Top Btech/BE Computer Science and Engineering (Data Science) Colleges in Bangalore
BTECH/BE Computer Science and Engineering in Big Data (Bachelor of Engineering/Technology in Computer Science and Engineering in Big Data)
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
List of BTech/BE Computer Science and Engineering (Data Science) colleges
Christ University
Course name: BTech/BE Computer Science and Engineering (Data Science)
Affiliations:
Christ University (Deemed University)
Eligibility: Eligibility for the programme is a pass at the +2 level (Karnataka PUC / ISC / CBSE / NIOS / State Boards) Examination from any recognised Board. Candidates should have studied Physics, Chemistry and Mathematics at +2 level and obtained a minimum aggregate of 50% in Physics, Chemistry & Mathematics and 50% in Mathematics.
Duration: 4 Years
Specializations:
Computer Science and Engineering
Computer Science and Engineering (IoT)
Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Computer Science and Engineering (Data Science)
Civil Engineering
Electrical & Electronics Engineering
Electrical & Electronics Engineering [Power & Energy Systems]
The University is well connected with Airport, Railways & Bus
Distance From Bangalore Airport : 41 km
Distance From City Bus Stand :10.4 km
Dayananda Sagar University (DSU)
Course name: BTech/BE Computer Science and Engineering (Data Science)
Affiliations:
Dayananda Sagar University, Private University
Eligibility: Pass in PUC / 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry / Biotechnology / Biology / Computer Science / Electronics / Technical Vocational subjects and obtained at least 45% marks (40% in case of candidate belonging to SC/ST & OBC category) in the above subjects taken together, of any Board recognized by the respective State Governments / Central Government / Union Territories or any other qualification recognized as equivalent there to.
The College is located in the residentioal area of Bangalore, well connected to Railways, Airways and Bus Connectivity.
Distance from Central Railways is Aprox. of 10 km.
Distance from Kempegowda International Airport is Approx. of 45 Km.
Top BTECH/BE Computer Science and Engineering in Data Science Colleges in Bangalore
Last updated: Mar 30, 2022
class Major Courses
Some of the popular specialisations available in B.Tech Computer Science are:
Btech/BE Computer Science and Engineering (Data Science) course details
Duration
4 Years
Level
Bachelor Programme
Admission Mode
Merit/Management
Entrance Exams
Karnataka CET / COMED-K / JEE Advance / JEE-Main
Fees
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:
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)
Year
Semester
Subject
Year I
Semester I
Basic Electrical Engineering
Basics of Civil Engineering and Engineering Mechanics
Biology for Engineers
Engineering Graphics
Mathematics - I
Physics
Semester II
Basic Electronics
Basic Mechanical Engineering and Nanoscience
Chemistry
Computer Programming
Mathematics - II
Technical English
Workshop Practice Lab
Year II
Semester III
Operating Systems
Programming Paradigm
Computer Organization And Architecture
Computer Graphics With Open Gl
Digital Systems
Discrete Mathematics
Semester IV
Probability And Queuing Theory
Data Structures And Algorithms
Data Base Management Systems
Computer Networks
Microprocessors And Its Applications
Professional Development - II
Year III
Semester V
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 VI
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
Year IV
Semester VII
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 VIII
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
Placement 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.
select_all 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
There are a good number of careers available for B.Tech computer Science & Engineering (Data Science) students in the industry. Some of the excellent placement opportunities available for B.Tech Computer Science & Engineering (Data Science) are given below
Data Analyst: As a data analyst one is responsible to perform tasks like pulling data out of SQL databases and produce basic data visualisations and reporting dashboards. The data analysts are also responsible to perform A/B testing of generated data and interpret the same and convert the obtained data into an understandable format for business development teams and management teams.
Salary & Emoluments: Data Analyst will receive a salary that ranges from 6 lakhs to 8 lakhs per annum.
Data Engineer: As a data engineer one is responsible to perform batch processing or time processing on gathered and stored data. Data engineers are also responsible for building and maintaining data pipelines which create a robust and interconnected data ecosystem within an organisation, making information accessible for all the data scientists.
Salary & Emoluments: Data Engineer will receive a salary that ranges from 4 lakhs to 6 lakhs per annum.
Data Scientist: The Data Scientists are required to find, clean and organise data for companies. Data scientists should be able to analyse large amounts of complex raw and processed information to find patterns that will benefit an organisation and help drive strategic business decisions.
Salary & Emoluments: Data Scientist will receive a salary that ranges from 7 lakhs to 9 lakhs per annum.
Machine Learning Engineer: The Machine Learning Engineer is responsible for creating data funnels and delivering software solutions. They typically need strong statistics and programming skills, as well as a knowledge of software engineering. In addition to designing and building machine learning systems, they are also responsible for running tests and experiments to monitor the performance and functionality of such subjects
Salary & Emoluments: Machine Learning Engineer will receive a salary that ranges from 8 lakhs to 15 lakhs per annum.
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