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  • Ph.D in Computer Science

Ph.D in Computer Science

Ph.D in Computer Science Ph.D in Computer Science

Ph.D in Computer Science

GITAM’s PhD in Computer Science with Cognitive Systems is a research-intensive programme designed to deepen knowledge in the fields of computer science and cognitive systems. This programme aims to advance the understanding of how computers can be designed to function with the efficiency of the human brain. Cognitive systems play a key role in pioneering technologies such as artificial intelligence, machine learning, and data-driven decision-making.

 

The PhD programme, offered at our Visakhapatnam campus, provides scholars with advanced research skills, enabling them to contribute to cutting-edge developments in cognitive systems and their applications. In addition to rigorous academic training, scholars have access to state-of-the-art labs, where they can apply their research to address complex, real-world challenges.

Ph.D in Computer Science

Eligibility

The programme is open to applicants with a Master's degree in Computer Applications (MCA), Master of Science (MSc) in Information Sciences, Computer Science, or Data Science, Master of Technology (MTech) in Information Technology or Computer Science & Engineering, or equivalent Master's degrees in Computer Science.

Scope of the Programme

The PhD in Computer Science with Cognitive Systems is a dynamic and evolving field with significant research potential. The programme integrates advanced theoretical concepts with in-depth practical applications, equipping scholars to address complex real-world challenges in computer science and cognitive systems.

 

Graduates of this programme can engage in pioneering research and development in areas such as virtual and mixed reality, robotics, artificial intelligence, the Internet of Things, cybersecurity, data science, and automation. This interdisciplinary field opens pathways to significant contributions in academia, industry, and future technological advancements.

Key Highlights

Application Domain Experience of Faculty

Application Domain Experience of Faculty

  • Information Technologies
  • Management
  • Sensor Technologies
  • Telecom
  • Biology
  • Medical Sciences
Infrastructure

Infrastructure

  • AI & ML Lab
  • Cognitive Computing
  • Human Computer Interaction
  • Robotics
Research Centre

Research Centre

MURTI Multidisciplinary Research

Liberal Education

Liberal Education

Model 24 credits can be earned across different Schools:

  • Architecture
  • Business
  • Physiotherapy
  • Law
  • Engineering
  • Humanities
Industry & Academic Collaborations

Industry & Academic Collaborations

  • Tata Consultancy Services (TCS)
  • Maini Group
  • Infosys
  • ICAR- Nivedi
  • DronaVyuh Technologies
Venture Development Centre

Venture Development Centre

  • Mandatory 2-credit venture development course
  • Transcending disciplinary boundaries
  • Hands-on learning
  • Innovative product creation with business potential

Syllabus

The curriculum is meticulously designed, developed, and delivered with guidance from industry experts and academic leaders from premier institutions such as IISc, IITs, and others.

Standard track course offerings

  • Statistics
  • Operating Systems
  • Data Science
  • Information Technology
  • Psychology
  • Artificial Intelligence

Specialisation course bundles offered

  • Computational Biology
  • Tele Communications
  • Industrial Automation
  • Financial Technology
Know More

Career Options

Graduates with a PhD in Computer Science with Cognitive Systems are poised to lead innovative research and development in fields such as artificial intelligence, machine learning, virtual reality, and robotics. Their deep understanding of cognitive systems enables them to create intelligent technologies that replicate human cognition, driving advancements in automation, operational efficiency, and intelligent systems across various industries.

In an era where AI, machine learning, and cognitive technologies are integral to everyday life, PhD graduates are uniquely positioned to be at the forefront of groundbreaking innovations. It’s no surprise that AI and machine learning specialists are among the most sought-after professionals worldwide.

Are you ready to influence the future of technological solutions?

Here are some exciting career paths to consider:

  • AI Research Scientist
  • Machine Learning Engineer
  • Robotics Researcher
  • Data Science Consultant
  • Automation and AI Strategist
  • Professor in Academia

Star Recruiters

School Leadership

Majji Kiranmai Reddy

Assistant Professor

Majji Kiranmai Reddy

View all Faculty

Notable Alumni

Dr K Narendra Swaroop

Dr K Narendra Swaroop

Senior Program Manager- Quality

A. Venkata Ramana

A. Venkata Ramana

Director - Embedded Software

Dr. Yeluripati Jagadeesh Babu

Dr. Yeluripati Jagadeesh Babu

Senior Scientist

Ms. Nalanda

Ms. Nalanda

FST

Mr. Gowtham

Mr. Gowtham

Ph.D. student

Ms. Bidya Rani Mohanty

Ms. Bidya Rani Mohanty

M.Sc. Microbiology R&D

Ms. Kavya Srivastava

Ms. Kavya Srivastava

M.Sc. Microbiology QA Manager

Dr. V. Ravi Raju

Dr. V. Ravi Raju

Assistant Professor

Dr B. Sai  Kumar

Dr B. Sai Kumar

Head

Dr MVVN Murali Krishna

Dr MVVN Murali Krishna

Manager

Eswara N V Geratayya

Eswara N V Geratayya

Director

Sunitha Chirla

Sunitha Chirla

Applications Technical Analyst

Rama Krishna Addanki

Rama Krishna Addanki

Senior Solution Architect

P. Lakshmi Parimala

P. Lakshmi Parimala

Senior Analyst

T. Solomon

T. Solomon

Research Scholar

Jayanta Kumar Pal

Jayanta Kumar Pal

Data Scientist

P. Lakshmi Parimala

P. Lakshmi Parimala

Senior Analyst

T. Solomon

T. Solomon

Research Scholar

Jayanta Kumar Pal

Jayanta Kumar Pal

Data Scientist

Infrastructure and Facilities

Fee Structure

Ph.D Computer Science

PhD Mode of Admission Duration Application Fee Annual Fee Processing Fee (Only one time)
Full-Time (Indian Nationals) 3 Years INR 1,200 INR 30,000 NIL
Full-Time (Foreign Nationals) 3 Years NIL USD 2,500 USD 300
Extramural 4 Years INR 1,200 INR 1,00,000 NIL
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