Extended Diploma in Applied Data Science and AI
- Home
- Extended Diploma in Applied Data Science and AI
Awarded by
Euclea Business School, France
Study mode
Hybrid
Credits
60 ECTS
Course Duration
11 Months
Extended Diploma in Applied Data Science and AI
This cutting-edge programme is designed to equip learners with the highly sought-after skills in data science and artificial intelligence. The curriculum provides a deep dive into machine learning, big data technologies, and AI systems, preparing graduates to solve complex business problems by leveraging data.
Key Learning Outcomes
Graduates will be able to build and deploy machine learning models, manage and analyze large datasets, develop AI-powered applications, and effectively communicate data-driven insights to stakeholders.
- Career Pathways : This qualification opens up high-demand career paths such as Data Scientist, Machine Learning Engineer, AI Specialist, Data Analyst, and Business Intelligence Developer.
Extended Diploma in Applied Data Science and AI
Overview : This cutting-edge programme is designed to equip learners with the highly sought-after skills in data science and artificial intelligence. The curriculum provides a deep dive into machine learning, big data technologies, and AI systems, preparing graduates to solve complex business problems by leveraging data.
Key Learning Outcomes : Graduates will be able to build and deploy machine learning models, manage and analyze large datasets, develop AI-powered applications, and effectively communicate data-driven insights to stakeholders.
Area of Learning :
The curriculum provides a blend of strategic management and advanced data analytics skills. Learners develop expertise in strategic human resource management, equipping them to lead and manage organisational talent effectively. Crisis communication skills are emphasised to handle critical situations confidently. The programme also covers big data and data analytics, machine learning, neural networks, deep learning, and natural language processing, providing learners with advanced technical knowledge and practical skills to analyse complex data, develop intelligent systems, and apply AI solutions in modern business environments.
Career Pathways : This qualification opens up high-demand career paths such as Data Scientist, Machine Learning Engineer, AI Specialist, Data Analyst, and Business Intelligence Developer.
- Entry Requirements : A-level or High School Certificate.
Modules
Principles of Data Science and Analytics
Establishes a strong foundation in the data science lifecycle, from data collection and cleaning to analysis and interpretation.
Machine Learning Algorithms
Covers a range of supervised and unsupervised machine learning techniques and their practical applications.
Big Data Technologies and Architecture
Introduces tools and platforms for storing, processing, and analyzing massive datasets, such as Hadoop and Spark.
AI Systems and Smart Computing
Explores the principles of artificial intelligence and the development of intelligent systems and applications.
Data Visualization and Storytelling
Focuses on the techniques for creating compelling visualizations and narratives to communicate complex data insights effectively.
Ethics and Governance in AI
Examines the ethical implications and governance frameworks required for the responsible development and deployment of AI.
