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  • 34

    industry collaborations

  • 16+

    lakhs in scholarships

  • 65%

    faculty members hold PhD

  • 95%

    placement for students

  • 14+

    lakhs in scholarships





B.Tech Computer Science and Engineering(Data Science)trains engineering graduates to be skilled Data Scientists. The emphasis is on core data science subjects along with the related computational mathematics, statistics, and computer science subjects.

The program introduces students to the various application domains like finance, business, and healthcare wherein data science can be used to make informed decisions.

The course is a multi-campus model and promotes one-semester mandatory student mobility in 4/5/6th semester, between the MAHE Manipal, Manipal University Jaipur, and Sikkim Manipal Institute of Technology campuses.





It is an eight-semester programme that helps software and IT professionals build the skillset required to advance their careers as Data Analysts, Data Engineers, Data Architects, and Data Scientists, among other roles. The programme covers fundamental to advanced skill and knowledge areas.

Data science is the field in which various tools and methods from the fields of applied statistics, mathematics, and computer science are applied in order to gain greater insight and to make better and more informed decisions for a variety of purposes by analysing a large amount of data.

The curriculum of the DSE programme is designed to provide students with the fundamentals of applied statistics, applied mathematics, and computer science that are required in the context of data science and its applications. Additionally, the DSE programme places a significant emphasis on students gaining hands-on experience through the use of practicals, labs, and the experience of dealing with issues that are relevant to the real world.




  • To prepare the next generation practitioners and researchers with human values and ethics to thrive in a data-centric world.




  • To establish the department as the epitome of motivation and guidance among the aspiring engineers.
  • To nurture academic, research, and professional excellence in the domain of Data Science and engineering.
  • To transform young learners into competent data engineers by inculcating holistic values




  • Be prepared with a varied range of expertise in different aspects of data science such as data collection, visualization, processing, and modelling of large data sets.
  • Acquire good understanding of both the theory and application of applied statistics mathematics and computer science based existing data science models to analyse huge data sets originating from diversified application areas.
  • Be able to create models using the knowledge acquired from the program to solve future challenges and real-world problems requiring large scale data analysis.
  • Be better trained professionals to cater the growing demand for data scientists and engineers in industry.




  • One of India’s first B.Tech Programs in Computer Science and Engineering(Data Science)
  • Core Competency in Data Science, Computational Mathematics and Statistics
  • Minor Specialization in Finance, Business,  Health Care
  • Multi-campus Model with mandatory student mobility in 4/5/6th  semester
  • Industry collaboration for the teaching-learning process
  • The option of Semester Abroad
  • The option of Integrated Master’s Program with foreign universities





  • Data Security
  • Data Engineering
  • Applied Statistical Analytics
  • Computer Vision
  • Business Analytics
  • Data Warehousing




  • Data Scientist
  • Data Analyst
  • Data Engineer
  • Data Mining Engineer
  • Data Architect
  • Data Statistician
  • Project Manager




  • State-of-the-art CIDCR computing lab equipped with EEG Server.
  • MoU signed with many leading universities and industry to facilitate students with latest technologies and to make them industry ready.
  • UG & PG curriculum keeps sync with the latest industry demands aided by program electives.
  • The electives can be chosen by students to specialize in any of chosen vertical of computing domain.
  • Open Electives from other fields to broaden a student's perspective and technical acumen for their overall growth.
  • Industry visits for various students to get and industrial perspective and product development.
  • Emphasis on project-based learning by emphasizing more hands-on, lab projects & various other projects and research work.
  • PARAM Shavak - a desktop supercomputer built by CDAC Pune, powered with 2 multicore CPUs each with minimum 12 cores and 3 Tera-Flops peak computing power with 8 TB of storage.
  • Professional Chapters – Association for Computing Machinery (ACM), IEEE, and ACM-W and IEEE Women in Engineering (WIE) chapters.
  • Project Based Learning.
  • Industry Certification.
  • Bi-Monthly Coding challenges, hackathons and competitions under ACM and IEEE Student Branch.
  • Placement's assistance (Mock Drives/Interviews).
  • Students' involvement and mentorship for various coding challenges and competitions.
  • Research seminars and workshops for students organized time to time.
  • ACM Student volunteering for technical and professional growth and getting a chance to win some national and international awards like epsilon-Pi, India chapters award by ACM (Association for Computing Machinery).




Conatct person

Contact Number



King Mongkut’s University of Technology

Dr Akhilesh Kumar Sharma




Department of Data Science and Engineering offers the following UG and PG programs:


The goal of data scientists is to find valuable trends and insights that will optimise business processes, identify opportunities using research and management tools, and minimise risks by utilising large amounts of information in novel ways.

Director, School of IT

Head of the Department





The area of research include: • Theoretical Computer Science • Software Engineering • Databases, Data Science and Big Data • Cryptography • Computer Networks • Cloud Computing • Algorithms & Data structures • Parallel Processing/Programming • And many other domains of CSE • Digital Image Processing • Data-mining