Department of Computer Science and Engineering, IIIT Delhi

What Department of Computer Science and Engineering, IIIT Delhi does

The Department of Computer Science and Engineering at IIIT Delhi is an academic department within the Indraprastha Institute of Information Technology Delhi (IIIT Delhi), a government-funded technical university established in 2008 by the Government of Delhi. The department offers undergraduate (BTech), postgraduate (MTech/MSc), and PhD programs in computer science and engineering, plus a sponsored PhD pathway for working professionals. It serves undergraduate students, postgraduate and doctoral researchers, working professionals pursuing sponsored doctorates, and the broader research community and industry partners. Its core "products" are educational programs and 13 specialized research labs covering cryptography (CRG), numerical algorithms for ML (Cross-Caps), distributed computing for ML (DCLL), computer graphics and VR/MR (GRG), human-machine interaction (HMI), high-performance computing (HiPeC), knowledge graphs (KRaCR), social media misinformation (LCS2), multimodal digital media (MIDAS), mobile and ubiquitous computing (Mélange), program analysis, computer vision and signal processing (ViMS), and quantum algorithms (BraQIIIT). Adjacent offerings include a 117-course curriculum covering advanced algorithms, computer vision, IoT, machine learning, operating systems, and affective computing.

The department's research architecture spans AI/ML, cryptography, computer graphics, HCI, distributed systems, mobile computing, and quantum computing, with 17 formal PhD research areas including deep learning, NLP, computer vision, ML for speech/audio, neuromarketing, mobile systems, network security, and wireless/mobile computing. Notable publications appear at venues including ICCV, WACV, ICME, TIP, TCSVT, and TCSS. Industry collaborations include the Infosys Centre for Artificial Intelligence (hosting Cross-Caps and KRaCR Labs) and a 2023 $25,000 grant from Accenture Labs to LCS2 Lab for AI-based misinformation detection. Government of India research support flows through the Science and Engineering Research Board (HMI Lab) and other agencies (UGC, CSIR, DST, DBT).

The business model is non-commercial. Revenue sources are government grants (MHRD/UGC/State), regulated student tuition, and externally funded research grants and fellowships. There is no commercial pricing model, and student tuition is set under government norms. PhD students receive institute-funded fellowships (Rs. 31,000–35,000/month based on year of study) along with contingency grants and travel support. Application fees are Rs. 150 for SC/ST/PD candidates and Rs. 300 for others. The department operates as a public higher-education unit rather than a venture-scale business, and standard commercial performance metrics are not directly applicable to its operations.

Name

Department of Computer Science and Engineering, IIIT Delhi

Legal name

Department of Computer Science and Engineering, IIIT Delhi

Website

https://cse.iiitd.ac.in

Company type

Private

Founded year

2008

Operating status

Operating

Headcount range

11–50 employees

Short description

The Department of Computer Science and Engineering at IIIT Delhi is a government-funded academic unit offering undergraduate, postgraduate, and PhD programs, supported by 13 specialized research labs spanning AI/ML, cryptography, computer graphics, HCI, and quantum computing.

Ownership category

akta.pro rank

Product category

Higher Education in Computer Science and Engineering

NAICS

Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology) (541715)

SIC

Services-Commercial Physical & Biological Research (8731)

akta.pro primary industry

Technical Universities with Computing, Data & AI Focus (EDAHAEAK)

akta.pro secondary industries

Institutes of Technology (IoT / Technical Universities) (EDAHAEAC), Emerging Tech & Specialized Computing (IoT, Edge, AR/VR, Blockchain, HPC) (EDABAFAO)

Keywords

• Computer science education
• Higher education research
• Graduate engineering programs
• Computer science research
• Doctoral computer science

Headquarters

HQ city

New Delhi

HQ country

India

HQ region

Asia

Offices1 record

Markets served

GTM type

B2C

Offering type

Services

Cost components

Personnel, Technology or R&D, Infrastructure, Operations, Others

Revenue model

1. Academic Tuition and Fee Revenue: Revenue generated from undergraduate and postgraduate programs through tuition fees paid by students.
2. Government Funding (MHRD/UGC): Publicly funded institution receiving recurring government grants from Ministry of Human Resource Development and University Grants Commission for operating expenses, infrastructure, and research.
3. Research Grants and Fellowships: External funding from government agencies (UGC, CSIR, DST, DBT) and industry partners supporting PhD students and faculty research.

Distribution channels2 records

Marketing channels4 records

Core offering

The Department of Computer Science and Engineering at IIIT Delhi delivers undergraduate (BTech), postgraduate (MTech/MSc), and doctoral (PhD) education in computer science and engineering, supported by 13 specialized research labs and a 117-course catalog. It conducts advanced research across AI/ML, cryptography, computer graphics, HCI, distributed systems, multimedia analysis, mobile computing, and quantum algorithms, and collaborates with industry partners such as Infosys (Infosys Centre for AI) and Accenture Labs.

Product overview

The Department of Computer Science and Engineering at IIIT Delhi is an academic institution offering undergraduate, postgraduate, and PhD programs. Its product portfolio comprises 13 specialized research labs (CRG, Cross-Caps, DCLL, GRG, HMI, HiPeC, KRaCR, LCS2, MIDAS, Mélange, Program Analysis Group, ViMS, and BraQIIIT) focused on areas including cryptology, distributed computing, computer graphics, human-machine interaction, knowledge graphs, multimedia analysis, quantum algorithms, and visual media. The department offers a PhD program with 17 research areas covering NLP, computer vision, deep learning, speech/audio processing, and mobile systems. Additionally, it provides a course catalog of 117 specialized courses spanning advanced algorithms, machine learning, computer vision, IoT, and operating systems. Research labs collaborate with industry partners like Accenture Labs and operate under the Infosys Centre for Artificial Intelligence.

Differentiator

Problem solved

Functional benefit

Brands

• LCS2 Research Lab: Research laboratory focused on AI-based social media misinformation detection, virality and claim analysis
• CRG Lab
• Cross-Caps Lab
• DCLL Lab
• Graphics Research Group (GRG)
• HMI Lab
• HiPeC Lab
• KRaCR Lab
• MIDAS Lab
• Mélange Lab
• Program Analysis Group
• ViMS Lab
• BraQIIIT Lab

Products and services

• PhD Program in Computer Science and Engineering
• BTech Program in Computer Science and Engineering
• MTech/MSc Program in Computer Science and Engineering

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

AI capability12 records

Feature13 records

Partnerships

One partnership is on record.

• InfosyscoreStrategic or Co-development PartnerInfosys Centre for Artificial Intelligence at IIIT Delhi hosts multiple CSE department research labs including Cross-Caps Laboratory and KRaCR Lab. The partnership provides a dedicated research focus area in AI with industry engagement.

Scale indicators5 records

Recent moves5 records

Expansion highlights6 records

Direct peers

• Department of Computer Science and Engineering, IIT Delhi: The CSE department at IIT Delhi is the closest peer — same city (Delhi), same discipline (CSE), same degree offerings (BTech/MTech/PhD), and competing for the same national applicant pool and faculty talent. IIT Delhi is the gold-standard public comparator.
• Department of Computer Science and Engineering, IIT Kanpur: IIT Kanpur CSE shares the same degree structure and competes in similar research areas (AI, systems, theory), making it a like-for-like peer for research output and applicant quality comparisons.
• Department of Computer Science and Engineering, IIT Madras: IIT Madras CSE offers overlapping programmes (BTech/MTech/PhD), deep AI/ML and systems research labs, and competes for the same top-tier faculty and PhD applicants as IIIT Delhi.
• Department of Computer Science and Engineering, IIT Bombay: IIT Bombay's CSE department is widely regarded as India's strongest CS research department, with comparable lab-based research structures, PhD programmes, and AI/ML/systems research areas — the primary national benchmark for IIIT Delhi.
• IIIT Bangalore: IIIT Bangalore is a same-system (IIIT) peer with a CS-focused curriculum and Bangalore tech-industry ecosystem, competing for similar faculty and industry-funded research partnerships.
• Department of Computer Science and Automation, IISc Bangalore: IISc's CSA department is among India's strongest CS research departments, with a research-intensive focus (PhD and MSc Eng) that directly competes with IIIT Delhi CSE for top research faculty and PhD candidates.
• Department of Computer Science and Engineering, IIT Kharagpur: IIT Kharagpur CSE has comparable scope in undergraduate and postgraduate CS programmes and active AI/ML/systems research, drawing from the same national applicant pool.
• IIIT Hyderabad: IIIT Hyderabad is the most established and research-intensive institute within the IIIT system, with a strong CS-focused curriculum and research output — a direct same-system peer and the institutional benchmark IIIT Delhi is implicitly measured against.

Broad incumbents

• Department of Computer Science and Information Systems, BITS Pilani: BITS Pilani's CS department offers overlapping undergraduate and postgraduate programmes and competes for the same engineering applicant pool, though it operates as a private deemed university with a broader multi-campus structure.

Others

• Indraprastha Institute of Information Technology Delhi (IIIT Delhi) — other departments: IIIT Delhi's other departments (ECE, CB, HCD, Maths, SSH) share the same institute-level governance, funding, and student ecosystem, providing internal collaboration opportunities and shared resources relevant to CSE research.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat4 records

Key risks6 records

Key highlights6 records

Customer concentration

• LinkedInlinkedin.com/company/cseiiitd

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about Department of Computer Science and Engineering, IIIT Delhi