birla institute of technology and science Home Rajasthan Pilani

Birla Institute of Technology and Science [BITS]: Pilani

Deemed University
birla institute of technology and science logo

Birla Institute of Technology and Science

Pilani, Rajasthan
Admission to M.Tech. Data Science and Engineering for working professional
Date: 11 Mar 2025

M.Tech. Data Science and Engineering, for a career in Data Science with India’s most comprehensive and world-class M.Tech. Data Science & Engineering Programme without taking a career break. 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.

Admissions Open. Last date to apply is March 17, 2025.

- Study without Career Break
- EMI Option With 0% Interest & 0 down payment
- Fees per semester INR 71,750

Programme Highlights
  • The M.Tech. Data science and engineering is a Work Integrated Learning Programme (WILP) spanning four semesters. BITS Pilani's Work Integrated Learning Programmes are approved by the University Grants Commission (UGC).
  • Attend live-lectures from anywhere over an online technology-enabled platform. These live lectures would be conducted by faculty mostly on weekends or after business hours enabling working professionals to pursue the programme along with their jobs.
  • Offers the most comprehensive Data Science Curriculum for working professionals.
  • The programme has an unmatched range & depth, and covers fundamentals to advanced skill & knowledge areas associated with the domain of Data Science.
  • Aimed at transitioning software & IT professionals into Data Science careers tracks closest to their interest/passion.
  • Curriculum maps knowledge and skill areas required to perform popular Data Science job roles such as Data Analyst, Data Engineer, Data Architect, and Data Scientist, etc.
  • The programme offers a set of core courses and elective courses, allowing students to specialize in Data Management for Machine Learning, Ethics for Data Science, Optimization Techniques for Analytics, Natural Language Processing, etc.
  • The programme makes use of Tools and Technologies. These include Apache Spark, Apache Storm for Big Data Systems/ Real time Processing; Tableau for data visualisation; Tensorflow for Deep Learning; Various Packages within Python for data processing, machine learning, data visualization etc.
  • The Dissertation (Project Work) in the final semester enables students to apply concepts and techniques learned during the programme.
  • The programme uses a Continuous Evaluation System that assesses the learners over convenient and regular intervals. Such a system provides timely and frequent feedback and helps busy working professionals stay on course with the programme.
  • The education delivery methodology is a blend of classroom and experiential learning. Experiential learning consists of lab exercises, assignments, case studies and work-integrated activities.
  • Students who successfully complete the programme will become members of an elite & global community of BITS Pilani Alumni.
  • Option to submit fee using easy-EMI with 0% interest and 0 down payment .
Eligibility
  • Employed professionals holding B.E. / B.Tech. with at least 60% aggregate marks and minimum one-year relevant work experience after the completion of the degree are eligible to apply.
  • Employed professionals holding MCA / M.Sc. or equivalent with at least 60% aggregate marks with university level mathematics / statistics as mandatory subjects and minimum one-year relevant work experience after the completion of the degree are also eligible to apply.
  • Applicants should possess basic programming knowledge and adequate background in Mathematics.
How to Apply
Login to our Application Centre to apply for the program Click Here.

Points to Note
  • Make photocopies of the documents mentioned in this Checklist.
  • Applicants are required to self-attest all academic mark sheets and certificates.
  • On page no. 3 a section called the Employer Consent Form. This form needs to be autthorized by your organisation’s HR or any other authorised signatory of the company.
  • On page no. 4 is a section called the Mentor Consent Form. The Mentor Consent Form needs to be signed by the Mentor. Click here to know who could be a Mentor.

Click here for more Information APPLY NOW