M.Tech. Data Science and Engineering

• M.Tech. Data Science and Engineering is a BITS Pilani Work Integrated Learning Programme (WILP). BITS Pilani Work Integrated Learning Programmes are UGC approved.

• The programme is of four semesters, with online classes conducted mostly on weekends or after business hours. You can pursue the programme without any career break.

• 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.

• Participants 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 .

Employed professionals holding B.Tech. / B.E. / M.Sc. / MCA or equivalent in relevant disciplines with at least 60% aggregate marks + Any full-time employee who has received the first appraisal rating of “Good Performance” or above in the last annual performance appraisal cycle are eligible to apply. Applicants should possess basic programming knowledge and adequate background in Mathematics.

The above are only the minimum criteria to apply. The final decision to offer admission to an applicant rests with BITS Pilani which will be made based on an overall review of your application information.

It is strongly advised to refer and check HCL's policy details and other Eligibility Criteria of the programme before applying, as all fees are non-refundable.

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• The following fees schedule is applicable for candidates seeking new admission during the academic year 2024-25

  Application Fees (one time) : INR 1,500

  Admission Fees (one time) : INR 16,500

  Semester Fees (per semester) : INR 71,750

• The one-time Application Fee is to be paid at the time of submitting the Application Form through the Online Application Centre.

• Admission Fee (one-time) and Semester Fee (for the First Semester) are to be paid together once admission is offered to the candidate. Thus, a candidate who has been offered admission will have to pay Rs. 88,250/-. You may choose to make the payment using Netbanking/ Debit Card/ Credit Card through the Online Application Centre.

• Semester Fee for subsequent semesters will only be payable later, i.e. at the beginning of those respective semesters.

• Any candidate who desires to discontinue from the programme after confirmation of admission & registration for the courses specified in the admit offer letter will forfeit the total amount of fees paid.

• All the above fees are non-refundable.