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UoH_SCIS_Placement

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uuid0059w44

Namestring
UoH_SCIS_Placement
Legal namestring
School of Computer and Information Sciences, University of Hyderabad
Company typeenum
Private
Founded yearint
1986
Descriptiontext

School of Computer and Information Sciences (SCIS) is an academic department within the University of Hyderabad, a central government university in Gachibowli, Hyderabad, Telangana, India. SCIS offers PhD, M.Tech (Computer Science, Artificial Intelligence, Information Technology), Master of Computer Applications (MCA), and an integrated five-year IMTech in CSE. The M.Tech (AI) program was launched in 1986 alongside the establishment of the AI Lab, marking the school's early specialization in artificial intelligence. Faculty comprise 28 PhD holders, including five from top global universities and eight from IITs/IISc/ISI, with three faculty members ranked among the world's top 2% researchers (Stanford Top Scientists List 2025). On the Scopus database, the school holds an h-index of 73, with over 1,850 publications and 18,000+ citations.

The school's core technology infrastructure includes the AI Lab (70 modern systems upgraded in March 2026), the DARE Lab (formerly OCR Lab) for document analysis and recognition including the first complete Telugu OCR system, the Cloud Computing and Smart Solutions Lab for federated learning, edge/fog computing, IoT, serverless computing, and LLM on edge, plus dedicated 5G Use Case Lab, WISE Lab, HPC Lab with GPU clusters, and CMSD. Research is organized across eight areas: AI & Machine Learning, Soft Computing, Cloud Computing & IoT, Cyber Security, Computer Vision, and Natural Language Processing.

SCIS operates as a government-funded academic entity. Revenue derives from tuition and academic fees across its degree programs, plus research grants including UoH-ANRF-PAIR, SERB CRG, IoE projects, and international collaborations cumulatively exceeding 10 Million Euros. Pricing is described as 'world-class education at affordable fees.' The GTM motion is event-driven: an annual campus placement programme attracts product-based companies, with the 2024-25 cycle placing 69 students across EA Sports, IBM, Intel, Samsung, Teradata, FactSet, Crisil, LatentView Analytics, and others at a median package of approximately ₹10 LPA and highest package of 46 LPA. International alumni pursue higher studies at UC San Diego, RIT, and Saarland University, supporting global visibility.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersHyderabad, India
HQ citystring
Hyderabad
HQ countrystring
India
HQ regionstring
Asia
Markets served

Serves global market

Offices2 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
computer science education, graduate engineering programs, AI research labs, campus placement services, academic degree programs
Industry4 codes
1Technical Universities with Computing, Data & AI Focus
CodeEDAHAEAKPrimaryYes
2Polytechnic & Applied Sciences Universities
CodeEDAHAEABPrimaryNo
3Computer Science, IT & Data Science
CodeEDAGABABPrimaryNo
4Information Technology (IT) & Cybersecurity Certifications
CodeEDAAANAAPrimaryNo
NAICS code2 codes
  • Colleges, Universities, and Professional Schools6113
  • Colleges, Universities, and Professional Schools61131
SIC code1 code
  • Services-Educational Services8200
Product category
Higher Education
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model2 records
1Tuition and Academic Fees
TypeSubscription Recurring
Description

Government university offering world-class education at affordable fees. Programs include PhD, M.Tech (CS/AI/IT), MCA, and IMTech with varying fee structures.

scis.uohyd.ac.in
2Research Grants
TypeManaged Services
Description

Funded research projects including UoH-ANRF-PAIR, SERB CRG, IoE Projects, and international collaborations worth over 10 Million Euros

scis.uohyd.ac.in
Marketing channels7 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels2 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Operations, Infrastructure, Technology or R&D, Others
Pricing details1 tier
1Affordable world-class education
ModelSubscriptionBilling cadenceAnnual
Notes

Best value for money among premier institutions in India

scis.uohyd.ac.in
GTM typeB2C
B2C
Offering typeServices
Services
Core offering1 text field

The School of Computer and Information Sciences (SCIS) at the University of Hyderabad is an academic department that delivers higher education degree programs in computer science, artificial intelligence, information technology, and computer applications. It also runs research laboratories in AI, deep learning, cloud computing, IoT, cybersecurity, and document analysis, and operates a campus placement programme that connects graduating students with technology companies.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 4 values shown
  • Median salary of ₹10 LPA for students recruited by top companies
+3 more records
Product overview1 text field

The School of Computer and Information Sciences (SCIS) at the University of Hyderabad is an academic department offering a comprehensive portfolio of academic programs and research laboratories. The academic offerings include PhD in Computer Science, M.Tech programs in CS (with HPC and Cybersecurity), AI, and IT specializations, MCA, and an integrated IMTech in CSE. The research infrastructure consists of specialized labs including the AI Lab (established 1986), Deep Learning Research Lab, DARE Lab (Document Analysis and Recognition), Cloud & Smart Solutions Lab, 5G Use Case Lab, WISE Lab, HPC Lab with GPU clusters, and CMSD. SCIS produces research tools and datasets including the Telugu OCR System (first complete OCR for Telugu), Saara machine translation system, and Telugu Printed Characters dataset.

Product and service1 record
1PhD in Computer Science
Scale indicator14 records

Each record includes

Type, Value, Description, Source

Partnership6 partners
Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2025-01-01
Description

GE Digital recruited 2 M.Tech and 4 I.M.Tech students as interns in 2023-24 academic year. Partnership provides industry exposure for students.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2025-01-01
Description

Marvell recruited 8 interns (5 I.M.Tech + 3 M.Tech) providing practical training opportunities.

Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2023-01-01
Description

Intel recruited 7 interns from I.M.Tech, M.Tech CS, and AI programs in 2022-23.

4EU H2020 - RADON Project
Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2018-01-01
Description

Rational decomposition and orchestration for serverless computing EU H2020 project (Jan 2018 - Jun 2021).

scis.uohyd.ac.in
5Estonian Centre of Excellence in ICT Research (EXCITE)
Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2016-01-01
Description

International research collaboration (Sep 2016 - Mar 2023) focused on ICT research excellence.

scis.uohyd.ac.in
Strategic tierMinorTypeStrategic or Co-development PartnerAnnounced on2013-01-01
Description

REuse and Migration of legacy applications to Interoperable Cloud Services EU FP7 project (Finished November 2013).

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

IIIT Hyderabad is a premier Hyderabad-based research university focused exclusively on Computer Science and adjacent fields; it offers M.Tech and PhD programs with strong AI/ML research output and recruiter engagement, making it the closest geographic and thematic peer to SCIS.

TypeDirect peer
Description

ISI Kolkata's CS division is a research-intensive school with strong theoretical CS, ML, and pattern recognition groups; comparable to SCIS for theoretical and applied CS research depth and faculty pedigree.

TypeDirect peer
Description

IIT Delhi CSE offers M.Tech and PhD programs in AI/ML, systems, and theoretical CS with one of the highest placement packages in India; a peer benchmark for SCIS's highest-package and recruiter-quality metrics.

4IIT Bombay CSE Department
TypeDirect peer
Description

IIT Bombay CSE is India's leading CS department by research output and placements, offering M.Tech/PhD programs with strong AI/ML and systems groups. It is the benchmark tier-1 CS school against which SCIS benchmarks its NIRF and placement outcomes.

TypeDirect peer
Description

IIT Hyderabad's CSE Department is a top-tier Indian technical school in the same Hyderabad/Gachibowli ecosystem, offering similar M.Tech/PhD programs in CS and AI with comparable placement and research metrics; structurally and competitively aligned with SCIS.

TypeDirect peer
Description

IIT Kanpur CSE offers M.Tech and PhD programs with strong AI/ML and cybersecurity groups and similar NIRF positioning to UoH SCIS; directly comparable for program offerings and recruiter profile.

TypeDirect peer
Description

IIT Madras CSE consistently ranks at the top of NIRF for CS and offers comparable M.Tech, PhD, and dual-degree programs with strong industry placement in product companies; directly comparable in program structure and recruiter base.

TypeDirect peer
Description

BITS Pilani's CS Department runs integrated M.Tech-equivalent programs with strong industry placement and an applied focus; comparable to SCIS's IMTech and M.Tech portfolio in duration, structure, and recruiter mix.

TypeDirect peer
Description

IISc's CSA Department is India's premier research-oriented CS school with deep AI and systems research output and significant international collaborations. SCIS's faculty pedigree (IISc alumni) and research ambition position it as a direct comparator.

TypeDirect peer
Description

IIT Kharagpur CSE is one of India's largest and oldest CS schools with broad M.Tech/PhD offerings in AI, systems, and security; competes with SCIS for the same recruiter pool and faculty candidates.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat6 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers19 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment3 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
No
API detail
Has APIbool
No

Docs URL, Description

AI capability14 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature8 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles8 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

Subsidiaries2 records

Each record includes

Name, Acquired on, Relationship type, Type, Business focus

No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

UoH_SCIS_Placement

Higher Educationscis.uohyd.ac.in

What UoH_SCIS_Placement does

School of Computer and Information Sciences (SCIS) is an academic department within the University of Hyderabad, a central government university in Gachibowli, Hyderabad, Telangana, India. SCIS offers PhD, M.Tech (Computer Science, Artificial Intelligence, Information Technology), Master of Computer Applications (MCA), and an integrated five-year IMTech in CSE. The M.Tech (AI) program was launched in 1986 alongside the establishment of the AI Lab, marking the school's early specialization in artificial intelligence. Faculty comprise 28 PhD holders, including five from top global universities and eight from IITs/IISc/ISI, with three faculty members ranked among the world's top 2% researchers (Stanford Top Scientists List 2025). On the Scopus database, the school holds an h-index of 73, with over 1,850 publications and 18,000+ citations.

The school's core technology infrastructure includes the AI Lab (70 modern systems upgraded in March 2026), the DARE Lab (formerly OCR Lab) for document analysis and recognition including the first complete Telugu OCR system, the Cloud Computing and Smart Solutions Lab for federated learning, edge/fog computing, IoT, serverless computing, and LLM on edge, plus dedicated 5G Use Case Lab, WISE Lab, HPC Lab with GPU clusters, and CMSD. Research is organized across eight areas: AI & Machine Learning, Soft Computing, Cloud Computing & IoT, Cyber Security, Computer Vision, and Natural Language Processing.

SCIS operates as a government-funded academic entity. Revenue derives from tuition and academic fees across its degree programs, plus research grants including UoH-ANRF-PAIR, SERB CRG, IoE projects, and international collaborations cumulatively exceeding 10 Million Euros. Pricing is described as 'world-class education at affordable fees.' The GTM motion is event-driven: an annual campus placement programme attracts product-based companies, with the 2024-25 cycle placing 69 students across EA Sports, IBM, Intel, Samsung, Teradata, FactSet, Crisil, LatentView Analytics, and others at a median package of approximately ₹10 LPA and highest package of 46 LPA. International alumni pursue higher studies at UC San Diego, RIT, and Saarland University, supporting global visibility.

UoH_SCIS_Placement firmographics

Firmographics
Name
UoH_SCIS_Placement
Legal name
School of Computer and Information Sciences, University of Hyderabad
Website
https://scis.uohyd.ac.in
Company type
Private
Founded year
1986
Operating status
Operating
Headcount range
1–10 employees
Ownership category
akta.pro rank

UoH_SCIS_Placement industry classification

Industry
Product category
Higher Education
NAICS
Colleges, Universities, and Professional Schools (6113), Colleges, Universities, and Professional Schools (61131)
SIC
Services-Educational Services (8200)
akta.pro primary industry
Technical Universities with Computing, Data & AI Focus (EDAHAEAK)
akta.pro secondary industries
Polytechnic & Applied Sciences Universities (EDAHAEAB), Computer Science, IT & Data Science (EDAGABAB), Information Technology (IT) & Cybersecurity Certifications (EDAAANAA)

Keywords

  • Computer science education
  • Graduate engineering programs
  • AI research labs
  • Campus placement services
  • Academic degree programs

Where UoH_SCIS_Placement is headquartered

Location

Headquarters

HQ city
Hyderabad
HQ country
India
HQ region
Asia

Offices2 records

Markets served

UoH_SCIS_Placement business model

Business model
GTM type
B2C
Offering type
Services
Cost components
Personnel, Operations, Infrastructure, Technology or R&D, Others

Revenue model

  1. Tuition and Academic Fees: Government university offering world-class education at affordable fees. Programs include PhD, M.Tech (CS/AI/IT), MCA, and IMTech with varying fee structures.
  2. Research Grants: Funded research projects including UoH-ANRF-PAIR, SERB CRG, IoE Projects, and international collaborations worth over 10 Million Euros

Pricing tiers

ModelBillingPrice
SubscriptionAnnualAffordable world-class education

Go-to-market motion1 record

Distribution channels2 records

Marketing channels7 records

UoH_SCIS_Placement product offering

Product offering

Core offering

The School of Computer and Information Sciences (SCIS) at the University of Hyderabad is an academic department that delivers higher education degree programs in computer science, artificial intelligence, information technology, and computer applications. It also runs research laboratories in AI, deep learning, cloud computing, IoT, cybersecurity, and document analysis, and operates a campus placement programme that connects graduating students with technology companies.

Product overview

The School of Computer and Information Sciences (SCIS) at the University of Hyderabad is an academic department offering a comprehensive portfolio of academic programs and research laboratories. The academic offerings include PhD in Computer Science, M.Tech programs in CS (with HPC and Cybersecurity), AI, and IT specializations, MCA, and an integrated IMTech in CSE. The research infrastructure consists of specialized labs including the AI Lab (established 1986), Deep Learning Research Lab, DARE Lab (Document Analysis and Recognition), Cloud & Smart Solutions Lab, 5G Use Case Lab, WISE Lab, HPC Lab with GPU clusters, and CMSD. SCIS produces research tools and datasets including the Telugu OCR System (first complete OCR for Telugu), Saara machine translation system, and Telugu Printed Characters dataset.

Differentiator

Problem solved

Functional benefit

Products and services

  • PhD in Computer Science

Quantifiable outcome

  • Median salary of ₹10 LPA for students recruited by top companies
  • +3 more outcomes

Companies that use UoH_SCIS_Placement

Customer profile

Named customers19 records

Segments3 records

Ideal customer profiles2 records

UoH_SCIS_Placement technology and API

Technology

Technology focussed No

API detail

Has API
No
API docs
API detail

Core technology

AI maturity

App detail

AI capability14 records

Feature8 records

UoH_SCIS_Placement partnerships and signals

Strategic signal

Partnerships

Six partnerships are on record, tiered minor.

  • GE DigitalminorStrategic or Co-development Partner · 1 January 2025GE Digital recruited 2 M.Tech and 4 I.M.Tech students as interns in 2023-24 academic year. Partnership provides industry exposure for students.
  • MarvellminorStrategic or Co-development Partner · 1 January 2025Marvell recruited 8 interns (5 I.M.Tech + 3 M.Tech) providing practical training opportunities.
  • IntelminorStrategic or Co-development Partner · 1 January 2023Intel recruited 7 interns from I.M.Tech, M.Tech CS, and AI programs in 2022-23.
  • EU H2020 - RADON ProjectminorStrategic or Co-development Partner · 1 January 2018Rational decomposition and orchestration for serverless computing EU H2020 project (Jan 2018 - Jun 2021).
  • Estonian Centre of Excellence in ICT Research (EXCITE)minorStrategic or Co-development Partner · 1 January 2016International research collaboration (Sep 2016 - Mar 2023) focused on ICT research excellence.
  • EU FP7 - REMICS ProjectminorStrategic or Co-development Partner · 1 January 2013REuse and Migration of legacy applications to Interoperable Cloud Services EU FP7 project (Finished November 2013).

Scale indicators14 records

Recent moves6 records

Expansion highlights6 records

UoH_SCIS_Placement competitors and assessment

Company assessment

Direct peers

  • IIIT Hyderabad: IIIT Hyderabad is a premier Hyderabad-based research university focused exclusively on Computer Science and adjacent fields; it offers M.Tech and PhD programs with strong AI/ML research output and recruiter engagement, making it the closest geographic and thematic peer to SCIS.
  • ISI Kolkata - Computer and Communication Sciences Division: ISI Kolkata's CS division is a research-intensive school with strong theoretical CS, ML, and pattern recognition groups; comparable to SCIS for theoretical and applied CS research depth and faculty pedigree.
  • IIT Delhi CSE Department: IIT Delhi CSE offers M.Tech and PhD programs in AI/ML, systems, and theoretical CS with one of the highest placement packages in India; a peer benchmark for SCIS's highest-package and recruiter-quality metrics.
  • IIT Bombay CSE Department: IIT Bombay CSE is India's leading CS department by research output and placements, offering M.Tech/PhD programs with strong AI/ML and systems groups. It is the benchmark tier-1 CS school against which SCIS benchmarks its NIRF and placement outcomes.
  • IIT Hyderabad CSE Department: IIT Hyderabad's CSE Department is a top-tier Indian technical school in the same Hyderabad/Gachibowli ecosystem, offering similar M.Tech/PhD programs in CS and AI with comparable placement and research metrics; structurally and competitively aligned with SCIS.
  • IIT Kanpur CSE Department: IIT Kanpur CSE offers M.Tech and PhD programs with strong AI/ML and cybersecurity groups and similar NIRF positioning to UoH SCIS; directly comparable for program offerings and recruiter profile.
  • IIT Madras CSE Department: IIT Madras CSE consistently ranks at the top of NIRF for CS and offers comparable M.Tech, PhD, and dual-degree programs with strong industry placement in product companies; directly comparable in program structure and recruiter base.
  • BITS Pilani CS Department: BITS Pilani's CS Department runs integrated M.Tech-equivalent programs with strong industry placement and an applied focus; comparable to SCIS's IMTech and M.Tech portfolio in duration, structure, and recruiter mix.
  • Indian Institute of Science (IISc) Bangalore - CSA Department: IISc's CSA Department is India's premier research-oriented CS school with deep AI and systems research output and significant international collaborations. SCIS's faculty pedigree (IISc alumni) and research ambition position it as a direct comparator.
  • IIT Kharagpur CSE Department: IIT Kharagpur CSE is one of India's largest and oldest CS schools with broad M.Tech/PhD offerings in AI, systems, and security; competes with SCIS for the same recruiter pool and faculty candidates.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat6 records

Key risks6 records

Key highlights7 records

Customer concentration

UoH_SCIS_Placement social profiles

Digital presence

UoH_SCIS_Placement financial estimates

Financial estimate

Revenue estimate

Valuation estimate

UoH_SCIS_Placement leadership team

Management profile

Number of profiles

Profiles8 records

UoH_SCIS_Placement subsidiaries and ownership

Company hierarchy

Subsidiaries2 records

UoH_SCIS_Placement funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

UoH_SCIS_Placement M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about UoH_SCIS_Placement

What does UoH_SCIS_Placement do?

The School of Computer and Information Sciences (SCIS) at the University of Hyderabad is an academic department that delivers higher education degree programs in computer science, artificial intelligence, information technology, and computer applications. It also runs research laboratories in AI, deep learning, cloud computing, IoT, cybersecurity, and document analysis, and operates a campus placement programme that connects graduating students with technology companies.

Is UoH_SCIS_Placement a public or private company?

UoH_SCIS_Placement is a private company. It is classified as state government owned and is currently operating.

When was UoH_SCIS_Placement founded?

UoH_SCIS_Placement was founded in 1986. It employs 1 to 10 people.

Where is UoH_SCIS_Placement based?

UoH_SCIS_Placement is headquartered in Hyderabad, India, in the Asia region.

How does UoH_SCIS_Placement make money?

Two revenue lines are on record. Tuition and Academic Fees are the primary driver. The others are research Grants.

Who are UoH_SCIS_Placement's main competitors?

Direct peers on record are IIIT Hyderabad, ISI Kolkata - Computer and Communication Sciences Division, IIT Delhi CSE Department, IIT Bombay CSE Department, IIT Hyderabad CSE Department, IIT Kanpur CSE Department, IIT Madras CSE Department, BITS Pilani CS Department, Indian Institute of Science (IISc) Bangalore - CSA Department and IIT Kharagpur CSE Department.

Does UoH_SCIS_Placement have an API?

No public API is recorded for UoH_SCIS_Placement.

What industry is UoH_SCIS_Placement in?

UoH_SCIS_Placement's product category is Higher Education. Its primary akta.pro industry code is EDAHAEAK, Technical Universities with Computing, Data & AI Focus, with a secondary code of EDAHAEAB, Polytechnic & Applied Sciences Universities. Its NAICS code is 6113 and its SIC code is 8200.

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