Scholarships and teaching/research assistantships are available for deserving meritorious students. Minimum requirement for scholarships is a score of 75% and above in the Qualifying exam. Each scholarship application will be evaluated by the Scholarship Committee. The scholarships are given on an annual basis. To continue the scholarships after the first year, the student will have to maintain a minimum prescribed academic performance during the course of the programme.
Assistantships require students to commit minimum of 8 hours of work per week outside regular academic work, assisting professors on teaching or research projects. Typically an assistantship could pay a stipend of Rs. 12,000 per month depending on the type and quality of work undertaken.
Continuation of assistantship during each semester is contingent upon satisfactory academic performance and satisfactory performance in the discharge of responsibilities assigned under the scheme.
To view the detailed fee structure, Click Here .
| Sr. No. | Name of Supervisor | Research Area | Currently Registered | Vacant Seats |
|---|---|---|---|---|
| 1 | Dr. Ashish Sharma | Data Science & Business Analytics, Artificial Intelligence & Machine Learning, Web Intelligence & Intelligent Web Systems, Soft Computing & Fuzzy Intelligent Systems | - | 8 |
| 2 | Dr. Amit Jain | Cyber Security, Artificial Intelligence & Machine Learning, Deep Learning, Software Engineering, Image Processing, Data Analytics | 1 | 7 |
| 3 | Dr. Saroj Chandra | Artificial Intelligence, Machine Learning & Deep Learning, Data Science & Predictive Analytics, Computer Vision & Image Processing, Natural Language Processing (NLP), Healthcare Analytics using AI, Explainable AI (XAI), Smart Computing & Industry 5.0 Applications, Data Analytics | 1 | 5 |
Accomplish in-depth knowledge of a specific domain and apply it to identify, analyze and address the related research problems.
Apply theories, methodologies, knowledge, critical thinking and; inductive and deductive reasoning to design and drive research projects with appropriate hypothesis, experimental design, simulation, survey, case studies etc.
Instill oral, written communication skills and life-long digital learning to prepare grant proposals; and publish and present their work.
Imbibe moral/ethical values for research, publications, and patents etc.
Develop and apply knowledge of engineering, finance, and management principles throughout the R&D projects.
Interact with people from diverse backgrounds as both leaders/mentors and team members with integrity and professionalism.
PSO-1: Understand the design of the existing concepts and application of the concepts for efficiency.
PSO-2: Attempts to develop expertise in a certain professional field.
PSO-3: Individual cognitive activities aimed at acquiring new knowledge, solving theoretical and practical problems, self-education, and self-realization aid in shaping the future of specialists.