Indira Gandhi Delhi Technical University for Women (IGDTUW) Answered Questions

The tuition fee for BBA at IGDTUW is INR 3.2 lakh. On the other hand, the tuition fee for BBA at DTU is INR 2.7 lakh. Thus, the tuition fee for BBA at IGDTUW is affordableApplicants should consider that every university or any educational institution has their own perks and flaws. Thus, it is necessary to compare these universities on personal grounds, which is important for students, such as affordability, seats, placements, and so on. 

IGDTUW admission are based on entrance exam scores as per course requirements. The university offers various courses such as BTech, MTech, BBA, etc. Candidates must complete Class 12 to enroll for UG courses and graduation for PG courses. Indira Gandhi Delhi Technical University, through eight departments, offers UG, PhD, and PG courses to students. These courses are provided across the Computer Science Engineering, IT (Cyber Security), and various other streams. 

To apply for the B.Tech in Mechanical and Automation Engineering + MBA (Dual Degree) at IGDTUW, first appear in JEE Main Paper 1, then participate in JAC Delhi counselling to get a seat in the UG program. If you qualify, you enter the six-year integrated course. You may also get a chance in spot-round counselling for vacant seats. Make sure to track IGDTUW's official admission portal for notifications on spot rounds and eligibility. 

For B.Tech. in Artificial Intelligence & Machine Learning at IGDTUW, admission criteria for reserved category students include a relaxation in marks:
1. Other Backward Class (OBC-NCL) / Defence Category (CW): 5% relaxation of marks in the minimum eligibility requirements.
2. Scheduled Castes (SC) / Scheduled Tribe (ST) / Differently Abled Persons: 10% relaxation of marks in the minimum eligibility requirements.

B.Tech in Artificial Intelligence & Machine Learning at IGDTUW can be chosen to enhance niche expertise in the field, with objectives including adapting, contributing, and innovating new technologies and systems in AI and Data Sciences. The program offers a structured way of learning with multiple projects across different domains, and the department has a mission to provide technology-based education to enhance problem-solving skills, research, development, and innovation culture in AI and data sciences.