International School Of Technology And Sciences For Women After 10th Diploma Courses and Fees 2025

International School Of Technology And Sciences For Women has below criteria for taking admissions to it's various courses:

Courses	Eligibility
B.E. / B.Tech	Candidates who have passed Diploma in Engineering or any other examination recognised as equivalent there to, from a recognised Institute/ University, Andhra Pradesh/ Telangana are also eligible. Candidates who have appeared in Diploma in Engineering and who are awaiting their results can also apply on provisional basis. Candidates should belong to the state of Andhra Pradesh/ Telangana. Candidate should have completed 16 years of age as of 31st December of the year of admission (2023). There is no upper age limit.
MBA/PGDM	Candidate must have completed Bachelor degree of 3/4 years duration with above mentioned marks from any recognised University/Institute. 45% marks for BC categories. Candidate who are appearing for the final year degree examination are also be eligible. Degree obtained by Distance Mode Program should have recognition by Joint Committee of UGC, AICTE and DEC/DEB. Candidate who passed all the subjects of the three years of any Degree course in one sitting is not eligible for admission.
After 10th Diploma	Candidates should have passed S.S.C. Examination (Class 10th) conducted by State Board of Secondary Education, Andhra Pradesh/ Telangana or any other examination recognised as equivalent thereto by the Board of Secondary Education, A.P/TS. such as CBSE, ICSE, NIOS, A.P. Open School Society (APOSS), X class examination conducted by various State Boards of Secondary Education in India with Mathematics as one of the subjects. Candidates belonging to NIOS/APOSS/Other Examinations recognised as equivalent to SSC by A.P. Govt. should have passed all the subjects including Mathematics, Physics, Chemistry, with minimum of 35% marks in each subject. Candidates who appeared or are appearing for SSC or equivalent examination being held in April/ May-2023, and whose results are yet to be declared can also apply. There is no age restriction.
M.E./M.Tech	Candidate must have passsed B.E./B.Tech. in relevant stream and obtained at least 50% marks (45% in case of reserved category candidates) from an AICTE/UGC approved institution recognised by the Government of Andhra Pradesh as equivalent thereto. Final year appearing students may also apply on provisional basis.

International School Of Technology And Sciences For Women courses are approved by eminent Government bodies such as AICTE. The combined seats available for various programmes provided by International School Of Technology And Sciences For Women goes up to 1110.

Courses offered by International School Of Technology And Sciences For Women are B.Tech, MBA/PGDM, After 1th Diploma, M.E./M.Tech. These courses are in the stream of Engineering, Business & Management Studies. International School Of Technology And Sciences For Women offers specializations such as B.Tech specializations in Electrical Engineering, Artificial Intelligence & Machine Learning, Agriculture & Farm Engineering, Computer Science Engineering, Electronics & Communication Engineering, After 10th Diploma specializations in Computer Science Engineering, Electronics & Communication Engineering, M.E./M.Tech specializations in Artificial Intelligence & Machine Learning, Computer Science Engineering, VLSI Design.

International School Of Technology And Sciences For Women offers Degree and Diploma courses including 6 UG and 6 PG courses. Additionally, it also has After 10th Diploma courses. These programs are offerred in Full Time mode. International School Of Technology And Sciences For Women has specializations such as B.Tech specializations in Electrical Engineering, Artificial Intelligence & Machine Learning, Agriculture & Farm Engineering, Computer Science Engineering, Electronics & Communication Engineering, After 10th Diploma specializations in Computer Science Engineering, Electronics & Communication Engineering, M.E./M.Tech specializations in Artificial Intelligence & Machine Learning, Computer Science Engineering, VLSI Design.