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IIT Madras Placement 2026: Courses, Statistics, and Highest Packages
Updated on 15 January 2026
location
Chennai, Tamil Nadu

With multi-crore packages exceeding ₹2 crore reported across top IITs—including strong demand at IIT Madras—and over 300 premier companies registered (including around 100 startups), the IIT Madras placement season for 2026 reflects a robust recruitment drive amid high demand for technical talent in quantitative trading, AI, software engineering, and core sectors. This annual event is more than just job offers. It serves as a barometer for industry confidence in India's technical talent, where global firms in high-frequency trading, tech giants, and domestic leaders compete aggressively for graduates in computer science, data science, AI, and engineering disciplines. IIT Madras's ability to attract diverse recruiters—from algorithmic trading firms and Silicon Valley companies to finance and consulting giants—underscores why these placement trends matter for India's higher education landscape in 2026. 

This analysis breaks down the emerging numbers that define success across programs, from B.Tech Computer Science's consistently high placement outcomes to the strong trajectories in specialized M.Tech, MS, and MBA cohorts. You'll discover sector-wise hiring patterns revealing dominance in IT/software roles alongside growing footprints in quantitative finance, high-frequency trading, and consulting. You'll also understand the frameworks for pre-placement offers (PPOs), which have driven many of the top packages. Finally, you'll examine how the Training and Placement Cell orchestrates this large-scale operation. 

Table of Contents

IIT Madras Placement: An Overview 2026

The Training and Placement Cell at IIT Madras is the central hub for career development. They build upon strong historical performance from recent years, where placement rates have consistently been high (often 80-90%+ overall, nearing 100% for top branches like CSE). The institute attracts diverse recruiters, including core engineering giants like Tata Steel, Larsen & Toubro, ISRO, and DRDO; technology majors such as Google, Microsoft, Amazon, and TCS; and consulting powerhouses like McKinsey, BCG, Bain, and Deloitte. 

Internships are essential stepping stones in this ecosystem, with summer placements often converting into pre-placement offers (PPOs) worth ₹40 lakhs to multi-crore levels annually, especially in quant finance and tech. Students receive targeted support through rigorous employability skills workshops focusing on aptitude enhancement, coding proficiency, and soft skills development. This includes resume optimization sessions and simulated interview environments. The cell's commitment ensures that graduates secure lucrative opportunities across sectors, maintaining IIT Madras's reputation as a premier talent hub for Indian and global industry. The table below presents emerging highlights of IIT Madras placement activities and outcomes for the 2026 batch:

Name

Description

Key Details

Additional Info

Placement Season Timeline

Annual recruitment drive schedule

December 2025 to May 2026

Multi-phase process covering UG and PG programs

Total Recruiting Companies

Number of unique organizations visiting campus

Over 300 registered

Includes ~100 startups/first-timers

Highest Domestic Package

Top salary offer within Indian territory

Multi-crore levels (e.g., >₹1.65 crore reported across IITs)

Often from quant trading firms (Da Vinci, NK Securities) to CSE graduates

Highest International Offer

Overseas compensation package

Exceeding ₹2 crore+ 

Singapore/USA/Europe-based roles in finance/quant sectors

B.Tech Average CTC

Mean salary for undergraduate engineering

Varies by branch; CSE ~₹53 LPA in recent trends

Overall B.Tech pulled higher by tech roles

M.Tech Average CTC

Mean salary for postgraduate engineering

~₹18-20 LPA in recent data

Core sector roles show steady demand

PPO Conversion Rate

Internships converting to full-time offers

Strong (high in quant/tech)

Major recruiters include Microsoft, Goldman Sachs, trading firms

Internship Participation

Students securing summer placements

Significant (large cohort)

Duration 8 weeks to 6 months; many lead to PPOs

Core Engineering Recruiters

Traditional manufacturing and infrastructure firms

Numerous (PSUs and private)

Includes ISRO, DRDO, Tata Motors, Schlumberger

IT and Software Recruiters

Technology and product development companies

Over 100+ tech firms

Google, Amazon, Adobe, Flipkart among top hirers

Consulting and Analytics

Management consulting and data science roles

Substantial

McKinsey, BCG, Bain, Deloitte recruited actively

Employability Training Hours

Pre-placement skill development sessions

Extensive program

Covers coding, aptitude, and communication skills

Resume Workshops

Professional profile enhancement sessions

Multiple sessions

ATS-friendly formats and LinkedIn optimization covered

Mock Interview Sessions

Simulated recruitment practice environments

Large number organized

Industry alumni and HR professionals serve as panelists

Aptitude Test Preparation

Quantitative and logical reasoning training

Regular practice tests

Partnership with platforms like CoCubes and AMCAT



IIT Madras Placement 2025: Key Highlights from Last Year

The 2025 placement season at IIT Madras continued its strong performance, reflecting robust demand for technical talent in AI, software, quant finance, and core engineering amid evolving industry needs. The Centre for Placement and Corporate Relations facilitated recruitment across B.Tech, M.Tech, Dual Degree, MBA, and doctoral programs, with high placement rates in top branches like Computer Science (often 90%+). This drive featured participation from 250+ organizations, including tech giants, quant firms, startups, and PSUs. The highest compensation package reached INR 4.3 crore per annum (via pre-placement offer). Overall average packages varied by program/branch, with medians around INR 17-22 LPA (higher in CSE at ~INR 46 LPA median). 

International opportunities grew in regions like the US, Singapore, and Hong Kong. Comparing these with prior seasons like 2023-24 shows sustained strength and upward salary momentum in high-demand domains. The table below presents approximate historical placement trends for IIT Madras:

Year

Total Students Placed

Number of Companies Visited

Highest Package

2025

Significant cohort

250-300+ (tech, quant, startups dominant)

INR 4.3 Crore per annum (Jane Street PPO to CSE student, international role)

2024

~1,091 students across programs

~256 companies

Multi-crore levels (e.g., >INR 1-2 Crore in quant/tech PPOs)

2023

~1,200+ offers in strong cycle

250-480+ varying reports

~INR 1.31 Crore+ (tech/quant firms)

2022

High placement amid recovery

~260+

~INR 1.0-2 Crore range (e.g., Atlassian, others)

2021

Solid post-pandemic outcomes

~240+

~INR 80 Lakhs+ (Amazon, Microsoft)

2020

Adapted to online modes

~250

~INR 85 Lakhs (Microsoft, others)

2019

Strong traditional/core demand

~265

~INR 95 Lakhs (Uber, Goldman Sachs)

2018

IT/core focus

~230

~INR 75 Lakhs (Samsung, etc.)

2017

Manufacturing/IT services

~210

~INR 70 Lakhs (Google India)

2016

Domestic/MNC balance

~195

~INR 65 Lakhs (Adobe)

2015

Engineering streams

~180

~INR 60 Lakhs (Yahoo)

2014

Baseline structured drives

~165

~INR 55 Lakhs (Google India)

IIT Madras Placement B.Tech Placements 2026

The B.Tech placement landscape at IIT Madras for 2026 reflects strong industry demand disparities across engineering disciplines, with technology-driven branches leading in compensation and participation amid ongoing recruitment. Computer Science and Engineering (CSE) continues to dominate with high placement success and premium packages. Emerging areas in AI, data science, and interdisciplinary tech show robust trajectories, frequently outpacing traditional core branches in salary benchmarks. Core engineering departments maintain solid traction through recruiters in manufacturing, infrastructure, PSUs, and R&D. The comprehensive departmental overview for the 2026 placement cycle illustrates these trends based on emerging patterns and recent data:

Department

Total Students (approx.)

Students Placed (indicative)

Placement Percentage (trends)

Highest Package (emerging trends)

Computer Science and Engineering

~110-120

High cohort

Often 90%+

Multi-crore (e.g., >₹2 Cr+ in quant/tech PPOs across IITs)

Mathematics and Computing

~90-100

High

Strong (near CSE levels)

High (quant/finance roles, ~₹1-2 Cr+ possible)

Electrical Engineering

~100-110

Substantial

~85-90%+

Up to multi-crore in select roles

Mechanical Engineering

~100

Good

~80-90%

₹1-1.5 Cr+ in top offers

Chemical Engineering

~80-90

Solid

~80-90%

Competitive in core/energy

Civil Engineering

~70-80

Steady

~80-85%

Infrastructure-focused

Aerospace Engineering

~60-70

Consistent

~80-85%

R&D/aviation roles

Engineering Physics

~50-60

Niche

~80%+

Research/tech

Biotechnology

~30-40

Targeted

~80%+

Biotech/pharma

Metallurgical & Materials

~40-50

Specialized

~75-85%

Materials/ manufacturing

Naval Architecture & Ocean Engineering

~30-40

Niche

~70-80%

Maritime/specialized

The departmental trends reveal a clear hierarchy in outcomes. Computer Science and Engineering leads with consistently high placement rates (often 90%+ historically) and strong averages. This draws aggressive hiring from Google, Microsoft, Amazon, Goldman Sachs, and quant firms. 

Mathematics and Computing performs robustly, fueled by demand for quantitative skills in finance and analytics. Core branches demonstrate resilience: Electrical Engineering secures strong outcomes via recruiters like Texas Instruments, Qualcomm, and Samsung R&D. Mechanical Engineering holds steady with core giants such as Tata Motors, Larsen & Toubro, and Mercedes-Benz. 

Chemical Engineering benefits from energy/infrastructure players like Reliance and Shell. Civil placements focus on majors like L&T and Shapoorji Pallonji. Aerospace sees targeted recruitment from ISRO, DRDO, Boeing, and Airbus despite smaller cohorts. Interdisciplinary/emerging tech areas achieve high success, reflecting adaptation to AI, data, and Industry 4.0 needs. Variations arise from sector demand—software/analytics/quant aggressive vs. capital-intensive core steadier (often PSU/government). Niche departments like Naval Architecture and Metallurgical secure specialized roles despite lower volumes. Smaller batches enable focused opportunities.

IIT Madras Placement M.Tech Placements 2026

The Master of Technology programs at IIT Madras continue to demonstrate strong industry relevance in the 2026 placement season.  Specialized postgraduate engineering tracks attract recruiters from technology, semiconductors, energy, manufacturing, and emerging sectors like AI and data analytics. Unlike undergraduate placements, M.Tech recruitment prioritizes advanced technical expertise, research skills, and domain knowledge. The following table presents indicative placement trends across select M.Tech specializations, based on recent data and ongoing patterns:

Specialization

Total Students (approx.)

Students Placed (indicative)

Highest Package (emerging trends)

Computer Science and Engineering

~50-80

High (often 90-100%)

Up to ₹50-60+ LPA in top roles

VLSI Design / Microelectronics

~60-80

Strong

Competitive (₹40-60+ LPA possible)

Data Science / AI-related

Varies (interdisciplinary)

Robust

High in analytics/tech

Electrical Engineering (incl. Power/Communication)

~60-70

Solid

~₹40-50 LPA in select cases

Mechanical Engineering (incl. Thermal)

~50-70

Consistent

~₹20-30 LPA

Chemical Engineering

~40-60

Steady

Core/energy-focused

Civil / Structural Engineering

~40-50

Targeted

Infrastructure roles

Aerospace Engineering

~30-40

Niche

R&D/aviation

Biotechnology

~30-40

Specialized

~₹15-25 LPA in pharma/research

 

Delving deeper into specialization-specific performance, Computer Science and 

Engineering emerged as the standout performer with an average package of INR 32 LPA. This attracted technology giants including Google India, Microsoft, and Amazon alongside domestic leaders like Flipkart and Ola Electric. The VLSI Design specialization demonstrated consistency, securing an average compensation of INR 26 LPA with semiconductor majors Texas Instruments, Intel India, and Qualcomm recruiting heavily for chip design roles. Thermal Engineering graduates found demand within automotive and energy sectors, with Tata Motors, Mahindra & Mahindra, and Reliance Industries offering average packages of INR 18 LPA.

 

Electrical Engineering maintained recruitment across power and electronics domains, averaging INR 22 LPA with recruiters like ABB India, Siemens, and Bharat Heavy Electricals. Mechanical Engineering specializations averaged INR 19 LPA, supported by core manufacturing firms including Larsen & Toubro, Godrej, and Ashok Leyland. Biotechnology, while recording a lower average of INR 14 LPA, benefited from recruitment by Dr. Reddy's Laboratories, Biocon, and Serum Institute of India, reflecting the sector's specialized but stable demand. 

 

Data Science and Artificial Intelligence specializations bridged the gap between core engineering and software, averaging INR 30 LPA with recruiters like Deloitte India and KPMG alongside tech companies. These variations underscore the importance of aligning specialization choices with both market demand and personal career objectives. 

IIT Madras Placement MBA Placements 2026

The Master of Business Administration (MBA) program at IIT Madras, offered through the Department of Management Studies (DoMS), continues to be a strong choice for management education in India, with solid placement outcomes emerging for the 2026 batch. Recent cycles show consistent 100% placement rates, with averages around ₹17-18 LPA and medians similarly positioned, reflecting steady upward trends driven by demand for tech-savvy managers. Graduates secure roles across consulting, finance, technology, operations, and marketing, with top recruiters including Deloitte India, Accenture, McKinsey India, Boston Consulting Group, TCS, Infosys, HDFC Bank, ICICI Bank, Goldman Sachs India, and Amazon India.

The program's integration of technical rigor, data-driven decision-making, industry projects, case studies, and live assignments prepares students for business challenges in digital transformation and analytics-heavy environments. Consulting and general management domains lead recruitment, followed by finance, analytics/IT, marketing/sales, and emerging e-commerce/operations roles. The Chennai location facilitates strong ties to South India's industrial and tech hub. The following table presents approximate year-wise average package trends for IIT Madras MBA placements:

Year

Average Package

2021

~₹16-17 LPA

2022

~₹18-19 LPA

2023

~₹19-20 LPA

2024

~₹16.9-17 LPA

2025

₹17.9 LPA

2026 (emerging)

Likely similar/upward (~₹18+ LPA)

2026 (indicative Finance/Consulting focus)

Higher in top domains (~₹20-25 LPA range)

2026 (indicative Marketing/Operations)

Competitive (~₹18-22 LPA)

2026 (indicative Analytics)

Strong (~₹20-24 LPA)

The placement statistics from recent years reveal gradual growth in compensation for IIT Madras MBA graduates. If you aspire to join the 2026 batch or later, prioritize building quantitative skills, communication, case interview prep, and relevant internships to optimize outcomes in this competitive landscape. Early focus on domain knowledge and networking remains key for consulting, finance, and tech recruiters.

IIT Madras Placement B.Sc. Data Science Placements 2026

The Bachelor of Science (BS) in Data Science and Applications program at IIT Madras has gained popularity for its accessibility and focus on building strong foundations in statistics, programming, machine learning, and big data technologies. This equips learners for roles in the growing data-driven economy. With AI and analytics adoption rising across Indian industries, graduates pursue opportunities in decision-support, predictive modeling, and tech roles, often in Bangalore, Hyderabad, Mumbai, and beyond. Placements are facilitated through the program's dedicated Industry Interaction Cell (IIC), with many students also succeeding via self-applications, internships, or higher studies. 

Recent trends show median full-time salaries around ₹8-10 LPA through IIC, with highs up to ₹15-25 LPA in select cases. Top recruiters and partners include TCS, Infosys, Wipro, Deloitte India, Accenture, KPMG, Fractal Analytics, Mu Sigma, Tiger Analytics, LatentView, and various startups/AI firms, valuing proficiency in Python, R, SQL, Tableau/Power BI, ML frameworks, and data communication. Opportunities span IT services, banking analytics, e-commerce, healthcare, supply chain, and consulting, with pathways to growth in India's digital sector. The placement landscape for the 2026 batch highlights practical outcomes, though not at premium levels seen in on-campus B.Tech programs. 

Category/Program Aspect

Approximate Insights (Recent Trends)

Notes/Additional Info

Overall BS Data Science Cohort (eligible for placements)

Thousands enrolled (large/flexible intake)

Many pursue dual degrees/higher studies; placements via IIC/self

Full-Time Job Median Package

~₹8-10 LPA

From IIC-facilitated roles (2025 data: ~₹8.09 LPA median)

Highest Package (IIC/on-program)

Up to ₹15-25 LPA

Select cases; higher off-campus possible (unverified claims to ₹50+ LPA rare)

Placement Success (IIC/on-program)

~60% (some reports)

Higher (~80-90%) including off-campus/self-placed

Top Roles

Data Analyst, BI Developer, Junior Data Scientist

Entry/mid-level; ML engineer roles competitive

Key Recruiters

TCS, Infosys, Deloitte, Accenture, Fractal, Mu Sigma, Tiger Analytics

Mix of IT services, analytics firms, startups

Internship Stipends (indicative)

~₹20,000-60,000/month

Available earlier in program

 

IIT Madras Placement Highest Package 2026

The placement season at IIT Madras serves as a key indicator of demand for India's top engineering talent. The 2026 cohort has seen strong early momentum, with multi-crore packages reported from quantitative trading, high-frequency trading (HFT), and tech firms. High-value offers often come via pre-placement offers (PPOs) for international roles in quant research, software development for trading systems, or AI/ML infrastructure. These reflect aggressive competition for specialized skills in algorithmic trading, AI, and core tech optimization. Trends show packages exceeding ₹2 crore from firms like Da Vinci Derivatives, with others such as NK Securities (~₹1.65 crore), Rubrik (~₹1.49 crore), and more in the ₹1 crore+ range. This builds on prior highs, like Jane Street's ₹4.3 crore PPO to an IIT Madras student in the 2024-2025 cycle (Hong Kong role). 

The upward trajectory highlights industry focus on technical expertise in machine learning, cloud architecture, quantitative modeling, and high-performance systems. Securing such compensation demands more than strong academics. Top candidates typically feature exceptional CGPA (often >9.0), relevant internships, open-source contributions, research publications, and demonstrated impact in competitive coding or projects

The ₹2 crore+ milestone across IITs signals a shift toward premium pay for niche talent as global firms expand India-based or international development centers in AI, fintech, and trading tech. For students, this underscores the value of building deep expertise in high-demand domains like generative AI, quantitative finance, and scalable systems alongside academics and extracurriculars. As recruiters prioritize proven contributors, opportunities will likely grow, rewarding those who align skills with emerging market needs.

IIT Madras Placement Training and Placement 2026

The Training and Placement (T&P) Cell at IIT Madras is the bridge between academic excellence and professional success, orchestrating the recruitment ecosystem for students across all programs.

This dedicated cell operates year-round to ensure career support, maintaining relationships with over 320 recruiters including TCS, Infosys, Microsoft India, and Deloitte India.

Beyond coordinating interviews, the cell prepares students through skill development initiatives, ensuring they meet industry standards. Their approach includes organizing pre-placement talks and feedback mechanisms.

The cell's commitment reflects in placement statistics, with the 2026 season witnessing participation from sectors including IT, consulting, and core engineering.

The T&P Cell conducts preparatory programs designed to strengthen employability and ensure readiness for recruitment processes.

  • Resume Building Workshops: HR professionals from Amazon India and Flipkart train students on ATS-friendly formats and project highlighting techniques.
  • Mock Interview Sessions: Alumni from Google India and Goldman Sachs conduct simulated technical and HR interviews with detailed feedback.
  • Aptitude and Technical Tests: Weekly assessments cover quantitative ability, logical reasoning, and domain-specific coding challenges for preparation.
  • Pre-Placement Talks: Representatives from 320+ visiting companies present organizational culture and role expectations before recruitment begins.
  • Company-Specific Training: Specialized coding bootcamps for product firms and case study workshops for consulting recruiters.
  • Soft Skills Development: Programs focus on business English proficiency and professional etiquette essential for client-facing roles.
  • Industry Expert Sessions: C-level executives from startups and corporations share insights on emerging technologies and market trends.
  • Internship Coordination: Structured programs converted over 450 PPOs in 2026 from companies like Deutsche Bank and Adobe India. 

Frequently Asked Questions

Q1. What is the highest package offered at IIT Madras in 2026?

The highest salary package reported for IIT Madras placements recently was around ₹4.3 Crore (including PPOs) in the 2025–26 season, with some multi-crore offers by top recruiters.

Q2. Which B.Tech branch has the best placement percentage at IIT Madras in 2026?

Among B.Tech branches, Computer Science & Engineering (CSE) leads in placements with one of the highest placement rates and lucrative packages compared to other branches.

Q3. What are the MBA placement statistics at IIT Madras for 2026?

IIT Madras MBA (DoMS) recorded 100% placement, with the highest package around ₹37.6 LPA and an average roughly ₹22.7 LPA in the latest cycle.

Q4. How does the M.Tech Data Science program perform in placements at IIT Madras?

Students from data-science–oriented M.Tech specializations (primarily within CS/AI/analytics streams) consistently secure strong outcomes, typically aligning with IITM’s broader M.Tech tech-domain averages of ₹25–29 LPA. This reflects healthy demand for data and AI roles, even though program-specific figures aren’t released.

Q5. What is the placement record for B.Sc. Data Science at IIT Madras in 2026?

For the BS Data Science/related B.Sc programmes, placement trends are still emerging; current figures suggest moderate placements with packages below the top B.Tech levels as it is a newer interdisciplinary course.

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