Digital Infrastructure

⚓ 4 rounds ⏱ ~45 min ★ Beginner

About this pathway

Step into the world of software, data, systems and emerging tech — the people who design and build the digital backbone of how we work, play, and live. Try real engineering dilemmas, see the trade-offs, and find out which corner of this huge field fits the way you think.

Foundations

School ages · 12–18

Strong math every year. Take Computer Science as a subject if your school offers it. Physics helps. Stats is strongly preferred if you're leaning toward AI or Data.

Undergraduate degree

Ages 18–22

A bachelor's in Computer Science, or a close cousin — Software Engineering, IT, Information Systems. Also works:

a
Math / Stats / Physics UG — preferred for AI, ML, Data roles.
b
Electronic & Communication Engineering — preferred for IoT, Edge Computing, Embedded Systems.
c
BCA, BSc CS, Computer Applications — functionally similar. Restricts some specialisations later.
d
Non-UG routes — bootcamps, specialised courses, self-taught. Workable, but higher variance.

Specialise during your degree

Final 1–2 years of UG

Pick electives, do internships, build projects toward a chosen branch.

Software Development

Web Developer
Mobile App Developer
Game Programmer
DevOps / SRE

Data & AI

Data Engineer
Data Scientist
ML Engineer
AI Researcher

Systems & Infrastructure

Systems Engineer
Network Engineer
Cloud Architect
Solutions Architect

Emerging Tech

Blockchain Developer
AR / VR Developer
IoT / Edge Computing

★ Your journey in this game ★

1
Play 4 rounds — each a stage of a real career in Digital Infra.
2
Move from student to working professional.
3
No right or wrong — each choice has trade-offs.
4
Complete events and tasks to build your career.

You'll play four rounds simulating the path of a Digital Infra professional over 6–7 years. Every choice has trade-offs. There is one win condition.

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