New Age Programme
Learn cutting edge tech, in-demand skills and industry best practices
Learning Format
Live learning, 24x7 virtual labs & solve real life case studies
Great Experience
Learn from world class faculty, guided capstone project & campus immersion programme
Easy Finance
Multiple options including 0% interest EMI
Master the Data Revolution
M.Tech. Data Science & Engineering is a 4-semester programme designed for working professionals to equip them with future-proof and relevant skills in the changing industry. The programme by BITS Pilani WILP enables software and IT professionals to build the stellar skill set required to advance their careers as Data Analysts, Data Engineers, Data Architects, and Data Scientists.
Experience high-quality learning in a live, interactive, engaging mode with practical & hands-on learning on Remote & Simulation Labs.
Unique Programme Curriculum:
Customise Your Learning
The programme consists of core courses which are compulsory for everyone, and offers a wide choice in electives for learners to customise the programme as per their career aspirations. Learners need to complete 12 courses and do a Project/Dissertation in the final semester.
- Mathematical foundations for Data Science
- Introduction to Data Science
- Computer Organisation 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
- 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 pre-requisite for Deep Learning elective course.
Note: Choice of Electives is made available to enrolled students at the beginning of each semester. Students' choice will be taken as one of the factors while deciding on the Electives offered. However, Electives finally offered will be at the discretion of the Institute.
Live Interactive and Engaging
Learning Methodology
Live Learning
Live sessions for each course
32 hours of live instruction of each course on weekends in an interactive mode
Faculty-guided hands-on learning
Solve real life case studies, assignments & more and receive feedback on the same from the faculty members.
Hybrid Experience
Lab Infrastructure:
Access comprehensive big data infrastructure with Apache Spark, Hadoop, Kafka, and MongoDB. Cloud-based analytics platforms, R/Python environments, and enterprise data visualization tools like Tableau and Power BI.
Hands-on Experience:
Process massive datasets, build predictive analytics models, create data pipelines, and develop business intelligence dashboards. Work with streaming data analytics and implement end-to-end data science projects using industry-standard tools.
To experience Click Here!
Project Based Learning
Final Semester Project
Learners pick project from their workplace or industry dissertation to apply their learning and suggest improvements.
Develop Problem Solving Skills
Identify, analyze, and effectively find solutions utilizing critical thinking & analytical reasoning.
Self Learning
Flexible learning with access to digital resources
Learners can access e-learning content, recorded sessions, and assignments on our LMS anytime, anywhere.
Library access to books & journals.
Learners get subscription to the world's largest collection of eBooks and other reading resources through OpenAthens.
Experience Exceptional Growth
in Career and
Confidence
For more than 46 years, BITS Pilani, a globally renowned institution, has enabled working professionals through its WILP Programmes to grow into successful leaders and entrepreneurs across the world.
1,36,904
Working Professionals Graduated
353
CEOs and Founders
4,997
Global Heads,
Presidents & Directors
Technologies
Covered
Learn From the Best Minds:
World-Class Faculties and Industry Experts
With over 120 full-time faculty members bringing deep industry and academic expertise, and 1,000+ industry professionals contributing to the learning journey, the programmes offer a truly world-class educational experience.
Our Learners Come From the Best of Organisations
With Diverse
Backgrounds
Experience the Best of BITS Pilani:
Campus Immersion
Learners have the opportunity to visit the BITS Pilani campus during their programme, immersing themselves in a vibrant environment, making lab visits, group exercises with peers and interacting with BITS faculty and the leadership.
Earn a Prestigious Degree & Alumni Status From BITS Pilani
Programme Fee
Programme Fee
INR 3,18,400
| Details | Sem 1 | Sem 2 to Sem 4 | ||
|---|---|---|---|---|
| Application Fees (one time): | 1,500 | - | ||
| Admission Fees (one time): | 16,500 | - | ||
| Semester Fees (per semester): | 75,100 | 75,100 per semester | ||
| Total Fee: | 93,100 | 75,100 per semester | ||
Note: Semesters 2 to 4 fees are INR 75,100 each.
- Admission fees (one time) and First Semester fees are to be paid once admission is offered.
- Subsequent semester fees are payable at the beginning of respective semesters.
- Avail easy EMI option with 0% interest. To know more Click Here
Eligibility
Criteria
- 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.
Everything You Need To Know
Examination are of 2 types : Continuous and Comprehensive Exams.
- Continuous consists of quizzes, lab assignments etc. to be taken virtually on the LMS
- Comprehensive: Mid term and End term are to be taken in person at University designated exam centres
For Indian Students: List of designated exam centres
- East Zone: Kolkata, Guwahati, Jamshedpur, and Bhubaneswar.
- West Zone: Mumbai, Thane, Pune, Ahilya Nagar, Goa, Ahmedabad, Vadodara, Surat, Indore and Nagpur.
- North Zone: Delhi NCR, Faridabad, Jaipur, Chandigarh, Lucknow, Bhilwara, Udaipur and Pilani.
- South Zone: Bangalore, Chennai, Hyderabad, Mysore, Vijayawada, Visakhapatnam, Kochi, Thiruvananthapuram, Hosur, Madurai, Kancheepuram and Coimbatore.
For International Students:
- In addition to the above locations, the institution has a designated international examination centre in Dubai.
- To facilitate the learning of international students applying from anywhere except India and Dubai, the examinations will be conducted online, and they can be availed by meeting the institute's requirements.
- To know more about the requirements for online examinations, Click here
- Scanned copy of the visa for the country in which you are currently residing. The visa should be currently valid. No expired visas shall be considered
(OR) - Scanned copy of government-issued ID from the residing country
(And) - HR recommendation or endorsement letter from the employer, stating the location of your work.
- Scanned copy of the visa for the country in which you are currently residing. The visa should be currently valid. No expired visas shall be considered
- Indian students, who are temporarily based out of India, can also avail of online examinations on request by meeting the above-mentioned requirements of the institute.
To Apply Click Here
24x7 Support System and 5 regional offices
We have a 24x7 support system to address your queries over the phone or raise tickets for any support or help needed. You can drop into our regional offices to meet the BITS team.
Reach us at admission@wilp.bits-pilani.ac.in or 080-48767777
Industry Endorsements
Transformation Experienced
By Our Learners
Pursuing a degree from BITS Pilani WILP was my best career move, world-class skills, leadership and knowledge without a career break. From top faculty to weekend classes and recorded lectures, everything was just perfect! Highly Recommended!
Abhishek Kumar Mishra
Leader, Data Science,
Brilio Technologies
I wanted to upskill without a career break and BITS Pilani WILP was exactly what I needed. The faculty was great and the concepts I learnt are highly relevant in real-time situations. I strongly recommend this programme.
C R Bhargavi
Software Engineer,
Ford Motor Pvt Ltd
I was looking for a programme relevant to my work profile and found BITS Pilani WILP. The journey has been amazing, I’ve learned a lot, gained confidence and now help my team perform better by explaining complex things easily.
Prashant Thakre
Technical Architect,
GE Healthcare
FAQs
Yes, UGC has approved the continued offering of M.Tech. Data Science & Engineering as a part of WILP on the recommendations of Empowered Expert Committee. Click here to learn more.
This programme is designed for working professionals. At the time of submitting the application, candidates must be employed in another organization. Professionals who are owners of a registered business are also eligible to apply. For detailed information, including academic background, work experience, etc. refer to the programme eligibility criteria.
Contact classes are conducted over a technology enabled platform. These classes can be attended via the internet using a computer from any location. These contact classes offer similar levels of interactivity as regular classrooms at the BITS Pilani campus. These are conducted usually over weekends or after business hours for a total of 7-8 hours per week. If you miss a lecture, you can also access the recorded lecture on the internet.
Upon successful completion of the programme, students will receive a degree certificate from BITS Pilani.
Each semester has a Mid-semester Exam and a Comprehensive Exam for each course , which are conducted over weekends. Students will need to appear in-person to take these exams at exams centers in the following locations:
India Centers:
Students can take their examination at any of our 36 designated examination centres in India at the following locations:
South Zone: Bangalore, Chennai, Hyderabad, Mysore, Vijayawada, Visakhapatnam, Kochi, Thiruvananthapuram, Hosur, Madurai, Kancheepuram, Coimbatore
North Zone: Delhi NCR, Gurugram, Noida, Faridabad, Jaipur, Chandigarh, Lucknow, Bhilwara, Udaipur, Pilani
West Zone: Mumbai, Thane, Pune, Ahilya Nagar, Goa, Ahmedabad, Vadodara, Surat, Indore, Nagpur
East Zone: Kolkata, Guwahati, Jamshedpur, Bhubaneswar
International Centers: Dubai
In case students are unable to take an exam due to work-related commitments, there is also a provision of appearing for Make-up Exams.
The programme provides a high degree of interactivity between students and the faculty members and programme instructors. Q&A sessions during the contact classes (which you can attend from anywhere over a technology enabled platform) allow participants to pose questions to the faculty members, and seek guidance through voice and chat. Further interaction with faculty members and peers is enabled through the e-learning portal, by using discussion forums and message boards.
The programme features high usage of experiential learn components such as Simulations, Virtual Labs, and Remote Labs, in order to mimic the on-campus experience.
Participants will be given access to portals, that will allow them to access both cloud-based labs, as well as Campus-based physical labs. Using leading industry-recognised Software tools, Programming languages, and Simulation software, participants will be able to perform experiments and run simulations to advance their knowledge
Candidates applying to the programmes must choose a Mentor, who will monitor the academic progress of the candidate, and act as an advisor & coach for successful completion of the programme. Candidates should ideally choose the immediate supervisor or another senior person from the same organisation. In case a suitable mentor is not available in the same organisation, a candidate could approach a senior person in another organisation who has the required qualifications. For detailed information, please refer to the programme brochure.
The programme is designed for working professionals, and participants are not required to travel to a BITS campus. However, certain programme offer Campus Immersion Modules such as workshops or seminars, which are highly recommended but not mandatory.
M.Tech. in Data Science & Engineering is a post-graduate programme from BITS Pilani WILP that covers topics such as machine learning, data mining, big data technologies, data visualization, and statistical analysis.
Applicants applying for M.Tech. in Data Science & Engineering programme are required to meet the following criteria:
- Working professional with B.E. / B.Tech. or equivalent degree with a minimum of 60% overall marks.
- Along with minimum of one year of relevant work experience after your degree
Or
- Working professional with MCA / M.Sc. degree or an equivalent qualification with at least 60% overall marks
- Studied Mathematics or Statistics at the university level
Graduates of M.Tech. in Data Science & Engineering programme are in high demand in today’s world, due to the increasing importance of data-driven decision-making abilities in industries, such as IT, Retail, Automotive, Manufacturing, Finance, Healthcare, e-commerce, and Telecommunications. Some of the job roles that graduates can explore include data scientist, data analyst, business analyst, machine learning engineer, and big data engineer.
To pursue M.Tech. in Data Science & Engineering programme, applicant should have a strong foundation in mathematics, statistics, and programming. Additionally, skills, such as data analysis, data visualization, machine learning, problem-solving, and critical thinking would be bonus.
The M.Tech. in Data Science & Engineering programme spans two years and is divided into four semesters.
