PhD Syllabus & Subjects List 2026: Download Semester-wise Syllabus PDF

Research Methodology

This subject involves the study of sampling, scaling and qualitative measures, descriptive statistics, and correlation. It also focuses on reviewing literature and writing research papers, thesis, reports, and project proposals.

The topics covered here include:

• Research Foundations

• Computer Science Research Context

• Research Design

Software Engineering

This subject offers a comprehensive view of the fundamentals of software systems by applying appropriate principles, theories, tools, and processes. It also aims to develop computer software in at least one domain, such as Safety, Society, Healthcare, Legal, Communication and Environment.

The topics covered here include:

• Software Engineering Fundamentals

• Software Requirements Analysis & Specification

• Software Design

• CASE Tools

• Coding and Testing

• User Interface Design

Real-Time Systems

The course introduces the basic concepts of Real-Time Systems, resource allocation techniques and introduces the features specific to Real-Time Systems. It also discusses the various issues involved with the design and implementation of Real-Time Systems.

The topics covered here include:

• Real-Time Systems Models

• Real-Time Process Management

• Programming Environment

• Real-Time System Design

Software Metrics

The subject provides an overview of Software Metrics, Metric Types, Measurements, Scales, and examples of how they are used. It also introduces some of the issues with Software Metrics. This subject also discusses the importance of Software Metrics within Object-Oriented Programming.

The topics covered here include:

• Software Quality Assurance Framework

• Quality Standards

• Measuring Structure and Size

• Object-Oriented Metrics

Natural Language Processing

The subject aims to deepen your understanding of natural language processing, as well as learn basic algorithms to apply in this field. You will also learn the algorithmic description of the main language levels and the resources for natural language data.

The topics covered here include:

• Introduction to Morphology, Syntax, Semantics

• Analysis and generation of language on phrasal and sentence level

• Applications of Natural Language Processing

Software Quality Engineering

This subject describes quality assurance approaches, understanding quality models, and evaluating the system according to the chosen quality model. Additionally, it identifies measures applicable to the process of verification and validation.

The topics covered here include:

• Introduction to Software Quality

• Software Quality Assurance

• Software Verification, Validation & Testing

1

Advanced Computer Architecture

Advanced Computer Architecture

The subject focuses on learning the fundamentals of computer architecture design, analysis, and simulation. It also covers topics such as processor design, pipelining, caches, storage systems, virtual memory, and simulation techniques. Moreover, it enables a better understanding of different processor architectures and systems levels of design.

The topics covered here include:

• Review of Basic Organization and Architectural Techniques

• Instruction Level Parallelism

• Memory Hierarchies

• Thread Level Parallelism

• Process Level Parallelism

2.

Operating Systems

Operating Systems

This course highlights the importance of operating systems in Computer Architecture. It helps you acquire knowledge about the functions of an OS, alongside Process Management and Communication.

3

Network Security

Network Security

This subject discusses various electronic payment systems such as NetBill, MicroMint, PayWords, fair exchange protocols, as well as several types of Group Management techniques, including Group Key Agreement and Group Key Distribution, and at least one secure MANET routing protocol.

The topics covered here include:

• Introduction to the Concepts of Security

• Cryptographic Techniques

• Public Key Infrastructure

• Security Protocols

4

Data Mining

Data Mining

Data mining as a subject offers an in-depth analysis of the process of mining large troves of data for meaningful information. Data is collected in clusters and subsequently classified based on certain criteria.

Through this subject, you shall get hands-on knowledge of the process of data mining.

5

Computational Algebra

Computational Algebra

This course studies the use of mathematical models for solving computational and scientific problems. It includes an in-depth analysis of concepts such as linear and non-linear systems, basic data filtering and the robustness of an algorithm.

6

Database Management Systems

Database Management Systems

In this subject, students develop a comprehensive understanding of aspects of database technologies and the necessity for distributed databases to satisfy the deficiencies of centralized databases.

PhD in Biochemistry

• Advanced Cancer Biology

• Bacterial Infection and Therapeutics

• Molecular Parasitology

• Nanobiotechnology

• Protein Science and Engineering

PhD in Biochemistry is a research-based degree that explores living creatures at the molecular level and includes a thorough examination of biomolecules.

This advanced degree combines several Biological Sciences topics, including Genetics, Forensics, Medicine, Plant Science, and Microbiology.

PhD in Mathematics

• Advanced Commutative Algebra

• Advanced Functional Analysis

• Topology and Mixing

• Convex and Non-Smooth Analysis

Students pursuing a PhD in Mathematics learn about Mathematical Logic and Analysis, Statistics, Stochastic Processes and Topology.

The PhD programme provides students with advanced knowledge in the subject of mathematics as well as abilities that may be utilized to apply and solve complicated real-life problems.

PhD in Physics

• Theoretical and Experimental Physics

• Numerical Methods and Simulation

• Research and Technical Communication

• Laser and Nonlinear Optics

A PhD in physics provides a comprehensive overview of experimental and Theoretical Physics and seeks to give applicants a wide professional grounding in physics.

This course will help students learn about Natural Laws in Optics, Classical and Quantum Mechanics, Electricity and Magnetism, Astronomy and Astrophysics, Biomedical Physics, and other fields.

PhD in Environmental Science

• Data Collection and Data Preparation

• Statistics

• Concept of Ecosystem

• Biodiversity and Wildlife

A PhD in Environmental Science is a degree programme that prepares the students to address the emerging environmental issues like climate change, environmental sustainability and natural resource management.

Research Methodology

Research Methodology: A step-by-step guide for beginners

Ranjit Kumar

This book is a suitable choice for students who have no previous experience or knowledge of research or research methodology. This step-by-step guide teaches about theoretical concepts and 8 crucial steps to any research process. It provides examples illustrating both quantitative and qualitative approaches for a thorough understanding of the methods of analysis.

Advanced Computer Architecture

Computer Architecture: A Quantitative Approach

Hennessy and Patterson

The book highlights how digital media, including smartphones, computers, tablets, and other mobile devices, can access the cloud and its software. It also covers the two most important aspects of modern architecture: parallelism and memory hierarchy.

Advanced Network Security

Network Security Essentials

William Stallings

The book explains why internet security is critical in our age of robust electronic connectivity. Many factors can compromise private information, such as viruses, hackers, and electronic fraud. In this book, the author outlines the necessity of securing data and resources, ensuring their authenticity and evaluating the effects of network-based attacks.

Distributed Databases

Database System Concepts

Henry F. Korth, Abraham Silberschatz, S. Sudarshan

This book is one of the cornerstones of database education. It presents the key concepts of database management in a straightforward manner so that students can begin using databases right away. The book is written for junior/senior courses on databases.

Applied Cryptography

Handbook of Applied Cryptography

A. Menezes, P. Van Oorschot, S. Vanstone

This book is a great reference for both the novice and the expert who need a broader scope of study in the field of cryptography. It is a vital and current handbook for professionals interested in cryptographic arts. It is intended to provide an overview of the more practical features of both conventional and public-key encryption.