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At BITS Pilani WILP (Work Integrated Learning Programmes), we take pride in shaping the future of individuals. We are here to impart relevant and renewed skills that help unlock the true potential of professionals.
B.Tech. Engineering Technology is a BITS Pilani Work Integrated Learning Programme (WILP). BITS Pilani Work Integrated Learning Programmes are UGC approved. Option to pay fees using easy EMI with 0% interest and 0 down payment
Welcome to the BITS Pilani WILP e-Learn Portal. Existing Students, Faculty & Staff — Please login to get started. Others & New Applicants — Please visit our website here .
BITS Pilani Work Integrated Learning Programmes offers M.Tech., B.Tech., MBA, M.Sc., Diploma and Certificate programmes to working professionals. These programmes can be pursued without taking...
BITS, Pilani is organizing the International Conference on Work Integrated Learning - 2024 (ICONWIL-24) at its Hyderabad campus with the aim of bringing a sharp focus on the extensive domain of Work Integrated Learning and offer a platform to share insights on diverse aspects that shape its landscape.
Work Integrated Learning Programme (WILP) at BITS Pilani is an industry-oriented education program that combines practical work experience with theoretical knowledge. The program allows students to apply the concepts they have learned in the classroom to real-world situations while they are still in college.
Since 1979, BITS Pilani Work Integrated Learning Programmes (WILP) have enabled technology professionals to enhance their academic qualification while continuing their employment with their respective employer organizations.
B.Tech. Engineering Technology. Employed professionals in Engineering industries with minimum 2 years relevant work experience, and holding a Technical Diploma / B.Sc. or its equivalent, with adequate background in Mathematics.
Admissions Office, BITS, Pilani - 333 031 (Rajasthan) India. Call us on: +91-80-48767777
This four-semester programme by BITS Pilani WILP enables Software and IT professionals to build stellar skill set required to advance their career as a Data Analyst, Data Engineer, Data Architect, and Data Scientist, etc.
