Master’s in Technology Roadmapping and Competitive Intelligence Engineering
Online master's programme of 1,900 hours in technology roadmapping and competitive intelligence engineering. 12 modules covering innovation strategy, roadmapping, foresight, technology watch to UNE 166006, patent intelligence, bibliometrics, competitive intelligence, text mining and AI, and technology prioritisation, with an assigned technical tutor.
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What you will be able to do
Understand how technologies evolve and mature.
Design layered technology roadmaps aligned with strategy.
Apply foresight methods such as Delphi and scenario planning.
Implement a technology watch system in line with UNE 166006.
Analyse patents and scientific publications to detect trends.
Prioritise technologies using multi-criteria and risk criteria.
Communicate intelligence findings to senior management.
Who it's for
- Technology intelligence analysts looking to strengthen their roadmapping and foresight skills.
- Competitive intelligence managers responsible for a technology watch unit.
- Innovation strategy consultants advising industrial clients.
- R&D&I portfolio managers who need structured methods for prioritising technologies.
- Industrial property specialists moving into patent analytics and landscaping.
- Chief technology officers who want to formalise their organisation's technology strategy.
- Engineering or science graduates seeking to enter the automotive sector.
What you'll work with
- UNE 166006:2018 (technology watch and intelligence system)
- ISO 56006:2021 (strategic intelligence management)
- ISO 56002:2019 (innovation management system)
- UNE 166002:2021 (R&D&I management systems)
- ISO 56005:2020 (intellectual property management)
- CEN/TS 16555-2:2014 (strategic intelligence management)
- Directive (EU) 2016/943 (protection of trade secrets)
- Orbit Intelligence
- PatSnap
- VOSviewer
- Espacenet
- Power BI
12 modules · 1900 h
1.1Technology life cycle and S-curves1.2Incremental and disruptive innovation typologies1.3Diffusion of innovations according to Rogers1.4TRL and MRL maturity scales1.5The Hype Cycle and expectation management1.6Technology strategy and competitive advantage1.7Technology portfolio matrices1.8ISO 56002 innovation management system1.9Dynamic capabilities and technology absorption1.10Case study: technology audit of an industrial SME
2.1Origins of the method at Motorola and Philips2.2Layered roadmap architecture2.3The University of Cambridge T-Plan process2.4S-Plan for strategic planning2.5Product, platform and technology roadmaps2.6Time horizons and granularity2.7Running expert workshops2.8Linking to the corporate strategic plan2.9Sector and consortium roadmaps2.10Workshop: building a layered roadmap
3.1Foresight versus prediction3.2The Delphi method and expert panels3.3Shell-style scenario planning3.4Morphological analysis and cross-impact3.5Detecting weak signals3.6Megatrends and PESTEL analysis3.7Backcasting from a vision of the future3.8Prospective bibliometric indicators3.9Communicating scenarios to senior management3.10Practical exercise: two-round Delphi on urban mobility
4.1The intelligence cycle and critical factors4.2Requirements of the UNE 166006 standard4.3Designing the technology watch unit4.4Formal and informal information sources4.5Management information needs4.6Bulletins, alerts and internal dissemination4.7System performance indicators4.8System audit and certification4.9Ethical and legal limits of information gathering4.10Case study: implementation in a technology centre
5.1EPO, USPTO and WIPO patent systems5.2IPC and CPC classifications5.3Boolean search strategies5.4Patent families and citation networks5.5Patent technology landscapes5.6Freedom-to-operate analysis5.7Identifying white spaces5.8Portfolio quality indicators5.9Intellectual property management to ISO 560055.10Lab: patent landscape with Espacenet and Lens
6.1Scopus and Web of Science databases6.2Output and impact indicators6.3Institutional co-authorship networks6.4Co-citation and bibliographic coupling6.5Co-word maps6.6Emerging research fronts6.7Normalisation and cleaning of records6.8Visualisation with VOSviewer6.9Limitations in interpreting metrics6.10Practical exercise: science map of solid-state batteries
7.1Competitor analysis according to Porter7.2Technology and product benchmarking7.3OSINT sources and their legitimacy7.4Teardown and analysis of a competitor product7.5Signals in job postings and acquisitions7.6War gaming and competitive simulation7.7Competitor tracking profiles7.8Protection of trade secrets7.9Counter-intelligence and protection of in-house information7.10Case study: profile of an automotive manufacturer
8.1Web scraping and open-source APIs8.2Natural language processing of technical text8.3Topic modelling with LDA and BERTopic8.4Automatic news classification8.5Entity and relation extraction8.6Technology knowledge graphs8.7Language models and summarisation bias8.8Human validation of automated results8.9Technology watch dashboards8.10Lab: text-mining pipeline in Python
9.1Attractiveness and capability criteria9.2AHP multi-criteria analysis9.3Real-options valuation9.4Technology risk matrices9.5Make, buy or partner decisions9.6Technology transfer and licensing9.7R&D&I project portfolio9.8Stage-Gate phase management9.9Public funding for innovation9.10Workshop: AHP prioritisation of candidate technologies
10.1Electrification and battery evolution10.2The software-defined vehicle10.3Automated driving and SAE J3016 levels10.4Hydrogen and renewable fuels10.5European ERTRAC and 2Zero agendas10.6Automotive semiconductors10.7Critical raw materials and supply10.8Regulation as a driver of change10.9Coordination with Tier 1 suppliers10.10Case study: electrification of a corporate fleet
11.1Roles in the intelligence team11.2Integration with budgets and investments11.3Periodic update cycle11.4Indicators of the value of technology watch11.5Change management and innovation culture11.6Online collaborative tools11.7Visual communication to stakeholders11.8Guidelines of the ISO 56006 standard11.9Common pitfalls in implementation11.10Practical exercise: deployment plan in an organisation
12.1Selecting the technology field12.2Defining objectives and scope12.3State-of-the-art review12.4Methodological design of the study12.5Information gathering and analysis12.6Building scenarios and the roadmap12.7Validation with an expert panel12.8Strategic recommendations for senior management12.9Master's Thesis report12.10Master's Thesis: defence before a panel
How you'll learn
The programme is delivered 100% online on the SEIUM campus, with downloadable materials, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so you can combine it with your job.
Each module combines theory, guided reading of the original standards and applied exercises. The working software is Orbit Intelligence, PatSnap, VOSviewer, Espacenet and Power BI, in free, academic or evaluation versions. Exercises are based on real procedures: building a technology roadmap with an expert panel, analysing the patent landscape of an industrial sector and designing a technology watch bulletin for senior management. Assessment is continuous by module, plus the final Master's Thesis.
Standards covered: UNE 166006:2018, ISO 56006:2021, ISO 56002:2019, UNE 166002:2021, ISO 56005:2020, CEN/TS 16555-2:2014 and Directive (EU) 2016/943.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Where this takes you
Requirements
- A university degree in engineering, science or architecture, or equivalent demonstrable professional experience.
- An internet connection and a computer capable of running the programme's software.
- English sufficient to read technical standards.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme totals 1,900 hours over 12–14 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with Orbit Intelligence, PatSnap, VOSviewer, Espacenet and Power BI, using free, academic or evaluation versions. Your tutor indicates the free alternative wherever one exists.
A SEIUM Institute diploma, awarded on passing the continuous assessment and the Master's Thesis. It is SEIUM's own qualification, not an official state degree; its recognition depends on the programme completed and the regulations of each country.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised in the higher programme. Ask about the recognition policy when you enrol.
A university degree in engineering, science or architecture (or equivalent professional experience), a computer able to run the software and English sufficient to read technical standards.
Start dates are set by SEIUM's faculty for each intake. Our admissions team will confirm the next available date when you apply.
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