Master'sBusiness, Management & Technology Policy Applications open

Master’s in Commercial, Product & Experience Engineering

Online master's programme of 1,900 hours in commercial, product and experience engineering. 12 modules covering technology marketing, product management, user-centred design, pricing, channels and sales, customer experience, digital marketing, product launch, support, customer analytics and consumer regulation, with an assigned technical tutor.

Duration1900 h
ModeOnline
LanguageEnglish
Start datesSet by the faculty
AwardSEIUM Institute diploma

Master’s in Commercial, Product & Experience Engineering — studying from New Zealand

Engineering management and technology policy roles are important across New Zealand, particularly in infrastructure, energy, primary industries and the technology sector, which is concentrated in Auckland and Wellington. Organisations such as the Ministry of Business, Innovation and Employment shape innovation policy, while Callaghan Innovation supports research commercialisation and industrial development. Professionals in this field usually combine technical knowledge with project governance, procurement and strategic planning for large public and private organisations.

Fees for New Zealand: NZ$15,700 (New Zealand dollar), with instalments and employer sponsorship available.

Relevant bodies in New Zealand

  • Ministry of Business, Innovation and Employment (MBIE)
  • Callaghan Innovation
  • Institute of Directors in New Zealand

Typical roles

  • Engineering Project Manager
  • Technology Policy Analyst
  • Innovation Manager
  • Operations Manager

Questions from New Zealand

Do New Zealand professional bodies recognise business or technology policy qualifications for engineers?

Engineering New Zealand regulates engineering registration, including Chartered Professional Engineer status, and focuses on engineering competence rather than management study alone. Other relevant bodies include professional institutes for management and project leadership. SEIUM's qualifications are private, not state degrees, and not accredited by any national body, so their standing is determined by the employer or relevant body.

Where do engineers with management and technology policy skills work in New Zealand?

Typical employers include government agencies, infrastructure and energy organisations, consultancies, and technology companies needing leaders who understand both engineering and policy. Advancement often depends on experience, results and professional networks. A private programme can add credibility to a CV, but it does not guarantee promotion or a particular role.

Can I manage this study alongside a job and get my employer to pay?

The programmes are online and in English, so you can study from New Zealand without a student visa. Specialist courses take 300 hours, postgraduate diplomas 800 hours and master's programmes 1,900 hours, each with an assigned technical tutor and a final project. Fees are payable in instalments, and employer sponsorship is possible. Plan a realistic weekly schedule before enrolling.

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Learning outcomes

What you will be able to do

01

Define value propositions and positioning for technology products.

02

Manage a product's life cycle and roadmap.

03

Apply user-centred design methods and QFD.

04

Set value-based prices and revenue models.

05

Design effective sales channels and commercial strategies.

06

Improve customer experience using metrics and journey maps.

07

Plan product launches that comply with commercial regulation.

Profile

Who it's for

  • Product managers in technology companies.
  • Product marketing managers.
  • Sales directors.
  • Customer experience managers.
  • Key account managers.
  • Customer analysts.
  • Engineering or science graduates seeking to enter consumer technology.
Standards & tools

What you'll work with

  • ISO 9241-210:2019 (human-centred design for interactive systems)
  • ISO 10002:2018 (customer satisfaction – complaints handling)
  • Regulation (EU) 2023/988 (general product safety)
  • Directive (EU) 2019/882 (European Accessibility Act)
  • Regulation (EU) 2016/679 – GDPR (personal data protection)
  • Directive 2005/29/EC (unfair commercial practices)
  • ISO 23592:2021 (service excellence)
  • Directive (EU) 2019/771 (sale of goods and legal guarantee)
  • Salesforce
  • HubSpot
  • Google Analytics 4
  • Qualtrics
  • Figma
Syllabus

12 modules · 1900 h

  1. 1.1Marketing technical and industrial products
  2. 1.2Segmentation, targeting and positioning
  3. 1.3Value proposition with the Osterwalder canvas
  4. 1.4Technology adoption life cycle and Moore's chasm
  5. 1.5Competitive analysis and benchmarking
  6. 1.6Market entry strategies
  7. 1.7Branding in B2B and B2C environments
  8. 1.8Marketing plan and budget
  9. 1.9Marketing metrics and attribution
  10. 1.10Case study: positioning an industrial product
  1. 2.1The role of the product manager in engineering
  2. 2.2Product discovery and interviews
  3. 2.3The jobs-to-be-done method
  4. 2.4Prioritisation with RICE and the Kano model
  5. 2.5Product roadmap
  6. 2.6Market requirements and specifications
  7. 2.7Product life cycle
  8. 2.8Range rationalisation
  9. 2.9Adoption and retention metrics
  10. 2.10Workshop: roadmap for a connected product
  1. 3.1User-centred design according to ISO 9241-210
  2. 3.2Qualitative and quantitative user research
  3. 3.3Rapid prototyping and proofs of concept
  4. 3.4Quality function deployment (QFD)
  5. 3.5Conjoint analysis of preferences
  6. 3.6Design for manufacturing and cost
  7. 3.7Usability testing
  8. 3.8Product-service system design
  9. 3.9Accessibility and inclusive design
  10. 3.10Practical: QFD matrix for a household appliance
  1. 4.1Value-based pricing
  2. 4.2Van Westendorp price sensitivity
  3. 4.3Tiered and bundled pricing
  4. 4.4Subscriptions and pay-per-use
  5. 4.5Channel pricing and margins
  6. 4.6Discounts and price governance
  7. 4.7Pricing in tenders
  8. 4.8Price psychology
  9. 4.9Pricing in international markets
  10. 4.10Lab: Van Westendorp study with survey data
  1. 5.1Direct and indirect channels
  2. 5.2Distributors, integrators and partners
  3. 5.3Sales force management
  4. 5.4Sales funnel and forecasting
  5. 5.5CRM and sales automation
  6. 5.6Consultative selling with SPIN
  7. 5.7B2B e-commerce
  8. 5.8Key account management
  9. 5.9Sales incentives and compensation
  10. 5.10Case study: redesigning a manufacturer's channel
  1. 6.1Principles of customer experience
  2. 6.2Customer journey maps
  3. 6.3Voice of the customer and active listening
  4. 6.4NPS, CSAT and CES metrics
  5. 6.5Moments of truth
  6. 6.6Consistency of the omnichannel experience
  7. 6.7Complaints handling under ISO 10002
  8. 6.8Emotional and memorable experiences
  9. 6.9Customer-centric culture
  10. 6.10Practical: journey of an industrial customer
  1. 7.1Technical content marketing
  2. 7.2SEO and search engine positioning
  3. 7.3Paid digital advertising
  4. 7.4Automation and lead nurturing
  5. 7.5Professional social networks
  6. 7.6Webinars and virtual events
  7. 7.7Account-based marketing
  8. 7.8Web analytics with GA4
  9. 7.9Privacy, cookies and the GDPR
  10. 7.10Workshop: content plan for a technical product
  1. 8.1Go-to-market plan
  2. 8.2Sales readiness and training
  3. 8.3Communication and public relations
  4. 8.4Pilots and reference customers
  5. 8.5Trade fairs and industry events
  6. 8.6Technical and sales documentation
  7. 8.7Launch success indicators
  8. 8.8Staggered launches across several countries
  9. 8.9Common launch mistakes
  10. 8.10Case study: launching an industrial sensor
  1. 9.1Technical support models
  2. 9.2Service levels and SLAs
  3. 9.3Omnichannel contact centres
  4. 9.4Knowledge base and self-service
  5. 9.5Customer success and renewals
  6. 9.6Customer training
  7. 9.7Field technical service
  8. 9.8Service quality and its measurement
  9. 9.9AI-assisted support
  10. 9.10Practical: support model for a SaaS product
  1. 10.1Customer data and CDP platforms
  2. 10.2Segmentation through clustering
  3. 10.3Customer lifetime value
  4. 10.4Churn prediction
  5. 10.5A/B testing and experimentation
  6. 10.6Attribution models
  7. 10.7Product analytics
  8. 10.8Sales dashboards
  9. 10.9Bias and ethics in analytics
  10. 10.10Lab: customer churn model in Python
  1. 11.1Consumer protection in the EU
  2. 11.2Guarantees and product conformity
  3. 11.3Unfair commercial practices and advertising
  4. 11.4CE marking of products
  5. 11.5Regulation (EU) 2023/988 on general product safety
  6. 11.6Digital Services Act and platforms
  7. 11.7Accessibility: Directive (EU) 2019/882
  8. 11.8Competition law in distribution
  9. 11.9Electronic contracting and terms of use
  10. 11.10Case study: legal review of a sales campaign
  1. 12.1Selecting the product or service for study
  2. 12.2Market and user research
  3. 12.3Value proposition and positioning
  4. 12.4Pricing and channel strategy
  5. 12.5Customer experience design
  6. 12.6Launch and communication plan
  7. 12.7Indicators and measurement plan
  8. 12.8Economic viability of the product
  9. 12.9Master's Thesis report
  10. 12.10Master's Thesis: defence before a panel
Methodology, software & labs

How you'll learn

A 100% online programme on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. There are no fixed timetables: you progress at your own pace within each intake, so the programme fits around your job.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is Salesforce, HubSpot, Google Analytics 4, Qualtrics and Figma, in free, academic or evaluation versions. Exercises are based on real procedures: user research and proof of concept, a price sensitivity study and designing a customer journey map. Assessment is continuous by module, plus the final Master's Thesis.

Standards covered: ISO 9241-210:2019, ISO 10002:2018, Regulation (EU) 2023/988, Directive (EU) 2019/882, Regulation (EU) 2016/679 (GDPR), Directive 2005/29/EC, ISO 23592:2021, Directive (EU) 2019/771.

Assigned technical tutor:every module ends with a deliverable that your tutor marks individually.
Standards-based learning:guided reading of ISO 9241-210, ISO 10002, the General Product Safety Regulation and the GDPR applied to real cases, not as a theoretical annex.
Industry software:Salesforce, HubSpot, Google Analytics 4, Qualtrics and Figma, in free, academic or evaluation versions.
Master's Thesis with defence:a complete go-to-market plan for a technology product or service, from user research to economic viability, defended before a panel.
Flexible format:100% online, no fixed timetables, compatible with full-time work.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

User research and QFD
Run user research and translate the findings into a QFD matrix for a product.
Price sensitivity study
Carry out a Van Westendorp study with survey data and define the pricing model.
Customer journey map
Map the journey of an industrial customer and redesign the key moments of truth.
Churn prediction model
Build a customer churn model in Python and link it to retention actions.
Master's Thesis
A go-to-market plan for a technology product or service, defended before a panel.
Career opportunities

Where this takes you

Product managerProduct marketing managerSales directorCustomer experience managerKey account managerCustomer analyst
Admissions & scholarships

Requirements

  • University degree in engineering, science or architecture, or equivalent demonstrable professional experience.
  • Internet connection and a computer able to run the programme 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.

FAQ

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 Salesforce, HubSpot, Google Analytics 4, Qualtrics and Figma, 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, plus a computer able to run the programme 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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