B.Tech in CSE (Data Science)

Know More About B.Tech in CSE (Data Science)

Course OfferedDuration (in Years)Eligibility
B.Tech in Computer Science and Engineering with Specialization in Data Science4 Years12th standard pass with Physics, Maths, Chemistry/ Computer Science with at least 60% marks.
B.Tech in Computer Science and Engineering with Specialization in Data Science (Lateral Entry)3 Years (i) A 3 Years Diploma from an AICTE approved College or UGC recognised University in India with a minimum of 60% marks
(ii) A personal interview by the competent authority of the University
(iii) Credit transfer possible from other recognised University / College in 3rd / 5th semester with terms & conditions.

Disclaimer: TNU reserves the right for relaxation in admission criteria for the most deserving candidates.

Computer Science and Engineering seems to have become the most popular course in this century for engineering aspirants. Currently, B.Tech Computer Science Engineering is one of the top courses in India that attract lakhs of students every year. B.Tech Computer Science and Engineering at The Neotia University (TNU) is designed with specializations in several important and emerging areas such as Cyber Security, Data Science, Artificial Intelligence (AI), and Machine Learning (ML) that will help students to gain knowledge and become industry ready for jobs in top Corporates. The curriculum structure is designed by the academicians from Indian Statistical Institute (ISI), Jadavpur University, University of Calcutta, and industrial experts from Tata Consultancy Services (TCS), Centre for Development of Advanced Computing (CDAC). The state-of-the-art Computer Labs are well-equipped with advanced software. Internship and Industrial visit is part of the Curriculum. Students are encouraged to publish journals and articles regularly on National and International platforms.

Data Science is an advanced technology, which demands coding, mathematics, statistics, and some of the skills such as machine learning, data mining, and visualization. Data scientists are professionals who can simplify big data through coding and algorithms and turn it into a problem-solving solution for the business. Data scientists operate between the business and IT worlds and drive industries by analyzing complex datasets to tease out insights that companies can leverage into actions. With rising investment in research and development, technological advances are occurring rapidly.

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Expert Committee

Computer Science Lab

Computer lab with software like Kali Linus, VMWare, Open IAM, Vulnerability scanners, NsLookUP, R, Oracle , Hadoop, Sikuli are provided.

Career Prospects

Data Science is a highly flexible discipline finding its way into all industries. Data science without any doubt is one of the 21st century’s most challenging careers. Important applications of Data Science are in Healthcare, Banking, Manufacturing, E-commerce, Fraud and Risk Detection, Image and Speech Recognition, and Education. The demand for data scientists and their salaries have been growing particularly for a decade. Data Scientist, Data Engineer, Data Architect, Data Administrator, Data Analyst, Business Analyst, Data / Analytics Manager, and Business Intelligence Manager are among the prominent Data Scientist job titles. Entrepreneurship can also be a good career option for pass-outs.

The importance of B.Tech in Computer Science and Engineering with specialization in Cyber Security, Data Science, Artificial Intelligence and Machine Learning, Embedded Systems, and Industrial IOT is growing day by day and going to provide huge opportunities in employment, research, and entrepreneurship in the near future. Graduates can pursue M.Tech at various Universities / Institutes in the above specializations as the demand in these areas shall keep increasing.

salaries have been growing particularly for a decade. Data Scientist, Data Engineer, Data Architect, Data Administrator, Data Analyst, Business Analyst, Data / Analytics Manager, Business Intelligence Manager are among the prominent Data Scientist job titles. Entrepreneurship can also be a good career option for the pass outs.

The importance of B.Tech in Computer Science and Engineering with specialization in Cyber Security, Data Science, Artificial Intelligence and Machine Learning, Embedded Systems and Industrial IOT is growing day by day and going to provide huge opportunities in employment, research and entrepreneurship in near future. Graduates can pursue M.Tech at various Universities / Institutes in the above specializations as the demand in these areas shall keep increasing.

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INTERNSHIP & ACHIEVEMENTS

  • Arindam Halder completes his Internship program from CRIS – Centre for Railway Information Systems
  • B.Tech CSE Student of TNU completes her Internship program from IIT, Kanpur
  • Students completes their Internship program from WABCO
  • B.Tech CSE Student of TNU completes their Internship program from Directorate of Information Technology, Govt of Tripura.
  • B.Tech CSE Student of TNU completes their Internship program from Directorate of Information Technology, Govt of West Bengal.
  • B.Tech CSE Student of TNU completes their Internship program from Data Core-AIILABS.

INDUSTRY PARTNERSHIP

  • TNU has also collaborated with Batoi Systems Private Limited (BSPL), Bhubaneswar to provide better understanding of Computer Science and Engineering in general and specifically Cyber Security, Internet of Things (IoT), large Data Sciences, etc. other current strengths in CSE to its students. BSPL to provide assistance in drafting the syllabus for B. Tech & M. Tech programme along with help in establishing laboratory and CSE vertical with stress on modern areas including its applications.
  • Data-Core group AILABS is a Digital Service provider of curated learning in Artificial Intelligence with an accent in Machine Learning and Data Science. The organization was pioneered as a specialized software development, corporate training and R&D center, implementing well-researched plan to spread AI talent at global technology hubs. Data-Core Systems Inc. a Philadelphia based technology consulting company and is a certified ISO 9001:2015 , ISO 27001:2013 and Software development processes

OUR FACULTY

Course Structure

  • Semester 1
  • Semester 2
  • Semester 3
  • Semester 4
  • Semester 5
  • Semester 6
  • Semester 7
  • Semester 8

Semester 1

Sl No

Type of Course

Course title

Hours per week

Credits

Lecture

Tutorial

Practical

1

Basic Science Course

Physics   

3

1

2

5

2

Basic Science Course

Mathematics I [Calculus and Linear Algebra]

3

1

0

4

3

Engineering Science Course

Basic Electrical and Electronics Engineering

3

1

2

5

4

Engineering Science Course

Engineering graphics and design

0

1

4

3

5

Mandatory Course

Environmental Science

3

3

6

Humanities and Social Sciences including Management Course

English I

2

0

2

3

 

 

No. of hours

14

4

10

 

                                                                             28 hours                                       Total Credits

23

Semester 2

Sl No

Type of Course

Course title

Hours per week

Credits

Lecture

Tutorial

Practical

1

Professional Elective Course

Introduction to Data Science

3

1

0

4

2

Basic Science Course

Mathematics II  [Probability and Statistics]

3

1

0

4

3

Engineering Science Course

Programming for Problem Solving

3

1

6

7

4

Engineering Science Course

Workshop / Manufacturing Practices

0

0

4

2

5

Humanities and Social Sciences including Management

English II

2

0

2

3

6

Open Elective

Open Elective I [Constitution of India/ Essence of Indian core knowledge]

3

0

0

3

 

 

No. of hours

14

3

12

23

29 hours                                      Total Credits

23

Semester 3

Sl No

Type of Course

Course title

Hours per week

Credits

Lecture

Tutorial

Practical

1

Basic Science Courses

Statistical Analysis using R

2

1

4

5

2

Professional Core Courses

Data Structure and Algorithms

3

1

4

6

3

Professional Core Courses

Digital Electronics    [up to microprocessor basics]

3

0

4

5

4

Professional Core Courses

Discrete Mathematics

3

1

0

4

5

Professional Core Courses

Numerical Methods

3

0

4

5

 

 

No. of hours

14

3

16

 

33 Hours                                         Total Credits

25

Semester 4

Sl No

Type of Course

Course title

Hours per week

Credits

Lecture

Tutorial

Practical

1

Professional Core Course

Optimization Techniques

[LPP, Convex Hul, Basis]

3

1

0

4

2

Professional Core Courses

Computer Organisation & Architecture

3

0

4 Microprocessor Lab (8085 & 8086)

5

3

Professional Core Courses

Operating System

3

0

4

5

4

Professional Core Courses

Object Oriented Programming

3

1

4

6

5

Humanities and Social Sciences including Management

Management [ Organisation Behaviour / Finance & Accounting]

3

0

0

3

 

 

No. of hours

15

2

12

 

29 Hours                                          Total Credits

23

Semester 5

Sl No

Type of Course

Course title

Hours per week

Credits

Lecture

Tutorial

Practical

1

Professional Elective Course

Introduction to Machine Learning3045

2

Professional Core Courses

Database Management System3045

3

Professional Core Courses

Compiler Design and Automata Theory4004

4

Professional Core Courses

Computer Network3045

5

Humanities and Social Sciences including Management Course

Engineering Economics2002

 

 

Internship

3

   No. of hours15012 
 27hours                                          Total Credits24

Semester 6

Sl No

Type of Course

Course title

Hours per week

Credits

Lecture

Tutorial

Practical

1

Professional Elective Courses

Data Mining and Data Warehousing

3

0

4

5

2

Professional Core Course

Design and Analysis of Algorithm

3

0

4

5

3

Professional Elective Courses

Big Data Analytics with Hadoop / Spark

3

0

2

4

4

Professional Elective Courses

Multivariate Analysis, Time Series & Forecasting

 

3

0

4

[Practical : Time Series algo using R]

5

5

Project

Project I

0

0

6

3

 

 

No. of hours

12

0

20

 

32 Hours                                          Total Credits

22

Semester 7

Sl No

Type of Course

Course title

Hours per week

Credits

Lecture

Tutorial

Practical

1

Professional Elective Course

Advance Data Science

[Text Analysis, Video – Audio- Image Analysis]

4

0

4

6

2

Professional Elective Courses

Data Visualization and Business Analytics

3

0

4

5

3

Open Elective Courses.

Open Elective [Communicative English]

3

0

0

3

4

Professional Core Course

Software Engineering

3

0

0

3

5

Project

Project II

0

0

12

6

6

 

Internship

3

 

 

No. of hours

13

0

20

26

33 Hours                                          Total Credits

26

Semester 8

Sl No

Type of Course

Course title

Hours per week

Credits

Lecture

Tutorial

Practical

1

Project

Project III

0

0

30

15

2

Project

Seminar

3

3

 

Grand Viva

3

3

 

No. of Hours

0

0

30

21

30 Hours                                        Total Credits

21

NEP-20 Course Structure Applicable from 2023

  • 1st Year
  • 2nd Year
  • 3rd Year
  • 4th Year
SemesterType of CourseCourse TitleHours per WeekCreditsCumulative Minimum Credits required for Certificate / Diploma / Degree / Honours
LectureTutorialPractical
IMandatory CourseEngineering Mathematics – I 3003Certificate in CSE
Mandatory CourseIntroduction to Data Analytics 4004
Mandatory CoursePrograming for Problem Solving2044
Mandatory CourseBasic Electrical and Electronics Engineering2044
Minor Stream (Elective Paper 1)Fundamentals of Cyber Security and Applications 4004
Multidisciplinary (Elective Paper 2)GE – Paper2002
Ability Enhance Course (Comp 1)English Language & Personality Development1022
Skill Enhancement Course (Comp 2)Introduction to Cloud Computing1001
Value Added Course (Comp 3)Constitution of India (Basic)1001
IIMandatory CourseEngineering Mathematics-II3003
Mandatory CourseEngineering Physics3045
Mandatory CourseProbability and Statistics with R2023
Minor Stream (Elective Paper 1)Principal of Robotics2044
Multidisciplinary (Elective Paper 2)GE – Paper2002
Ability Enhance Course (Comp 1)English Language & Personality Development1022
Value Added Course (Comp 3)Constitution of India (Advanced)1001
Skill Enhancement Course (Comp 2)32 Hrs Workshop on Cloud Data Management along with assesment1102
Grand Total3512247
SemesterType of CourseCourse TitleHours per WeekCreditsCumulative Minimum Credits required for Certificate / Diploma / Degree / Honours
LectureTutorialPractical
IIIMandatory CourseData Structures and Algorithms3045Diploma in CSE 
Mandatory CourseProgramming with Python2044
Mandatory CourseDigital Logic and Microprocessor3003
Mandatory CourseOptimization Techniques2002
Minor Stream (Elective Paper 1)Cyber-crime Investigations and Forensics 2044
Multidisciplinary (Elective Paper 2)GE – Paper2002
Ability Enhance Course (Comp 1)English Language & Soft Skills1022
Value Added Course (Comp 3)Introduction to Climate Change1001
Skill Enhancement Course (Comp 2)Introduction to Blockchain Technology1001
Summer Internship – 10042
IVMandatory CourseDesign and Analysis of Algorithms3045
Mandatory CourseComputer Organisation & Architecture 3045
Mandatory CourseObject Oriented Programming3045
Minor Stream (Elective Paper 1)Embedded Systems and Security 2044
Multidisciplinary (Elective Paper 2)GE – Paper2002
Ability Enhance Course (Comp 1)English Language & Soft Skills1022
Skill Enhancement Course (Comp 2)32 Hrs Workshop on Use of Blockchain using Smart Contracts including Assesments0202
Value Added Course (Comp 3)Impact of Climate Change and its effect1001
Grand Total3223652
SemesterType of CourseCourse TitleHours per WeekCreditsCumulative Minimum Credits required for Certificate / Diploma / Degree / Honours
LectureTutorialPractical
VMandatory CourseDatabase Management System 3045Degree in Bachelor of Data Science
Mandatory CourseOperating System3045
Mandatory CourseBig Data Hadoop / Spark3045
Minor Stream (Elective Paper 1)Security & Emerging Technologies2044
Multidisciplinary (Elective Paper 2)GE – Paper2002
Value Added Course (Comp 3)Gender Sensitization (Basic)1001
Ability Enhance Course (Comp 1)English Language & Soft Skills1022
Summer Internship – 20063
VIMandatory CourseComputer Networks3045
Minor Stream (Elective Paper 1)Cryptography2044
Multidisciplinary (Elective Paper 2)GE – Paper2002
Ability Enhance Course (Comp 1)English Language & Soft Skills1022
Value Added Course (Comp 3)Gender Sensitization (Advanced)1001
Skill Enhancement Course (Comp 2)45 Hrs Workshop on IoT for Automation and assesments1203
Grand Total2523444
SemesterType of CourseCourse TitleHours per WeekCreditsCumulative Minimum Credits required for Certificate / Diploma / Degree / Honours
LectureTutorialPractical
VIIMandatory CourseIntroduction to Machine Learning3045Degree in Honours of Data Science
Mandatory CourseDeep Learning3045
Mandatory CourseSoftware Engineering2002
Minor Stream (Elective Paper 1)Application Security & Auditing 2044
Summer Internship – 30042
VIIIMandatory CourseAdvance Data Analytics3045
Mandatory CourseBusiness Analytics3045
Minor Stream (Elective Paper 1)Natural Language Processing2044
Research Project / DissertationProject III002412
AssessmentGrand Viva0063
Grand Total1805847
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