Protect
Secure networks and systems.
Configure firewalls, segment networks and harden hosts against common attacks.
Rooman's Cyber Security track is part of the Credit-Based Integrated AI Course, which universities embed in B.E., B.Tech., B.Sc. and BCA degrees with formal credits. Over 4–6 semesters it covers network security, cryptography, AI-driven threat detection and security architecture, taught by Rooman trainers alongside your college faculty.
What you'll be able to do
Security teams now use AI to spot attacks in large volumes of data. This track teaches the foundations and those methods, inside your degree and with credits as set by your university.
Protect
Configure firewalls, segment networks and harden hosts against common attacks.
Detect
Analyse logs and traffic, and use machine learning to flag unusual behaviour.
Design
Design systems with layered controls, identity and encryption built in.
Who it's for
The track is for undergraduates at colleges that partner with Rooman who want to defend systems. You enrol through your college, not directly with Rooman: the course runs where your university has a partnership with Rooman.
Not sure which course fits? Take the 10-minute career assessment, or talk to a counsellor.
180 hours · 7 modules
Seven modules, from networking to security architecture, with a project semester at the end.
How networks and operating systems work, and where they fail.
Topics covered
You produce: a mapped lab network.
Controlling and inspecting traffic between systems.
Topics covered
You produce: a segmented network with firewall rules.
Protecting data in transit and at rest.
Topics covered
You produce: an encrypted service with certificates.
Finding weaknesses before attackers do, in a legal lab.
Topics covered
You produce: a vulnerability assessment report.
Using data and machine learning to find attacks.
Topics covered
You produce: a threat detection model on log data.
Designing defences and responding when they are breached.
Topics covered
You produce: a security architecture and response plan.
A team project that secures and monitors a real system.
Topics covered
You produce: a secured system with its report.
Tools covered
You practise in isolated college labs with the tools security teams use.
| Tool group | Tools | What you use them for |
|---|---|---|
| Network analysis | Wireshark, Nmap | Inspect traffic and map networks |
| Assessment | Kali Linux, OpenVAS | Find vulnerabilities in a legal lab |
| Monitoring | A SIEM such as Splunk or Elastic | Collect and search security logs |
| Detection | Python, scikit-learn | Build threat detection models |
Capstone
In the final semester your team secures and monitors a lab system, then detects and responds to simulated attacks, guided by Rooman trainers and your faculty.
Every module ends with a hands-on lab in your college.
Your credential
Credits toward your degree. The track counts toward your degree, with credits as set by your university.
Assessment follows your university's scheme, with Rooman trainers and your faculty assessing the work together.
What's included
Before you enrol
Can't find your answer? Call 080 6945 1000 or WhatsApp us.
Yes. It is a credit-based track, with credits as set by your university.
Ask your department or placement office, or a Rooman counsellor. You enrol through your college, not directly with Rooman: the course runs where your university has a partnership with Rooman.
Yes. Universities embed the course in their degrees, and a custom track can be co-created with the academic council.
Rooman trainers, alongside your college faculty.
4–6 semesters, scheduled to fit your academic calendar.
In threat detection: you use machine learning on log and traffic data to find unusual behaviour.
No. The track starts with networking and systems.
Talk to a Rooman counsellor on 080 6945 1000 or WhatsApp +91 97390 86029. They will share current fees, payment options and upcoming batch dates.
180 hrsCredit-basedCloud & DevOpsBuild, ship and run software in the cloud.
180 hrsCredit-basedAI & Machine LearningMachine learning, inside your degree.
180 hrsCredit-basedData AnalyticsFrom raw data to decisions, for credit.For universitiesBringing this to your university?Embed this track in your degree programmes with formal credits, taught with your faculty.Talk to usNext step
Tell us your college, course and year, or your university, and a counsellor will explain how the tracks work.
Course details reviewed on 25 September 2026.