IILM University Greater Noida Answered Questions

A personal interview is part of LLM admission process at IILM University Greater Noida. Candidates shortlisted based on academic performance and CLAT PG or CUET-PG scores are invited for the interview to assess communication skills and motivation.

Sports scholarship is granted annually for the first year of BCA. To continue it in second to fourth year, you must maintain 7 CGPA and 50% attendance in both academics and sports. Your continued participation in sports is also required. A review process will determine the scholarship renewal.

Yes, there are weekly mentoring sessions for BCA students at the university. In these sessions, faculty members and students meet. The faculty tries to solve personal and academic issues of students. This helps them stay on track and motivated throughout.

Yes, a female student can get 10% fee waiver if family income is less than INR 8 lac per annum. She must submit an income certificate issued by competent authorities, such as Tehsildar, Revenue Officer, etc. This waiver is only applicable for the first-year fee. For the second year and above, at least 75% attendance record and 7.5 CGPA is must.

Yes, BCA students can get a 10% fee waiver if they are:Residents of Kashmir and North East IndiaChildren of active/retired defence personnel Nepalese citizensSiblings of students currently enrolled at IILM University, Greater NoidaThis fee waiver is applicable on first-year tuition fee only, and if you want this waiver in the second year, you have to fall under the Scholarship Continuation Policy.

BSc Psychology covers topics to explore human behaviour. These include cognitive psychology, organisational behaviour, clinical psychology and criminal psychology. Further, areas of positive psychology, behavioural analytics and neuropsychology are also covered.

There are primarily four objectives of BSc Mathematics with Financial Analytics. This includes Master Predictive Modelling, focusing on ML, combining both Math and Technology as well as preparing for data-driven roles. At the end, you learn to integrate mathematical theory with data analytics and computational skills.

BCA in AI-ML covers Predictive modelling, algorithms and ML techniques. There are some foundational topics such as supervised and unsupervised learning, deep learning and neural networks that are also taught. Once you learn the basics, advanced techniques such as NLP, computer vision and reinforcement learning are also covered.