B.SC IN DATA SCIENCE: A Complete Guide to Admission, Eligibility, Syllabus, Salary, and Career Opportunities
As the world becomes more data-driven, there is a growing need for professionals who can extract insights from large datasets. Data Science has emerged as one of the most promising fields in recent years, offering a wide range of career opportunities for those who want to pursue it. In this article, we will discuss everything you need to know about B.Sc in Data Science, from admission to career opportunities.
Table of Contents
Introduction
What is B.Sc in Data Science?
Highlights of B.Sc in Data Science
Eligibility for B.Sc in Data Science
Entrance Exam for B.Sc in Data Science
Admission Process for B.Sc in Data Science
Selection Criteria for B.Sc in Data Science
How to Apply for B.Sc in Data Science
Application Form for B.Sc in Data Science
Fee for B.Sc in Data Science
Syllabus for B.Sc in Data Science
Salary and Jobs for B.Sc in Data Science Graduates
Career Opportunities in Data Science
B.SC IN DATA SCIENCE Introduction
Data Science is an interdisciplinary field that combines statistics, mathematics, computer science, and domain knowledge to extract insights from data. B.Sc in Data Science is a three-year undergraduate program that provides students with a strong foundation in these areas. In this program, students learn various tools and techniques for data analysis, data visualization, and machine learning.
What is B.Sc in Data Science?
B.Sc in Data Science is a specialized undergraduate program that trains students in the fundamentals of Data Science. The program is designed to provide students with a strong foundation in statistics, mathematics, computer science, and domain knowledge. Students learn various tools and techniques for data analysis, data visualization, and machine learning. The program also includes courses on database management, data mining, and big data analytics.
Highlights of B.Sc in Data Science
B.Sc in Data Science is a three-year undergraduate program.
The program provides students with a strong foundation in statistics, mathematics, computer science, and domain knowledge.
Students learn various tools and techniques for data analysis, data visualization, and machine learning.
The program also includes courses on database management, data mining, and big data analytics.
After completing the program, students can pursue various career opportunities in the field of Data Science.
Eligibility for B.Sc in Data Science
To be eligible for B.Sc in Data Science, candidates must have passed 10+2 or equivalent examination from a recognized board with at least 50% marks in aggregate. Candidates must have studied Mathematics as one of the main subjects in 10+2.
Entrance Exam for B.Sc in Data Science
Some colleges and universities conduct entrance exams for admission to B.Sc in Data Science. These exams test the candidate's knowledge in mathematics, computer science, and statistics. Some of the popular entrance exams for B.Sc in Data Science are:
JEE Main
BITSAT
VITEEE
Manipal Entrance Test
SRM Joint Engineering Entrance Examination
Admission Process for B.Sc in Data Science
The admission process for B.Sc in Data Science varies from college to college. Some colleges and universities offer admission based on the candidate's performance in the entrance exam, while others offer admission based on merit. Candidates are advised to check the admission criteria of the college/university they wish to apply to.
Selection Criteria for B.Sc in Data Science
The selection criteria for B.Sc in Data Science varies from college to college
B.Sc in data science is an undergraduate-level course. Data science is a multi-disciplinary field that utilizations logical techniques, procedures, calculations and frameworks to remove Data and bits of knowledge from organized and unstructured Data. Data science is a similar idea as Data mining and enormous Data: "utilize the most dominant equipment, the most dominant programming frameworks, and the most proficient calculations to take care of issues". Data science is an "idea to bind together measurements, Data examination, AI and their related techniques" so as to "comprehend and investigate genuine wonders" with Data. It utilizes systems and speculations drawn from numerous fields inside the setting of arithmetic, measurements, software engineering, and data science. Turing grant victor Jim Gray envisioned Data science as a "fourth worldview" of science (observational, hypothetical, computational and now Data driven) and attested that "everything about science is changing a result of the effect of data innovation" and the Data downpour. In 2015, the American Statistical Association distinguished database the board, insights and AI, and circulated and parallel frameworks as the three developing fundamental expert networks.
Qualification
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