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B.Tech Data Analytics for Working Professionals

B.Tech in Data Analytics, a 3-year Lateral Entry B.Tech course, is introduced especially for the junior engineers who hold a 3-year diploma and are currently working in any engineering industry. To make sure that you are eligible for the course, you should carry a minimum of 1 year of work experience. The Data Analytics course covers the most in-demand and high-paying skills such as Machine Learning, Big Data, Data Warehousing, Business Intelligence, Cloud Computing, Deep Learning, and Predictive Analytics. These skills are enough to help you crack high-paying roles such as manager and supervisor jobs across engineering industries.
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B.Tech for WX in Data Analytics Course Subjects/Syllabus

Before you make a firm decision to go for a course, it becomes necessary to be well-aware of the topics and skill sets that the course will cover. You will be able to know about the same only when you have a good idea of the syllabus of the course. So we are dropping down the course syllabus for you, you can have a look: 

B.Tech in Data Analytics for Working Professionals Course Syllabus

Semester III

Semester IV

  • Introduction to Data Science
  • Data Structure (Theory & Lab)
  • Database Management System (Theory & Lab)
  • Theory of Automata and Formal Languages
  • Digital Logic and Switching Theory (Theory & Lab)
  • Python Programming for Data Analytics
  • Design and Analysis of Algorithm (Theory & Lab)
  • Operating Systems (Theory & Lab)
  • Data Analysis
  • Computer Organisation and Architecture
  • Optimisation and Decision Analysis
  • MATLAB (Lab)

Semester V

Semester VI

  • Software Engineering (Theory & Lab)
  • Internet of Things (IoT) (Theory & Lab)
  • Computer Networks (Theory & Lab)
  • Data Warehousing
  • Algorithm Design and Analysis
  • Elective Courses (e.g., Compiler Design, NLP)
  • Industrial Internship 2
  • Advance Python Programming (Theory & Lab)
  • Big Data Analysis
  • Data Mining Analytics (Lab)
  • Computer Graphics and Multimedia (Theory & Lab)
  • Elective Courses (e.g., Neural Network, AI in Sustainability)

Semester VII 

Semester VIII 

  • Deep Learning Techniques
  • Simulation Modeling
  • Digital Image Processing and Pattern Recognition Lab
  • Project Part-I
  • Internship Assessment
  • Elective Courses (e.g., Constitution of India)
  • Cloud Computing for Data Science
  • Advanced Machine Learning & AI
  • Reinforcement Learning
  • Capstone Project & Industrial Internship
  • Elective Courses (e.g., Soft Computing, Data Compression)

Note - The syllabus above is subject to changes upon updates from the UGC and other concerned authorities, you should keep visiting the official university website for regular updates. 

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LogoFAQ's

Let's clear up some doubts

B.Tech in Data Analytics, a 3-year Lateral Entry B.Tech course, is introduced especially for the junior engineers who hold a 3-year diploma and are currently working in any engineering industry.

To make sure that you are eligible for the course, you should carry a minimum of 1 year of work experience.

The Data Analytics course covers the most in-demand and high-paying skills such as Machine Learning, Big Data, Data Warehousing, Business Intelligence, Cloud Computing, Deep Learning, Predictive Analytics. 

Yes, as you have the basic knowledge of computer science-based engineering, you will be admitted to the second year of the course. 

Once you are done with the course, you can find yourself eligible for some highly paying job roles like Machine Learning Expert, Big Data Management In-Charge, Predictive Analyst, Cloud Computing Engineer and more.

The primary reasons why the majority of working professionals opt for this course are flexibility, affordability, and the career boost the course offers.

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