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Terms & Conditions

These Terms govern applications, bookings, training, events, organisational services, research and development engagements, website submissions and related services supplied by Data Science Malta.

Last updated: 25 August 2026.

Important: submitting an application or enquiry does not by itself guarantee a place, tutor, date, funding, project acceptance or service engagement. A booking or engagement becomes confirmed only when Data Science Malta communicates confirmation and any required payment or contracting conditions are satisfied.

1. About these Terms

These Terms & Conditions (“Terms”) apply to the Data Science Malta website and to courses, workshops, bootcamps, tutoring or training sessions, corporate programmes, school programmes, technology events and parties, consultations, research and development (“R&D”), prototype work, funded-training enquiries, collaborations and other services offered under the Data Science Malta brand (“Services”).

Where a quotation, proposal, statement of work, service agreement, funding agreement, school agreement, corporate agreement or other written contract is issued for a particular engagement, that document forms part of the agreement. If there is a direct conflict, the specifically negotiated written agreement takes precedence for that engagement.

2. Applications, enquiries and formation of a booking

An application, enquiry, form submission, request for quotation or request for a particular date is a request for Data Science Malta to consider the proposed Service. It is not an automatic acceptance or reservation unless expressly stated otherwise.

Places, tutors, facilitators, dates, delivery modes and equipment remain subject to availability until confirmed. Data Science Malta may request further information, prerequisites, identification, parental/guardian details, organisational information, payment or other documentation before accepting an application.

3. Course information, prerequisites and learning outcomes

Course pages describe the intended scope and learning experience. Content may be adapted to learner level, technical developments, cohort needs, available software, safety considerations or pedagogical requirements while preserving the overall purpose of the programme.

Published learning outcomes describe intended educational outcomes and do not constitute a guarantee that every participant will achieve a particular grade, qualification, employment result, business result, certification outcome or level of competence. Achievement depends on attendance, participation, prior knowledge, practice and assessment performance.

4. One-to-one and group training

One-to-one fees apply to individual tuition or training unless a quotation states otherwise. Where a public course lists a group fee, that fee is per person unless expressly stated otherwise.

For self-formed group courses, two or more participants must form their own group and apply together. Data Science Malta is not obliged to find other participants to create a private group. If the group composition changes, Data Science Malta may revise the applicable rate, timetable or delivery arrangement before further sessions take place.

5. Fees, VAT, quotations and payment

Fees are those published or quoted at the time the booking is accepted, subject to correction of obvious errors. Organisational, bespoke, R&D, event and private programmes may be individually quoted. Unless a quotation states otherwise, third-party examination fees, certification fees, specialist hardware, venue hire, travel, accommodation, licences and other external costs are not included.

Invoices must be paid by the due date shown. Data Science Malta may withhold commencement, access, materials, certificates or further delivery where payment is overdue, subject to applicable law and the terms of the particular engagement.

Any VAT treatment is applied in accordance with applicable law and the invoice issued.

6. Consumer right of withdrawal for distance contracts

Where Maltese/EU consumer law gives an individual consumer a statutory right to withdraw from a distance or off-premises service contract, that statutory right is preserved. For services, the statutory withdrawal period is generally 14 days from conclusion of the contract.

If you expressly ask Data Science Malta to begin providing a paid service during an applicable withdrawal period, you acknowledge that, where permitted by law, you may be required to pay for the service supplied up to the time you validly withdraw. Where a service has been fully performed following the legally required request/acknowledgement, the statutory withdrawal right may cease to apply to that fully performed service.

Nothing in these Terms removes a mandatory consumer right that cannot lawfully be excluded.

7. Cancellations, rescheduling and missed sessions

Unless a course page, quotation or specific agreement provides different cancellation terms, requests to cancel or reschedule a scheduled individual session should be sent in writing at least 48 hours before the scheduled start. Data Science Malta will consider reasonable rescheduling requests subject to tutor/facilitator availability.

Late cancellations and non-attendance may be treated as used sessions and may remain payable where permitted by law and the applicable booking terms. A rescheduled session is not guaranteed to take place with the same tutor, facilitator, date or time.

For fixed-date bootcamps, workshops, cohorts, events, parties and organisational programmes, different cancellation conditions may apply because capacity, tutors, venues, equipment and dates may be committed in advance. Those conditions will be displayed or communicated for the relevant booking.

8. Changes or cancellation by Data Science Malta

Data Science Malta may reasonably change a tutor/facilitator, timetable, room, delivery platform, teaching sequence or comparable operational detail. If Data Science Malta must cancel a Service and cannot provide a reasonable replacement or alternative, the remedy will be determined according to the nature of the Service, amounts paid and applicable law.

9. Online and in-person delivery

Participants are responsible for having a suitable device, reliable internet connection and any stated software or equipment for online training. Data Science Malta is not responsible for participant-side internet, hardware or software failures.

In-person delivery is subject to agreed location, access, health and safety, safeguarding, equipment and venue requirements. Additional travel or venue costs may apply where disclosed or quoted.

10. Minors, safeguarding and parental/guardian responsibility

An application for a minor must be made or authorised by a parent or legal guardian. The parent/guardian is responsible for providing accurate age and contact information and for informing Data Science Malta of information reasonably necessary for safe and appropriate participation.

For in-home or other private-location services involving a minor, Data Science Malta may require a responsible adult to be present or otherwise impose safeguarding conditions. Parents/guardians remain responsible for supervision outside the agreed teaching activity and for collection/transport arrangements at physical events unless expressly agreed otherwise.

11. Robotics, science and technology parties/events

Event concepts are adapted to participant age, group size, venue, duration, equipment and safety requirements. Activities shown on the website are illustrative possibilities, not guaranteed components of every event.

The client is responsible for accurate participant numbers, venue suitability and any responsibilities allocated to the client in the event confirmation. Activities may be substituted where equipment, technical, safeguarding or safety considerations require it.

12. Corporate, school and organisational training

Organisational training may be customised following discovery, skills assessment or consultation. The client is responsible for identifying authorised participants, ensuring attendance, providing accurate requirements and, where relevant, ensuring that internal policies permit use of the proposed technologies and data.

Unless expressly agreed in writing, training is educational and does not constitute legal, regulatory, financial, cybersecurity, medical or other regulated professional advice.

13. Funding, grants and reimbursement schemes

Information concerning funding schemes is provided for guidance. Funding programmes are administered by their respective authorities or bodies, not by Data Science Malta unless expressly stated. Eligibility, approval, reimbursement, deadlines, eligible expenditure, aid intensity and documentation requirements are determined by the relevant scheme and authority.

Data Science Malta does not guarantee funding approval, reimbursement or continued availability of any scheme. A learner or client remains responsible for the course/service fees in accordance with the booking or invoice unless Data Science Malta expressly agrees otherwise in writing.

Where a scheme requires approval before training begins, the applicant is responsible for ensuring that the relevant approval has been obtained before relying on funding. Website references to schemes may become outdated when authorities amend or close programmes.

14. R&D, prototypes, feasibility and experimental work

R&D and prototype engagements are inherently exploratory. Unless a signed statement of work expressly provides otherwise, a prototype, proof of concept, feasibility study, experiment or research output is not represented as production-ready, error-free, commercially viable, certified, secure for every use case or compliant with every regulatory requirement.

Project scope, milestones, acceptance criteria, ownership/licensing of project-specific deliverables, background intellectual property, confidentiality, data responsibilities and production deployment responsibilities should be set out in the applicable proposal or statement of work.

15. Artificial intelligence and emerging technologies

Some Services teach, demonstrate or use AI-assisted tools. AI systems can generate inaccurate, incomplete or inappropriate outputs. Participants must evaluate outputs critically and follow applicable confidentiality, privacy, intellectual-property, academic-integrity and organisational rules.

Unless expressly agreed, participants must not upload confidential, personal, special-category, proprietary or otherwise restricted data into third-party AI systems during training.

16. Course materials and intellectual property

Course notes, slides, exercises, datasets, templates, recordings, code examples and other materials supplied by Data Science Malta or its licensors remain protected by applicable intellectual-property law. Unless expressly licensed otherwise, they are supplied for the participant’s personal/internal learning use and may not be sold, republished, uploaded publicly, redistributed as a competing training product or used to train another commercial course.

Third-party software, datasets, code, platforms and materials remain subject to their respective licences and terms.

17. Recording, screenshots and media

Participants may not record, stream or photograph private teaching sessions, other participants, screens or materials without prior permission. Data Science Malta will not treat acceptance of these Terms as consent for promotional photography or marketing recordings where separate consent is legally or operationally appropriate.

Where a session may be recorded for a specified operational purpose, participants will be informed and any consent required by applicable law will be sought separately.

18. Certificates, attendance and assessment

Any certificate of attendance, completion or achievement is subject to the requirements stated for the programme, which may include attendance, assessment, project completion or payment of outstanding fees. A Data Science Malta certificate is not represented as a regulated qualification unless expressly identified as such.

19. Participant conduct

Participants must behave lawfully and respectfully and must not disrupt sessions, harass others, compromise systems, introduce malicious code, attempt unauthorised access or use training activities for unlawful purposes. Data Science Malta may remove a participant where reasonably necessary for safety, security, safeguarding or serious misconduct, subject to applicable law.

20. Confidentiality

Data Science Malta will use reasonable care with confidential information disclosed for an engagement. Corporate and R&D clients requiring specific confidentiality obligations, permitted disclosures, security controls or data-processing terms should ensure these are documented in an NDA, data-processing agreement or statement of work before sensitive information is disclosed.

21. Personal data and privacy

Personal data submitted through forms or generated in connection with Services is processed in accordance with the Data Science Malta Privacy Policy and applicable data-protection law. The Privacy Policy explains purposes, legal bases, retention, recipients and data-subject rights.

Acceptance of contractual Terms is separate from optional marketing consent. Marketing consent, where requested, must be given separately and can be withdrawn as described in the Privacy Policy.

22. Third-party services and external links

Services may involve third-party platforms, software, videoconferencing, coding environments, cloud services, payment providers or external websites. Their availability and independent terms are outside Data Science Malta’s control. Participants may need to accept third-party terms to use them.

23. Website information

Data Science Malta takes reasonable care to maintain accurate website information but course availability, funding schemes, dates, technologies, prices and external links can change. Obvious typographical, technical or pricing errors may be corrected. Material booking terms will be confirmed where appropriate.

24. Liability

Nothing in these Terms excludes or limits liability where exclusion or limitation is prohibited by law, including applicable mandatory consumer rights. Subject to those rights and any specific written agreement, Data Science Malta is not responsible for indirect or consequential business losses arising from a participant’s independent implementation of educational examples, third-party services or experimental outputs.

25. Force majeure and circumstances beyond reasonable control

Data Science Malta is not responsible for delay or failure caused by circumstances reasonably beyond its control, including widespread network outages, platform failures, severe weather, public emergencies, governmental restrictions, venue closure or similar events. Where practicable, reasonable alternatives such as rescheduling or online delivery may be offered.

26. Complaints and communications

Questions, cancellation notices, complaints and contractual communications should be sent through the official contact channels published on the website. Data Science Malta may ask for written confirmation where a communication affects a booking, payment, cancellation or legal right.

27. Changes to these Terms

Website Terms may be updated from time to time. The version applicable to a confirmed booking is the version incorporated into that booking, together with any later change expressly agreed or required by law.

28. Governing law

These Terms are governed by the laws of Malta, without depriving a consumer of mandatory protections that apply under applicable consumer law. Any dispute-resolution or jurisdiction provision in a specifically negotiated agreement will apply to that engagement where legally valid.

29. Contact

For contractual or legal enquiries, use the contact details published on the Data Science Malta Contact page.

Legal review note: These Terms are designed as comprehensive website/service terms and preserve mandatory statutory rights. Bespoke corporate, R&D, public-sector and high-value engagements should additionally use a tailored quotation, statement of work or services agreement.
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