Ph. D. in Computer Science and Engineering

Overview

Department of Computer Science and Engineering (CSE) at Alliance College of Engineering and Design supports the research aspirations of scholars aiming to make impactful contributions to the field. Our programme, aligned with the Sustainable Development Goals, empowers researchers to push the boundaries of innovation in AI/ML, Data Science, Cyber Security, Cloud Computing, and AIoT (Artificial Intelligence of Things), while also providing a broad and inclusive platform to explore innovative solutions across various disciplines.

Alliance University admits students with strong academic backgrounds who are highly motivated and have the intellectual curiosity to undertake original research. The Alliance College of Engineering and Design, under the guidance of top-tier faculty promotes learning and research activities that allow doctoral students to master theory and research relevant to their source discipline.

By addressing global challenges, bridging academia-industry gaps, and nurturing collaborative research, our Ph.D. candidates become thought leaders and change agents, contributing to a sustainable and inclusive future. Participate in the collective endeavours to generate substantial impact through research that surpasses conventional limits and promotes positive influences on both local and global communities.

Eligibility

A 1-year / 2-semester master's degree programme after a 4-year / 8-semester bachelor’s degree programme or a 2-year / 4-semester master’s degree programme after a 3-year bachelor’s degree programme or qualifications declared equivalent to the master’s degree with 55% marks in aggregate from a recognized University in "relevant discipline".
Candidate seeking admission after a 4-year / 8-semester bachelor’s degree programme should have a minimum of 75% marks in aggregate or its equivalent grade on a point scale wherever the grading system is followed in "related discipline".
A candidate with an M. Phil Degree with at least 55% marks in aggregate shall be eligible for admission to the Ph.D. programme.
A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC / ST.

Areas of Research

AI / ML (Artificial Intelligence / Machine Learning)

Data Science

Cyber Security

Cloud Computing

AIoT (Artificial Intelligence of Things)

Salient Features

Research Fellowship: Full-time scholars receive a monthly research fellowship of Rs. 35,000 along with an annual research allowance of Rs. 25,000, providing essential financial support during the research period.

Conference Support: Financial assistance is available for Full-Time Research Scholars to attend national and international conferences, fostering exposure to diverse research perspectives and networking opportunities.

Plagiarism Check: Ensuring academic integrity, the university conducts periodic similarity checks on research papers and chapters.

Transfer Facilities: The university facilitates the transfer of Research Scholars between other universities or research institutions and Alliance University, fostering a collaborative research environment.

Inclusivity Measures: Specific provisions and relaxations are in place for women Research Scholars and specially-abled individuals, ensuring an inclusive and supportive academic environment.

Interaction with Luminaries: Scholars benefit from extensive interaction with luminaries in the field, providing valuable insights, mentorship, and networking opportunities throughout their research journey.

Programme Structure:

The Ph.D. program in CSE integrates advanced coursework, research methodologies, and practical experiences for comprehensive skill development. Tailor your academic journey to align precisely with your research interests within the chosen specialization.

Facilities and Resources:

Alliance University offers state-of-the-art laboratories, research centers, and computing facilities dedicated to supporting Ph.D. candidates. Our commitment to providing advanced resources ensures you have the tools needed for successful research outcomes.