Ph.D. in Computer Science & Information Technology

Ph.D. in Computer Sciences and Information Technology

Program Thumbnail By Dr. G.Y. Pathrikar College of Computer Science & Information Technology

Program: Ph. D
Duration: 3 Year(s)

Program Outline

The Ph.D. in Computer Sciences and Information Technology Program at Pathrikar College of Computer Science & Information Technology, MGM University, is designed to equip students with advanced knowledge and research skills in the rapidly evolving fields of computer science and information technology. The program aims to produce highly qualified researchers and professionals who can contribute to the development of cutting-edge technologies and solutions.

The curriculum covers a wide range of topics, including artificial intelligence, machine learning, cyber security, big data analytics, cloud computing, and software engineering. Students can specialize in areas such as computer vision, natural language processing, blockchain technology, and quantum computing. The program emphasizes both theoretical and practical aspects, with a strong focus on research and innovation.

The program follows a rigorous admission process, attracting highly motivated and talented candidates. Successful applicants will work closely with experienced faculty members, conducting research in state-of-the-art laboratories. The program encourages collaboration with industry and research institutions, providing exposure to real-world challenges and fostering innovative solutions for the rapidly evolving computing and information technology sector.

Fees Structure

Particulars	Amount	Remarks
Tuition Fees	₹40000/-	Semester-Wise
Application Form & MGMU-PET	₹5000/-	One Time
Caution Money Deposit	₹5000/-	Refundable
Eligibility Fees	₹5000/-	One Time
Ph. D. Thesis Submission Fees	₹10000/-	One Time
Ph. D. Coursework Examination Fees	₹2500/-	One Time
Alumni Association Membership fees	₹2000/-	One Time

Program Outcomes

Research Proficiency

Conduct innovative and impactful research in computer sciences and information technology domains.

Knowledge Advancement

Contribute to the expansion of knowledge through high-quality publications and presentations.

Problem-Solving

Analyze complex computational problems and develop novel and efficient solutions.

Ethical Conduct

Uphold ethical standards, professional integrity, and responsible use of technology.

Collaboration

Foster effective collaborations with peers, stakeholders, and industry partners in multidisciplinary projects.

Lifelong Learning

Continuously update knowledge and skills to adapt to rapidly evolving technologies.

Eligibility

(1) Candidates who have completed:
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 by the corresponding statutory regulatory body, with at least 55% marks in aggregate or its equivalent grade in a point scale wherever grading system is followed
or equivalent qualification from a foreign educational institution accredited by an assessment and accreditation agency which is approved, recognized or authorized by an authority, established or incorporated under a law in its home country or any other statutory authority in that country to assess, accredit or assure quality and standards of the educational institution.
A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC/ST/OBC (non-creamy layer)/Differently-Abled, Economically Weaker Section (EWS) and other categories of candidates as per the decision of the Commission from time to time.
Provided that a 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. A relaxation of 5% marks or its equivalent grade may be allowed for those belonging to SC/ST/OBC (non-creamy layer) / Differently-Abled, Economically Weaker Section (EWS) and other categories of candidates as per the decision of the Commission from time to time.
(2) Candidates who have completed the M. Phil. programme with at least 55% marks in aggregate or its equivalent grade in a point scale wherever grading system is followed or equivalent qualification from a foreign educational institution accredited by an assessment and accreditation agency which is approved, recognized or authorized by an authority, established or incorporated under a law in its home country or any other statutory authority in that country to assess, accredit or assure quality and standards of educational institutions, 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/OBC (non-creamy layer)/Differently-Abled, Economically Weaker Section (EWS) and other categories of candidates as per the decision of the Commission from time to time.