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

Unlock endless opportunities with a BTECH/BE Computer Science and Engineering in Big Data degree - Empower your future!

Big Data is a term that describes the large volume of data of both structured and unstructured that includes a business on a day-to-day basis. But it’s not the amount of data that’s important, but it’s important what the organisations do with this huge data and it matters a lot. Big data can be analysed for the insights it provides that apparently leads to better decisions and strategic business moves by the decision-makers in the organisations. The term ‘big data’ refers to data that is large, fast or complex that it’s difficult or impossible to process using traditional methods and requires specialised techniques and skills to decipher the huge data. 
The act of accessing the strong large amounts of information for analytics has been around a long time. But the concept of big data gained momentum in the early 2000s, when industry analysts articulated what is now is the mainstream definition of big data as the three “Vs” i.e.” Volume, Velocity, Variety”. 
Lately the term ‘big data’ has been under limelight, but not many people know about big data till today. Businesses, governmental institutions, healthcare providers and financial as well as academic institutions are all leveraging the power of big data to enhance business prospects along with improved customer experience. With the increase in social media the big data gained a lot of importance in the last 5 years and it is predicted that this trend continues to remain high in coming days in the tech field.

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
Duration
4 Years
Level
Level
Bachelor Programme
Mode of Admission
Mode of Admission
Merit /Management
Eligibility
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
Fees

Rs. 80,000 to Rs. 2,50,000 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 Technology (Big Data)

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

Placements 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.

Top Recruiters for BTech/BE Computer Science and Technology (Big Data) students

intel amazon capgemini genpact google hp infosys wipro cognizant dell deloitte ey jpmorgan microsoft oracle tcs techmahindra accenture

At Galaxy Education, we help you through the process of finding and applying to the right BTech/BE Computer Science and Technology (Big Data) 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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