This Master in Data Science will grant you the necessary skills to enter or specialize in the field of Big Data and Analytics; from the acquisition and integration of data, to the productivization of mathematical models based on Artificial Intelligence and Machine Learning techniques.
The companies where our lecturers work
Data Scientists are in high demand
According to Indeed, available positions for Data Scientists have grown a whopping 253% from December 2013 and January 2019. The number of qualified candidates, however, has grown at a much slower pace due to the complex nature of this role: professionals must fluently combine knowledge related to software, statistics and mathematics and complement it with a business strategy perspective.
Having this context in mind, our Master in Data Science has been designed to enable students through a complete experience that has a practical approach through every phase of the data analysis process; from data acquisition and integration, to the productivity of mathematical models that are based on Artificial Intelligence and Machine Learning techniques.
This program is an intensive course that tackles 16 weeks of practical training and is based on best-in-class experiences of the Data Analysis industry, allowing students to gain a knowledge base which aligns with the competences that are needed in this market and further developing their professional career; whether that is to enhance their current skills, to change the path of their career, or to find new opportunities within the world of Big Data and Analytics.
Learning with Nuclio Digital School means breaking the traditional University model:
An intensive Bootcamp as a way to optimize your time and efforts. In a short period of time, you will learn exactly what you need to develop your professional skills and specialize in the digital sector.
Our Learning By Doing methodology guarantees that you will acquire the necessary skills to be employed in any of the professional paths that are outlined for this course.
Before the program even starts you will make sure your programming and statistical skills are primed and ready through this pre-course work from Datacamp.
Congratulations! You have officially begun your journey as a Data Scientist. You will learn the basics before delving into the world of data science.
- Data Strategy and Data Driven Companies.
- Artificial Intelligence, Machine Learning and Deep Learning.
- Data Architectures and Platforms.
By the end of this intense and very practical module you will become a whiz of Python and SQL, the two programming languages that are most used within Data Science.
You will learn to represent data trends, to select metrics for each particular business and to exploit data for decision-making purposes.
- Data Cleaning.
- Data Transformation.
- Data Visualization.
We have made it halfway through! This is the core of the program and what will be your own core skill as a modern-day Data Scientist. You will learn about the fundamentals of every predictive algorithm, all while working on a Machine Learning project based on the models seen in class.
- Supervised learning – Labeling.
- Supervised learning – Regression.
- Supervised learning – Time Series.
- Non-Supervised learning – Clustering and collaborative filtering.
- Reinforcement learning.
This is one of the most advanced areas within the world of AI. In this module, we will develop algorithms that simulate neural functioning and that will be able to recognise patterns in images, texts, and sounds.
- Computer Vision with CNN.
- Sentiment Analysis with RNN.
- Transfer Learning.
- Natural Language generation.
You will learn to use Flask in order to put your predictive models into practice.
- Machine Learning model productionization with Flask
Almost done! In this module you will delve into the world of Project Management within the context of Data Science, commercialization and any legal must-know when it comes to data exploitation.
- Data Science Project Management.
- Commercialization of Data Science projects.
- Scale model operations.
- Legal and ethical concerns within Data Science.
CAMPUS BARCELONA STAGE
July 19 – 23, 2021
Director of Data Science at Novartis
Felipe currently leads the Data Science and Artificial Intelligence strategy at Novartis, having previously held AI innovation leadership roles within companies such as Glovo, EY, Deloitte and Telefonica. He holds a Phd in Artificial Intelligence applied to image and video understanding (Computer Vision) as well as an M.S in Electrical Engineering. As a researcher, he was awarded with the CBMI 2008 Best Student Paper Award, the IEEE 125th Anniversary Student Award, and a Marie Curie grant to work as scientific researcher for the Medical Image Division of Siemens Healthcare in Erlangen, Germany, amongst others.
Pedro Costa del Amo
Senior Data Scientist at IQVIA
Pedro is currently working as a Senior Data Scientist in the healthcare sector, and has a PhD in Mathematical and Computational Modelling from Imperial College London. He has more than 8 years of experience in developing and leading end-to-end data science solutions across multiple industries (pharma, retail, travel, media, health, consumer goods, etc.), and his data science career has combined both academia and industry roles in top academic institutions, such as Imperial College London (UK) or the University of Bonn (Germany), and companies such as Accenture, Deloitte, or IQVIA.