Medical Communication and Pharmaceutical Product Management.

12 Months Internship at the National Association of Army Volunteers (ANCE).

Level 3 Certification. 12 Months Internship at the Aldeia de Santa Isabel (ASI-SCML).