TCS Ninja Placement Preparation Guide

TCS Ninja Placement Preparation Guide

Eligibility

Qualification Full Time Graduates from B.E/B.Tech/M.E/M.Tech/M.Sc/MCA - 2017 and 2018 YOP
Eligible Streams from UG/PG Open to All Engineering Streams
Eligible Streams from MCA & M.Sc MCA with BSc / BCA / BCom / BA (with Math / Statistics Background) M.Sc in Information Technology / Computer Science / Software Engineering
Students with Work Experience Relevant Work Experience will be considered for 2017 YOP students.
Percentage Criteria A candidate should have a minimum aggregate of 60% throughout in Class X, XII, Diploma (if applicable), UG & PG (if applicable).
Backlogs Students with backlogs are not allowed to appear for the Off Campus.
Academic Gap Criteria Overall gap in academics should not exceed 2 years
Academic Course Completion

All academic courses should be finished within the stipulated course duration as per TCS Eligibility Criteria and/or they should be complete within the duration as prescribed by the Board/University.

Only Full time courses will be considered (Part Time/Correspondence courses will not be considered).

Candidates with more than 3 years of work experience will not be permitted to participate in the TCS Selection process.

Details

About TCS Off Campus Drive - Batch of 2017 and 2018

The objective of this drive is to select the best talent in the country to fuel the growth plans of TCS with its Business 4.0® Strategy. Being a leader in the digital transformation space, we are happy to invite bright minds from across the country to explore the world of digital opportunities with TCS.

TCS Off Campus Drive - Batch of 2017 and 2018 is a Pan India drive followed by a personal interview process.

Post the assessment, interview date and location will be communicated to candidates individually.

Year Of Passing : Batch of 2017 and 2018

Compensation :
3.36 for B.E / B.Tech
3.53 for M.E / M.Tech / MCA / M.Sc

Test Pattern for TCS Off Campus Assessment:

Sections Duration No. of Questions
Verbal Ability 10 mins 10
Quantitative Aptitude 40 mins 20
Programming Concepts 20 mins 10
Coding 20 mins 1