Specialized Master's
Artificial Intelligence, Big Data & Digital Enterprise
Big Data, Artificial Intelligence & Digital Enterprise
This programme, launched in 2018, is aimed at managers from various fields such as marketing, finance, logistics and human resources. It prepares them to support their organisations in integrating digital technologies such as Big Data, Artificial Intelligence, Agentic AI, Data Viz, Cloud Computing, Machine Learning, the Internet of Things, Blockchain, Social Networks, Recommendation Systems and Robotic Process Automation (RPA). Designed around a user-centric rather than technology-centric approach, this programme is particularly suited to business analysts and study officers involved in key sectors such as banking, insurance, retail, transport, logistics and healthcare.
Practical Information
2025–2026Course Content
The programme is built around specialised modules covering all aspects of the field.
Digital Transformation
- Components and structures of the digital enterprise
- Digital transformation strategy
- Agentic AI and process automation (RPA)
- Blockchain and IoT
- Impact of digital technology 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 algorithmics
- 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: Microsoft Azure ML, IBM Watson, 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
- Digital Marketing & Data-driven CRM
- Information Systems Project Management
- Synthesis cases by business function
Applied Professional Thesis
The participant conducts a research project addressing a business challenge connected to the Master's content. They demonstrate their ability to select and integrate the most appropriate technological solutions.
The professional thesis results in a dissertation and a viva voce before a jury of academic researchers and High Tech industry professionals.
Assessment Modalities & Admission
Assessment Modalities
Courses are validated by a minimum average of 12/20 per module. A mark below 8/20 in any subject requires a resit in the second session.
Assessment is based on continuous assessment, the final examination, attendance and participation. The programme concludes with the defence of the professional thesis.
Entry Requirements
Career Pathways
The programme prepares students for senior positions in the following careers:
Programme Structure
Teaching is delivered in person. These arrangements may change depending on current health guidelines.
Application File Review
Review of academic qualifications and professional background to verify entry requirements.
Written Test
A test to assess foundational knowledge in the field.
Interview with the Committee
Admission interview to assess the candidate's aptitudes and motivation.
Professional Thesis
Defence before a jury of academics and industry professionals.
Download the Programme Sheet
Big Data, Artificial Intelligence & Digital Enterprise Programme Sheet — ISCAE Casablanca
Contact Us
ISCAE — Casablanca
Km 9.5 route de Nouasseur, P.O. Box 8 114 Casablanca – Oasis
lkzaz@groupeiscae.ma
