PhD Computer Science Syllabus, Subjects, Entrance Exam, Yearly, Semester, Projects, Books

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Sounak Banerjee

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PhD in Computer Science and Engineering is a 3 to 5 years full-time research program in computer science that deals with the study of Machine learning, Rough Set theory, Research Methodology, Data Mining, etc.

The minimum eligibility criteria for PhD in Computer Science Admissions is M.Phil in computer science or equivalent degree with 55% marks in aggregate.

Candidates can get jobs like Software Engineer, Data Administrator, Application Developer, Authors, Application Analyst, and so on after completing the Ph.D. course. 

PhD in Computer Science Course Details

Course Level Postgraduate Level
Time Period 3 Years
Fee Details INR 10,000-2,75,000
Eligibility Criteria Minimum of 55% marks in Post Graduation
Starting Salary INR 2-5 LPA
Admission Process Entrance Exam and Merit-Based
Job Opportunities University professor, Industrial R&D Lab professionals, Start-Up mentors, Authors, Senior research scientist and others.

PhD in Computer Science Subjects 

  • Research Methodology - This includes choosing methods that are appropriate for research aims and objectives and understanding the limitations of particular research methods. Topics like Meaning and objective of Research Methodology, Motivation in research, types of research, different Research Approaches, the significance of the research, Research Methods versus Methodology.
  • Performance Analysis of Wireless Sensor Network - Students will get to know more about Localization, Fundamentals of Genetic Algorithms, Genetic Modelling etc 
  • Short Range Wireless Communication-Students will get to know about to know the calculation of different performance metrics corresponding different communication systems.
  • Methods of Advanced Wireless Communication Systems- This will guide students regarding Understanding various short-term and long-term communication systems. Topics like the Evolution of mobile radio communications, paging systems, Cordless telephone systems, and comparison of various wireless systems. 

See Also:

Ph.D. in Computer Science Syllabus

A detailed description of the topics in Computer Science are listed in tabular form below:

Syllabus
Research Methodology
Data Mining
Machine Learning
Rough Set Theory
Fuzzy Logic
Simulation and modeling
Web engineering
Artificial intelligence
Software architecture and testing
Thesis report

PhD in Computer Science Books

Book Name Author
Research Methodology: Concepts and Cases Deepak Chawla , Neena Sondhi. (2016
Research Methodology – Methods and Techniques. 2 nd Edition C.R. Kothari. (2018)
Artificial Intelligence and Machine Learning. .Chandra .S.S.V. (2014).
Neural Networks and Fuzzy Logic. 1stEdition, Tata Mcgraw Hill, Delhi(2012). Dr.R.P.Das
The Internet of Things in the Cloud:A Middleware Perspective-– CRC Press . HonboZhou .
Cloud Security: A Comprehensive Guide to Secure Cloud Computing. New Delhi: Wiley –India Ronald, L. Krutz, Russell Dean Vines
The Book of JavaScript: A Practical Guide to Interactive WebPages. Thau. (2008)

Phd Entrance Exam Syllabus for Computer Science 

UNIT 1: Discrete Structure and Optimization
Mathematical Logic Graph Theory
Sets and Relations Boolean Algebra
Counting,Mathematical Induction and Discrete probability Optimization
Group Theory -
UNIT 2: Computer System Architecture
Digital Logic circuits and components Microprogrammed Control
Data Representation Central Processing Unit
Register Transfer and Microoperations Pipeline and Vector processing
Basic computer organization and design Input-Output organization
Programming the basic computer Memory Hierarchy
- Multiprocessors
UNIT 3: Programming Language and Computer Graphics
Language Design and Translation Issues Programming in C++
Elementary Data types Web programming
Programming in C Computer Graphics
Object oriented Programming 2-D Geometrical transforms and viewing

JNU Ph.D. Computer Science Entrance Exam Syllabus

JNUEE is conducted by National Testing Agency (NTA) to offer admissions to aspirants in undergraduate and postgraduate programs. The Syllabus of JNUEE varies according to the course. The detailed syllabus will be provided by the conducting authority on the date of notification. 

Technology Stream Life Science Stream
Basic Engineering & Technology Life Sciences (Biochemistry, Molecular Biology & Immunology)
Physics/Chemistry/Maths of undergraduate level Physics/Chemistry
Fundamental Life Sciences and Informatics Maths, Computer & Information Sciences
Mathematics General Aptitude
Real series analysis Current affairs
Differential equations General Science
Statistics and probability History of India
Modern Algebra and Matrix Theory -
Theory of Equation -
Numerical analysis -
Calculus and analytical geometry -
Trigonometry -
Computer Science
Representation of characters Binary and hexadecimal representations
Organization of a computer Floating point representation of numbers
Data structures Fundamentals of Computer
Integers and fractions Boolean algebra
Input/output devices Venn diagrams
Computer memory Computer Organisation
Central Processing Unit Binary arithmetic
C Language Truth tables

IGNOU PhD Computer Science Syllabus

The Indira Gandhi National open university offers many courses for candidates who clear NTA IGNOU PhD . The Entrance exam holds for 70% weightage and 30% weightage for personnel interviews It is important that applicants must start preparing for the exam right after submitting their application to use their time effectively.

Type Of Questions Multiple Choice Questions
Total Questions 100 (50% on Research Methodology and 50% on Specific Subject)
Negative Marking No negative marking
Test Duration 3 Hours (180 minutes)
Total Marks 400 Marks

Ph.D. Computer Science Course Structure 

Ph.D. Computer Science course takes three to five years to complete. The curriculum is divided into six to ten semesters and the exam takes place annually. There are many cores and elective courses offered in the Ph.D. Computer Science program. This course teaches students about research terminology, ethical research principles, ethical challenges and approval processes. Students will be taught about quantitative, qualitative and mixed methods approaches to research.

Ph.D. in computer science includes a research project that must be completed by the end of the semester in order to gain practical and theoretical skills. The course structure of the computer science program is as follows:

  • Theoretical knowledge
  • VI to X Semesters
  • Core Subjects
  • Elective Subjects
  • Practical Workshops
  • Research Project/Thesis Submission
  • Pedagogical methods 
  • case discussion and assignment

Ph.D. Computer Science Teaching Methodology and Techniques

In this course, while teaching computer science new technologies are integrated that are beneficial for students. The skills of students are enhanced for the workplace by different teaching methods. The teaching methods that are used are listed below:

  • Traditional Classroom Method
  • Case discussion and assignment
  • Class Projects
  • Problem-Solving Approach
  • Industrial Visit
  • Computer Assisted Learning
  • Audio Visuals
  • Virtual Lab Exercises
  • Brainstorming
  • Discussion Method
  • Seminars

Ph.D. Computer Science Projects 

Ph.D. in computer science projects is designed to help students to gain theoretical and practical skills. It will teach students about factors that influence the success of research projects and the strategies on how to implement them. The list of most popular Phd Computer Science project topics is stated below:

  1. Causal Models for Mental Health Interventions that are Interactive.
  2. Development of Graph- Embedding Techniques for Biomedical Knowledge Graphs.
  3. Automated Experimental Design with Humans in the Loop.
  4. Impact of Visual Images on Verbal Fluency in People Living with Dementia.
  5. Performance evaluation of AI and IoT-enabled Smart Wheelchair
  6. (MRD DTP) Understanding how psychedelic drugs affect the brain and behavior in rodents
  7. The Learning of User Models in Human-in -the Loop Machine Learning.
  8. Secure and Privacy-Preserving FAIR Data Vault Aggregation and Analysis.
  9. Masters by Research Sponsored by Business with SDG Changemakers.
  10. Studying Fall Risk in Parkinson’s Disease Patients in Real-Life Settings.
  11. Robert Gordon University Presents Natural Language Generation for the ISee Explainable AI Platform.
  12. The Development of an Intervention to Protect Older People from Cybercrime.

Phd in Computer Science Syllabus : FAQS

Ques. Should I do Phd computer science?

Ans. Candidates can pursue Ph.D. in computer science if they are interested in the computer science field or interested in high-level research in computer science with the potential for transformational research.

Ques. Is Ph.D. computer science a difficult course?

Ans. The course is easy to handle if you invest your time wisely in learning relevant disciplines

Ques. What is the duration of the Ph.D. Computer Science course?

Ans. The duration of the Ph.D. in a computer science course is a three to five-year-long program.

Ques. Which colleges offer Ph.D. Computer Science courses in India?

Ans. There are various colleges for Ph.D. in computer science courses which are listed below:

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