IILM University, Gurgaon Ranking

At IILM University Gurugram, the institution offers an MBA programme rather than a PGDM program.
To be eligible for the MBA programme at IILM University, candidates must hold a Bachelor’s degree in any discipline. Additionally, they are required to have achieved a minimum score of 50% in one of the following competitive examinations: CAT, MAT, XAT, CMAT, GMAT, ATMA, or NMAT. The admission process begins with online registration, followed by a profile review. After this, an interview is conducted, and if you pass the interview, you can enroll in the university.

IILM University offers four years BA programme. Under this programme, the university offers many specialisation spread across various field of studies Cultural Studies, Global Affairs, Environmental Studies, Media and Communication, and Gender Studies. The major subjects for BA includes literature, history, sociology, psychology, and fine arts and more. Moreover, students are allowed to choose any other relevant subject as major that aligns with their interest. This flexibility allows students to study subjects that best align with their prospect career paths.

The Master of Arts (M.A.) in Economics programme at IILM University, Gurugram, consists of 4 Semesters and lasts for two years.

The International Trek programme at IILM University offers students the opportunity to explore the economic, political, and cultural contexts of business in different regions of the world. Lasting 7-10 days, this theme-based expedition allows students to meet professionals from other countries, exchange ideas with business and government leaders, and visit partner universities in regions like the Middle East, Eastern Europe, or South East Asia. It provides a platform for students to test their leadership skills, gain industry insights, and build valuable contacts for the future.

The curriculum for the B.Tech programme includes courses in Computer Architecture, Programming languages, Probability, Statistics, Data Structures, Database Management System, Software Engineering, Data Security, Internet of Things, Computer Networks, Web Development, Artificial Intelligence, Machine Learning, Deep Learning, Optimization Algorithms, Natural Language Processing, and Computer Vision.