Specialized Master's
Artificial Intelligence, Big Data and Digital Enterprise
Big Data, Artificial Intelligence & Digital Enterprise
This programme, launched in 2018, is designed for managers across various fields including marketing, finance, logistics, and human resources. It aims to equip them to guide their organisations in integrating digital technologies such as Big Data, Artificial Intelligence, Agentic AI, Data Visualisation, Cloud Computing, Machine Learning, the Internet of Things, Blockchain, Social Networks, Recommendation Systems, and Robotic Process Automation (RPA). Built around a user-centric rather than technology-centric approach, this programme is particularly suited to business analysts and research officers working in key sectors such as banking, insurance, retail, transport, logistics, and healthcare.
Practical Information
2025–2026Programme Content
The programme is structured around specialised modules covering all facets of the field.
Digital Transformation
- Components and structures of the digital enterprise
- Digital transformation strategy
- Agentic AI and process automation (RPA)
- Blockchain and IoT
- Digital impact on business functions
Analytics & Data Science
- Applied probability and statistics
- Data visualisation (Data Viz)
- Predictive analysis and modelling
- Recommendation systems
- Digital enterprise dashboards
Computer Science & Programming
- Python algorithms
- R programming
- SQL databases
- Big Data systems: concepts and practice (NoSQL, Hadoop)
- Business Intelligence chain activities and tools (ETL)
Artificial Intelligence
- Machine Learning: concepts and practice
- AI platforms: Azure ML Microsoft, Watson IBM, Scikit-learn, Google Analytics
- Deep Learning and neural networks
- Generative AI and LLMs
- AI applications by business function (Finance, Marketing, HR, Logistics)
Business Intelligence
- Business Intelligence and Business Process
- Big Data Management
- Data-driven Digital Marketing & CRM
- IS Project Management
- Synthesis case studies by business function
Applied professional thesis
Participants carry out a research project addressing a business problem related to the master's programme content. They demonstrate their ability to select and integrate the most appropriate technological solutions.
The professional thesis results in a written dissertation and a defence before a panel of academics and High Tech industry professionals.
Assessment Methods & Admission
Assessment Methods
Modules are validated by a minimum average of 12/20 per module. A grade below 8/20 in any subject requires a resit in the second session.
Assessment is based on continuous evaluation, the final examination, attendance, and participation. The programme concludes with the defence of the professional thesis.
Entry Requirements
Target Professions
The programme prepares graduates for senior positions in the following fields:
Programme Structure
Teaching is delivered in person. These arrangements may be subject to change in accordance with prevailing health and safety guidelines.
File-based selection
Review of qualifications and professional background to verify eligibility requirements.
Written examination
Test designed to assess fundamental knowledge in the field.
Interview with the Committee
Admission interview to assess the candidate's aptitudes and motivation.
Professional thesis
Defence before a panel of academics and industry professionals.
Download the programme sheet
Big Data, Artificial Intelligence & Digital Enterprise — ISCAE Casablanca
Get in Touch
ISCAE — Casablanca
Km 9.5 route de Nouasseur, B.P 8 114 Casablanca – Oasis
