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Placements are looked at not just as ends but as an integral part of the learning and career development of the student. Preparation for careers at the institute is more of a continuous process, starting from the early stage of the student life with progressively building of technical, analytical, communication, research, and industry-relevant skills over the period of education at the institute.
| Ranking Category | Agency / Ranking Body | Rank / Band / Position | Year / Source |
|---|---|---|---|
| Engineering Education | Government of NCT of Delhi | State-Funded Engineering Institute | Ongoing |
| University Affiliation | Guru Gobind Singh Indraprastha University | Affiliated Engineering College | Ongoing |
| Technical Education | Academic Reputation | Known for Electronics, ICT, and Computer Engineering Programs | Ongoing |
| Delhi NCR Engineering Institutes | Regional Recognition | Established Public Engineering Institution | Ongoing |
| Research & Innovation | Institutional Recognition | Focused on Communication Technologies and Applied Research | Ongoing |
AIACTR boasts of robust placement statistics across Computer Science engineering, Information Technology, Electronics & communication engineering, AI, data science and related technology branches. The curriculum provided is in sync with industry requirements. Also, the technical learning, training and the focus on innovation are very helpful in placing the students in top firms across the globe.
In order to prepare the students well for professional careers ahead the Training & Placement cell organizes various activities during the academic session:
| Category | Details |
|---|---|
| Placement Rate | 80-90% (approx., can vary across branches) |
| Highest Package | 45-60 LPA (approx., depends on year, varies across branches) |
| Average Package | 6-9 LPA |
| Common Roles | Software Engineer, Data Analyst, Systems Engineer, AI/ML Associate, Electronics Design Engineer |
| Recruiters | 100+ companies in technology, consulting and engineering domains |
Placement statistics over the last few years shows a steady increase in the recruiters visiting the college, job opportunities, and placements across the engineering and technology fields, and with an expectation of further increase considering the recent job market dynamics.
| Year | Highest Package | Average Package | Companies Visiting |
|---|---|---|---|
| 2023 | 45+ LPA | 6.5 LPA | 90+ |
| 2024 | 50+ LPA | 7.5 LPA | 100+ |
| 2025 | To be announced | Expected improvement | Ongoing |
This steady growth is attributed to the increase in demand for professionals in the field of software, the advent of Artificial Intelligence & Data Science, strong relationships between college and industries, and an influx of recruiters seeking talent.
| Program | Average Package | Top Package |
|---|---|---|
| Computer Science Engineering | 8-10 LPA | 60+ LPA |
| Information Technology | 7-9 LPA | 45+ LPA |
| Electronics & Communication Engineering | 6-8 LPA | 35+ LPA |
| Artificial Intelligence & Data Science | 8-10 LPA | 50+ LPA |
| Internship Opportunities | Stipend based; depends on role/ company | Higher as compared to stipend-based roles |
Programs relating to computer science, artificial intelligence, information technology and software engineering have the most competitive performance in the placement drive because of higher demand in the job market for these roles.
| Branch | Placement Rate | Average Salary |
|---|---|---|
| Computer Science & AI | 85-90% | 8-10 LPA |
| Information Technology | 80-90% | 7-9 LPA |
| Electronics & Communication Engineering | 75-85% | 6-8 LPA |
The consistent high performance of the branches of computer science, AI and information technology indicate a continuous trend of placement.
The placement is facilitated through the Training and Placement cell where programs are run to guide students with internships, placement drives, career counseling, aptitude and coding training, interview preparation etc.
AIACTR generally sees 80-90% placement across its engineering and technology programs based on a variety of market conditions and student performances.
Students at AIACTR can expect average placement packages between 6-9 LPA, whereas a student's talent and skills may fetch an offer ranging anywhere from 45-60 LPA or more.
Some common recruiters at AIACTR include tech giants like Google, Microsoft, Amazon, Adobe, Oracle, product development companies such as Samsung, Cisco, Paytm, consulting firms such as Deloitte, Accenture, etc., as well as telecom companies like Ericsson, Nokia and HCL technologies along with several startups and emerging ventures.
