Diploma in Technical Traction Metrics and Unit Economics
Online postgraduate diploma of 800 hours in technical traction metrics and unit economics. 8 modules covering traction in technology start-ups, product and usage metrics, deeptech technical metrics, unit economics, revenue and growth metrics, efficiency and cash, and dashboards and investor communication, with an assigned technical tutor.
Diploma in Technical Traction Metrics and Unit Economics — studying from South Africa
The automotive sector is one of South Africa's most important manufacturing industries, with major plants in the Eastern Cape around Gqeberha, in KwaZulu-Natal and in Gauteng. Manufacturers such as Mercedes-Benz South Africa, Ford and Volkswagen South Africa operate assembly and component facilities that export vehicles and parts across Africa and beyond. The sector relies on engineers skilled in powertrain design, vehicle dynamics, quality and production systems. Motorsport activity, including circuits at Kyalami and Zwartkops, adds further demand for performance engineering.
Fees for South Africa: R 20 400 (South African rand), with instalments and employer sponsorship available.
Relevant bodies in South Africa
Typical roles
Questions from South Africa
Which South African bodies recognise automotive engineering skills, and does SEIUM count?
Professional recognition for engineers in South Africa runs through ECSA, which registers engineers, technicians and technologists under the Engineering Profession Act. Automotive trades also fall under bodies such as the MERSETA for skills development. SEIUM is a private online institute whose qualifications are not state degrees and are not accredited by a national body, so whether they are recognised is up to the employer or the relevant body to decide.
Will this programme help me find work in South Africa's automotive or motorsport industry?
South Africa has a significant automotive manufacturing and component sector, and motorsport teams and suppliers also hire engineers. Employers typically look at practical experience, recognised qualifications and references. A private online qualification can strengthen your profile in specialist areas, but it does not guarantee employment. Speak to potential employers about whether they would value it.
How does the course fit around a job, and how are fees paid?
The programme is delivered entirely online in English, with an assigned technical tutor and a final project. Master's programmes are 1,900 hours, postgraduate diplomas 800 hours and specialist courses 300 hours, so choose the level that matches your available time. Fees are payable in instalments, and employer sponsorship may be possible. Ask your employer whether they would fund part of the training.
Take the controls.
Run a real engineering trade-off from this field. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Define the right traction for each stage of a start-up.
Measure product usage and retention.
Set verifiable technical milestones in deeptech.
Calculate and optimise unit economics.
Analyse revenue and growth metrics.
Control capital efficiency and cash.
Communicate metrics rigorously to investors.
Who it's for
- Growth analysts measuring retention, activation and revenue.
- Start-up CFOs building unit economics and runway models.
- Venture capital analysts assessing traction in technology companies.
- Product managers responsible for usage and adoption metrics.
- Founders of technology start-ups preparing for a funding round.
- Revenue operations managers in B2B and SaaS businesses.
- Engineering or science graduates looking to join technology start-ups.
What you'll work with
- European Commission TRL scale (Horizon Europe) (technology readiness levels)
- US Department of Defense Manufacturing Readiness Level Deskbook (manufacturing readiness levels)
- IFRS 15 (revenue from contracts with customers)
- Spanish Law 28/2022 on start-ups (start-up ecosystem framework)
- ISO 56002 (innovation management systems)
- IPEV Valuation Guidelines (private equity and venture capital valuation)
- Python with pandas
- Mixpanel
- ChartMogul
- Looker Studio
- Microsoft Excel
8 modules
1.1The concept of traction and how it evolves1.2Product validation stages1.3Problem-solution fit and product-market fit1.4Technical versus commercial traction1.5Industrial pilots and proofs of concept1.6Letters of intent and pre-agreements1.7Investor expectations by stage1.8Errors in measuring traction1.9Engineering start-up cases1.10Case study: traction diagnosis of a hardware start-up
2.1Active users and cohorts2.2Retention and survival curves2.3Activation and time to value2.4Usage frequency2.5NPS and satisfaction2.6Technical reliability metrics2.7Uptime and performance2.8Feature adoption2.9Product instrumentation2.10Lab: cohort analysis in Python
3.1Technology readiness levels (TRL)3.2Manufacturing readiness levels (MRL)3.3Verifiable technical milestones3.4Performance against specification3.5Learning and scaling curves3.6Production yield3.7Reliability measured as MTBF3.8Certifications as milestones3.9Intellectual property as an indicator3.10Workshop: technical milestone plan for investors
4.1Average revenue per customer4.2Customer acquisition cost (CAC)4.3Customer lifetime value (LTV)4.4Interpreting the LTV/CAC ratio4.5CAC payback period4.6Gross margin per unit4.7Cost of goods sold in hardware4.8Contribution margin per unit4.9Economies of scale4.10Practical exercise: unit economics model for an industrial SaaS
5.1MRR and ARR5.2Monthly and annual growth5.3Customer and revenue churn5.4Net revenue retention5.5Expansion and upselling5.6Sales pipeline and conversion5.7B2B sales cycle5.8Customer concentration5.9Effects of seasonality5.10Case study: ARR analysis of a platform
6.1Burn rate and runway6.2Calculating the burn multiple6.3Rule of 406.4Sales magic number6.5Capital efficiency6.6Working capital in hardware6.7Cash flow forecasts6.8Funding scenarios6.9Indicators for the board6.10Workshop: runway model with scenarios
7.1Selecting North Star metrics7.2Dashboard design7.3Data sources and quality7.4Investor reporting7.5Metrics data room7.6Sector benchmarks for metrics7.7Growth narrative7.8Communication errors7.9Metrics audit7.10Practical exercise: metrics dashboard for a funding round
8.1Selection of the start-up8.2Traction metrics8.3Definition of technical metrics8.4Unit economics model8.5Revenue metrics8.6Cash model8.7Dashboard and narrative8.8Conclusions and areas for improvement8.9Report and presentation8.10Final project: final review with the tutor
How you'll learn
Training is 100% online 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 the intake, so the programme fits around your job.
Each module combines theory, guided reading of the reference frameworks and applied exercises. The working software is Python with pandas, Mixpanel, ChartMogul, Looker Studio and Microsoft Excel, in free, academic or evaluation versions. Exercises are based on real procedures: retention cohort analysis, a unit economics model and a metrics dashboard for investors. Assessment is continuous by module, plus the final capstone project.
Standards covered: European Commission TRL scale (Horizon Europe), US Department of Defense Manufacturing Readiness Level Deskbook, IFRS 15, Spanish Law 28/2022 on start-ups, ISO 56002, IPEV Valuation Guidelines.
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
- Prior technical training or professional experience in the sector. No university degree is required.
- An internet connection and a computer capable of running 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.
Frequently asked questions
The programme totals 800 hours over 6–8 months. You set your own pace within each intake, and your tutor helps you plan the workload around your job.
You work with Python with pandas, Mixpanel, ChartMogul, Looker Studio and Microsoft Excel, 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 final project. 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 are recognised in a higher programme in the same area (postgraduate diploma or master's). Ask about the recognition policy when you enrol.
Prior technical training or professional experience in the sector (no university degree required), a suitable computer 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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