Why IIT Madras (Management + Data Science) + SRM (CSE) is My Power Move
Future-proofing growth through academic strategy
When people look at my academic path, the first reaction is usually:
“Why two degrees at the same time?”
For me, the answer is simple-I didn’t want to become one-dimensional.
I’m currently pursuing:
- B.Tech in CSE (Data Science) from SRM Institute of Science and Technology
- BS in Management in Data Science from IIT Madras
Alongside this, I’m building MaVionix as a Co-Founder and working across product, AI, and robotics.
This combination isn’t random.
It’s a designed system for growth.
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🧠 Two Modes of Thinking (That Rarely Exist Together)
| Mode | What I Learn | Where |
|---|---|---|
| Builder Mode | Coding, systems, execution | SRM |
| Decision Mode | Data, strategy, product thinking | IIT Madras |
Learning to Build + Learning to Decide
At SRM, my focus is clear: engineering depth.
I’m learning:
- how systems are built
- how code translates into real products
- how to work in teams and ship things
At IIT Madras, the focus shifts to:
- data-driven thinking
- management principles
- decision-making under uncertainty
Most people learn these in sequence.
I’m learning them in parallel.
That changes everything.
📊 My Learning Stack (Breakdown)
Think of my current journey like a portfolio:
Skill Distribution (Current)
Engineering (SRM) ██████████████ 45%
Data Science (IITM) ████████████ 35%
Management (IITM) ████████ 20%
Most students are 80–90% in one bucket. I’m intentionally diversifying early.
Where This Actually Shows Up
This isn’t just theory for me.
As a Co-Founder at MaVionix, I’ve worked on:
- an AI SaaS platform for SMEs
- ARAK-1, a quadruped robot for pipeline inspection
- a drone-based delivery system for remote logistics
Here’s where the dual degree becomes real:
- SRM helps me understand how to build these systems
- IIT Madras helps me decide what should be built and why
For example:
While working on the rental SaaS project (Noikix), I didn’t just think about features.
I focused on:
- defining the MVP scope
- prioritizing features based on user value
- managing a small dev team to execute efficiently
That’s not just coding.
That’s product thinking in action.
From Execution to Product Thinking
Earlier, my mindset was:
How do I build this feature?
Now it has evolved into:
Is this solving a real problem?
What metric will this impact?
Is this worth building right now?
This shift came from combining:
- technical exposure (SRM)
- analytical + management thinking (IIT Madras)
It’s a small change in questions-but a huge change in outcomes.
The Compounding Effect of Experiences
Beyond academics, my journey has been shaped by:
- Winning hackathons like Thrust Tech Expo (IIT Hyderabad) and Innovathon 1.0
- Building real-world solutions in logistics and AI
- Creating content as a YouTube creator (2.1K+ subscribers)
Each experience feeds into the other.
Hackathons improve speed.
Startup work builds ownership.
Academics build clarity.
Together, they compound.
Skill Compounding (How Everything Connects)
[ Coding ]
↓
[ Build Products ]
↓
[ Collect User Data ]
↓
[ Analyze (Data Science) ]
↓[ Make Decisions (Management) ]
↓
[ Better Product ]
This loop keeps repeating. Every cycle = improvement.
Why This is Future-Proofing
The biggest mistake students make is optimizing for a single role:
- developer
- analyst
- manager
But the future belongs to people who can operate across roles.
With this path, I’m building:
- technical skills (to build)
- analytical skills (to understand)
- product skills (to decide)
That combination creates optionality:
- Product Management
- Founding startups
- Data-driven leadership roles
I’m not locking into one path.
I’m preparing for multiple.
It’s Not Easy - and That’s Intentional
Balancing:
- two degrees
- a startup
- projects and competitions
is not smooth.
There are trade-offs:
- time is limited
- focus gets stretched
- priorities constantly shift
But that’s also where the real learning happens.
Because in reality, no meaningful career is linear or easy.
📈 How My Time is Actually Spent
Weekly Time Allocation
Academics (SRM + IITM) █████████████████ 50%
Startup (MaVionix) ███████████ 30%
Projects/Hackathons ███████ 15%
Content/Exploration ███ 5%
Looks intense? Yes.
But also optimized for maximum learning per hour.
Final Thought
This journey isn’t about stacking credentials.
It’s about becoming someone who can:
- understand problems deeply
- build solutions effectively
- make smart, data-driven decisions
IIT Madras (Management + Data Science) + SRM (CSE) = Builder + Analyst + Decision Maker
isn’t just my academic path.
It’s my way of building a mindset that can adapt, execute, and lead in any environment.
And in a world that’s constantly changing,
that’s the only real advantage that lasts.
Most people try to find the right path.
I’m trying to build the capability to create paths.
In a world of specialists,
I’m building myself to be a systems thinker who can execute.
– Vishant Bhardwaj
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