Ph.D. (Computer Science and Engineering)

Doctor of Philosophy in Computer Science and Engineering

Ph.D. Computer Science & Engineering or Doctor of Philosophy in Computer Science & Engineering is a Doctorate Computer Engineering course. The areas of research include Machine Learning and its application in computational biology, systems biology, evolutionary algorithms, operating systems, distributed systems, networks, database management systems, formal modelling, synthesis and verification of embedded systems, human-computer interaction, user modelling, model-based evaluation of interactive systems, rehabilitation engineering, networking, fault tolerance, embedded systems, digital signal processing, speech processing, man-machine intelligence systems, formal verification, software engineering, algorithms, word combinatory, algorithms and combinatory, multiprocessor computer architecture, formal methods, network-on-chip design, asynchronous systems, distributed algorithms, fault-tolerance, distributed algorithms for ad hoc and sensor networks, computational geometry, parallel algorithms, randomized algorithms, optimization, artificial intelligence, intelligent robotics, natural language processing, genetic algorithms, fuzzy systems & neural networks, artificial immune systems, networks. The duration of the course is three years and it may extend to five years.

Ph.D. Computer Science & Engineering Eligibility

• The students should have passed a master's degree in any branch of Engineering or its equivalent from Osmania University or any other equivalent university/recognized institute and Obtained at least 60% marks in M.E./M.Tech. level.
• Some of the reputed institutes conduct an entrance examination for admission.

Ph.D. Computer Science & Engineering Syllabus

Syllabus of Computer Science & Engineering as prescribed by various Universities and Colleges.

Ph.D. Computer Science & Engineering Colleges

• Koneru Lakshmaiah Education Foundation, Guntur
• Chandigarh College of Engineering and Technology - CCET, Chandigarh
• Chaudhary Devi Lal University, Sirsa
• SRM Institute of Science and Technology - Kattankulathur, Kanchipuram

Ph.D. Computer Science & Engineering Course Suitability

• Candidate should have the ability to create and invent things, a good knowledge of technology and an interest in mathematics and science.
• Candidates should also possess good analytical skills, an eye for detail, sustained attention and the ability to solve problems.
• They should have good communication and interpersonal skills, be proficient in analysing and evaluating data and have the skill to make decisions, to work in teams and to express their ideas both orally and in writing.

How is Ph.D. Computer Science & Engineering Course Beneficial?

• The course is beneficial to solve the problems from highly theoretical/mathematical to modelling and experimentation or building new technologies.
• After passing the course they can inculcate innovation and development of technologies that are sustainable and inclusive, that benefit all section of the society.
• They can also have jobs in a variety of environments in university, research, private and public industries, government departments, business organizations, commercial organizations and the manufacturing sector etc.
• They can work as programmers, web developers and e-commerce specialists with industries that build or use computer-based systems, such as telecommunications, automotive, aerospace, etc.
• They have also teaching jobs in universities/colleges after passing the UGC-NET exam.

Ph.D. Computer Science & Engineering Employment Areas

• IT Consultancies
• Academic Institutions
• IT Service Providing Companies
• Telecommunication Companies
• IT Departments
• Aerospace Company
• Defence Sector
• Financial Services
• Retail Sector
• Healthcare Sector
• Manufacturing Units
• Agriculture Sector

Ph.D. Computer Science & Engineering Job Types

• Lecturer & Professor
• Technician
• Web Developer
• System Designer
• Help Desk Specialist
• Networking Specialist
• Data-warehouse Analyst
• e-Commerce Specialist
• Lab Instructor
• Software Engineer
• Development Manager
• Technician
• Subject Matter Expert