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Computer Science and Engineering with specialization in Cyber Security/ Data Analytics

Computer Science and Engineering seems to have become the most popular course in this century for engineering aspirants. With rapid rise in cyber-terrorism, misuse of social media and internet usage, our technology security experts think that India is yet not well equipped to handle these threats. Cyber Security market to touch $32 billion by 2025. Expansion will require 1 million (10 lakh) Cyber Security professionals. Bengal hopes to train one lakh Cyber Security experts from the state. - The Telegraph, Saturday, March 17, 2018. 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

Course Offered Duration (in years) Eligibility Criteria
B.Tech In Computer Science & Engineering With Specialization In Cyber Security/ Data Analytics 4 12th standard pass with Physics, Maths, Chemistry/ Computer Science with at least 60% marks.
B.Tech & M.Tech in Computer Science & Engineering With  Specialization In Cyber Security/ Data Analytics 6  

 

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

Course Structure Cyber

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

Environmental Science

3

Workshop Practice

2

TOTAL

24

Semester 3

Subject Name

Credit Points

Information Security Fundamentals (for Cyber Security)*

2

Computer Architecture and Organization

3

Object-Oriented Program Design

5

Data Structure, Algorithm and Complexity

5

English II / General Elective I

3

Introduction to Psychology

3

TOTAL

21

Semester 4

Subject Name

Credit Points

Microprocessor and Interfacing

3

Database Systems

5

Operating Systems

5

IT Physical &Systems Security (for Cyber Security)*

3

Numerical Methods

3

General Elective II / Computer Graphics & Visualization

3

TOTAL

22

Semester 5

Subject Name

Credit Points

IT Data & Application Security (for Cyber Security)*

4

IT Network Security (for Cyber Security)

3

Computer Networks & Graph Theory

5

Embedded Systems

5

Program Elective I / Platform Security

3

Applied Economics 3
General Elective III / Cloud Computing 3

TOTAL

27

Semester 6

Subject Name

Credit Points

Fundamentals of Cryptography

3

Digital Forensics (for Cyber Security)

5

Software Engineering

5

Program Elective II/ Web Security

3

Program Elective III/ Cloud Security 3

General Elective IV/

IT Security Evaluation Criteria (ITSEC)*

3
General Elective IV / Human Computer Interface 3

TOTAL

26

Semester 7

Subject Name

Credit Points

Parallel and Distributed Computing

3

Information Security Audit & Monitoring (for Cyber Security)*

8

Security Policy and Governance

3

Program Elective V/

Information Security Intelligence & Compliance Analytics*

3

Program Elective VI / Secure Software Engineering

3

General Elective V / Intelligent Systems

3

General Elective VI / Hardware Software Co-design

3

General Elective VII 

2

TOTAL

28

Semester 8

Subject Name

Credit Points

Project (After completion of Semester 7)

20

TOTAL

20


* IBM Specialized Courseware

Course Structure  Data analytics

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

 

INDUSTRY PARTNERSHIP

IBM India Private Limited

The Neotia University (TNU) and IBM have collaborated to bring the Computer Science & Engineering Course with two specialisations to the students of TNU. Computer Science & Engineering Course students in TNU can choose either Cyber Security/ Data Analytics as their subject specialisation under the program. The collaboration agreement between IBM and TNU provides the following advantages to TNU students:

  • The curriculum of the courses is jointly developed by IBM subject experts and TNU faculty members.
  • Under the centralised Teach the Teacher (T3) program, IBM conducts workshops for selected TNU faculty so that the program can be delivered with intended quality.
  • IBM provides web portal, an online ecosystem platform; to seamlessly connect IBM, TNU and TNU students.
  • The students can access online IBM specialisation course material and other online collaborative environment functionalities.
  • IBM provides all relevant course materials pertaining to the programs to the students.
  • IBM technology professionals visit TNU campus as per the program requirement.
  • IBM hold one Webinar for Industry Guest Lecture once per semester.
  • IBM organise Gurukool program for participating students of 3rd year in Bangalore or any other location decided by IBM.
  • IBM advises/suggests on the lab set up and lab instructions for students.
  • IBM shall handover consolidated completion certificate on completion of program to every student of Computer Science & Engineering Course in TNU. All the above advantages ensure a better skill set and employability to all participating TNU students.

Batoi Systems Private Limited

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.

 

CAREER PROSPECTS

Computer Science and 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. IBM shall handover consolidated completion certificate on completion of program to every student of Computer Science & Engineering Course in TNU. The certificate will help students in their employment. Cyber threat is paralysing the whole world and, at the same time, constantly creating new career opportunities. The demand for specialists in the field is high as industries such as finance, manufacturing, retail, health care - to name only a few - are hiring cyber security personnels to protect valuable data. After completion of the Computer Science and Engineering course with specialization in cyber security, students will be capable of working as information security officer, forensic computer analyst, information security analyst, security architect, security engineering, security systems administrators, IT security consultants. 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.

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: +91 9831730966 / +91 916 361 0909
  • Email: contact@tnu.in

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