Major Programmes

BTech/BE - Computer Science and Engineering

BTech/BE - Computer Science and Technology

BTech/BE - Computer Science and Engineering (Cyber Security)

BTech/BE Computer Science and Engineering (IoT)

BTech/BE Computer Science and Engineering (Artificial Intelligence and Machine Learning)

BTech/BE Computer Science and Engineering (Block Chain)

BTech/BE Computer Science and Technology (DevOps)

BTech/BE Computer Science and Technology (Big Data)

BTech/BE Computer Science and Engineering (Data Science)

BTech/BE Computer Engineering (Data Analytics)

BTech/BE CSE - Cloud Technology and Mobile application

BTech/BE CSE - Cloud Technology and Information science

BTech/BE CSE - Mathematics & Computing

BTech/BE CSE - Robotic process Automation

Other BTech Programme

Duration

4 Years

Level

Bachelor Programme

Mode of Admission

Merit /Management

Eligibility

Pass in PUC / 10+2 or equivalent with Physics and Mathematics along with Chemistry / Bio-technology / Computer Science / Biology / Electronics with English as Language having obtained an aggregate minimum of 45% marks & 40% in case of Karnataka SC, ST & OBCs and secured a rank in the Entrance Test (Entrance test not applicable to NRI / Foreigners ).

Fees

Rs. 80,000 to Rs. 2,50,000 per annum

Admission Process

Merit - The candidates seeking admission under merit to B.Tech. programme should qualify CET/COMED-K/JEE/JEE-Main Exam. The qualified students are then required to undergo, JEE counselling, CET counselling and COMED-K counselling to get admission to B.Tech. programme.
Management - Students looking for Management seats can go for Direct Admission

Syllabus of BTech/BE Computer Science and Technology (Big Data)

Year 1
Year 2
Year 3
Year 4

Semester

Subject

Semester 1

Mathematics I
Physics
Programming and Data structures
Big Data Overview
Urban Sociology
Written Technical English
Environmental Studies

Laboratory

Physics Lab
Programming in C Language Lab

Semester 2

Mathematics II
Database Management Systems
Advanced Data Structures
Spoken Technical English
Introduction to Psychology
Design Thinking
Basic Electronics Engineering

Laboratory

Advanced Data Structures Lab
Database Management Systems Lab
Basic Electronics Engineering Lab

Semester

Subject

Semester 3

Design and Analysis of Algorithms
Mathematics III
Computer System Architecture
Advanced Database Management Systems
Operating Systems
Technical Report writing
Big Data Modelling
Emerging Trends in Big Data

Laboratory

Advanced Database Management Systems Lab
Design and Analysis of Algorithms Lab
Operating Systems Lab

Semester 4

Software Engineering & Project management
Micro Processor & Embedded Systems
OOPS through JAVA
Big Data Analysis
Appreciating Art Fundamentals
DevOps Overview
Emerging Trends in Big Data
Placement Related Communication
Big Data Storage

Laboratory

Micro Processor & Embedded Systems Lab
JAVA Lab
Big Data Storage Lab

Semester

Subject

Semester 5

Object Oriented Analysis and Design
Computer Graphics
Advanced Functional Thinking
Formal Languages and Automata Theory
Data Visualisation
Emerging Trends in Big Data
Effective Communication

Laboratory

Computer Graphics Lab
Object Oriented Analysis and Design Lab
Minor Project 1
Advanced Functional Thinking Lab

Semester 6

Data Communication and Computer Networks
In-Memory Processing
Big Data Search
Agile Practices in Software Development
Emerging Trends in Big Data
Being Corporate Ready
Disk Based Processing

Laboratory

Data Communication and Computer Networks Lab
In-Memory Processing Lab
Big Data Search Lab
Minor Project 2
Disk Based Processing Lab

Semester

Subject

Semester 7

Cryptography and Network Security
Streaming Processing
Application Containerization
Predictive Analytics
Placement Boot Camp
Artificial Intelligence

Laboratory

Streaming Processing Lab
Cryptography and Network Security Lab
Major Project I

Semester 8

System Monitoring
Leadership in a Dynamic Business Environment
Real World Scalable Architectures
Entrepreneurship and Product Development
Big Data Security

Laboratory

Major Project-2

Engineering Entrance Exams

Placement of BTech/BE Computer Science and Technology (Big Data)

Big data is influencing the IT industry like the other few technologies or trends that have done in the past. If analysed effectively, massive information caches can help companies improve their decision-making and can enable them to compete on another level. The big data has the potential to change the way governments, organisations, and academic institutions conduct business and make discoveries and it's likely to change how everyone lives their day-to-day lives.

The big data is shaping our very lives in a number of ways by helping the organisations to extract better businesses, from the obtained data that is interpreted by the big data analysts. The big data professionals at initial days of their career will be working as team members of data management in the given organisation. Within a few years of their career they can become team leaders or even project managers, and can lead a team of big data professionals.

Benefits of BTech/BE Computer Science and Technology (Big Data)

The Computer Science & Engineering (Big Data) professionals will enjoy the following benefits in their career

High Salaries: With increasing amounts of growing data, the demand for B.Tech Computer Science & Engineering (Big Data) students are increasing day by day. Companies like Amazon, Google, Facebook, Microsoft are paying a pretty high amount of money to their Big Data professionals to work on their customer data.
Big Data is used in every industry: The Big data professionals are not restricted to work for just a few industry segments, but their contribution is for all kinds of industry verticals. One can work in any of the domains like finance, manufacturing, information technology, communications, retail, logistics and automobiles. Each industry uses big data for taking a competitive advantage and making data driven decisions. The time is ripe to choose big data as a next career option.
Skill Enhancement: Learning big data can be one’s best investment in a career. One can expect a good reward from developing a skill of big data, that not only helps them at their professional levels but also at personal levels. In general, the domain of big data is full of unsolved problems and puzzles to solve, which can greatly enhance one’s analytical skills and reasoning.
Provides Competitive Advantage: One of the key abilities of big data is to make data driven decisions. Data-driven decisions making refers to the practice of making decisions on the analysis of data, rather than making decisions purely on intuition. Instead of making a decision as per past experiences, the decision is based on possible future trends in case of usage of big data. This is the competitive edge that the big data analysts can expect in their careers.

Better Career Opportunities: With the increase in datasets across the universe, the demand for big data professionals is very hot. According to estimates the data will further continue to grow to zettabytes in 2025. This means that the need for data scientists, data engineers and data analysts is more as they are required to play a bigger role in the future world of technology.