Government Engineering College Munger BTech in Big Data Analytics Admission 2024-25, Check Previous Years Cutoff and Category-wise Cutoff, Last Date, Online Process

B.tech. Big Data and Analytics,Highlights, Entrance Exam, admission, Eligibility, Duration, Selection Criteria, How to Apply, Application Form, Application Process, fee, Syllabus,Salary and Jobs,career opportunities

B.Tech in Big Data and Analytics is a four-year undergraduate program that offers students comprehensive knowledge and practical skills in the field of Big Data and Analytics. Here are some highlights, eligibility criteria, admission process, syllabus, and career opportunities associated with the course:

B.tech. Big Data and Analytics Eligibility Criteria:

Candidates must have completed their 10+2 or equivalent examination from a recognized board with Mathematics and English as compulsory subjects.

They must have secured a minimum aggregate of 50% marks in their 10+2 examination.

Candidates must have also cleared the entrance exam conducted by the university or institute offering the course.

B.tech. Big Data and Analytics Entrance Exam:

Some of the common entrance exams for B.Tech in Big Data and Analytics are JEE Main, BITSAT, VITEEE, SRMJEEE, etc.

B.tech. Big Data and Analytics Duration:

The duration of the B.Tech in Big Data and Analytics program is four years.

B.tech. Big Data and Analytics Selection Criteria:

Candidates are selected based on their performance in the entrance exam and their 10+2 examination.

B.tech. Big Data and Analytics How to Apply:

Candidates can apply for the course by filling out the application form available on the website of the university or institute offering the course.

They must submit the application form along with the required documents and application fee.

B.tech. Big Data and Analytics Application Process:

The application process for B.Tech in Big Data and Analytics typically involves filling out the application form, uploading the required documents, paying the application fee, and submitting the form online.

B.tech. Big Data and Analytics Fee:

The fee for the B.Tech in Big Data and Analytics course varies from university to university and typically ranges between INR 3 to 6 lakhs per year.

B.tech. Big Data and Analytics Syllabus:

The syllabus for B.Tech in Big Data and Analytics typically includes the following subjects:

Mathematics

Data Structures and Algorithms

Database Management Systems

Computer Networks

Big Data Analytics

Data Mining

Machine Learning

Artificial Intelligence

B.tech. Big Data and Analytics Salary and Jobs:

Graduates of B.Tech in Big Data and Analytics can expect to earn an average starting salary of INR 3 to 6 lakhs per annum.

Some of the popular job roles for graduates include Data Analyst, Data Scientist, Big Data Engineer, Business Analyst, and Data Architect.

Graduates can find employment in various sectors such as IT, healthcare, finance, e-commerce, and retail, among others.

B.tech. Big Data and Analytics Career Opportunities:

With the increasing demand for data-driven insights and decision-making, there is a growing need for skilled professionals in the field of Big Data and Analytics.

Graduates of B.Tech in Big Data and Analytics can explore various career opportunities in industries such as healthcare, finance, e-commerce, retail, and IT, among others.

Some of the popular career paths for graduates include Data Analyst, Data Scientist, Big Data Engineer, Business Analyst, and Data Architect.

B.TECH. BIG DATA AND ANALYTICS is a 4-year college degree course in designing. As an essential target, the program plans to bestow preparing to enlisted understudies with respect to existing and developing systems and speculations identified with Big Data, which incorporate measurements, information mining, information warehousing and information representation. This course is situated towards Data Science and related viewpoints. Enormous Data Analytics enables association to saddle their information and use it to distinguish new chances. It prompts more astute business moves, increasingly proficient tasks, higher benefits and progressively fulfilled clients. Huge Data Analytics looks at a lot of information to reveal concealed examples, connections and different bits of knowledge. 

Qualification 

• Competitors having qualified 10+2 with Physics, Chemistry and Maths as primary subjects with a base total score of 60% in classes X and XII are qualified to apply for the course. This rate measure, nonetheless, may differ crosswise over organizations. 

Profession Prospects 

• Web crawlers and in-house Data Scientists are required today in pretty much every industry, for purposes like accumulation of information from interior and freely accessible information sources. Satisfactory abilities and experience are required in businesses for errands like AI, registering and plan of calculations to make modified ETL apparatuses to remove information from different sources/IT stages and to stack them legitimately to information structures facilitated in the cloud. Huge Data advancements, for example, Hadoop, Mongo DB and so on are urgent for incorporating both organized and unstructured information for customers to get precise bits of knowledge from a given extensive arrangement of information focuses. 
• Additionally, in perspective on the need to improve the veracity of the information encouraged into a major information stage, Big Data instruments are expected to wash down, institutionalize, and map information from different storehouses, both inside and outer. Information order, customization and commotion expulsion from important information feeds are altogether overseen and executed by Big Data engineers.