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Course Details

M.Tech Data Science and Engineering at BITS Pilani is a two-year Work Integrated Learning Programme (WILP). Spread across four semesters, the BITS Pilani Online M.Tech Data Science and Engineering equips students with the knowledge and skills required to perform various data science job roles such as Data Scientist, Data Analyst, Data Engineer, Data Architect, and others. The classes for online M.Tech Data Science and Engineering at BITS Pilani are conducted mostly on weekends or after business hours. This allows participants to pursue the programme without compromising their existing job or other commitments.


Programme Offerings

  • UGC approved
  • Online lectures
  • Weekend classes
  • Work integrated activities
  • digital learning
  • Case Studies
  • assignments
  • Continuous evaluation

Eligibility Criteria

Individuals willing to join the BITS Pilani Online M.Tech Data Science and Engineering programme must meet the eligibility criteria defined by the university. The online M.Tech Data Science and Engineering eligibility criteria are as follows:

Candidates must be employed professionals and have completed B.E./ B.Tech. with a minimum of 60% aggregate marks and hold at least one year of work experience after their UG degree.

OR

Candidates must be employed professionals and have completed an MCA/ M.Sc. or equivalent degree with a minimum of 60% aggregate marks. They should have studied university-level mathematics or statistics as mandatory subjects and hold a minimum of one year of relevant work experience after the completion of their UG degree.

Admission Details

Eligible candidates can apply for admission to the BITS Pilani Online M.Tech Data Science and Engineering course in online mode. The admission process includes candidates’ registration, and submission of application form online, along with the required documents and application fee. Once shortlisted, candidates have to pay the course fee through various modes such as net banking/ debit card/ credit card and start learning.

Application Details

Applicants must check the steps mentioned below to fill up the online M.Tech Data Science and Engineering application form:

  • Visit the BITS Pilani official website - https://bits-pilani-wilp.ac.in/

  • Select the online M.Tech Data Science and Engineering course

  • Meet the eligibility criteria

  • Click on the ‘Apply Now’; the screen will further open into a login window

  • Register yourself by entering your email ID and a unique password

  • Once registered, click on Login

  • Enter your registered email ID and password

  • Complete the application process

  • Pay the application fee and upload the documents

After the application process, candidates may receive an Online Learning Readiness Evaluation link from the Admission Cell. Through this one-hour objective-type exercise, the institute tests candidates’ minimum mathematical and programming acumen required to pursue the programme. Once the Online Learning Readiness Evaluation is completed, shortlisted candidates will be intimated by email within one week.

The Syllabus

The BITS Pilani Online M.Tech Data Science and Engineering syllabus is structured over four semesters. The curriculum involves a set of core courses and electives, allowing students to specialise in their areas of choice. Students are required to take at least 12 courses and complete one project work. The detailed online M.Tech Data Science and Engineering syllabus at BITS Pilani is mentioned below.

  • Mathematical foundations for Data Science

  • Introduction to Data Science

  • Computer Organization and Software Systems

  • Data Structures and Algorithm Design

  • Introduction to Statistical Methods

  • Elective 1

  • Elective 2

  • Elective 3

  • Big Data Systems

  • Elective 4

  • Elective 5

  • Elective 6

  • Dissertation


Electives

  • Data Warehousing

  • Graphs – Algorithms and Mining

  • Deep Learning*

  • Probabilistic Graphical Models

  • Ethics for Data Science

  • Optimization Techniques for Analytics

  • Data Management for Machine Learning

  • Natural Language Processing

  • Design of Experiments for Data Science

  • Information Retrieval

  • Data Visualization and Interpretation

  • Stream Processing and Analytics

  • Artificial and Computational Intelligence

  • Machine Learning *

  • Applied Machine Learning

Note: Machine Learning course is a prerequisite for Deep Learning elective course.

Evaluation Process

Students of the online M.Tech Data Science and Engineering programme have to appear in the online examination conducted by BITS Pilani. To attend the examination, students have their own laptop or desktop with an active internet connection. Students can also take the examination by appearing in person at the institution’s designated examination centres located across India – Chennai, Bangalore, Hyderabad, Delhi NCR, Mumbai, Pune, Kolkata, Goa, and Pilani. It also has a designated examination centre in Dubai.

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