Last Date to Apply for Indian Admissions Closed Last Date to Apply for International Admissions Closed

OVERVIEW

B.Tech Computer Science and Engineering(Data Science) trains engineering graduates to be skilled Data Scientists. The program introduces students to the various application domains like finance, business, and healthcare wherein data science can be used to make informed decisions. 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. The emphasis is on core data science subjects along with the related computational mathematics, statistics, and computer science subjects. 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.

ELIGIBILITY AND ADMISSION CRITERIA

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SCHOLARSHIPS

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PLACEMENTS & INTERNSHIPS

PROGRAM FEES

Program Fee Indian (₹) International ($)
BTECH Computer Science And Engineering (Data Science) Tuition (Annual) 410000 7700
Registration (One Time) 10000 300
Caution Deposit (Refundable) 15000
Total (At the time of admission) 435000 8000

FROM THE

STUDENT THOUGHTS

COURSE STRUCTURE

  • Engineering Mathematics-I
  • Engineering Physics
  • Basic Civil Engineering
  • Environmental Studies
  • Basic Electronics
  • Engineering Graphics
  • Engineering Physics Lab
  • Workshop Practice

  • Engineering Mathematics-II
  • Engineering Chemistry
  • Basic Electrical Technology
  • Problem Solving Using Computers
  • Basic Mechanical Engineering
  • Communication Skills in English
  • Problem Solving Using Computers Lab
  • Engineering Chemistry Lab 0
  • Experiential Learning

  • Mathematical Foundations for Data Science-I
  • Finance & Econometrics
  • Introduction to Data Analytics
  • Object Oriented Programing
  • Data Structures
  • Computer System Architecture
  • Data Analytics Lab
  • Object Oriented Programming Lab
  • Data Structures Lab

  • Mathematical Foundations For Data Science-II
  • Database Systems
  • Machine Learning
  • Design & Analysis of Algorithms
  • Data Communications and Networks
  • Open Elective – I
  • Database Lab
  • Machine Learning Lab
  • Design & Analysis of Algorithms Lab

  • Mathematical Foundations For Data Science-III
  • Deep Learning
  • Operating Systems
  • Natural Language Processing
  • Cloud Computing
  • Open Elective – II
  • Deep Learning Lab
  • Operating Systems Lab
  • Web Technologies Lab

  • Operations Research
  • Artificial Intelligence
  • Parallel Programming
  • Big Data Analytics
  • Data Privacy & Security
  • Open Elective – III
  • Artificial Intelligence lab
  • Parallel Programming Lab
  • Big Data Analytics Lab

  • Program Elective - I
  • Program Elective - II
  • Program Elective - III
  • Program Elective - IV
  • Program Elective - V
  • Program Elective - VI
  • Industrial Training

  • Project work/ Practice School

  • Engineering Economics
  • Management of Technology
  • Data Structures & Algorithms
  • Computer System Architecture
  • Data Mining
  • Object Oriented Programming / Object Oriented Programming using Python
  • Data Mining Lab
  • Data Structures & Algorithms Lab
  • Project-based Learning 1

  • Statistics & Probability
  • Relational Database Management Systems
  • Computer Networks
  • Machine Learning / Data Analytics and Visualization
  • Cloud Computing / Digital Image Processing
  • Open Elective 1
  • Relational Database Management Systems Lab
  • Computer Networks Lab
  • Project-based Learning 2

  • Design and Analysis of Algorithms
  • Operating Systems
  • Deep Learning / Healthcare Data Analytics & Cognitive Intelligence
  • Computer Vision / NoSQL Database
  • Theory of Computation / Graph Visualization
  • Open Elective 2
  • Design and Analysis of Algorithms Lab
  • Operating Systems Lab
  • Project-based Learning 3

  • Software Engineering
  • Social Network Analysis / Data Forensics
  • Soft Computing Techniques / Web Technologies
  • Big Data Analytics / Generative AI
  • Open Elective 3
  • Professional Practice (Do the Coding as per the core course)
  • Software Engineering Lab
  • Data Science Lab
  • Project-based Learning 4

  • Business Process Mining / Software Defined Networks
  • Natural Language Processing / Nature Inspired Optimization Algorithms
  • Open Elective 4
  • Open Elective 5
  • Internship (Industry or Research)

  • Major Project

LEARN.
GROW.
ACHIEVE.

University - Recognitions & Accreditations