BSc Data Analytics & Applied AI (Industry 4.0)
Connect industrial equipment and transform production data into supervision dashboards, alerts and AI predictions. The programme focuses on industry, energy and logistics.
Programme overview
Connect industrial equipment and turn production and operations data into dashboards, supervision systems, alerts and AI predictions. This pathway focuses on computing for industry, energy and logistics.
| At a glance | Programme information |
|---|---|
| Teaching language | 100% English |
| Campus | Paris region, France |
| Study route | One year · final Bachelor year (top-up), including a mandatory company placement |
| Professional qualification | RNCP41370 · Level 6 / EQF 6 |
| Learning format | Taught phase on campus followed by the company placement |
Programme awards and certification
The AI2 programme diploma and the French RNCP professional title are distinct awards. The programme prepares for the title below. Award of the professional title requires validation of all required competency blocks and compliance with the certification’s assessment and eligibility rules.
| Professional title | RNCP reference | Qualification level | Certifying body |
|---|---|---|---|
| Développeur intégrateur en informatique industrielle | RNCP41370 | Level 6 / EQF 6 | French Ministry of Labour |
Career directions
The programme develops skills relevant to the following professional roles:
- Industrial data analyst
- Industrial IT engineer
- IIoT and SCADA integrator
- Operations analytics specialist
Academic progression
Graduates can apply to the shared MSc Year 1, including progression towards Applied AI & IoT or Applied AI & Cybersecurity. Progression towards Data Science is considered on application review.
Discuss your study plans
Our admissions team can help you identify the entry route that matches your qualifications.
admissions@ai2-education.com
+33 1 80 87 35 11
Detailed curriculum · 14 subjects
Two campus semesters connect industrial networks and data acquisition with supervision, data management and applied AI, followed by the mandatory company placement.
Semester 1 · Network architecture and data acquisition
| Code | Subject | Certification focus | Teaching hours |
|---|---|---|---|
| M01 | Industrial Networks | Block 2 · Integrate equipment | 35 h |
| M02 | Industrial Communication Protocols | Block 2 · Integrate equipment | 28 h |
| M03 | Industrial Cybersecurity | Block 2 · Integrate equipment | 21 h |
| M04 | Automation & Programmable Controllers | Block 1 · Monitor production | 35 h |
| M05 | Sensor Interfacing & IIoT | Blocks 1 and 2 | 35 h |
| M06 | Project Management | Transversal skills | 21 h |
| M07 | AI for Industry | Block 1 · Monitor production | 24.5 h |
Semester 2 · Data management, SCADA and AI
| Code | Subject | Certification focus | Teaching hours |
|---|---|---|---|
| M08 | SQL & NoSQL Databases | Block 3 · Supervision | 35 h |
| M09 | SCADA & Supervision Development | Block 3 · Supervision | 28 h |
| M10 | Process Modelling (ISA-88 / ISA-95) | Block 3 · Supervision | 21 h |
| M11 | Industrial Business Intelligence | Block 1 · Monitor production | 35 h |
| M12 | Data Extraction & ETL | Blocks 1, 2 and 3 | 35 h |
| M13 | Data Law & Ethics | Transversal skills | 21 h |
| M14 | Capstone Project | All blocks | 24.5 h |
Tools, standards and practical skills
| Focus | Tools and standards |
|---|---|
| Data analysis and dashboards | Python, SQL, Power BI, Grafana and OEE indicators. |
| Industrial communication | OPC-UA, Modbus TCP, MQTT, IO-Link, Profinet and VLANs. |
| Production and supervision | ISA-88, ISA-95 and SCADA platforms. |
| Data integration | Data extraction and ETL pipelines. |
Certification competencies
| RNCP41370 block | Competency |
|---|---|
| Block 1 | Adapt an automated environment to monitor production. |
| Block 2 | Integrate and connect shop-floor equipment. |
| Block 3 | Develop and deploy global supervision (SCADA). |
Capstone and assessment
Develop a site supervision system combining production KPIs, a live dashboard and AI anomaly detection. Assessment includes presentation of a project carried out in the company, a professional questionnaire covering each block, and a final interview with the jury.
Teaching and academic support
Explore the published AI2 academic profiles and subject expertise. Contact the academic team for the instructors assigned to your intake and modules.
Tuition for the 2027 international portfolio
| Entry year / programme stage | Annual tuition | From, after a conditional AI2 scholarship |
|---|---|---|
| Final Bachelor year | €10,500 | €9,900 |
Tuition is charged per academic year. Scholarship awards apply to the first year of enrolment, are non-transferable and cannot be combined with other discounts. The award and its conditions are confirmed individually in the admission letter. Assessment for a scholarship does not guarantee an award.
Funding and financial planning
Work-study may be available from the second year in France, subject to eligibility and a separate employer contract. Confirm the tuition funding and employment conditions in writing. Admission does not guarantee a host employer.
Before enrolling, request the applicable deposit, payment schedule and any additional costs. Plan separately for accommodation, transport, insurance and living expenses.
Tuition and scholarship information · Work-study information
Entry requirements
| Requirement | Programme information |
|---|---|
| Academic entry | Two years of higher education in computing, networks, electronics or industrial engineering: HND, BTEC Level 5, BTS, or Years 1–2 of a BSc. |
| English | B2 level: IELTS 6.0, TOEFL iBT 72 or equivalent. A medium-of-instruction certificate may support a waiver when the previous degree was taught in English; admissions confirms the evidence accepted. |
| French | French is not an admission requirement for the international portfolio. |
| Selection | Academic file review and an online interview. GRE and GMAT are not required by the portfolio. |
Application documents
- Passport; degree certificates and academic transcripts, with certified translations where needed.
- CV and a one-page statement of purpose.
- Proof of English level or a medium-of-instruction certificate.
Application process
| Step | What happens |
|---|---|
| 1 · Submit your file | Choose your programme and entry route, then submit the complete application. |
| 2 · Academic review | AI2 reviews the qualifications and confirms the appropriate entry level. |
| 3 · Online interview | Discuss your background, preparation and study plans. |
| 4 · Admission decision | The admission letter confirms the offer, programme, intake, tuition and any scholarship. |
| 5 · Confirm enrolment | Follow the enrolment and deposit instructions in the offer. |
| 6 · Prepare arrival | Complete the relevant Campus France and visa steps, then arrange arrival and welcome. |
2027 intakes
January, May and September 2027 intakes are planned in the international portfolio. Programme availability and your entry route are confirmed in the admission letter.
January 2027 intake · published application calendar
| Stage | Date |
|---|---|
| Applications open | 1 September 2026 |
| Priority application deadline | 31 October 2026 |
| Complete visa file | 30 November 2026 |
| Enrolment and deposit | 15 December 2026 |
Contact admissions for the current application deadlines and arrangements for May and September 2027. Visa decisions are made by the French authorities; admission does not guarantee visa approval.
Student support
The portfolio describes an academic adviser, housing guidance, optional French classes, preparation for internship and work-study searches, and CV and interview coaching. Contact the team for the arrangements in your intake.