Back close

Amrita Vishwa Vidyapeetham Management System (AUMS)

Start Date: Sunday, Jun 01,2003

Project Incharge:Pavithra Siva, Anand Ramani, Pradeep Achan
Funded by:Various
Amrita Vishwa Vidyapeetham Management System (AUMS)

Amrita Technologies has developed an integrated world-class University Management System (UMS) which includes an e-learning platform AMRITA VIDYA, a web based software for effective management of learning services. Amrita UMS develops and supports all the major institution-wide administrative and learning management systems.

Amrita UMS practically covers the entire area of operations of the institution. It includes admission module, administration module, academics module, accounts module, examination module, and alumni Portals. The advantages of Amrita Vishwa Vidyapeetham Management System are complete educational service management and effective monitoring and tracking. It can be used for capturing student and faculty records, managing academic workflow of the institution, evaluating the student performance, generating grade sheets and certificates, etc. Amrita UMS is currently deployed in the Amrita Vishwa Vidyapeetham campuses at Amritapuri, Bangalore, Coimbatore and Kochi and has made a significant impact on practically every functional area of the institution.

Read More

Related Projects

Diversity Oriented Synthesis Applications to Flavonols, Flavones, Isoflavones and Biflavones
Diversity Oriented Synthesis Applications to Flavonols, Flavones, Isoflavones and Biflavones
Smart Services and Optimization for Microgrids (SSOM)
Smart Services and Optimization for Microgrids (SSOM)
Haemoglobin Assessment
Haemoglobin Assessment
Assessing Risk and Risk Mitigation Strategies with Small Coffee Growers in India: The Case of Kodagu District in Karnataka
Assessing Risk and Risk Mitigation Strategies with Small Coffee Growers in India: The Case of Kodagu District in Karnataka
Bio-inspired Processor Design for Cognitive Functions via Detailed Computational Modeling of Cerebellar Granular Layer
Bio-inspired Processor Design for Cognitive Functions via Detailed Computational Modeling of Cerebellar Granular Layer
Admissions Apply Now