Ph.D. in Computer Science and Engineering

    OVERVIEW

    Ph.D. in Computer Science & Engineering (CSE) at the School of Engineering and Technology (SOET), K.R. Mangalam University takes an applied approach to computer science theory and research. This programme is designed to expand one’s areas of expertise by exploring subjects such as Artificial Intelligence, Data Science, Data Analytics, Security and Privacy, Blockchains, Software Engineering, Modelling and Simulation, Wireless and Mobile Computing and Networking Computing. The Ph.D.programme is designed to prepare students for highly rewarding careers in academia and research labs.
    Ph.D. in CSE programme at K.R. Mangalam University is designed under the guidance of highly qualified, experienced and recognized faculty in their respective fields and completely based on the research carried out by the scholars under the guidance of Supervisor/Co-Supervisor(s). Ph.D. programme caters to the following categories of students

    Full-Time Scholars

    Scholars are required to devote full time on campus for the Ph.D.programme. Some scholars may be offered a teaching/research/project assistantship. The selected scholars will be required to assist in teaching/laboratories and other developmental work under the guidance of a mentor.

    Sponsored Scholars

    Employees of organizations/industries having collaborations with the university can enroll under this category.

    Part-Time Scholars

    Scholars working in organizations situated in close vicinity of the university can enroll under this category.

    full time schollar

    Program Structure

    Semester 1
    Semester 2
    • Introduction To Psychology(Life skill)
    • Perspective in Social Psychology(Entrepreneurship)
    • Introduction to Psychology Practicum/Lab
    • Communication Skills(Life skill)
    • Open Elective-1
    • Statistical Method For Psychological Research-I
    • Biopsychology
    • Biopsychology Practicum/Lab
    • Environmental Studies
    • Open Elective-2
    Semester 3
    Semester 4
    • Abnormal Psychology(Employability)
    • Introduction To Personality(Life skill)
    • Life Span development(Life Skill)
    • Introduction To Personality_Practicum/LAB
    • Psychology of Relationships (Entrepreneurship)
    • Inter Group Relations(Open Elective)
    • Disaster Management
    • Fundamental of Cognitive Psychology
    • Counseling skill(Life Skill &Employability)
    • Statistical Method for Psychological research-II
    • Counseling skill_ Practicum/Lab
    • Research Publication and Presentation (Employability)
    • Psychology and Media(Open Elective)
    Semester 5
    Semester 6
    • Organizational Psychology(Entrepreneurship)
    • Psychological Research
    • Clinical Psychology (Employability)
    • Health Psychology(Life Skill)
    • Psychological Research Practicum/Lab
    • Advance Social Psychology(Entrepreneurship)
    • Psychotherapeutic intervention(Employability)
    • Forensic Psychology(Employability)
    • Project/dissertation(DES-4)
    • Psychotherapeutic intervention Practicum/Lab
    • Value Added Course
    Semester 7
    Semester 8

    Connecting Talent to Dream Careers

    At KRMU, we are proud to collaborate with a prestigious array of Digit, Cutback Coach, Betterment, Ieso Digital Health, Medanta, and Ganga Ram Hospital. These esteemed partners actively engage in our campus recruitment initiatives and internships for the Ph.D. in Computer Science and Engineering programme.

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    Highest Package

    Career Options

    Students who complete their Ph.D. in Computer Science & Engineering will be able to secure handsome job profiles at various leading MNCs, PSUs and research institutions:

    • Computer Scientist
    • Computer Systems Manager
    • Big Data Analyst
    • Lecturer/Professor/Academician
    • Computer Network Architect
    • Research and Development
    • Data Science Engineer

    Hear straight from our Students

    Manoj Kumar

    As a Ph.D. student in Computer Science at K.R. Mangalam University, I've had the opportunity to learn groundbreaking research in artificial intelligence and machine learning. My thesis, 'Enhancing Deep Learning Algorithms for Automated Disease Diagnosis,' aims to revolutionize healthcare. The faculty's expertise and the university's state-of-the-art facilities have profoundly enriched my academic journey.

    Anjali Sinha

    KRMU's Ph.D. program in Computer Science and Engineering has surpassed my expectations as the faculty's commitment to pushing the boundaries of knowledge is truly inspiring. With a strong emphasis on research, excellence is empowering, providing me with the skills and confidence to make a meaningful impact.

    Meena Verma

    The program's flexibility allowed me to tailor my research to align with my interests, while the supportive faculty provided guidance every step of the way. The collaborative research culture and highly modern facilities helped me to discover the ever-evolving field of computer science. I’ll always be thankful to my teachers and this university who helped me to become CSE professional.

    Programme Outcomes

    Becoming more employable

    One of the reasons why you should opt for this course is that it will enhance your employability. After studying Computer Science and Engineering, you will have a wide range of career options to choose from. Having knowledge in multiple avenues will also help you in getting a good starting salary package.

    Gaining confidence in communication

    Another reason why you should consider getting a Computer Science and Engineering degree is that you will get the confidence to communicate with all sorts of people.

    Global Communication

    By opting for this course, you will be able to communicate different messages with people and enterprises all over the world. This will eliminate any barriers when it comes to global communication.

    Programme
    Highlights

    Ph.D. in CSE programme is based on research conducted by the student under the supervision of the Supervisor/Co-supervisor(s), and the duration of the programme is determined by the student’s completion of the chosen research.

    The research work is distinguished by the discovery of new facts, the formulation of new theories, or a new interpretation of known facts.

    It should demonstrate the candidate’s analytical and judgment abilities, as well as his or her ability to conduct independent research, design, or development.

    Ph.D. Admission
    Process

    Candidates are required to download the Ph.D. admission form from the university website (click here) and submit it completely filled in all respects with copies of all the documents. Shortlisted candidates will be called for written examination and interview. They will be required to pay a Registration-cum-Processing fee of INR 5000 (Refundable).

    Admission to Ph.D. in CSE programme will be based on the overall performance in Post Graduate degree, Entrance Examination, Personal Interview and positions available. Preference will be given to CSIR/UGC NET qualified candidates and those having sponsored projects.

    Selection
    Process

    WRITTEN ENTRANCE EXAMINATION
    It will broadly test the research aptitude and ability to comprehend. Candidates with NET, GATE, M Phil. or equivalent qualifications may be exempted from the entrance examination.

    PERSONAL INTERVIEW
    Candidates who clear the written entrance examination will be selected for the personal interview. The interview will be conducted by the Interview Board of the University to comprehensively judge in-depth knowledge in the concerned subject/area and ability to do research.

    Admitted candidates will be required to pay the first installment of the Ph.D.programme fee and security deposit within the specified time to confirm admission.

    Who Should Pursue

    This course is for individuals who have critical thinking and problem-solving skills. Students who are innovative and have the skills to figure out solutions for real-life problems should pursue this course. The objective of this programme is to prepare students to become industry ready and knowledgeable for a new world in which Computer Science plays a significant role and helps to transform the behaviour of students and help them to gain problem-solving techniques. Candidates who have a knack for learning the intricacies of the computer world and want to have a bright future in this field should opt for this course at K.R. Mangalam University. This course will not only enhance their already acquired skills but also make them goal-oriented.

    Frequently Asked Questions

    The minimum qualification for admission to a PhD course is a postgraduate degree or equivalent in the concerned subject from a recognized Indian University, or a postgraduate degree approved by the Association of Indian Universities/UGC/AICTE with not less than 55% marks in aggregate or its equivalent grade ‘B’ in the UGC 7-point scale.

    Yes, it is mandatory to have all required mark sheets to enrol in phd course at KRMU. A candidate’s form will be registered and he /she will be offered an entrance exam date only on submission of all required documents including last semester marksheet in case of final year appearing candidates.

    No, PhD Application forms can only be filled and submitted online through the website

    The Phd Application 2024 are accepted twice a year. For January Session – Between November to January and for July Session – Between June to August

    If you are in a job, then you must produce an NOC from your employer at the time of joining.

    Commence Your Journey
    in 6 Simple Steps

    Commence Your Journey in 6 Simple Steps

    Start your Application

    Complete payment and submit

    Pay the required Application Fee

    Take an entrance test

    K.R. Mangalam University Entrance Examination (KREE)

    Appear for interaction

    Attend our Faculty-Led Interview.

    Get the admission offer

    You will receive the offer letter after the successful interaction

    Get Enrolled

    Be prepared to embark on your journey

    B.A. (Hons. with Research ) Psychology