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B.Sc.- Big Data Analytics

B.Sc.- Big Data Analytics

School of Engineering and Technology (SET)

  • Level

    Graduate

  • Duration

    3 Years

About the Programme

Big Data has become a new norm of life with the introduction of social media, online commerce, vast data storage methods, and extremely powerful processor capabilities. Computers have only lately been able to acquire and analyze vast amounts of data from a variety of disciplines, including people, behavior, information, gadgets, sensors, biological signals, finance, cars, neurology, and so on.

Almost every industry is bracing for the Big Data challenge, and they want to mine valuable data for insight on how to tackle their problems. This course will give students with the foundational information they will need to face those difficulties.

This course is for individuals who...

This programme is for students who wish to have a deeper understanding of how Big Data is used in our daily lives. The course focuses on acquiring skills and a sense of how to use big data effectively to improve people's lives. The course focuses on models, methods, and approaches for analyzing massive volumes of data from a variety of sources.

Students who are looking for...

A profession in a field that is always evolving, with an almost limitless range of data generation, gathering, processing, and analysis. Financial stability, the ability to relocate, and the opportunity to learn for the rest of one's life are just a few of the benefits that make this programme an excellent choice for computer science enthusiasts.

Successful graduates of the course will have access to a variety of career opportunities. The course's successful graduates are offered a preliminary average compensation of INR 3 to 8 Lacs, which is based on the candidate's experience in the field. After successfully completing the course, students might find work in both the commercial and public sectors.

Course Fee
For National Students
1st Year 92700 2nd Year 95481 3rd Year 98345
For International Students
Fee Per Semester Fee Per Year
NA NA
Programme Structure

School of Engineering and Technology

Department Of Computer Science & Engineering

B.Sc in Computer Science

Batch: 2021 Onwards

 

TERM: I

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

THEORY SUBJECTS

1

 

Problem solving using C Programming

4

0

0

4

2

 

Discrete Structures and Data Structure

4

0

0

4

3

 

Digital Electronics & Computer Organization

4

0

0

4

4

 

Vocational Faculty-1

3

0

0

3

5

 

Food and Nutrition

2

0

0

2

Practical/Viva-Voce/Jury

6

ARP101

Communicative English-1

1

0

2

2

7

 

Problem solving using C Programming Lab

0

0

4

2

8

 

Discrete Structures and Data Structure Lab

0

0

4

2

9

 

Digital Electronics & Computer Organization Lab

0

0

4

2

TOTAL CREDITS

 

 

 

 

25

School of Engineering and Technology

Department Of Computer Science & Engineering

B.Sc in Computer Science

Batch: 2021 Onwards

 

TERM: II

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

THEORY SUBJECTS

1

 

Principles of Data Base Management System

4

0

0

4

2

 

Operating System and Unix Shell Programing

4

0

0

4

3

 

Web Designing  and Object Oriented Programming Using Java

4

0

0

4

4

 

Vocational Faculty-2

3

0

0

3

5

 

Health and Hygien

2

0

0

2

Practical/Viva-Voce/Jury

6

ARP102

Communicative English -2

1

0

2

2

7

 

Principles of Data Base Management System Lab

0

0

4

2

8

 

Operating System and Unix Shell Programing Lab

0

0

4

2

9

 

Object Oriented Programming and Web Designing Using Java Lab

0

0

4

2

TOTAL CREDITS

 

 

 

 

25

School of Engineering and Technology

Department Of Computer Science & Engineering

B.Sc in Computer Science

Batch: 2021 Onwards

 

TERM: III

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

THEORY SUBJECTS

1

 

Application based Programming in Python and Machine Learning

4

0

0

4

2

 

Computer Networks and Data Communication

4

0

0

4

3

 

Mathematics in Computer Applications

4

0

0

4

4

 

Vocational Faculty-3

3

0

0

3

5

 

Physical Education

2

0

0

2

Practical/Viva-Voce/Jury

6

ARP207

Logical Skills Building and Soft Skills 

1

0

2

2

7

 

Application based Programming in Python and Machine Learning Lab

0

0

4

2

8

 

Computer Networks and Data Communication Lab

0

0

4

2

9

 

Numerical Techniques Lab

0

0

2

1

 

 

Project Based Learning-1

0

0

2

1

TOTAL CREDITS

 

 

 

 

25

School of Engineering and Technology

Department Of Computer Science & Engineering

B.Sc in Computer Science

Batch: 2021 Onwards

 

TERM: IV

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

THEORY SUBJECTS

1

 

Artificial Intelligence

4

0

0

4

2

 

Design and Analysis of Algorithm

4

0

0

4

3

 

Research Methodlogy

4

0

0

4

4

 

Vocational Faculty-4

3

0

0

3

5

 

Human values and Environrnent Studies

2

0

0

2

Practical/Viva-Voce/Jury

6

ARP208

Quantitative and Qualitative Aptitude Skill Building

1

0

2

2

7

 

Artificial Intelligence Lab

0

0

4

2

8

 

Design and Analysis of Algorithm Lab

0

0

4

2

 

 

Project Based Learning-2

0

0

4

2

TOTAL CREDITS

 

 

 

 

25

 

School of Engineering and Technology

Department Of Computer Science & Engineering

B.Sc in Computer Science

Batch: 2021 Onwards

 

TERM: V

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

THEORY SUBJECTS

1

 

Digital Image Processing

4

0

0

4

2

 

Information Security and Cyber Law

4

0

0

4

3

 

Program Elective-1

4

0

0

4

4

 

Program Elective-2

4

0

0

4

Practical/Viva-Voce/Jury

6

 

Analytical Ability and Digital Awareness

1

0

2

2

7

 

Research Project-1

 

 

 

4

 

 

Industrial Training

 

 

 

3

TOTAL CREDITS

 

 

 

 

25

School of Engineering and Technology

Department Of Computer Science & Engineering

B.Sc in Computer Science

Batch: 2021 Onwards

 

TERM: VI

S. No.

Course Code

Course

Teaching Load

Credits

L

T

P

THEORY SUBJECTS

1

 

SoftComputing

4

0

0

4

2

 

Program Elective-3

4

0

0

4

3

 

Program Elective-4

4

0

0

4

Practical/Viva-Voce/Jury

6

 

Communication Skills and Personality Development

1

0

2

2

7

 

Research Project-1

 

 

 

6

8

 

Simulation Lab Pract-1

0

0

2

1

9

 

Technical Skill Enhancement Course-2

0

0

2

1

 

 

Community connect program

 

 

 

3

TOTAL CREDITS

 

 

 

 

25

Eligibility Criteria
For National Students
  • Sr. Secondary (10+2) with minimum 50% marks.
  • Mathematics/Statistics/Computer/Information Science being one of the subjects
For International Students The eligibility criterion for all programs for international applicants is minimum 50% in the qualifying examination and having studied the pre-requisite subjects for admission in to the desired program.
Career path you can choose after the course
  • Data Analyst
  • Analytics Consultant
  • Data Scientists
  • Data Manger (to name a few)

Take the next step towards a career in engineering.

Apply Now