What is B.Tech in Data Science?
B.Tech in Data Science is a new, exponentially
growing field which consists of a set of tools and techniques used to extract
useful information from data. The programmed encompasses data Science as an
interdisciplinary, problem-solving oriented subject that learns to apply
scientific techniques to practical problems. The course curriculum involves a
blend of data inference, algorithm development, and technology to analytically
solve complex problems. The programmed imparts a confluence of skills in three major
areas of mathematical expertise, technology hacking skills and business
strategy and acumen. The core of this programmed is the ultimate use of
enormous data in creative ways to generate business value. Hidden insights are
brought to the fore to enable companies to make smarter business decisions.
Data Science programmed orients on practical classes and self-study during the
preparation of datasets and programming of data analysis tasks.
Why Study B.Tech in Data Science?
As this is a new and
trending course and only a few colleges are offering this course, therefore the
BTech Data Science graduates are in high demand. So, there are no. of perks
attached with this course. Few of them are discussed below:
Scope of the Course:
Being a B.Tech Data Science graduate you can work in various sectors like Education, Artificial Intelligence offices,
MNCs and others. Data Architects are responsible for preparing the data
architecture strategies or data models. They collaborate with IT industries and
other businesses to plan a data strategy.
B.Tech Data
Science Syllabus comprises of 8 semesters that involves the subjects related to
data extraction and its analysis by using various computer technology
techniques and hacks. Below mentioned is the semester wise course curriculum of B.Tech Data
Science with the list of program electives offered by
them:
Semester
1 |
Semester
2 |
Semester
3 |
Introduction to Artificial Intelligence and Machine
Learning |
Application based Programming in Python |
Introduction to biology for Engineers |
Programming
for Problem Solving |
Math's II |
Discrete Structures |
Math's I |
Advanced Physics |
Computer Organization and Architecture |
Engineering
Physics |
Engineering Chemistry |
Applied Statistical Analysis |
Soft Skills 1 |
Mechanical Workshop |
Industrial Internship |
Computer Aided
Design and Drafting |
Multimedia Application Lab |
OOPS using JAVA |
Principles of
Electrical and Electronics Engineering |
Soft Skill 2 |
Data Structures using C |
- |
- |
Project Based Learning- 1 |
- |
- |
Industrial Internship I |
Semester
4 |
Semester
5 |
Semester
6 |
CTS-2
Communicate to conquer |
CTS-3 Impress 2 Impact |
Data Mining |
Data
Acquisition |
Data Warehouse |
Compiler Design |
Advance Java
Lab |
Theory of Computation |
Ace the Interview |
Environmental
Science |
Design and Analysis of Algorithm |
Artificial Intelligence |
Computer
Networks |
Project Based Learning- 3 |
Statistical Analysis Lab |
Principles of
Operating System |
Industrial Internship II |
Program Elective-2 |
Database
Management System |
Software Engineering and testing methodologies |
Program Elective-3 |
Management
Course |
Program Elective-1 |
Project Based Learning- 4 |
Project Based
Learning- 2 |
Open Elective-1 |
Open Elective-2 |
Linux Programming Lab |
- |
Semester
7 |
Semester
8 |
Web
Technologies |
Major Project-2 |
Industrial
Internship |
Open Elective-4 |
Business
Intelligence |
Program Elective-5 |
Program
Elective-4 |
Program Elective-6 |
Major
Project-1 |
Big Data Analytics |
Comprehensive
Examination |
Universal Human Value and Ethics |
Professional
Ethics and Values |
- |
Open
Elective-3 |
- |
Campus to
Corporate |
Eligibility:
The basic eligibility for pursuing
this course is 10+2 qualification. The student should have passed 10+2 with a
minimum of at least 50% marks from a recognized educational Board with Physics,
Chemistry and Math as the main subjects.
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