Paris Technoscience Institute offers the Master in Artificial Intelligence for Business, connecting artificial intelligence with business analytics, marketing, organisational processes and decision-making. The two-year programme is taught in English, with separate online and Paris campus versions.
For applicants exploring master artificial intelligence in business, the focus is on understanding organisational needs, using data and AI methods to develop applications, and evaluating practical results. Python, statistics, machine learning and business intelligence are connected to the analysis and implementation of business projects.
Master Artificial Intelligence in Business: Skills and programme focus
Applying AI in an organisation requires an understanding of both technical methods and business objectives. How can data support a decision? How can an organisation analyse customer and marketing performance, improve a workflow through automation, or assess whether an AI project has achieved its intended results?
The Artificial Intelligence for Business programme at Paris Technoscience Institute addresses these questions through data processing, analytical foundations and practical applications. Students learn to connect their choice of methods with business requirements, investment and outcomes.
Privacy, information security, bias and governance are also part of the programme, helping students consider the responsibilities and practical conditions involved in organisational AI adoption.
Master Artificial Intelligence in Business: Year 1 course content
The first academic year establishes foundations in AI and business analytics, bringing together programming, statistics, machine learning and enterprise data.
- Python and business data processing: prepare, process, analyse and present organisational data for business analysis and AI applications.
- Statistics and business decisions: study distributions, relationships, forecasting and the limitations of analytical findings.
- Machine learning foundations: learn regression, classification, clustering and model evaluation, considering which methods suit a defined problem.
- Business intelligence and data visualisation: work with metrics, analytical reports and decision dashboards to communicate data findings.
- Enterprise data management: examine data quality, data flows and business systems, connecting organisational data with AI projects.
- Responsible AI: consider privacy, bias, information security and organisational governance.
Master Artificial Intelligence in Business: Applications and graduation project
Building on these foundations, the programme focuses on business applications, including analytics, marketing, customer service, process automation and AI implementation.
Learning starts with the business problem: what the organisation wants to improve, which analyses its data can support, which tools and methods are appropriate, and how investment and results can be evaluated.
In business analytics, students consider the relationship between metrics and data and explain what findings mean for decisions. Marketing and customer-service applications connect AI methods with specific needs. Process automation requires an understanding of workflow steps, data flows and application outcomes.
The graduation project brings the learning together. Students address a defined problem and explain its business objectives, their data and method choices, implementation and evaluation. Their project outputs demonstrate their analytical and practical capabilities.
Master Artificial Intelligence in Business: Online and Paris campus study
Paris Technoscience Institute offers separate online and Paris campus versions, allowing applicants to select the route that matches their study arrangements.
Online study is organised through Moodle, with learning materials, assignments and project activities. Students follow the programme’s teaching and assessment arrangements over two academic years.
Paris campus study combines in-person learning, analytical methods and applied projects. Applicants can review the teaching information on the campus programme page and select that version when applying.
Both versions are taught in English and run for two academic years.
Master Artificial Intelligence in Business: Annual and total tuition fees
| Study format | Duration | Annual tuition | Total tuition |
|---|---|---|---|
| Online | Two years | €4,900 | €9,800 |
| Paris campus | Two years | €8,900 | €17,800 |
Applicants can compare the teaching arrangements, their available time and their study budget. Those planning to study in Paris should also budget separately for accommodation, transport and everyday living costs.
The application form is used to submit information and supporting documents; it does not take a tuition payment.
Master Artificial Intelligence in Business: 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).
Master Artificial Intelligence in Business: Career pathways
The programme develops knowledge and practical skills relevant to organisational AI applications, data analysis and digital transformation, including:
- Business data analysis: process organisational data and use metrics, reports and visualisation to support business decisions.
- Business intelligence: connect analytical work with business needs through reports and decision dashboards.
- AI project implementation: help define business problems, compare technical approaches and assess application results.
- Marketing and customer analytics: use data and AI methods to examine marketing performance and customer-related questions.
- Business process automation: analyse workflows and contribute to the design, implementation and evaluation of automation applications.
- Digital transformation: connect technical tools, business requirements and organisational processes in practical projects.
The graduation project allows students to demonstrate how they understand a business need, use data, select methods and explain results. Reports, analytical outputs and application demonstrations can also form part of a portfolio of their learning and practical work.
Master Artificial Intelligence in Business: Applications and start date
The confirmed spring intake arrangements for the online Artificial Intelligence for Business programme are:
Application deadline: 20 December 2026
Classes start: 2 January 2027
First academic year: January–December 2027.
Programme duration: two academic years.
Admissions confirms Paris campus start arrangements for the relevant programme and intake.
Complete the online application form, select Artificial Intelligence for Business and the appropriate study format, and provide your personal information, previous education, relevant experience and motivation. Upload your CV and relevant academic documents. Admissions reviews the application and communicates the next steps.