For Higher Education

AI is not a module you add. It is the way the department will work.

Programme 04 is our specialisation year for universities, institutes and working professionals. One domain, applied through the year, judged on what a person can build and defend at the end of it.

Quick answer

NASCA runs an AI led domain specialisation for higher education. A department, a faculty cohort or a group of working professionals picks one of our sixteen sub-streams, works through it across the year with applied projects, and finishes with a capstone assessed on the same published six parameter rubric we use with schools. NASCA is accredited by the World STEM Federation.

Established 2017. Present in India, the UAE and the USA. 100,000+ learners have completed a NASCA programme. 30+ subject matter experts write and review the curriculum.

2017
Writing curriculum since
16
Sub-streams to specialise in
6
Parameters every learner is scored on
WSF
Accredited

Three ways in

Pick the shape that fits your calendar.

Every engagement starts with a conversation with the department, not a proposal document.

Most chosen
🎓
Student specialisation · 01 / 03

One domain, one academic year, one capstone

A cohort takes a single sub-stream through the year. Weekly applied work, a mid-year review, and a capstone defended in front of a panel. Certification is level based, not attendance based.

🧑‍🏫
Faculty cohort · 02 / 03

Teach it yourself by the end of the year

Your faculty run the same specialisation first, then take the teaching materials, the rubric and the assessment bank. The point is that we are not needed in year three.

💼
Professionals · 03 / 03

For people already in a job

The same specialisation, scheduled around work. Evening and weekend cohorts, projects drawn from the learner's own industry, and the same certification at the end.

📐

Mapped to your credit structure

We work with the department and the registrar so the specialisation sits inside your existing catalogue rather than beside it.

🧪

Applied briefs, not toy projects

Projects are drawn from real problems, including ones the cohort brings in from their own city or workplace.

📊

A published standard

Concept, application, structure, development, programming and analytical skills, presentation. The rubric is public before the first class.

🏛️

Ethics carried through

Responsible AI is not a closing lecture. Bias, limits and consequence are assessed inside every project.

🧾

Verifiable certification

Level based certificates with a public verification page, so an employer can check them in one click.

🌍

Run across three countries

India, the UAE and the USA, so a multi-campus institution gets one standard rather than three.

Questions we get a lot.

Are you accredited?+

Yes. NASCA is accredited by the World STEM Federation, and the certification our learners earn carries that endorsement.

Can we run this for one department first?+

Yes, and most institutions should. One department, one cohort, one year, then decide on the strength of the capstones.

Do you teach coding or the domain?+

The domain. Coding is one of the sixteen sub-streams, and where a specialisation needs it, it is taught as a tool inside the work rather than as the subject itself.

How is this priced?+

Per cohort, per year, and it depends on the domain, the size of the group and whether your faculty are training alongside. We quote after one conversation, not before.

What does a learner finish with?+

A capstone they built and defended, a six parameter score for each assessment cycle, and a level based certificate that can be verified publicly.

One department. One domain. One year.

The first conversation is with someone who writes the curriculum, not a sales team.