B.Tech in Big Data Analytics is a 4- year undergraduate degree course in engineering. As a primary objective, the program aims to impart training to enrolled students with regard to existing and evolving techniques and theories related to Big Data, which include statistics, data mining, data warehousing and data visualization. This course is oriented towards Data Science and related aspects. Big Data Analytics helps organization harness their data and use it to identify new opportunities. It leads to smarter business moves, more efficient operations, higher profits and more satisfied customers. Big Data Analytics examines large amounts of data to uncover hidden patterns, correlations and other insights. The discipline’s applications enable Data Scientists, Predictive Modellers, and other analytics professionals to analyse growing volumes of structured transaction data.
Tabulated below are some of the major highlights of the course.
|Course Level||Under graduate|
|Duration||4 years (5 years in case of dual degree)|
|Examination Type||Semester System|
|Eligibility||10+2 or equivalent|
|Admission Process||Counselling after taking entrance test or direct admission in some cases|
|Major Entrance Tests||JEE Main, BITSAT, COMEDK, VITEEE, SRMJEEE, UPSEE|
|Course Fee||INR 1,00,000 to 13,00,000|
|Average Starting salary||INR1,00,000 to 6,00,000|
Listed below are some of the top institutes offering the course in India. Also mentioned are the corresponding locations and the average fees charged by each.
|NAME OF THE COLLEGE||CITY/STATE||AVERAGE FEE|
|DIT University||Dehradun||INR 6,00,000 P. A|
|Banasthali Vidyapith||Jaipur||INR3,55,000 P. A|
|NIIT University||Neemarana||INR 4,25,000 P. A|
|PEC University of Technology||Chandigarh||INR 3,90,000 P. A|
|Graphic Era University||Dehradun||INR 6,20,000 P. A|
|Vishvakarma Institute of Technology||Pune||INR 1,60,000 P. A|
|Arya Institute of Engineering And Technology||Jaipur||INR 4,25,000 P. A|
|IIT||Hyderabad||INR 6,20,000 P. A|
Candidates having qualified 10+2 with Physics, Chemistry & Maths as main subjects with a minimum aggregate score of 60% in classes X and XII are eligible to apply for the course. This percentage criterion, however, may vary across institutes.
Admission to the course is made possible by means of any of the following 2 ways:
1. Examination Pathway: Admissions through UPESEAT for up to 80% of the seats. This mode of admission requires a JEE Main qualification besides a minimum aggregate score of 60% in at the Higher & Senior Secondary levels (classes X and XII) with Physics, Chemistry & Mathematics as the main subjects at the Senior Secondary level. JEE Mains cut off is announced after the declaration of the JEE Mains results.
2. Non- Examination Pathway: Admissions through Board Merit / JEE Mains Score for up to 20% of the sea. This mode of admission requires a minimum aggregate score of 80% at the Higher & Senior Secondary levels (classes X and XII) with Physics, Chemistry & Mathematics as the main subjects 80% at the Senior Secondary level.
Admission is based on the round of university- level counselling which is based on the score obtained by the candidate in the UPES Engineering Aptitude Test (UPESEAT).
Web crawlers and in-house Data Scientists are needed today in almost every industry, for purposes like collection of data from internal and publicly available data sources.
Adequate skills and experience are needed in industries for tasks like machine- learning, computing and design of algorithms to create customized ETL tools to extract data from multiple sources/ IT platforms and to load them directly to data structures hosted in the cloud. Big Data technologies such as Hadoop, Mongo DB etc. are crucial for integrating both structured and unstructured data for clients to derive accurate insights from a given comprehensive set of data points.
Also, in view of the need to improve the veracity of the data fed into a big data platform, Big Data tools are needed to cleanse, standardize, and map data from various silos, both internal and external. Data- categorization, customization and noise- removal from relevant data feeds are all managed and executed by Big Data engineers.
Successful graduates of the course are hired lucratively in areas such as Design Engineering, Computing/ IT Consulting and Solution- Developing in capacities such as System/ Network Administrators or IT Managers. This programme trains professionals to contribute to innovative hardware and software design of computer systems.
Some of the most popular firms that hire successful graduates of the specialization are Microsoft, Oracle, IBM, Infosys, TCS, HCL, Accenture etc., and in capacities such as Computer Engineer, Software developer, Software Tester, Network Administrator, Database Administrator, Database Designer, Database Operator, Website Designer, Website Developer, Mobile Application Developer, Robotics Expert, Software Analyst etc.
Graduates interested in pursuing higher studies in the discipline may go for courses like M. Tech, MS, ME or Ph. D in India or abroad.
Listed here are the various job positions on offer for successful graduates of B. Tech in Thermal Engineering. Also mentioned are the corresponding job descriptions and salaries offered for each role.
|Job Position||Job Description||Average Pay Scale|
|Big Data Architect||A Big Data Architect is responsible for translating numbers into plain English in every business, for collecting data whether its sales figures, market research, logistics, or transportation costs.||INR 15-16 P. A|
|Big Data Project Manager||A Big Data Project Manager is responsible for overseeing the global ICT services supply aimed at managingdata life cycle- related analytics, the usage of Big Data and Cognitive Computing solutions for customers and for UBIS Business Lines/ Service Lines.||INR 3-4P. A|
|Big Data Specialist||A Big Data Specialist specializes in technology for new concepts and secures necessary assets and resources as needed.||INR 5-8 P. A|
|Big Data engineer||A Big Data Engineer is responsible creating and managing the various big data infrastructure and tools. They are also called Data Scientists.||INR 8-12 P. A|
The program acquires relevance in the current setup because of the huge amount of raw, semi-structured and unstructured data which is constantly getting generated at an uncontrollable pace today. It features data as assets which can be used to analyse, correlate and predict information. Almost every organization requires Data Scientists and Data Analysts to perform data- oriented task. Expertise in the Big Data Analytics domain enables professionals to efficiently handle business intelligence, large scale data mining and data warehousing projects. The course covers dynamic paradigms in business analytics & optimization, data warehousing & multi-dimensional modelling, business intelligence, and web & graph analytics.
The enhanced learning environment that the curriculum makes available for the students prepares them for advanced research and practical application.
Semester- wise, students of the course in India study the following as part of their course curriculum:
Programming and Data structures
Big Data Overview
Basic Electronics Engineering
Programming and Data Structures-Lab
Basic Electronics Engineering Lab
Advanced Data Structures
Database Management Systems
Advanced Data Structures-Lab
Database Management Systems Lab
Design and Analysis of Algorithms
Computer System Architecture
Advanced Database Management Systems
Functional Thinking I
Advanced Database Management Systems Lab
Design and Analysis of Algorithms Lab
Operating Systems Lab
Functional Thinking I Lab
Webinar: Software Development Tools
Software Engineering & Project management
Micro Processor & Embedded Systems
Advanced Programming using Java
Micro Processor & Embedded Systems Lab
Distributed Ingestion lab
Advanced Programming using Java
Distributed Analysis Lab
Webinar: How to write professional code?
Object Oriented Analysis and Design
Distributed Processing I
Functional Thinking II
Formal Languages and Automata Theory
Program Elective-1: Scalable Data Science
Distributed Processing I Lab
Computer Graphics Lab
Object Oriented Analysis and Design Lab
Minor Project I
Functional Thinking II Lab
Webinar: Big Data and Data Science: Two sides of the same coin
Data Communication and Computer Networks
Distributed Processing II
Data Exploration at Scale
Program Elective II: Big Data on Cloud
Open Elective- HSS
Distributed Processing II Lab
Data Exploration at Scale Lab
Data Communication and Computer Networks Lab
Minor Project II
Training and Certification
Webinar: Machine Learning and Neural Networks
Cryptography and Network Security
Program Elective III: Big Data and Develops Integration
Open Elective II
Cryptography and Network Security Lab
Big Data and Develops Integration Lab
Major Project I
Program Elective-4: Distributed Graph Processing
Big Data Security
Scalable Architectures in Real world
Major Project II