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Fees Details

General

₹ 2.74 L

Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.

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.

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.

BITS Pilani Frequently Asked Questions (FAQ's)

1: Who can pursue the BITS Pilani Online M.Tech Data Science and Engineering programme?

The programme is especially apt for working professionals. Candidates must employed professionals at the time of application submission. Registered business professionals can also apply for the course.

2: How do I attend M.Tech Data Science and Engineering classes?

You can attend all the classes and lectures live via online classes conducted usually over weekends or business hours for a total of 7-8 hours per week. In case you miss any lectures, you can access the recorded lectures.

3: Would I interact with the faculty members?

You can interact with the faculty members during the live online lectures and Q&A sessions. You can also use the e-learning portal, discussion forums, and message boards to interact with the faculty.

4: What kind of certificate will I receive after completing the online M.Tech Data Science and Engineering?

After successfully completing the programme, you will receive a degree certificate from BITS Pilani.

5: Will I require any type of skills to pursue the BITS Pilani Online M.Tech Data Science and Engineering?

You must possess a unique set of skills such as a strong foundation in mathematics, programming, data analysis, statistics, data visualisation, problem-solving, and critical thinking, among others.