TWO-YEAR MSc · PARIS CAMPUS · ENGLISH
Master in Artificial Intelligence for Business
Artificial intelligence is changing how organisations analyse data, serve customers and organise their operations. This programme combines AI methods with management, marketing, operations and business decision-making. Learn to identify business needs, develop applications and evaluate their results.
Artificial Intelligence for Business: Course Content
Examine the business problem before choosing the technology: what needs to change, what the available data can support, which tools are suitable, and how to measure investment and results.
Year 1 — AI and business analytics foundations
- Python and business data processing: prepare, analyse and present organisational data.
- Statistics and business decisions: distributions, relationships, forecasting and the limits of analytical findings.
- Machine learning foundations: regression, classification, clustering and model evaluation for business applications.
- Business intelligence and data visualisation: metrics, analytical reports and decision dashboards.
- Enterprise data management: data quality, data flows and business systems.
- Responsible AI: privacy, bias, information security and organisational governance.
Year 2 — Enterprise applications and graduation project
- Generative AI and enterprise knowledge assistants: large language models, prompt design, retrieval-augmented generation and knowledge bases.
- AI for marketing: customer segmentation, behaviour analysis, marketing content and campaign evaluation.
- AI for operations: demand forecasting, resource allocation, process automation and customer service.
- AI strategy and digital transformation: application opportunities, implementation roadmaps, costs, benefits and organisational change.
- AI project management and evaluation: business requirements, prototyping, testing and outcome assessment.
- Graduation project: technical and business report, application prototype and project presentation.
The programme covers programming, data analysis and machine learning foundations shared across AI subjects, while its specialist applications and graduation project focus on business needs.
Artificial Intelligence for Business: Practical Projects
Projects can include sales or demand forecasting, customer segmentation, an internal document-search and question-answering assistant, customer-service automation, or an evaluation of an AI application's costs, results and implementation risks.
Each project report explains the business objective, data sources, choice of methods, test results and limitations in practical use.
Artificial Intelligence for Business: Duration and Tuition Fees
Duration: two academic years. Teaching format: On campus in Paris. Teaching language: English.
Campus location: 1 Place de la Pyramide, 92800 Puteaux, France.
- First academic year: €8,900
- Second academic year: €8,900
- Total tuition for two years: €17,800
Diploma awarded
After successful completion of the coursework, assessments and graduation project requirements, Paris Technoscience Institute awards the MSc in Artificial Intelligence for Business (diplôme d’établissement).
Artificial Intelligence for Business: Career Pathways
Develop skills relevant to business data analysis, business intelligence, AI project coordination, digital transformation, marketing analytics and business-process automation. Build a portfolio of analytical reports, application prototypes and a graduation project that demonstrates how you translate business needs into AI solutions. Students with professional experience can focus their projects on practical problems in their industry.
Artificial Intelligence for Business: How to Apply
Submit your application with a CV and academic documents. Describe your previous studies, work experience and the business problems you would like to address using artificial intelligence.
Apply for campus study →