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Helpline no. 0129-4259000

Helpline no. 0129-4259000

          ADMISSION BROCHURE ONLINE COURSES

MANAV RACHNA INTERNATIONAL INSTITUTE OF RESEARCH AND STUDIES

(Formerly MANAV RACHNA INTERNATIONAL UNIVERSITY )

Deemed to be University under section 3 of the UGC Act,1956

B.Tech-Computer Science and Engineering –Artificial Intelligence and Machine Learning(Lateral Entry)

Under this programme, the students can get the B.Tech in Computer Science & Engineering (Artificial Intelligence and Machine Learning) by earning an additional 18-20 credits in the given particular domain as per
the provision prescribed by the AICTE. At MRIIRS, the courses under the said domain of Artificial Intelligence and Machine Learning shall be offered in association with Knowledge Partner.

Duration 3 Yrs
COURSE FEES (Per annum) for Indian Nationals in Rupees 2,77,500/-
Criteria for Preparation of Merit list Merit preparation / short listing of candidates shall
be on the basis of score in

MRNAT 2024 / Marks in

Qualifying Examination

Eligibility Criteria 45% marks in 3-year  Diploma in Engineering in
any branch/discipline from State Board of Technical Education or Equivalent
Examination or B.Sc. Degree from a recognized University as Defined by UGC,
with at least 50 % marks and passed XII standard with Mathematics as a subject

 

COURSE STRUCTURE

B.Tech – Computer Science and Engineering -Digital Forensics and Cyber Security (through Lateral Entry)

Foundation Courses

Core Courses

Elective Courses

Generic

Discipine

Open

Theory Courses

Theory Courses

Lab Courses

Elective G-1:

Elective D-1:

Elective O-1:

Applied Physics-I Elements of Computer and Programming Computer Programming Lab Soft Skills-I C# and .NET Industrial Management and Enterpreneurship
Applied Maths-I Elements of Electrical Engineering Computer Aided Drafting French-I J2EE Programming Fundamentals of Embedded systems
Industrial Chemistry Digital Electronics and Circuits Digital Electronics and Circuits Lab German-I Open CL Programming Advances in Wireless Communication
Professional Communication -I Elements of Discrete Structures Data Structures and Algorithms Lab Chinese-I Advanced DBMS Fundamentals of Digital System Design
Applied Physics-II Data Communication andComputer Networks Object Oriented Programming Systems Lab Elective G-2: Elective D-2: Elective O-2:
Applied Maths-II Data Structures and Algorithms Principles of Operating Systems Lab Soft Skills-II C# and .NET Lab Marketing Management
Environmental Studies Computer Architecture and Organization Database Management Systems Lab French-II J2EE Programming Lab Human Resource Management
Professional Communication -II Object Oriented Programming Systems Analysis and Design of Algorithms Lab German-II Open CL Programming Lab Project Management
Holistic Wellness & Life Skills Principles of Operating Systems Java Programming Lab Chinese-II Advanced DBMS Lab Robotics
Quantitative Aptitude-I Software Engineering Micro Processor and Interfacing Lab Elective D-3:
Quantitative Aptitude-II Database Management Systems Computer Graphics Lab Software Project Management

Physics Lab

Analysis & Design of Algorithms Web Technology and Cyber Security Lab System Analysis and Design

Chemistry Lab

Theory of Automata and Computation System Programming and System Administration Lab Digital Image Processing

Workshop Practices – I

Java Programming Information Storage and Management Lab Advanced Computer Architecture
Workshop Practices – II Micro Processor and Interfacing Software Development Processes Lab Digital Signal Processing
Applied Maths-III (For All LE Students only) Computer Graphics Artificial Intelligence Lab Elective D-4:
Applied Maths-IV (For All LE Students only) Web Technology and Cyber Security Project Phase-I Distributed Operating System
System Programming and System Administration Colloquium Management Information Systems
Software Testing and Quality Assurance Network Programming and Administration Lab Remote Sensing and GIS
Information Storage and Management Project Phase-II Compiler Design
Software Development Processes E-Commerce and ERP
Artificial Intelligence Elective D-5:
Data Warehouse and Data Mining Grid Computing
Network Programming and Administration Business Intelligence
Industrial Training Neural Networks
Fuzzy Theory
Elective D-6:
CAD for VLSI Design
MATLAB Programming
Simulation and Modelling
Advanced Computing
Computational Game Theory
Elective D-7:
Machine Learning Techniques
Soft Computing
Biometric Security
Adhoc and Wireless Sensor Networks
Big Data Analytics
Natural Language Processing
Elective D-8:
CAD for VLSI Design Lab
MATLAB Programming Lab
Simulation and Modelling Lab
Advanced Computing Lab
Computational Game Theory Lab

 

PLACEMENT OPPORTUNITIES

Excellent placements with over 90% of its eligible/ willing students placed in companies namely Microsoft, Infosys, TCS, Cognizant, Wipro, L&T Infotech, HCL, IBM, Hewitt, Tata Telecom, NIIT, Dell, Capital IQ, Vodafone, Airtel, Idea etc. With the introduction of specializations in B.Tech (CSE) Programme, placement opportunities for the students pass-out from the specialized programme will get further enhanced in a big way. In addition, placement opportunities are also available in the organizations such as DRDO, ISRO, ONGC, NIC, BSNL, Armed Forces, IES, Civil Services, Banking, Health Sector, etc.

The introduction of specializations in M.Tech (CE) Programmes such as Computer Networking (CN) aims at exposing students to the current edge of research.

Many students opt for higher studies/research in India/Abroad. The programmes running in the Department also prepare the students to choose a career in research and development, which provide an excellent foundation for Ph.D study.

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