Live zoom counselling
Virtual
Tour

Computer Science Engineering


B.Tech in Computer Science & Engineering

Eligibility

Pass in PUC / 10+2 examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronics as one of the subjects and obtained at least 60% marks (55% in case of SC/ST category) in the above subjects taken together.

Study Campus

Faculty of Engineering & Technology
45th km, NH - 209, Jakkasandra Post
Bangalore - Kanakapura Main Road
Ramanagara District - 562 112
+91 80 2757 7198
+91 7337618222

Admissions Office

JAIN Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
+91 7337618222
080-69279444

About the program

Our CSE (Computer Science Engineering) courses offer a wide range of subjects, covering the broad field of computer science and engineering. As students progress through this course, they can choose advanced courses in areas such as human-computer interaction, computer graphics and animation, artificial intelligence, machine learning, data science, natural language processing, computer networking, and computer security and privacy, among others. By taking more advanced courses, students become increasingly collaborative and creative.

Why to take this course?

Computer Science Engineering (CSE) is a highly sought-after course that combines Computer Engineering and Computer Science. It focuses on computer programming, networking, computation, algorithms, programming languages, software, and hardware. Computer Science Engineers work on designing microprocessors, personal computers, supercomputers, circuit design, and software development. The field offers excellent benefits such as high pay, job security, and an innovative and evolving environment.

Program Specific Outcome

On completion of the CSE General program, students will possess the following program specific outcomes:

  • PSO 1: Design and develop network, web-based, cloud-based computational systems.
  • PSO 2: Design efficient algorithms, understand software practices and implement code with optimization.

Duration of the program: 4 years

Curriculum

  • Physics
  • Mathematics-1 (Calculus & Linear Algebra)
  • Society and Scientific Temperament
  • Engineering Graphics & Design
  • Programming for Problem Solving
  • Universal Human Values
  • Epistemology Lab
  • Indian Constitution
  • Chemistry
  • Mathematics-2 (Probability and Statistics)
  • Electrical and Electronics for Computational Thinking
  • Technical Communication & Research Writing
  • Design Thinking
  • OOPS Using JAVA
  • Communication Skills
  • Environmental Science
  • Mathematics-3 (Discrete Mathematics)
  • Biology for Engineers
  • Computer Architecture
  • Data Structures
  • Sports and Yoga
  • Python Programming
  • Diploma Mathematics – 1 (Only for Lateral Entry Students)
  • Operating Systems
  • DBMS
  • Design and Analysis of Algorithms
  • Data Communication and Networks
  • Essentials of Machine Learning
  • Engineering in Society
  • 3D Experience and Innovation Lab
  • Diploma Mathematics – 2 (Only for Lateral Entry Students)
  • Theory of Computation
  • Professional Track (Technology/Research/Entrepreneurship)
  • Professional Elective – 1 (Full Stack Developer/Data Engineering/Blockchain)
  • Software Engineering
  • Level 2: Product innovation & Entrepreneurship (Project-Oriented, 1-Unit Theory on Entrepreneurship – Transdisciplinary Project)
  • Web Technology
  • Research Methods and Design
  • Internship 1
  • Open Elective -1
  • Professional Track (Technology/Research/Entrepreneurship)
  • Professional Elective – 2 (Full Stack Developer/Data Engineering/Blockchain)
  • Advanced Computer Networks
  • Deep Learning Laboratory
  • Professional Management Course
  • Grassroot innovation and Engineering Practice
  • Engineering Project-1
  • Professional Track (Technology/Research/Entrepreneurship)
  • Professional Elective – 3 (Full Stack Developer/Data Engineering/Blockchain)
  • Open Elective -2
  • Cryptography and Network Security
  • Engineering Project-2
  • internship-2
  • Engineering Ethics & Professional Practice
  • Advanced Deep Learning
  • Open Elective-3
  • Engineering Project-3 (Testing & Social Outreach)

Professional Elective Courses

Track 1 – Full Stack Developer

Track 2 – Data Engineering

Track 3 – Blockchain

Backend Programming

Data warehousing and data mining

Mathematics of Modern Cryptography

Server-Side Scripting

Data Analytics using SQL

Introduction to Blockchain Technologies

Data modelling with NOSQL Database

Data modelling with NOSQL Database

Cryptocurrency Technologies

RestAPIs using Spring Boot Framework

Big Data Analytics

Smart Contracts

Front-end Framework using Angular and React

Data Visualisation using Tableau

Blockchain for Cyber Security

DevOps

Database Security

Blockchain Technology in Web Development

  • Quality Engineer
  • Application developer
  • Test Automation Engineer
  • Career development executive
  • Associate Professional
  • Associate Software Engineer
  • Data Analyst
  • Data Scientist
  • Data Engineer
  • Business development Associate
  • Associate IT Consultant
  • Software Developers
  • Software Testing
  • System Engineer
  • System Analyst
  • Software Application Designers
  • Network Engineers
  • Database Administrator
  • CCNA (Cisco Certified Network Associate) – from CISCO
  • AWS Certified Cloud Practitioner – from AWS
Note
  1. The university will cover the cost of global certification (only for two certifications) and it is limited to one attempt. If students fail to complete the first certification, the university will not cover the cost for the second certification attempt.
  2. In the event that the certification industry changes the name of the certification, the university reserves the right to modify the name of the certifications accordingly.
  3. The university retains the authority to adjust the certification name it offers in accordance with industry trends.

Students are provided with a structured learning path integrated with contributions from the following organizations. This approach facilitates a holistic comprehension of diverse facets within the field, empowering students to cultivate specialized skills and knowledge as they progress through their academic journey.

  • LinkedIn
  • Google
  • CISCO
  • Microsoft