IILM Institute For Higher Education

Alumni Association of IILM University also help alumni and do work related to sustenance of relationship among alumni and the institution. As the largest association of alumni members with over a thousand members registered, it serves as the essential ground for mentor-protégé alliances, employment/income enhancement besides several other services it offers to its members. Special organizing alumni meets, guest lectures and workshops are held by the association and the maintains interaction between the graduates and the university. It also has membership privileges, for example university library and research facilities, and services which include discounts on education and job guidance among others. Also, the association has active accounts in the social media platforms with over 5000 followers where graduates can easily and always interact with the university. For the membership fees, starting for INR 1,000 can be made.

IILM University's partnership with the University of Science & Technology, Meghalaya (USTM) enriches student experiences by fostering academic collaboration, research opportunities, and cultural exchange. This partnership facilitates knowledge sharing, joint workshops, and seminars, exposing students to diverse perspectives and innovative practices. It also enables access to a broader range of resources and expertise, enhancing learning outcomes. Students can benefit from interdisciplinary projects, explore different cultural contexts, and build networks that contribute to their personal and professional growth, making them better prepared for global challenges.

The MA Economics programme at IILM University stands out due to its industry-oriented curriculum, focus on real-world applications, and interdisciplinary approach. The programme combines theoretical foundations with practical exposure, offering specialised subjects like Econometrics, Data Analysis, and Financial Economics, preparing students for the evolving global economy. Students benefit from guest lectures, industry projects, and internships, which enhance their learning and employability. Additionally, the programme encourages the use of modern tools like R and Python for data analysis, which gives students an edge in the competitive job market.