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B.Tech - Data Science Course Overview

The Data Science course lets you gain proficiency in Data Science. It is a high-level data science notion designed aiming to cover all the aspects of data science with core concepts. Data Science is one of the most happening fields in business today, creating higher number of career opportunities.  The course has inclusive realms, namely Statistics, Machine Learning/ Programing/Data Skills, Business Domain knowledge; covering all the mains of the Data Science helps you to achieve a solid grip over it.

 

Course Structure

Sr. No.

Subject Name

Credit

1

Computer Organization & Architecture

3

2

Data structure & Algorithms

3

3

Object Oriented Programming with Java

3

4

Digital Electronics

3

5

Mathematics for Computer Science

3

6

Economics for Engineers

3

7

Data structure & Algorithms Lab

3

8

Digital Electronics Lab

3

9

Object Oriented Programming with Java Lab

3

10

Statistics and Probability

3

11

Relational Database Management Systems

3

12

Operating Systems

3

13

R Programming Language

3

14

Management 1 (Organizational Behaviour)

3

15

Environmental Sciences

3

16

R Programming Language Lab

3

17

Operating Systems Lab

3

18

Relational Database Management Systems Lab

3

19

Statistical Inference

3

20

Machine Learning

3

21

Exploratory Data Analysis

3

22

Python Programming

3

23

Humanities II

3

24

Elective-I

3

25

Constitution of India/ Essence of Indian Traditional

3

26

Knowledge

3

27

Machine Learning Lab

3

28

Python Programming Lab

3

29

Big Data Analytics

3

30

Big Data Analytics Lab

3

31

Dimension Reduction and Model Validation

3

32

Elective-II

3

33

Elective-III

3

34

Open Elective-I (Humanities)

3

35

Project-1

3

36

Dimension Reduction and Model Validation Lab

3

37

Elective -III Lab

3

38

Elective-IV
- Real Time Data Processing
- Natural Language Processing
- Probabilistic Graphical Models

3

39

Elective-V
- Big Data Analytics on Cloud
- Artificial Neural Networks
- Optimization Techniques

3

40

Elective-VI
- Data Visualization
- Deep Learning
- Predictive Analytics

3

41

Open Elective-II
- Artificial Intelligence
- Internet of Things
- Cloud Computing

3

42

Biology

3

43

Project-II

3

44

Project-III / Internship

3


 

Key feature:

Data science consists of several elements, techniques and theories including mathematics, statistics, predictive analysis, data modelling, data engineering, data miming, and visualization.

Career outcomes:

There are thousands of open positions for Data Science, Machine Learning roles across various industries which need to be filled in the next few years. The demand for Machine Learning and data science engineers is growing and employers care about practical and applicable skills. Our course is structured around real-world projects so that you end up with a strong portfolio to showcase your practical knowledge. We are very confident of the relevance, breadth, and depth of our course content. We strongly believe that our course could help you land in most ML roles. We know our course is good and hence we back it with a job-guarantee.

Why study at Swarrnim:

Swarrnim gives you unique opportunity to learn specially designed major subjects in undergraduate programs to establish yourself in the industry. Specially designed and focused approach to Innovation and startup will make the students focus towards becoming entrepreneurs.

 

Entry requirements:

The applicant should have passed the 10+2 or equivalent examination with Physics, Mathematics, and English as compulsory subjects along with Computer or Chemistry or Biotechnology or Biology or any technical vocational subjects as optional with a minimum of 60% marks (55% in case of SC/ST) taken together in Physics, Mathematics and any one of the optional subjects

 

Facts & figures regarding course:

After completion of the course students will be able to grab high package jobs in reputed Multinational companies. Data Science, Machine Learning & Deep Learning is emerging technologies and are high - demand in industries. It will be an extra advantage for students to learn specific tools & technologies related to Data Science. It will be helpful for them to establish themselves as an excellent engineer as per industry standards.

 

How to Apply?

Admissions based on Personal Interview. For further information please visit our website.

 

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