A Dream Destination for
Student Placements

The Office of Campus to Corporate facilitates recruitment, builds sustainable relationship with industries, and bestows resources equipped with professional skills for internships and fulltime employment. We bridge the transition of our students from campus to corporate individuals in a progressive manner. Effective training sessions are provided to secure lucrative jobs in top-notch organizations despite the market graph.

Office of Campus to Corporate - Offerings

Professional Proficiency Courses

NAME OF THE COURSE	YEAR / SEMESTER	AREA OF FOCUS
Soft Skills I	II / III	Verbal / Quants / Logical – Level 1
Soft Skills II	II / IV	Verbal / Quants / Logical – Level 2
Aptitude Skills I	III / V	Verbal / Quants / Logical – Level 3
Aptitude Skills II	III/VI	Verbal / Quants / Logical – Level 4

Best Practices

Periodic Interview enhancement sessions
Dedicated workspace for technical trainings
PLM Training for mechanical Engineering Students
Monthly Contests such as
- VelTech CODEATHON
- VelTech AptiMind
- VelTech GD/PI Pro
- VelTech Xtreme
- VelTech Scriptura
- VelTech Quiz Mania
Gamified placement platform
Three different employability assessments
- eLitmus pH Test
- Amcat (SHL)
- CoCubes (Aon)

PLM success story

Product Lifecycle Management (PLM) course
Exclusively offered to Mechanical Engineering students
Involves working with a team of engineers to manage the development, manufacture and support of products throughout their lifecycles
25 students attended the training
23 students secured placements in eminent companies

Infrastructure

Multiple auditoriums for the conduction of pre-placement talks
25 interview cabins with wi-fi access
Dedicated Placement training Centre with 150 computers

Collaboration with recruiters

J2EE training in collaboration with Wipro(from 2017)
MoU with Cognizant to offer an industry elective in 5th semester(from 2021)
Centre of Excellence with Virtusa for Java – Full Stack(from 2021)
Digital Nurture 2.0 initiatives – Salesforce, Temenos, Java, .NET, & Cyber security training in collaboration with Cognizant(from 2022)
MoU with RapidData for mendix low-code training(from 2022)
MoU with Movate Technologies for Enterprise Support Services and Full Stack Development training (from 2022)

Placements

A steady placement record witnesses the consistent progress of the institution beyond the anticipation.

Placement Enrolment Policies

All Pre-final year aspirants can enroll for campus placements
No specific eligibility for placement enrolment but it is desirable to have a minimum of 60 % throughout academics with no standing arrears
Mandatory to attend all training programs
90% attendance mandatory to be eligible for Professional Proficiency Course test
95% attendance mandatory for placement enrollment

Placement Policies – Placement Standards

Super Dream offer – 10.0 LPA and above
Core Engineering offer – 3.0 LPA and above
Dream offer – 5.0 LPA and above

COMPANY SELECTION	NEXT ELIGIBLE FOR
Selected by Super Dream / Core Engineering for placement	Eligible for any other opportunity if the CTC is double the current CTC offer – applies to both Engineering & Non-Engineering
Selected by Dream Company for Placement	Eligible for Super Dream opportunity if the CTC is double the current CTC offer – applies to both Engineering & Non-Engineering
Selected by IT services company	Non CSE /IT candidates Eligible for Core engineering opportunity Eligible for Dream and Super Dream opportunities if the CTC is double the current CTC offer IT & CSE candidates Eligible for Dream and Super Dream opportunities if the CTC is double the current CTC offer Non-Engineering candidates Eligible for other opportunities if the CTC is double the current CTC offer
Any other placement	Eligible for Core engineering opportunity

Office of Campus to Corporate – Team members

Dr. P. Vijayaraman is passionate and enthusiastic teaching professional. He has 12 years of experience in teaching, training, and campus placements. He is known for an interactive training style that encourages student participation and enthusiasm while facilitating learning. He enjoys teaching programming subjects like C, C++, Java, Python, Data Structures Algorithm, DBMS and Machine Learning.