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.
class Major Courses
Some of the popular specialisations available in B.Tech Computer Science are:
Course 1: BTech/BE - Computer Science and Engineering
Course 2: BTech/BE - Computer Science and Technology
Course 3: BTech/BE - Computer Science and Engineering (Cyber Security)
Course 4: BTech/BE Computer Science and Engineering (IoT)
Course 5: BTech/BE Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Course 6: BTech/BE Computer Science and Engineering (Block Chain)
Course 7: BTech/BE Computer Science and Technology (DevOps)
Course 8: BTech/BE Computer Science and Technology (Big Data)
Course 9: BTech/BE Computer Science and Engineering (Data Science)
Course 10: BTech/BE Computer Engineering (Data Analytics)
Course 11: BTech/BE CSE - Cloud Technology and Mobile application
Course 12: BTech/BE CSE - Cloud Technology and Information science
Course 13: BTech/BE CSE - Mathematics & Computing
Course 14: BTech/BE CSE - Robotic process Automation
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 |
List of Top Btech/BE Computer Science and Engineering (Data Science) Colleges in Bangalore
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Christ University
![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]
- Electrical & Electronics Engineering [Automotive Electronics]
- Automobile Engineering
- Robotics and Mechatronics
- Information Technology
- Civil Engineering (Construction Engineering and Management)
Campus Location: Christ University, Mysore Road, Kanmanike, Kumbalgodu
Distance:
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)
![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.
Duration: 4 years, Full Time, Graduate programme
Campus Location: Dayananda Sagar University Devarakaggalahalli, Harohalli, Kanakapura Road, Ramanagara Dt., Bengaluru – 562112
Distance:
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. -
Presidency University
![Presidency University]()
Course name: BTech/BE Computer Science and Engineering (Data Science)
Affiliations:
Presidency University / VTU
Eligibility: Pre-University / Higher Secondary /10+2 examination Pass with Physics and Mathematics as compulsory subjects along with either Chemistry / Biotechnology / Biology / Technical Vocational subject Obtained at least 45% marks (40% in case of candidates belonging to Reserved Category) in the above subjects taken together Appeared for JEE (Main); JEE (Advanced); Karnataka CET; COMED-K; PUEET-2020 or any other State-level Engineering Entrance Examination.
Duration: 4 Years
Specializations:
- Computer Science and Engineering
- Computer Science and Technology
- Computer Science and Engineering (Cyber Security)
- Computer Science and Engineering (IoT)
- Computer Science and Engineering (Artificial Intelligence and Machine Learning)
- Computer Science and Engineering (Block Chain)
- Computer Science and Technology (DevOps)
- Computer Science and Technology (Big Data)
- Computer Science and Engineering (Data Science)
- Computer Engineering (Data Analytics)
- Civil Engineering
- Mechanical Engineering
- Electrical & Electronics Engineering
- Electronics & Communication Engineering
- Electronics and Computer Engineering (IT infrastructure)
- Information Science and Engineering [Business Analytics & Optimization]
- Information Science and Technology (Internet Technologies)
- Petroleum Engineering
- Civil Engineering [Infrastructure Development]
- Civil Engineering [Smart Cities]
- Electrical & Electronics Engineering [Power & Energy Systems]
- Electrical & Electronics Engineering [Automotive Electronics]
- Mechanical Engineering [Additive Manufacturing]
Campus Location: Itgalpur Rajanakunte, Yelahanka, Bengaluru, Karnataka 560064
Distance:
- The college is well conneceted to Bus Stations Railway Stations & airport
- Distance from Airport is 28.1 km
- Distance from Majestic(Central Railway Station(SBC)) is 29.8 km
List of BTech/BE Computer Science and Engineering (Data Science) colleges
Syllabus of Btech/BE Computer Science and Engineering (Data Science)
| Year | Semester | Subject |
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| Year I | Semester I |
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| Year II | Semester III |
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| Semester IV |
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| Year III | Semester V |
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| Semester VI |
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| Year IV | Semester VII |
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| Semester VIII |
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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
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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.
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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.
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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.
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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.
