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专业 数据与人工智能

数据与人工智能:全英语授课的“数据与人工智能”专业旨在准备未来工程师识别与大数据利用相关的业务需求和问题,构建分析工具收集结构化或非结构化数据,组织并总结数据源以形成可用于模型化和预测新行为或用途的结果,同时融入与个人数据使用相关的法律规定。

介绍

近年来,数字数据的产量以指数级增长,数据被誉为21世纪的黑金。与人工智能相结合,它正在革新健康、商业、城市规划、安全等多个领域。数据与人工智能专业培养的工程师将协助企业进行数据驱动的转型,提供必要的技能来利用这些大数据,以改善决策策略和管理效率,并预测未来趋势。该专业特别侧重于数学、人工智能、尤其是机器学习和深度学习的教学,同时也关注现行的法规和伦理道德。

培训计划

FUNDAMENTALS
Plus de détails

Machine Learning
Applied Statistics
Distributed Algorithms
Convex Optimisation
Functional Data Programming
Advanced Machine Learning and Text Mining

PROFESSIONAL TRAINING
Plus de détails

Technical internship, 4.5 months starting mid-April (M1)

APPLICATIONS
Plus de détails

Data structuring and NoSQL databases
Hadoop stack – Hive
Introduction to Cyber security
Data Visualisation and Applications
Applications of Big Data for IoT

INNOVATIVE PROJECTS IN M1
Plus de détails

Methodology and technical monitoring
Business Plan
Coaching: Support for teams
Competition with a jury of professionals

FUNDAMENTALS
Plus de détails

Machine Learning
Applied Statistics
Distributed Algorithms
Convex Optimisation
Functional Data Programming
Advanced Machine Learning and Text Mining

APPLICATIONS
Plus de détails

Data structuring and NoSQL databases
Hadoop stack – Hive
Introduction to Cyber security
Data Visualisation and Applications
Applications of Big Data for IoT

INNOVATIVE PROJECTS IN M1
Plus de détails

Methodology and technical monitoring
Business Plan
Coaching: Support for teams
Competition with a jury of professionals

PROFESSIONAL TRAINING
Plus de détails

Technical internship, 4.5 months starting mid-April (M1)

FUNDAMENTALS
Plus de détails

Statistics and Machine learning
Artificial Intelligence
Python, R and Scala programming
Data wrangling
Use case modelling

PROFESSIONAL TRAINING
Plus de détails

6-month Engineer Internship (end of studies) starting mid-February

SCIENCE ELECTIVE COURSE
Plus de détails

Artificial Intelligence, Deep Learning and Applications
Blockchain: Challenges and Opportunities
Big Data for Companies
Creativity and Entrepreneurship
Design et conception
Internet of Things
Health Innovation
Security Management
Web et 3D
Analysis, software vulnerability
Security Seminar

END OF STUDIES PROJECT (M2)
Plus de détails

Old Technology
Management and technical skills
Fundraising
Pilot an R&D Project to define the phases and recrutement for your teams 

FUNDAMENTALS
Plus de détails

Statistics and Machine learning
Artificial Intelligence
Python, R and Scala programming
Data wrangling
Use case modelling

SCIENCE ELECTIVE COURSE
Plus de détails

Artificial Intelligence, Deep Learning and Applications
Blockchain: Challenges and Opportunities
Big Data for Companies
Creativity and Entrepreneurship
Design et conception
Internet of Things
Health Innovation
Security Management
Web et 3D
Analysis, software vulnerability
Security Seminar

END OF STUDIES PROJECT (M2)
Plus de détails

Old Technology
Management and technical skills
Fundraising
Pilot an R&D Project to define the phases and recrutement for your teams 

PROFESSIONAL TRAINING
Plus de détails

6-month Engineer Internship (end of studies) starting mid-February

学期计划

M1硕士一年: 5个月的公司实习或者合作大学的实验室或研究室实习
M2 硕士二年级: 6个月的公司实习
在M2硕士第二年,可以选择学徒制(上学期每周2天在校学习,3天在公司工作,下学期改为全日制公司工作)

就业方向

  • 数据科学家
  • 机器学习专家
  • 计算机视觉工程师
  • 数据分析师
  • 首席分析官