Brief Introduction to Information Science (Business Analytics & Optimisation)
Information Science is a complex, interdisciplinary area of study concerned with the collection and organisation of information as well as how society and individuals relate to information. Information Science involves several disciplines, including behavioural science, social science, business and computer science. It also deals with various forms of information and communication, process evaluation, analysis and storage of information by machines and people.
Information science involves working with computers and enormous quantities of information, but mainly focuses on the systems themselves and how they are used, leaning heavily on investigation and research.
Business Analytics is the process by which businesses use statistical methods and technologies for analysing historical data in order to gain new insights and improve strategic decision making. Basically, business analytics is a data management solution and business intelligence subset that refers to the use of methodologies such as data mining, predictive analytics and statistical analysis in order to analyze and transform data into useful information, identify and anticipate trends and outcomes and ultimately make smarter, data driven business decisions.
Few lines about B.Tech/BE Information Science & Engineering-Business Analytics & Optimisation
The B.Tech/BE Information Science & Engineering-Business Analytics and optimisation is an 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.
Eligibility for B.Tech/BE Information Science & Engineering- Business Analytics & Optimisation
The students who have completed their PUC or 10+2 with any of the three core subjects such as Physics/Chemistry/Mathematics/Computer Science/Biotechnology/Electronics/Biology with a 50% aggregate marks from recognised board are eligible to apply for B.Tech/BE Information Science & Engineering- Business Analytics & Optimisation.
The students with relevant qualifications can join B.Tech/BE Information Science & Engineering- Business Analytics & Optimisation courses by two modes. The first one is Merit based admission and the second one is Direct admission.
Let’s discuss in detail
The students who are interested to join B.Tech/BE Information Science & Engineering- Business Analytics & Optimisation course should appear for CET/COMED-K/JEE or any other institutional-based entrance exams and undergo counselling to choose their desired colleges for merit seats. The engineering college allotts the merit seats to the students according to their rankings and marks obtained by them in their entrance exams and marks scored in PUC or 10+2.
There are two types of counselling for the eligible students
The students who are interested to join the government engineering colleges and other engineering colleges affiliated to the government should undergo the counselling procedures of Karnataka Examination Authority (KEA).
The students who intend to join for the merit seats under government quota are required to complete the counselling procedures and join for the B.Tech/BE Information Science & Engineering- Business Analytics & Optimisation course in their chosen colleges. The Engineering colleges under the Karnataka Examination Authority (KEA) are affiliated to the Visveswaraya Technological University (VTU).
2. COMED-K Counselling
The students who are interested to join the private autonomous engineering colleges and deemed or private universities that are affiliated to All India Council for Technical Education (AICTE) are required to apply for the COMED-K counselling procedures. The students should qualify the COMED-K counselling procedures to get admission to their desired private autonomous engineering colleges or deemed or private universities for Engineering programmes.
The students have another option of getting admission to B.Tech/BE Information Science & Engineering- Business Analytics & Optimisation course by direct admission process. Under this mode of admission, the students are given direct admission to their desired colleges and deemed or private universities under management quota. The direct admission students enjoy many special privileges like that they are not required to apply for any entrance exam for getting admissions. They have an option to choose their desired colleges and universities and book their seats in advance even before the starting of the academic year. The students who are interested in direct admissions are required to contact Galaxy Educational Services for more details.
The students of B.Tech/BE Information Science & Engineering -Business Analytics and Optimisation will be studying the following subjects during their course duration.
Subjects of Study
Programming and Data Structures
Introduction to Business Analytics
Appreciating Art Fundamentals
Advanced Data Structures
Applied Statistical Analysis
Basic Electronics Engineering
Object Oriented Programming with C++
Database Management Systems
Emerging Trends in Business Analytics & Optimisation
There is a huge demand for B.Tech/BE Information science engineering-business analytics and Optimisation students are hired in different organisations across various sectors. The advent of the internet and data has created abundant job opportunities for the skilled professionals.
Salary & Emoluments
The fresh B.Tech/BE Information Science & Engineering-Business Analytics & Optimization students will be easily earning around 5 lakhs to 7 lakhs per annum. The experienced professionals will be earning around 7 lakhs to 15 lakhs per annum.
Some of the important 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.
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.
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 to understand how the data at hand can solve the present business challenges in an organization.
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.
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