Top BTECH/BE Information Science and Engineering in Business Analytics & Optimization Colleges in Bangalore
Apply for BTech/BE Information Science and Engineering [Business Analytics & Optimization] course in Top 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.
Major Programmes
Some of the popular B.Tech Information Technology and its similar courses:
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
YearII
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
Placements 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
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.
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)
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.
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)
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:
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