

Alliance University - Quantum AI School for Advanced Research: Admissions 2026, Courses, Fees, Placements
- Private Institute
- Estd. 2026
AU-QUASAR Popular Programmes 2026
Alliance University’s Quantum AI School for Advanced Research is renowned for its flagship BTech course which is extended across a range of specialisations with the most popular being CSE (Quantum Computing and Technologies) which covers topics of classical computer science blending them with cutting-edge quantum AI principles.
The university also features a strong emphasis on research with BTech students having to work on Undergraduate research projects and the university conducting weekly research workshops, faculty co-authored publications, and Industry-sponsored research initiatives
Students also get the opportunity to present their work at international conferences such as ICML, NeurIPS, and QTML. For more on the popular programmes at AU-QUASAR look below:
Commonly asked questions On Popular Programs
Alliance University's Quantum AI School for Advanced Research accepts valid score of entrance exams such as JEE/KCET/COMEDK/AU-QUASAR Entrance Test. The college offers admission in BTech strictly based on scores achieved in entrance exam. Personal interview is also essential.
No, Alliance University's Quantum AI School for Advanced Research does not offer direct admission in BTech programme. The institute offers admission strictly on entrance basis. The college accepts valid score of exams such as JEE/COMEDK/KCET/AU-QUASAR Entrance Test. It is followedby personal interview round.
AU-QUASAR Admission Updates 2026
The Alliance University’s Quantum AI School for Advanced Research admissions are open for 2026
The university conducts admissions to its flagship BTech programmes through entrance exam score such as JEE, KCET, COMEDK, or AU-QUASAR Entrance Test. Candidates must either register for the in-house exam or apply with other valid exam scores after they complete the course eligibility as shown here:
- Pass Class 10 and 12 from recognised Board / Council.
- Have minimum 60% score with Physics, Mathematics as compulsory subjects.
- Age limit: 17-21 years as of admission date.
Interested candidates can check out the AU-QUASAR admission dates for 2026 below:
Commonly asked questions On Admissions
Candidates who wish to get financial assistance for BTech fees at Alliance University - Quantum AI School for Advanced Research can try to apply for merit based scholarship at the institute. Additionally scholarship schemes from Karnataka government are also an option. If candidates are unable to ecure a scholarship, then they will need to apply for student loans to get financial assistance.
Registration fees for Learners Value Proposition course for BTech courses at Alliance University - Quantum AI School for Advanced Research is INR 25,000 in academic year 2026. Candidates are required to pay this fees with the BTech admission fees at the end of admission process.
Learner's Value Proposition course is a virtual mode short term course that is mandatory to complete before BTech curriculum commences.
To complete the Alliance University - Quantum AI School for Advanced Research BTech course admission, candidates need to attach copies of these following documents during admissions:
- Class 10th and Class 12th passing certificate and marksheet
- ID and address proof
- Passport-sized photograph
- JEE Mains/KECT/COME-DK scorecard
No, Alliance University - Quantum AI School for Advanced Research BTech admissions has been closed for academic year 2026. All accepted entrance exams have been concluded at this point thus, any candidate who failed to appear in them must now wait for 2027 admissions to begin.
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AU-QUASAR Infrastructure
Alliance University’s Quantum AI School for Advanced Research shares a campus with its parent Alliance University which is spread across 60 acres of land and has laboratories, classrooms, a library, hostels, cafeterias, etc. The college offers all the essential student facilities alongside its course-specific labs and facilities such as:
- On-Campus Quantum Hardware with NVIDIA DGX GPU Clusters for training AI models using industrial-grade computing power.
- Robotics & Autonomous Labs to build and test real robotics systems.
- 8-qubit superconducting quantum computing systems
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Updated on May 21, 2026
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