Last Updated on July 30, 2023 by Vishnu Nambiar
Hi readers! Have you passed 12th Science with PCM subjects? Do you want to build a decent career in big data analytics sector? If yes, this post will be of help to you. Here, we will have an in-depth analysis of B.Tech. CSE (Big Data Analytics) course.
Table of Contents
The full form of this program is – B.Tech. Computer Science Engineering (Big Data Analytics). B.Tech. stands for Bachelor of Technology. It is an engineering education program. To be precise, it is a computer engineering program that focuses on big data analytics.
In this post, you will find all the important details that you need to know about B.Tech. CSE Big Data Analytics course. Here, I’ve covered the following details – duration, eligibility, colleges, syllabus, admission process, fees, career prospects and more.
Here is a quick overview of B.Tech. CSE (Big Data Analytics) course –
|Name of the course
|B.Tech. CSE (Big Data Analytics)
|Type of course
|Bachelor of Technology
|Completed 12th Science with PCM subjects
It is a Bachelor of Technology course. The course duration is 4 years. The academic program consists of eight semesters. Each semester is six months long.
Technically, this is a computer education program. But this program focuses extensively on the field of big data analytics. In other words, this course is similar to a honors program/specialization program.
If you are passionate about computer education and want to build a decent career in the exciting domain of big data, this program will be of help to you.
You may also check –
What is B.Tech. CSE (Big Data Analytics) course all about? What is it like to pursue this course? Will I get a good job after completing this course? What is the course content like? You will find answers to these questions in the next section. Let us start –
B.Tech. CSE (Big Data Analytics): Basic Details
In this section, we will focus on the following main aspects – course format, course content and domain analysis.
Let us focus on course format first. It is a B.Tech. program. It stands for Bachelor of Technology. It is a Bachelor’s Degree course. Technically, it is an engineering program. This program belongs to UG level. UG stands for undergraduate level.
Let us talk about the course content now. CSE stands for Computer Science Engineering. In short, this is a computer engineering program. But this program also focuses on the field of big data.
Thus, this program can be said to be a specialization or honors program. This program deals with core computer engineering subjects as well as domain-specific (big data analytics) subjects.
What is big data analytics all about, you may ask. Let us focus on domain analysis now. In the next section, you will find what big data analytics is all about. Let us start –
What is big data analytics all about?
Big data analytics deals with big data. What is big data all about, you may ask.
In simple terms, big data is a field that deals with the analysis, extraction, storage and collection of data sets that are too large or complex for traditional data processing software.
Data, in its raw and unorganized form, is quite useless. Insights and meaningful information can be obtained from data after processing it. We rely on data processing software to process data and obtain meaningful and actionable insights from data sets.
Data processing software is generally used for data analysis, extraction, storage and manipulation. Traditional data processing software find it difficult to process very large or complex set of data. We need specialized software and techniques to process and manage complex and challenging data sets. This is where big data comes handy!
Big data deals with aspects such as – capturing data, data storage, data analysis, search, sharing, transfer, editing, querying, visualization, data security etc. The main aim of this branch of data science is to deal with complex sets of data.
Big data uses predictive analytics, behavior analytics and advanced analytics methods to interpret data sets and derive value from data. It has applications in areas such as – finance, economics, business, governance, healthcare, education, internet technology, meteorology etc.
B.Tech. CSE (Big Data Analytics): Things to expect
B.Tech. CSE (Big Data Analytics) is a specialization program. This course will train you in different areas of computer science and big data.
Like any other computer science course, this one also gives attention towards CS subjects such as – programming, computer hardware and software, internet technology, IT skills etc. Apart from core CS subjects, this program also deals with big data subjects.
Some such notable big data subjects include – data mining, business intelligence, database management, data warehousing, data visualization, advanced analytics, statistics and data science.
Let us take a closer look at the course details. In the next section, you will find the following details – duration, eligibility criteria, colleges, syllabus, admission process, career prospects and more. Let us start –
Type of course
It is a B.Tech. (Bachelor of Technology) course.
The academic program is four years long. Each academic year is divided into two semesters. Each semester is six months long.
Minimum educational qualification required to pursue this course is – completed 12th Science with PCM subjects or equivalent qualification.
Here are some of the popular colleges offering B.Tech. CSE (Big Data Analytics) course in India –
- Hindustan University
- Chitkara University
- Marwadi University
- Ganpat University
- SRM IMT
- Jain University
- VIT AP
- Mody University
- UV Patel College of Engineering
- DIT University
- SRM University
- Sharda University
- Rama University
- Rajasthan University
Here is everything you need to know about B.Tech. CSE (Big Data Analytics) admission process –
Admission Process may vary from one institute to another. Some institutes are known to conduct merit based admission process. Some other institutes are known to conduct direct admission process. When it comes to merit based admission process, relevant entrance exams are conducted to facilitate the admission process.
Here is everything you need to know about B.Tech. CSE (Big Data Analytics) fees structure –
Tuition fees depends upon the following factors – type of college (Government or self-financing), scholarship status of the student, rating of the college etc. On an average, tuition fees could be anywhere between 80-200K INR per year.
Here are some of the core subjects present in B.Tech. CSE (Big Data Analytics) curriculum –
- Engineering mathematics
- Operating System
- IT systems
- Internet technology
- Information security
- Data structures
- Data mining
- Data warehousing
- Data analytics
- Hadoop administration
- Communication skills
- Project work
After completing B.Tech. CSE (Big Data Analytics) course, graduates may go for relevant M.E. or M.Tech. programs. They have access to domains such as – computer science, IT, programming, data security, data analytics and more.
You may also check – Online Data Analytics courses
They may even pursue relevant technical M.Sc. or PG Diploma programs. Apart from PG technical programs, graduates may even go for relevant management programs such as – MBA, MMS or PGDM programs.
Big data has applications in different areas/industries. This sector is evolving and growing at a healthy pace. It is set to play a major role in different industries and domains. Under such circumstances, skilled big data professionals are in huge demand. They are usually hired by – IT firms, MNCs, consultancies, data science firms, data analytics firms, tech firms, software firms, clould technology firms etc.
In the above mentioned places/establishments, big data professionals may don the following roles – data analyst, data engineer, data manager, data security specialist, risk analyst, data security analyst etc.
I am Vishnu Nambiar a career and educational blogger from India. I am also a full time educational consultant having more than 12 years of experience in the educational sector.
I share articles related to courses, colleges, careers, exam tips and more here.