Top BTECH/BE Computer Science and Engineering in Data Science Colleges in Bangalore

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Data Science or data driven science is an emerging field that deals with the study of large amounts of data. It involves the developing methods of recording, storing and analysing large amounts of data to effectively extract useful information for new business strategies in an organisation. The goal of data science is to gain insights and knowledge from any type of data i.e. both structured and unstructured and get the useful information from both types that is beneficial for an organisation. 

Data Science is typically related to computer science and engineering but is a separate field. The B.Tech Computer Science & Engineering (Data Science) students are required to create programmes and algorithms to record and process data, while the data science covers any type of data analysis, which may or may not use computers.  

List of Top Btech/BE Computer Science and Engineering (Data Science) Colleges in Bangalore

Christ University
Dayananda Sagar University (DSU)

Major Programmes

4 Years
Bachelor Programme
Mode of Admission
Mode of Admission
Merit /Management

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 ).


Merit Quota: Rs.25,000 to Rs 75,000 per annum
Management Quota: Rs.75,000 to Rs. 10,00,000 per annum

Admission Process
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 Engineering (Data Science)

Semester Subject
Semester 1
  • Basic Electrical Engineering
  • Basics of Civil Engineering and Engineering Mechanics
  • Biology for Engineers
  • Engineering Graphics
  • Mathematics - I
  • Physics
Semester 2
  • Basic Electronics
  • Basic Mechanical Engineering and Nanoscience
  • Chemistry
  • Computer Programming
  • Mathematics - II
  • Technical English
  • Workshop Practice Lab
Semester Subject
Semester 3
  • Operating Systems
  • Programming Paradigm
  • Computer Organization And Architecture
  • Computer Graphics With Open Gl
  • Digital Systems
  • Discrete Mathematics
Semester 4
  • Probability And Queuing Theory
  • Data Structures And Algorithms
  • Data Base Management Systems
  • Computer Networks
  • Microprocessors And Its Applications
  • Professional Development - II
Semester Subject
Semester 5
  • Computer Oriented Numerical Analysis
  • Formal Language and Automata Theory
  • Compiler Design
  • Fuzzy Logic
  • Internet of Things
  • Design and Analysis of Algorithm
  • Software Engineering
  • Internet and Web Programming
  • Computer Networks
Semester 6
  • Solid Waste Management
  • Environmental Impact Assessment
  • Disaster Management
  • Cryptography and Network Security
  • Object Oriented Analysis and Design
  • System Software
  • Design Patterns
  • Resource Management Techniques 
  • Embedded Boards for IoT Applications
  • E-Waste Management and Radiation Effect
  • Nonconventional Energy Sources
  • Introduction of Hybrid Electric Vehicles
  • Robotics and Automation
  • Numerical Solution of Differential Equations
  • Basic Automobile Engineering
  • Project Management
  • Basic Aerospace Engineering
Semester Subject
Semester 7
  • Artificial Intelligence
  • Cloud Computing
  • Mobile Application Development
  • Natural Language Processing
  • Research Methodology
  • Graph Theory
  • Wireless Networks
  • Internship
  • Service Learning
  • Information Security
  • Simulation and Modeling
  • Database Administration
Semester 8
  • Cyber Security
  • Grid Computing
  • Mobile Computing
  • Software Testing
  • Software Process and Project Management
  • Software Quality Management
  • Introduction to Data Science
  • Soft Computing
  • Comprehension
  • Project Work
  • Indian Constitution
  • Parallel Computing

Entrance Exams

Placements of Btech/BE Computer Science and Engineering (Data Science)

Data Science is one of the hottest and trending technologies across the globe. It is widening its areas of applications in organizations, from top MNCs to start-ups. Data Science is the bridge connecting us to the world of automation. Data Science is the substructure on which Artificial Intelligence and Machine Learning are built. 

So, it is obvious that the base (Data Science) of automation (robots, chatbots, virtual assistants, etc.) is likely to escalate the employability of skilled individuals. The data science professionals will be joining as team members and after a few years, they can become team leaders and even project managers.

According to various surveys it is predicted that Data Science jobs would likely grow by 30 %. Also, it is predicted that nearly about 11 million jobs in the field of data science will be created by 2027.

Benefits of Btech/BE Computer Science and Engineering (Data Science)

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

  • It’s in huge demand: Data Science is greatly in demand and data science professionals are required in large numbers. More and more organisations are adopting data science technologies in the coming days. So, the demand for data Science professionals increases in both start-ups and top MNCs in near future. Prospective job seekers in the field of data science have numerous opportunities in the future. It is the fastest growing job on LinkedIn, and it is predicted to create nearly around 11 million jobs by 2027 and thus Data Science is a highly-employable job sector.

  • Abundance of Positions: There are very few people who have the required skills to become complete Data Scientists. This makes Data Science less saturated as compared to other IT sectors. Therefore, data science is a vastly abundant field and has a lot of opportunities. The field of data science is high in demand but low in supply of data scientists. So, there are more positions available for data science professionals.

  • A Highly Paid Career: Data Science is one of the most paid jobs in the world. According to different job listing websites surveys, the data scientists are paid better salary packages when compared to other professionals in an organisation. This makes data science a highly lucrative career option.

  • Data Science is Versatile: There are numerous applications of data science. It is widely used in health-care, banking, consultancy services and e-commerce industries. Data Science is a very versatile field. Therefore, the data science professionals have the opportunity to work in various fields.

  • Data Scientists are Highly Prestigious: Data Science allows companies to make smarter business solutions. Companies rely on data scientists and use their expertise to provide better results to their clients. This gives data scientists an important position in an organisation.

Top Recruiters for Btech/BE Computer Science and Engineering (Data Science) students

biocon jpmorgan-chase intel amazon capgemini genpact google apple bosch cognizant dell deloitte ey fedex glenmark globalstep goldman-sachs ibm jpmorgan microsoft

At Galaxy Education, we help you through the process of finding and applying to the right Btech/BE Computer Science and Engineering (Data Science) Colleges in Bangalore. Contact us in below details to get more information on admission procedure and how to secure your seat in these colleges:

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