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SciTechBiz Institute

Programa Ejecutivo Avanzado · EMDSPL

An operational behavioural dataset. At your disposal. To build with.

For founders and CDOs who understand that the next serious product in HRTech or EdTech will be built on data, not on wireframes. Learn to use ours to build yours, and to declare what you measured, on which unit, and with which denominator.

First cohort
January 2027 · Madrid
Format
18 months · hybrid
Investment
€5,990 · up to 18×
1:1 conversation · 25 minSee the 8 axes
01 · Diagnosis

You have the idea. You have the team. What you do not have is the data.

And once you finally have it, the second problem arrives, worse because it is invisible: half the figures holding up product and headcount decisions today improve because the basis of calculation changed, not because anything real did.

  1. 01

    Data starvation

    Building HRTech or EdTech without a robust dataset leaves you wrapping somebody else's API. With no differentiation in the data there is no defensible moat.

  2. 02

    Generic people analytics

    Your current people analytics stack answers the obvious questions. Everything beyond them needs behavioural models with a scientific basis, and somebody able to say who goes into the denominator.

  3. 03

    Technical founder with no academic backing

    You know how to execute. But sitting down with top-tier funds you need the weight that separates «a startup with a feature» from «a company with a sustained research advantage».

02 · The institutional answer

Become the first Scientist of Data and Entrepreneurship NTMC in your organisation.

The EMDSPL Programa Ejecutivo Avanzado takes you from a competent data professional to a scientific authority able to hold up a decision about product, headcount or investment, with:

  • 01NTMC methodology applied to measurement design, not only to modelling
  • 02The judgement to separate the result that replicates from the ratio that improves because the denominator moved
  • 03Access to the operational profile dataset for empirical analysis and for your own thesis
  • 04An institutional title of the SciTechBiz Institute: 18 months · 1,000 hours · 8 axes · 80 classes
  • 05International community of NTMC Scientists across the institute's two offices, Madrid and London
  • 06Personal authority to defend a number before a Board or an investment committee
The difference between a good analyst and a Scientist of Data and Entrepreneurship NTMC is the ability to present scientific evidence where others present only informed opinion.
Deibson SilvaNeuropsychologist and Serial Tech Entrepreneur · Academic Director
03 · Scientific trajectory

One scientific journey · four levels

Build your professional authority step by step. Each level is individually certified.

  1. 01Foundation

    NTMC Analyst

    Master the fundamentals. Apply validated instruments. Know what a p-value claims and what it does not.

    50 h€750

    1–2 months

  2. 02Specialist

    NTMC Specialist

    Lead people analytics in mid-sized companies. Design the measure before the table has its first row.

    +€2,490

    4 months

  3. 03Advanced

    Advanced Scientific Programme

    Chief Data Officer or technical founder. Complete analytical architecture. Applied thesis, in person, in Madrid.

    500 h+€1,750

    8 months

  4. 04Ápice

    Scientist of Data and Entrepreneurship NTMC

    Recognised scientific authority. Eligible for Academy Associate. Lifetime access to the operational dataset.

    1,000 hTotal €5,990

    18 months

Start at Foundation (€750), or go straight to the Programa Ejecutivo Avanzado? Let us talk.

04 · 8 curricular axes

Eight axes · 1,000 structured hours.

18 months · 1,000 hours · 8 axes · 80 classes · hybrid modality

  1. 11 classes

    Foundations of Applied Data Science

    What gets decided before the first row · what a p-value claims · leakage in training · reproducibility a year later.

  2. 10 classes

    Strategic People Analytics

    Who goes into the denominator · unit of analysis · censoring in tenure · building a construct · causation when randomising is off the table.

  3. 10 classes

    Behavioural Modelling with ML

    Do the groups exist? · describing people rather than ranking them · temporal validation · who defines normal in anomaly detection.

  4. 10 classes

    Advanced Visualisation

    Visual inference · the axis, the aggregation and the encoding decide the conclusion before the data does · a dashboard is judged by the decision it serves.

  5. 10 classes

    Entrepreneurial Leadership

    Survivorship bias in the startup literature · the arithmetic of the cap table · dilution, option pool and liquidation preference.

  6. 11 classes

    SaaS and B2B Metrics

    What goes into acquisition cost · what the lifetime value formula assumes · why net retention rises while the business shrinks.

  7. 10 classes

    Tech Product with Behavioural Science

    Statistical power declared before launch · checking the sample split · one metric that decides · the legal limit of behavioural design.

  8. 8 classes

    NTMC Scientist Thesis

    A data product or solution · dataset provenance and unit economics declared · defence before a panel · manuscript for the SciTechBiz Review.

05 · Academic Director

Behind the dataset there are thirteen years and one person who answers for it.

Deibson Silva

Neuropsychologist and Serial Tech Entrepreneur · Academic Director

Thirteen years developing the NTMC methodology from neuropsychological clinical practice toward rigorous corporate application. Founder of the SciTechBiz Institute, one institution with two offices: Madrid and London.

The operational dataset was not bought. It was built across that career, with the measurement design declared. That is why this programme can teach on it what no course built on somebody else's data can teach: where each variable came from, and what cannot be concluded from it.

  • 01Neuropsychologist · thirteen years applying the NTMC
  • 02Founder and Academic Director · SciTechBiz Institute
  • 03Author of the NTMC methodology
  • 04Serial tech entrepreneur · Madrid and London

Academy internacional

  • Academy Titulares with doctorates and peer-reviewed publications
  • International Visiting Scholars
  • Academy Associates, graduated NTMC Scientists
  • Co-Investigators of the operational dataset
06 · Verifiable outcomes

Verifiable trajectories. Not generic testimonials.

Case A20 months

Data analyst at a Spanish company

Before the programme
Data analyst · operational dashboards · questions that arrived already framed by somebody else.
After graduation
Head of People Analytics · global talent strategy · a measurement design of her own, with the unit of analysis declared in writing.
My thesis used the operational dataset to build an attrition model that runs live in my company today. What changed was not the technique. It was being able to say which population it holds for.
Case B30 months

Brazilian startup founder

Before the programme
An idea with no revenue · 2 co-founders · no traction.
After graduation
A startup with recurring revenue · seed round closed with a top-tier fund · 18 people on the payroll.
The investors asked us to prove the «data moat». My NTMC Scientist thesis WAS the data moat. They signed a term sheet in 11 days.
SciTechBiz Institute
07 · Investment structure

Investment by level · no surprises

Begin where it makes sense. Advance when you are ready. Each level is certified independently.

Foundation

NTMC Analyst

€750

Duration
1–2 months · 50 h
Payment
1× or 3×
Specialist

NTMC Specialist

+€2,490

Duration
4 months
Payment
1× or 6×
Advanced

Advanced Scientific Programme

+€1,750

Duration
8 months · 500 h
Payment
1× or 12×
Ápice

Scientist of Data and Entrepreneurship NTMC

Total €5,990

Duration
18 months · 1,000 h
Payment
1× or 18× of €333
  • Academy Associate eligibility
  • Lifetime access to the operational dataset

Let us discuss which level fits your professional moment · 25 min · no commitment.

08 · Frequent questions

Direct answers for executive decisions.

The questions that repeat in every admission conversation. Direct answers.

01

What exactly can I do with the operational dataset?

Empirical analysis during the programme, and the applied thesis on it, with lifetime access at the Ápice level. What no tool in the programme does is rank, score or discard people: the dataset serves to describe conduct and to support decisions about product and design, not to screen candidates. That boundary is part of what is taught.

02

I am already a senior data scientist. Will this be too basic for me?

The programme does not compete on the modelling side, where you probably already are. It competes on the side almost nobody covers, which is measurement. Who goes into the denominator, what censoring does to tenure, what can be claimed about causation when randomising is off the table, and why net retention rises while the business shrinks. That is the side on which expensive decisions fall over.

03

How do I justify this investment to my CFO, my Board or my partners?

With the same material you would use for any other decision: 1,000 structured hours across 18 months, an applied thesis on a data product or solution with dataset provenance and unit economics declared in writing, and a method that puts on record what was measured and with which design. The full journey is €5,990, payable in up to 18 instalments.

04

Do I need to interrupt my work to study?

No. The format is hybrid and built for executives and founders in post: 18 months, 8 axes, 80 classes, with live sessions one evening a week and the in-person work concentrated in four intensives in Madrid, three days each, scheduled six months ahead.

05

Who are my peers in the cohort?

Between 20 and 30 people per cohort, with at least three years in a leadership position: data directors, heads of people analytics, technical founders and senior data scientists with real responsibility over decisions about product, headcount or investment. Admission always goes through a prior conversation.

06

Is the thesis done on my own product?

That is the usual case: a data product or solution, with a hypothesis the market can disprove, defended before a panel. A manuscript for the SciTechBiz Review is derived from it.

07

Can I start with Foundation and decide later?

Yes. Each level is certified independently and the amounts accumulate: €750 at Analyst, +€2,490 at Specialist, +€1,750 at the Advanced Scientific Programme, up to the €5,990 of the full journey.

08

How does the admission process work?

A 1:1 conversation of 25 minutes, with no commitment and no sales pitch, to see whether the programme makes sense for your professional moment. If it does, the place is formalised for the January 2027 cohort.

Full programme

Request the full programme

The document with the 8 axes, the 80 classes, the cohort calendar and the investment structure. No automated newsletters: a personal reply.

Request the programme
SciTechBiz Institute
09 · Next step

Shall we talk for 25 minutes?

A 1:1 conversation. No commitment. No sales pitch. Just clarity on whether the programme makes sense for your professional moment. And if you already have a product hypothesis, we look at it with its numbers in front of us.

Schedule the conversation · 25 minTalk to admissions

No spam · no automated newsletters · a personal reply within 24 h.

An institutional title (título propio) of the SciTechBiz Institute, of 1,000 hours across 18 months. It does not declare credits or a level of the European qualifications framework.