B.Tech/M.Tech in Computer Science and Engineering with specialization in Data Analytics

 

 

Course Offered

Duration (in years)

Eligibility Criteria

B.Tech in Computer Science and Engineering (Data Analytics)

4

12th standard pass with Physics, Maths, Chemistry/ Computer Science with at least 60% marks (to be adjusted).

M.Tech in Computer Science and Engineering (Data Analytics)

6

 

On successful completion of the 4-year course, the students will receive a B.Tech Degree in Computer Science and Engineering with specialization in Data Analytics and those who successfully complete the 6-year course, will receive M.Tech Degree in Computer Science and Engineering with specialization in Data Analytics. Students have the option to exit after 4 years, with only the B.Tech Degree.

Data analytics refers to qualitative, quantitative and statistical techniques & process used to describe and illustrate, condense and recap, and probe large and varied data which is extricated and classified to pinpoint and figure out behavioural uncover hidden patterns, market trends, customer preferences, unknown correlations and other useful information to intensify productivity & can be used to assist organizations for taking more-acquainted business decisions and also help scientists and researchers to verify or disprove scientific models, theories and hypotheses.

B.Tech in Computer Science and Engineering with specialization in Data Analytics curriculum at The Neotia University exposes students to all aspects of data analytics including research, design, data collection, interpretation, preparation, partition, synthesis, perception. The curriculum is strongly aligned with industry requirements and emphasize on industry projects and interactions.

Course Structure

Semester 1

Subject Name

Credit Points

Effective English (English deficient students only) / English I

3

Mathematics I

4

Physics I

5

Introduction to Electronics

5

Computer Programming and Problem Solving

5

Engineering Drawing

2

TOTAL

24

Semester 2

Subject Name

Credit Points

Mathematics II

4

Physics II

4

Open Source Software and Open Standards (for all)*

2

Web Programming through PHP (for tech students)*

4

Digital Logic Design

5

Workshop Practice

2

Environmental Science

3

TOTAL

24

Semester 3

Subject Name

Credit Points

Applied statistical Analysis (for Data Analytics)*

4

Computer Architecture and Organization

3

Object-Oriented Program Design

4

Data Structure, Algorithm and Complexity

5

English II / General Elective I

3

Introduction to Psychology

3

TOTAL

21

Semester 4

Subject Name

Credit Points

Data Mining & Protective Modelling (for Data Analytics)*

4

Database Systems

5

Soft Computing

3

Operating Systems

5

Numerical Methods

3

General Elective II / Computer Graphics & Visualization

3

TOTAL

23

Semester 5

Subject Name

Credit Points

Data Warehouse & Multidimensional Modelling (for Data Analytics)*

4

IBM Watson (for Data Analytics)*

4

Computer Networks & Graph Theory

5

Embedded Systems

3

Program Elective I

3

Applied Economics 3
General Elective III / Cloud Computing 3

TOTAL

27

Semester 6

Subject Name

Credit Points

Fundamentals of Cryptography

3

Business Intelligence (for Data Analytics)*

4

Social, Web & Mobile Analytics (for Data Analytics)*

4

Program Elective II

3

Program Elective III

3

General Elective IV / Human Computer Interface

3

General Elective V / Intelligent Systems 3

TOTAL

23

Semester 7

Subject Name

Credit Points

Parallel and Distributed Computing

3

Big Data Analytics and Hadoop (for Data Analytics)*

4

Security Policy and Governance

3

Program Elective IV

3

Program Elective V

3

Program Elective VI

3

General Elective VI / Hardware Software Co-Design

3

General Elective VII 

2

TOTAL

24

Semester 8

Subject Name

Credit Points

Project (After completion of Semester 7)

20

TOTAL

20

* IBM Specialized Courseware

Advisory Committee

Dr.Ujjwal Maulik
 Professor Computer Science and Engineering
 Jadavpur University

Dr.Gulshan Rai
 Cyber Security Head
 Government of India

Dr.Sipra Das Bit
 Professor Computer Science and Technology
 Mechanical Engineering
 IIEST

Dr.Shefali S. Dash
 Former Director Genera
 Ministry of Communications & Information Technology

Prof. M. Khalid
 Former Director, NITMAS

 
  • Career Prospects for Computer Science Engineering with specialization in Data Analytics

    Computer Science & Engineering students have the option for entering all the mainstream IT related jobs in the profiles of a  software developer,system designer, system analyst, networking engineer, system administrator, software tester, etc. After successfully completing the computer science and engineering course with specialization in data analytics, students can work as data scientist, data engineer, big data engineer, business analytics specialist, management analyst, data visualization developer, statistician, and so on. Since the range of opportunities is large, one may also opt for higher studies and research work in this domain.

 

Get In Touch

  • City Office: Monday - Friday: 11:00 AM - 6:00 PM
  • Saturday (1st, 3rd, 5th) - 11:00 AM - 6:00 PM
  • Campus: Monday - Friday 10AM - 4PM
  • Phone: 1800 419 0909
  • Email: contact@tnu.in

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