What you will learn

The program offers a comprehensive curriculum covering key areas in data science and artificial intelligence (AI). Participants will gain expertise in data analysis, machine learning, computer vision, natural language processing, and big data technologies. This knowledge empowers them to address data-related challenges, make data-driven decisions, and implement practical solutions in real-world applications

Program content 

Data Science and Analysis

• This course provides a comprehensive introduction to data science and analysis techniques. Participants will learn the fundamental concepts and methods used in data analysis, data visualization, and statistical modeling. The course focuses on practical experience with realworld data sets and the use of popular data tools and libraries. By the end of this course, participants will be able to address data-related challenges, contribute to data-driven strategies, and effectively communicate complex findings to both technical and non-technical stakeholders.

Applied Machine Learning

• Machine Learning has revolutionized various industries by enabling computers to learn patterns and make predictions or decisions from data. This course on Applied Machine Learning aims to provide participants with a comprehensive understanding of machine learning algorithms, techniques, and their practical applications. The course will cover both supervised and unsupervised learning, as well as delve into advanced topics such as neural networks and deep learning. Participants will gain hands-on experience by working with popular machine learning libraries and implementing models using Python.

Image Analysis and Computer Vision

• This course is an introduction to the areas of Artificial Intelligence that deal with fundamental issues and techniques of computer vision and image processing. The focus is on the fundamental concepts and methods used in image processing, feature extraction, object detection, and image recognition. The course emphasizes practical implementation, algorithm implementation, and realworld applications of computer vision.

Natural Language Processing and Language Modeling

• This course explores the major challenges of working with written language data, basic techniques used in natural language processing, and basic applications of NLP technology. This course constitutes a thorough introduction to the Large Language Model technology, tracing the historical threads in computational linguistics and language modeling that led to it, and exploring the design patterns that underpin its application in modern AI systems. Through this course, particular interest will be given to NLP case studies by exploring applications such as : Machine translation, Text summarization, Chatbots and Sentiment analysis. 

Big Data Systems and Technologies

• This course provides an in-depth overview of Big Data systems and technologies. Participants will learn more about the basic concepts, architectures and technologies used in handling and managing big data. The course focuses on how to apply technologies such as Hadoop, MongoDB and various NoSQL databases to build simple, robust and efficient systems for handling and analyzing big data. The aim is to guide the participants through the principles of big data systems and how to operate them once they are deployed.

Summary 

The executive Master on Applied Data Science and Artificial Intelligence aims to provide executives and professionals with a comprehensive understanding of data science and artificial intelligence (AI) concepts, techniques, and tools. Participants will acquire the necessary technical skills to work with data, analyze it, and leverage AI technologies effectively. The program seeks to enable participants to apply data science and AI methodologies to make data-driven decisions in various business contexts. Executives will learn how to use data analysis techniques to extract insights, predict trends, optimize processes, and solve complex problems. They will be encouraged to explore emerging technologies, identify new business opportunities, and develop strategies for innovation.

Description 

"The Executive Master on Applied Data Science and Artificial Intelligence is designed to equip executives and professionals with a comprehensive understanding of data science and artificial intelligence (AI) principles, methodologies, and tools. This program empowers participants with the technical skills required to effectively work with data, analyze it, and harness AI technologies for business advantage. In essence, this program aims to enable participants to leverage data science and AI methodologies to make informed, data-driven decisions across diverse business landscapes. Executives will learn how to proficiently utilize data analysis techniques to uncover valuable insights, forecast trends, enhance operational processes, and tackle intricate business challenges. Furthermore, the program fosters an environment of exploration, encouraging participants to delve into emerging technologies, identify novel business prospects, and cultivate innovative strategies for organizational growth."

Key Benefits 

This program equips executives and professionals with the technical skills and knowledge needed to apply data science and AI methodologies to make data-driven decisions in various business contexts. This means that participants can leverage data analysis techniques to extract insights, predict trends, optimize processes, and solve complex problems within their organizations. In essence, the program empowers them to harness the power of data and AI for informed decision-making and improved business outcomes.

Who Should Attend?

A bachelor’s or a master’s degree in engineering, mathematics, or science and have a minimum experience that includes the equivalent of a Computer Science or Computer Engineering minor.