Specialized Master's Degree (Year 2)
Come and discover our Master 2 where you can specialize in the branch you like!
Presentation & Objectives
Mastère 2 - Data Analyst IA
Our Master’s Degree in Data Analyst Artificial Intelligence is aimed at students with a passion for data analysis and artificial intelligence, who want to become experts in these rapidly growing fields. This program is designed for students with a Master’s degree or equivalent, wishing to specialize in advanced data analysis and the application of AI technologies in various sectors.
The objectives of this Master are ambitious: to train highly qualified professionals, able to process and interpret complex datasets with agility and precision. Students will gain a strong command of advanced data analysis techniques, Python and R programming tools, as well as machine learning and AI methods.
During this Masters, students will develop key skills to excel as an AI Data Analyst. They will learn how to explore and analyze big data, identify trends and hidden patterns, design predictive models and use machine learning algorithms to solve complex problems. In addition, they will learn data visualization skills to effectively communicate their findings and recommendations.
By joining this Specialized Master, students will be ready to meet the current and future challenges in the field of data analysis and AI. They will be able to apply their skills in diverse sectors such as marketing, finance, health, social sciences, and many more, helping to shape the future of these exciting and evolving fields.
Presentation & Objectives
Mastère 2 Data Scientist IA
Our Specialized Master’s in Data Science and Artificial Intelligence for Data Scientists is designed for students passionate about the fields of Data Science and Artificial Intelligence, aiming to become experts in the field. This program is intended for students holding a Bachelor’s degree (Bac+4) or equivalent, seeking to deepen their skills in advanced areas of statistical modeling, machine learning, deep learning, and natural language processing.
The primary goal of this Master’s program is to train highly qualified professionals capable of mastering advanced concepts in Data Science and AI, as well as the latest technologies and tools. Students will explore cutting-edge topics such as statistical models and Bayesian learning, advanced optimization, reinforcement learning, and much more. They will also develop advanced programming skills in R, essential for handling complex data and in-depth analysis.
Throughout this Master’s program, students will gain in-depth expertise in using supervised and unsupervised learning methods to solve complex problems. They will implement advanced neural networks and deep learning models for various applications. Additionally, they will become familiar with advanced natural language processing techniques, essential for developing conversational AI systems and innovative chatbots. They will also explore the field of computer vision to understand and analyze images and videos.
By joining this specialization in Data Science and Artificial Intelligence for Data Scientists, students will be well-prepared to tackle the challenges of the rapidly growing fields of Data Science and Artificial Intelligence. They will be able to provide innovative and creative solutions to complex business and organizational problems, thereby contributing to shaping the future of these ever-evolving domains. Their expertise in modeling, advanced analysis, and AI development will position them as key players in the industries of tomorrow.
Presentation & Objectives
Mastère 2 - Data Ingénierie & DevOps
Our Specialized Master’s in Data Engineering & DevOps is designed for students passionate about the technologies that manage and optimize data infrastructures. If you hold a Bachelor’s degree (Bac+4) or equivalent and aspire to become an expert in large-scale data engineering, then this program is tailored for you.
The main objective of this Master’s program is to train highly qualified professionals capable of designing, implementing, and optimizing complex distributed systems for processing large volumes of data. Students will delve deep into the architecture of distributed systems, becoming familiar with technologies such as Hadoop and Spark, which are essential for efficiently managing data at scale.
Throughout this specialization, students will gain expertise in managing distributed and NoSQL databases, as well as designing and optimizing data pipelines. They will also become proficient in using containers and orchestration with Docker and Kubernetes to ensure scalability and flexibility in systems.
In addition to developing skills in functional programming with Scala and real-time data streaming with Kafka and Flink, students will focus on real-time data management and IoT, both vital areas in today’s world of big data.
Data security and cryptography will also be at the core of the curriculum, enabling students to implement data protection strategies in distributed environments.
By joining this specialization in Data Engineering & DevOps, students will be prepared to tackle the technical and operational challenges of modern data infrastructures. They will play a key role in managing, optimizing, and securing distributed systems, thereby contributing to shaping the future of large-scale data management and DevOps technologies. Their technical expertise and ability to solve complex problems will position them as indispensable players in the data management and emerging technology industry.
Presentation & Objectives
Master 2 Engineer AI and Connected Objects
Discover Our Master’s Degree in Artificial Intelligence and Connected Objects – Harness the Full Potential of AI
Our specialized Master’s in Artificial Intelligence and Connected Objects is designed for those passionate about the convergence of Artificial Intelligence and the Internet of Things (IoT). If you hold a Bachelor’s degree or its equivalent and aspire to become an expert in Data Science, advanced statistical modeling, Deep Learning, and natural language processing, then this program is tailor-made for you.
Main Objective: Our primary goal is to train highly skilled professionals capable of mastering advanced concepts of Data Science and Artificial Intelligence as well as the latest technologies in this rapidly evolving field.
What You Will Learn: Throughout this Master’s program, you will delve into intricate subjects such as advanced statistical models, Bayesian learning, advanced optimization, Reinforcement Learning, and much more. You will also develop essential skills in advanced R programming, necessary for processing complex data and conducting in-depth analyses.
Expertise in AI: You will gain deep expertise in using supervised and unsupervised learning methods to solve complex problems. You’ll be able to implement neural networks and advanced Deep Learning models for diverse applications.
Conversational AI and Computer Vision: You will become familiar with advanced natural language processing techniques, a crucial element for creating cutting-edge conversational AI systems and innovative Chatbots. Furthermore, you will explore the field of computer vision to understand and analyze images and videos.
Ready for the Future: By joining this specialization, you will be prepared to face the challenges of the booming industry of Artificial Intelligence and the Internet of Things. You’ll be capable of offering innovative solutions to the complex problems faced by companies and organizations, thus helping to shape the future of these ever-evolving fields. Your expertise in modeling, advanced analysis, and AI development will make you a key player in the industry of tomorrow.
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Program
Data Scientist Section
Statistical Models and Bayesian Learning
Optimization and advanced operations research
Supervised and unsupervised advanced learning
Reinforcement Learning
Advanced deep learning and specific architectures
Advanced R programming for Data Science
NLP and advanced natural language processing
Creating Conversational AI
Computer Vision and Image Processing
Graduation Project – Data Scientist
Data Analyst Section
Advanced data analysis with Python and R
Spatial and geospatial data analysis
Social media analytics
Data Mining and Data Mining (20 hours)
Multidimensional Data Analysis
Advanced forecasting and modelling techniques
No-code Data Analysis with KNIME and Dataiku
Graduation Project – Data Analyst
Data Engineering & DevOps Section
Distributed Systems Architecture
Large scale data engineering
Management of distributed and NoSQL databases
Data pipeline design and optimization
Containers and orchestration with Docker and Kubernetes
Functional programming with Scala
Streaming data in real time
Real-time and IoT data management
Data security and cryptography
Optimization of performance and storage
Monitoring and management of resources in distributed systems
Graduation Project – Data Engineering
Artificial Intelligence and Connected Objects section
Basic Mathematics
Python and R programming
Machine Learning
Computer vision
Natural Language Processing
Deep Learning
Embedded Systems
Advanced AI
IoT and Security
Research project
Master’s project
The strengths of the Master 2 Data Science and Artificial Intelligence
Master Data Science and AI by Choosing Your Specialization!
📊 Data Analyst – AI: In-depth data analysis, data mining, advanced forecasting.
🧠 Data Scientist – AI: Expertise in statistical models, deep learning, conversational AI.
🚀 Data Engineering & DevOps: Data infrastructure management, Hadoop, Docker, data security.
💼 Expertise & Excellence: With our renowned professors, prepare to become an indispensable leader in these ever-evolving fields.
Ready for industry challenges? Join our Master 2 in Data Science and Artificial Intelligence today! Your future starts here.
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Master & Specialties
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Join us to shape the future!
Discover our exceptional programs in Data Science and Artificial Intelligence and prepare for a promising career in the digital age.
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21 Avenue du Président Wilson
75116 Paris - 09 55 72 42 89
- contact@ai2-education.com
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