MAS102
MAS102 · Placement Mastery
In 3-6 months, become a
Data & AI Engineer
Choose your track
Data & AIData and AI
SDESoftware Development
ProductProduct & Consultancy
Data Scientist · ML Engineer · Data Analyst
Microsoft · Meta · Amazon · Myntra
95%
Placement rate
1000+
IIT alumni mentors
3-6
Months
No obligation
Choose Your Specialisation
One placement programme, three tracks. Pick the one that matches the roles you want to interview for.
SELECTED
MAS102 IN
Data and AI
Go from SQL and Python to machine learning models deployed on real data.
SQL, Python and statistics
Machine learning & deep learning
Dashboards with Power BI
MLOps and model deployment
Target Roles
TRACK 02
MAS102 IN
Software Development Engineering
Build production-grade systems — data structures, backend engineering and system design.
DSA + problem solving
Backend & REST APIs
Databases and system design
Cloud and deployment basics
Target Roles
TRACK 03
MAS102 IN
Product and Consultancy
Structure ambiguous problems, drive metrics and communicate like a consultant.
Product sense & metrics
Case frameworks and guesstimates
SQL for product analytics
Roadmaps and stakeholder comms
Target Roles
Course Timeline
Data and AI
Software Development
Product & Consultancy
Weeks 1–2
Month 1 — Foundations
Computational thinking
Python basics (syntax, control flow, functions)
Data structures (lists, dicts, strings)
Debugging
Weeks 3–4
Month 1 — Foundations
OOP fundamentals
Clean coding
Git & version control
Intro SQL (SELECT, JOIN basics)
Basic statistics (descriptive, probability intro)
Deliverable:
Python + Git mini project
Weeks 5–6
Month 2 — Data Handling & EDA
SQL (JOIN, GROUP BY, subqueries)
Data cleaning
Missing values, preprocessing
Weeks 7–8
Month 2 — Data Handling & EDA
Exploratory Data Analysis
Visualization
Feature basics
Deliverable:
EDA + SQL analytics project
Weeks 9–10
Month 3 — Machine Learning
Regression (Linear, Ridge, Lasso)
Classification (Logistic Regression, Decision Trees)
Weeks 11–12
Month 3 — Machine Learning
Random Forest, Gradient Boosting
Model evaluation (ROC, AUC, metrics)
Cross-validation & tuning
Deliverable:
Supervised ML project
Weeks 13–14
Month 4 — Deep Learning + Data Engineering
Neural networks (MLP, backpropagation)
TensorFlow / PyTorch
Regularization & debugging
Weeks 15–16
Month 4 — Deep Learning + Data Engineering
CNNs & transfer learning
Transformers (conceptual + BERT/GPT overview)
Data pipelines & ETL basics
Deliverable:
Deep learning model + basic pipeline
Weeks 17–18
Month 5 — Generative AI
LLM fundamentals (tokens, embeddings)
Prompt engineering
Reasoning techniques
Weeks 19–20
Month 5 — Generative AI
RAG (vector DB, retrieval)
Memory systems
Agent workflows (tool use, planning)
Deliverable:
GenAI application (RAG or agent-based)
Weeks 21–22
Month 6 — Deployment & Career
Docker
FastAPI
Model serving
Weeks 23–24
Month 6 — Deployment & Career
Monitoring & inference basics
Portfolio building
Resume + mock interviews
Final Deliverables:
Deployed ML/GenAI project
GitHub portfolio
Technical documentation
3-6
Month Duration
450+
Study Hours
95%
Placement Rate
1000+
IIT Mentors
Triumph Tales
Hear directly from our students as they share their incredible transformation journeys and career breakthroughs.
Our Alumni's Triumph
Meet Our Mentors
Alumni Testimonials
Animesh Sharma
IIT Roorkee
Associate Consultant
Joining MAS was transformative for my career, providing a comprehensive curriculum that covered both technical and soft skills, preparing me for the industry. Structured learning, alongside expert mentorship, fostered confidence and growth. Securing a position with a leading firm, I owe my success to MAS, a true gateway to achieving dreams in analytics.
Mayank Monani
NIT Trichy
Decision Science Assosiate
I remember how naive I was before enrolling in MAS. Thanks to the MAS community and the environment created, it boosted my tech skills and also helped me in improving my communication. All of test series and practice sessions were very structured. The mock interviews resembled actual interview, which helped me reduce my anxiety and increase confidence. All these points where enough for me to crack my dream company.
Shuruti Pandey
IIT BHU
Risk Analyst
On Day 1 of MAS101, feeling scared and clueless, I sought guidance. My Analytics School led me to confidently declare by November 30th, I will have an offer letter tomorrow.’ Their comprehensive curriculum covered essential topics without overwhelming us, fostering a competitive yet supportive environment. This journey made joining MAS one of the best decisions of my life.
Deepanshu Mahajan
IIT Madras
Data scientist
My experience has been phenomenal. MAS provided me a structured way of learning and the support I needed during this placement season. Thanks to that, I was able to give my 100 percent to the placement process, mastering key skills in Python, SQL, machine learning, interview techniques, and effective resume building. This comprehensive approach greatly contributed to my success.
Everything included
Our Offerings
Four pillars that take you from preparation to a signed offer letter.
Training and Upskilling
Get hold of the perfect placement preparation strategy in order to get an edge over others by our extensive practice tests, company-specific tests, courses, projects and regular discussions.
1:1 Mentorship
This program will help you connect with an appropriate mentor to provide you guidance, support, encouragement, and growth in a competitive environment.
Interview Preparation
Learn to draft a winning resume, present it in a curated manner and ace the job placements with our mock interviews and GD sessions.
Off-Campus Placement
Off Campus placement is also in the books. Get connected to the emerging market opportunities via our HR pipeline. We are here to assist.
Designed to Take Students from Classroom to Career
Learn concepts, practise with real assessments, and get guided by industry mentors — all in one journey.
MR Mentor
Get interview-ready with MR Mentor
1:1 resume reviews, mock interviews, and industry feedback.
MR Learn
Learn with MR Learn
Structured skill clusters with IIT-friendly pace and live doubt support.
MR Test
Prove your skills with MR Test
Role-based tests, clear scorecards, and badges that unlock job eligibility.
MR Hire
Access opportunities via MR Hire
High-readiness profiles are shared with off-campus hiring partners.
Hands on Industry Projects
Unlock 30+ industry projects in SQL, Python, ML, and Excel 🚀
Get step-wise walkthrough, Potential questions and completion certificate 🏅
QUESTIONS
Frequently asked questions
What is the course duration?
MAS102 is a 3-6 month intensive program with 450+ hours of structured learning. The exact duration depends on your learning pace and placement timeline. Most students get placed within 4-5 months from enrollment.
Is there placement support?
Yes! MAS102 comes with guaranteed 6-month placement support. We provide dedicated placement manager, 20+ mock interviews with recruiters from FAANG companies, interview prep, and career guidance. Our 95% placement rate shows our students succeed with this comprehensive support.
What is the pricing and payment options?
Fees, current offers and EMI options are shared by our team on a quick call, along with the curriculum and batch dates for the track you pick. Request a callback above and we'll walk you through the plan that fits you. You're also covered by our 7-day money-back guarantee, so there's zero risk in starting.
Which companies hire MAS102 graduates?
MAS102 graduates are hired by 250+ companies including Google, Amazon, Microsoft, Meta, Netflix, Uber, Flipkart, Swiggy, Zomato, and many Fortune 500 companies across Data Science, Analytics, Product Management, and Backend roles.
What is the average salary (CTC)?
Our students get placed with average CTCs ranging from ₹12-30 LPA depending on the track: Data Science (₹18-28 LPA), Data Analytics (₹12-22 LPA), Product Management (₹15-26 LPA), and Backend/SDE (₹18-30 LPA).
Do I need coding experience?
No! The program is designed for beginners. We start from basics - SQL, Excel, Python fundamentals - and progressively build up to advanced concepts. Our mentors guide you through each step with personalized support.
How many live sessions will I get?
You'll have weekly live sessions with 1000+ IIT Alumni mentors covering technical concepts, career guidance, and mock interviews. Plus, you get 1-on-1 mentorship for personalized doubt-clearing and progress tracking.
What are the 3 learning platforms?
We provide three integrated platforms: Learn @MAS (comprehensive curriculum with videos, notes, and exercises), Interview @MAS (weekly mock interviews with real recruiter feedback), and Test @MAS (practice tests, assignments, and assessments).
What if I don't get placed within 6 months?
MAS102 provides guaranteed 6-month placement support with a dedicated placement manager. While we can't guarantee a job, we guarantee full support - mock interviews, resume reviews, interview coaching, and job applications. Our 95% placement rate shows how effective this support is. We continue backing you throughout your journey.
Can I work while doing MAS102?
Yes! MAS102 is flexible. With 450+ study hours spread over 3-6 months, you can balance it with part-time work or internship. Many students do the program while working. Our async materials + live sessions allow flexibility.
What if I want to switch tracks after starting?
You can switch between tracks (Data Science, Analytics, Product, Backend) during the program based on your interest and aptitude. We provide career counseling to help you choose the right path that aligns with job market demand.
Do you provide certification?
Yes! You get industry-recognized certifications after completing the program. These certifications are verified and hold value with recruiters. You also build a project portfolio with 20+ real-world projects that showcase your skills.
What is the 7-day money-back guarantee?
Start MAS102 completely risk-free! If you're not satisfied within the first 7 days of enrollment, get 100% refund of your fees - no questions asked, no conditions. We're confident in our curriculum quality and teaching, but your satisfaction is guaranteed. This removes all enrollment risk!
How do I enroll? What is the process?
Simply click 'Enroll Now' on our website, fill out your details, and get access to a strategy call with our placement manager. They'll assess your background, discuss your career goals, and create a personalized learning plan for you.
Ready to start your placement journey?
Tell us where you are today and our team will map out the right track, batch and timeline for you.
+91 9604077455
admin@myanalyticsschool.com
