Top BTech/BE Information Science and Engineering [Business Analytics & Optimization] Colleges in Bangalore


BTECH/BE  Information Science and Engineering in Business Analytics & Optimization (Bachelor of Engineering/Technology in  Information Science and Engineering in Business Analytics & Optimization)

The B.Tech/BE Information Science & Engineering-Business Analytics and optimisation is an 4-year undergraduate course that is divided into 8-semesters. The course imparts core knowledge about data analysis for business applications. The course curriculum provides inputs in areas of data mining technology to identify various patterns which could be useful in predicting various business outcomes.

The course offers better insight into the technique to sync an organisation’s operations with industry demands and benefit from the upcoming opportunities. The course will enable the students to learn about the latest trends of data management, statistics, big data visualisation, business intelligence and pattern recognition.

Top BTech/BE Information Science and Engineering [Business Analytics & Optimization] Colleges in Bangalore

Top BTECH/BE Information Science and Engineering in Business Analytics & Optimization Colleges in Bangalore

Last updated: May 02, 2024

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BTech/BE Information Science and Engineering [Business Analytics & Optimization] 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 Information Science and Engineering [Business Analytics & Optimization]

Year Semester Subject
Year I Semester I
  • Mathematics I
  • Physics
  • Programming and Data structures
  • Written Technical English
  • Introduction to Business Analytics
  • Introduction to Psychology
  • Appreciating Art Fundamentals

Laboratory

  • Physics Lab 
  • Programming and Data Structures-Lab  
Semester II
  • Mathematics II
  • Advanced Data Structures
  • Design Thinking
  • Environmental Science
  • Applied statistical Analysis
  • Basic Electronics Engineering
  • Spoken Technical English

Laboratory

  • Basic Electronics Engineering Lab
  • Advanced Data Structures Lab
  • Applied statistical Analysis Lab
Year II Semester III
  • Object Oriented Programming 
  • Mathematics III  
  • Formal Languages and Automata Theory  
  • Database Management Systems 
  • Operating Systems    
  • Emerging Trends in Business Analytics and Optimization 
  • Technical Report writing 

Laboratory

  • Advanced Database Management Systems Lab
  • Object Oriented Programming Lab
  • Operating Systems Lab 
     
Semester IV
  • Advanced Data Software Engineering & Project management
  • Data Communication and Computer Networks
  • Design and Analysis of Algorithms
  • Data Warehousing & Multidimensional Modelling
  • Emerging Trends in Business Analytics & Optimization
  • Placement Related Communication
  •  Data Visualization for Analytics 

Laboratory

  • Data Communication and Computer Networks Lab
  • Design and Analysis of Algorithms Lab 
  • Data Visualization for Analytics Lab
  • Data Warehousing & Multidimensional Modelling lab
Year III Semester V
  • Object Oriented Analysis and Design
  • Micro Processor & Embedded Systems
  • Operation Research & Optimization
  • Analytics for Marketing
  • Emerging Trends in Business Analytics & Optimization
  • Modern Arts and Ideas
  • Effective Communication

Laboratory

  • Object Oriented Analysis and Design Lab
  • Operation Research & Optimization lab
  • Minor Project I 
  • Micro Processor & Embedded Systems Lab 
Semester VI
  • Introduction to Artificial Intelligence
  • Big Data Analytics
  • Analytics for HR
  • Social, Web and Mobile Analytics
  • Urban Sociology
  • Analytics for Manufacturing
  • Emerging Trends in Business Analytics & Optimization
  • Being Corporate Ready

Laboratory

  • Big Data Analytics Lab
  • Block Chain for Business Lab
  • Social, Web and Mobile Analytics Lab
  • Minor Project II
Year IV Semester VII
  • Cryptography and Network Security  
  • Data mining & Prediction Modelling  
  • Introduction to Public Speaking 
  • Leadership in a Dynamic Business Environment      
  • Placement Boot Camp

Laboratory

  • Major Project I
    Data mining & Prediction Modelling Lab
    Cryptography and Network Security Lab
Semester VIII
  • Business Intelligence
  • Entrepreneurship and Product Development 
  • Pattern Recognition

Laboratory

  • Major Project II
  • Business Intelligence Lab 

Entrance Exams

Placement of BTech/BE Information Science and Engineering [Business Analytics & Optimization]

There is a huge demand for B.Tech/BE Information science engineering-business analytics students are hired in different organisations across various sectors. The advent of internet and data has created abundant job opportunities for the skilled professionals.

Some of the job roles available are

Big Data Engineer: Big Data Engineers are responsible for building, testing, and maintaining scalable Big Data ecosystems for the businesses so that the Data Scientists can run their algorithms on stable and optimized data systems. Big Data Engineers usually work closely with Data Architects, Data Analysts, and Data Scientists, all focused on one goal – to help organizations obtain meaningful insights from large and complex datasets that can be transformed into actionable business decisions. Big data is one of the best career options after computer engineering.

Average salary of a big data engineer ranges from 4 lakhs to 6 lakhs per annum

Machine Learning Engineer: Machine Learning Engineers are sophisticated ML experts who specialize in designing and building intelligent machines and systems that can learn from experience and perform human-like tasks with minimal or no human supervision. They create advanced ML algorithms that can teach computers how to perform specific tasks without being explicitly programmed for the same. Also, Machine Learning Engineers develop state-of-the-art ML and Deep Learning systems and run various ML tests and experiments to innovate unique AI-powered machines.

Average salary of a big data engineer ranges from 4 lakhs to 6 lakhs per annum

Data Scientist: Data Scientists are the masters of the Data Science domain. They are mainly concerned with creating value from complex data. Data Scientists gather data not only from the company repository but also from multiple external sources (social media, websites, blogs, etc.). They clean, organize and process this data to further analyze it for extracting the hidden patterns within it. This helps them understand how the data at hand can solve the present business challenges of an organization.

Average salary of a data scientist ranges from 5 lakhs to 7 lakhs per annum

Data Analyst: Data Analysts are the link between the two worlds – Data Science and business. While they spend a considerable amount of time in collecting relevant data from disparate sources, Data Analysts must also be able to present their findings in ways that can be understood by all the stakeholders involved in a project.

Average salary of a data analyst ranges from 4 lakhs to 6 lakhs per annum

Blockchain Developer:  Blockchain Developer/Engineers are software experts who specialize in Blockchain technology. Blockchain Developer/Engineers handle and oversee the complete life cycles of Blockchain applications, right from research and analysis to their design and execution. They use a combination of various Blockchain programming languages (Simplicity, Solidity, Rholang, JavaScript, C++, etc.) to create advanced interfaces, features, and architecture for Blockchain systems. Apart from setting up the necessary infrastructure for Blockchain applications and solutions, Blockchain Developer/Engineers also set up essential security measures to protect the systems from cyber-attacks and also to establish standard work practices.

Average salary of a blockchain developer ranges from 5 lakhs to 7 lakhs per annum

select_all Benefits of BTech/BE Information Science and Engineering [Business Analytics & Optimization]

As a B.Tech/BE information science and engineering (Business analytics and optimisation) Professional one will be enjoying the following benefits.

  1. High Salary Packages: The information science and engineering (Business analytics and optimisation) professionals are given excellent pay scales even at the starting of their career. The salaries and emoluments of the information science and engineering (Business analytics and optimisation) professionals is much higher when compared to other employees in the majority of the organisations. The organisations are ready to pay good salaries for the skilled professionals especially with niche skills like information science and engineering (Business analytics and optimisation)

  2. Information science and engineering (Business analytics and optimisation) jobs are abundant: The information science and engineering (Business analytics and optimisation) engineers have the option to work across different sectors that includes banks, investment firms, IT solutions, telecommunication companies, automated production units, IT services etc. Almost all the sector organisations hire the qualified information science and engineering (Business analytics and optimisation) skilled engineers for inhouse job roles.

  3. High Demand: Information science and engineering (Business analytics and optimisation) is the next big thing that is preparing itself to create a technology revolution in the coming years and it is in high demand in the tech industry. The information science and engineering (Business analytics and optimisation) field is the upcoming field and the industries are oriented towards adaptation of the information science and engineering (Business analytics and optimisation) -based solutions for their business in coming days. This clearly depicts that there are huge job opportunities for skilled professionals especially with the niche skills of information science and engineering (Business analytics and optimisation)

  4. Career growth is enormous: The information science and engineering (Business analytics and optimisation) field is set to create the next technological revolution in the IT industry. So, there will be emergence of new job roles in the field of information science and engineering (Business analytics and optimisation). This means that the skilled professionals will have the option to choose from the plethora of roles available in the domain and reach great heights in their careers in this emerging field. The advancement in skills helps the professionals to choose perfect roles according to their skills especially in the information science and engineering (Business analytics and optimisation) field.

Top Recruiters for BTech/BE Information Science and Engineering [Business Analytics & Optimization] students

Some of the top MNCs hiring skilled students from information science and engineering (business analytics and optimisation) are:

  • Infosys
  • TCS
  • Wipro
  • Amazon
  • SAP
  • IBM
  • Capgemini

At Galaxy Education, we help you through the process of finding and applying to the right BTech/BE Information Science and Engineering [Business Analytics & Optimization] 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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