Noble University

Noble University

COMPUTER ENGINEERING

Masters of Computer Engineering

About Masters of Computer Engineering Programme

The Master of Technology in Computer Engineering (M.Tech Computer) at Noble University is a specialized Programme that advances students’ understanding of computer science and engineering principles. With an emphasis on research, design, and development, the Programme enables students to delve deeper into areas like artificial intelligence, data science, and machine learning.

Students will gain a deeper understanding of the technical aspects of computer engineering, equipping them for leadership roles in technology-driven organizations. This master in computer engineering Programme provides opportunities to work on cutting-edge research projects that can influence future innovations.

Why Choose the M.Tech Computer at Noble University?

The M.Tech Computer Engineering Programme prepares students for advanced positions in the IT industry, equipping them with the skills needed to innovate in emerging fields.

Programme Outcome

AI Engineer

Develop systems that simulate human intelligence, focusing on machine learning and deep learning technologies.

Data Scientist

Analyze complex data to uncover trends, patterns, and insights to drive business decisions.

Software Architect

Design and develop large-scale software systems and applications.

Cloud Engineer

Work on cloud-based systems and infrastructure, managing scalable cloud solutions.

Research and Development Engineer

Conduct research and develop new technologies in the field of computer engineering.

Systems Engineer

Oversee the design and implementation of complex computer systems, ensuring integration and functionality.

Program Details

Duration

2 Years

Eligibility

B.E./B.Tech. with Min.50% of Marks + GATE

Mode of Admission

As Per ACPC Procedure

Fees

Faculties

eBrochure

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Programme Details

Duration

2 years

Eligibility

B.E./B.Tech. with Min.50% of Marks + GATE

eBrochure

Download

Programme Curriculum

Semester 1

Subject Code Subject name
MHS101 English for Research Paper Writing
MCE101 Big Data Analytics
MCE102 Distributed System
MCE103 Machine Learning
MCE104 Advanced Data Structure

Semester 2

Subject Code Subject name
MHS201 Research Methodology
MCE201 Cloud Computing
MCE202 Advance Machine Learning
MCE203 Advance Algorithm
MCE204 Computer Vision
MCE205 Mini Project with Seminar

Semester 3

Subject Code Subject name
MEIR301 Internal Review - I
MEDP302 Dissertation Phase - I

Semester 4

Subject Code Subject name
MEIR401 Internal Review - II
MEDP402 Dissertation Phase - II

Highly Equipped Laboratories

AI / ML lab

I7 & I3 Processor, 8 GB RAM, Azure Machine, Learning Studio, Tensorflow, H2O AI

Project Management Lab

10 MBPS of BSNL VPN Connection, Wi-Fi Enabled Lab, Windows 7 Operating Systems, MS Office 2007, Adobe Reader, Quick Heal Internet Security 2013

Software Engineering Lab

Rational Rose, Dreamweaver, Visual Studio 2010, .NET Framework 3.5, PHP, XAMPP

Data Structure / C++/C Programming Lab

TURBO C, TURBO C++, Dreamviewer, VsCode, Notepad++.

Web Development Technology | CN Lab

Dreamviewer, Wamp Server, Cisco Packet Tracer, VsCode, Notepad++, MS Office, MS Project

Database | PPD | MP | .NET Lab

Oracle 9.0, SQL Server 2008, Oracle 10G, Simulator, Visual Studio 2010

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Admission Form