B.E. in Computer and Communication Engineering 

at Sri Sairam Engineering College, Tambaram Sanatorium

Sri Sairam Engineering College admissions are either merit or entrance-based. The college selects candidates for BE/ BTech programmes based on Class 12 scores. The institute also accepts TANCET and CEETA-PG scores for admission to MBA and MTech/ ME programmes, respectively. Once the selection process is over, candidates have to participate in respective exam counselling. 

Sri Sairam Engineering College considers entrance exam scores only for admission to PG courses. The college accepts TANCET scores for MBA and CEETA-PG for ME/ M.Tech courses. Once candidates have appeared for the entrance exam, they need to participate in respective exam counselling. The seats are alloted in these programmes based on the rank of the aspirants.

Sri Sairam Engineering College provides various programmes and specialisations to students. These courses are available in different streams. For obtaining Sri Sairam Engineering College admission, candidates are selected on the basis of both merit and entrance tests. For further details, candidates may visit the official website and learn more regarding the eligibility details for their preferred course choice. Accepted exams include TANCET, CEETA, GATE, etc.

The salary details for 2023 placements have not been disclosed. However, the number of students who received a particular salary range has been released, which is as follows:

Particulars	Placement Statistics (2023)
Students with salary above INR 4 LPA	689
Students with salary above INR 7 LPA	103
Students with salary above INR 15 LPA	12

Sri Sai Ram Engineering College is a good institution for MBA/PGDM, M.E./M.Tech, B.E. / B.Tech courses, and these programs are delivered by highly experienced faculty. Major specialization at Sri Sai Ram Engineering College are Mechanical Engineering, Communications Engineering, Computer Science Engineering, Electronics & Communication Engineering, Power Engineering, Production Engineering, Civil Engineering, Artificial Intelligence & Machine Learning, Electrical Engineering, Electronics Engineering, Information Technology, Instrumentation Technology.