MBA in Tourism and Travel Management 

at Central University of Andhra Pradesh, Anantapur

Central University of Andhra Pradesh provides programmes including M.A, M.Sc, MBA/PGDM, B.Voc, B.A, B.Sc, M.E./M.Tech, BBA in streams such as Humanities & Social Sciences, Science, Hospitality & Travel, Business & Management Studies, Engineering, and are excellent for students to build their careers. The institute has specializations in English, Mathematics, Applied Psychology, Travel & Tourism Management, Retail, Artificial Intelligence & Machine Learning.

Central University of Andhra Pradesh have offered admissions to UG and PG courses based on CUET PG scores. Participating universities will release the CUET Merit List 2024. These universities will release the merit list separately on their official website in online mode as CUET results 2024 are declared. Each participating university or college will publish the CUET merit list individually on their official website.

• Aspirants who appeared for the CUET 2024 exam will be required to visit the official websites of CUET participating universities to check the merit list.
• Notably, the CUET 2024 merit list will be published in the form of a pdf on the official website of the participating universities.

Central University of Andhra Pradesh cutoff for UG courses is based on CUET UG scores followed by round-wise counselling. CUET Counslling was concluded after Round 4. Tabulated below are the closing CUET UG scores for UG admissions for the Central University of Andhra Pradesh cutoff:

Central University of Andhra Pradesh accepts CUET UG for below-mentioned courses:

Central University of Andhra Pradesh Courses accepting CUET UG
BA (Hons) Political Science	BA Retail Management & IT
BSc (Hons) Economics	BBA

Central University of Andhra Pradesh offers courses such as M.A, M.Sc, MBA/PGDM, B.Voc, B.A, B.Sc, M.E./M.Tech, BBA. The courses are available in full-time mode. Central University of Andhra Pradesh has specializations such as English, Mathematics, Applied Psychology, Travel & Tourism Management, Retail, Artificial Intelligence & Machine Learning.