Call Now(+91) 9540 299 944

Total Branches9 Branches


MDCE (Master Diploma in Computer Engineering)

Welcome to the Master Diploma in Computer Engineering, an advanced program designed to empower you with comprehensive knowledge and expertise in the field of computer engineering. This program is tailored for individuals seeking to elevate their careers and delve deeper into the intricate world of computer systems, hardware, and software. With a focus on cutting-edge technologies and emerging trends, you will acquire a deep understanding of advanced concepts such as computer architecture, network protocols, operating systems, and algorithm design. Through a blend of theoretical learning and practical hands-on experiences, you will develop the skills necessary to tackle complex engineering challenges and drive innovation in the ever-evolving digital landscape. Explore the advantages of our Master Computer Engineering Diploma in Delhi program in advancing your engineering expertise.

Course Duration– 3 Years

The Master Diploma in Computer Engineering course at the IICS Institute in Delhi spans a duration of 3 years, providing students with an extensive and in-depth educational experience. Over these three years, students have the opportunity to delve deeply into their chosen fields of study, gaining comprehensive knowledge and honing their practical skills.

MODULE 1 (Module Detail)

Information Technology Tools and Network Basics

This module provides an introduction to information technology tools and network basics. It covers essential concepts, tools, and technologies used in the field of information technology, as well as the fundamentals of computer networks. The module aims to equip learners with the foundational knowledge necessary to understand and work effectively with IT tools and network systems.

  1. Introduction to Computer
  2. Introduction to the Operating System
  3. Word Processing
  4. Spreadsheet
  5. Presentation
  6. Introduction to the Internet and WWW
  7. E-mail, Social Networking and e-Governance Services
  8. Digital Financial Tools and Applications
  9. Overview of Future Skills & Cyber Security

MODULE 2 (Module Detail)

Web Designing & Publishing

This module provides an introduction to web designing and publishing, covering the essential skills and knowledge needed to create and publish websites. It explores the principles of web design, including layout, typography, color theory, and user experience (UX) design. The module also addresses the technical aspects of building and publishing websites, such as HTML, CSS, and content management systems (CMS).

  1. Introduction to Web Design and Editors, HTML Basics
  2. Cascading Style Sheets (CSS)
  3. CSS Framework
  4. JavaScript and AngularJs
  5. Photo Editor, Web Publishing and Browsing

MODULE 3 (Module Detail)

Programming and Problem Solving through Python

This module focuses on programming and problem-solving using the Python programming language. It aims to equip learners with the fundamental concepts and skills needed to write Python programs and solve real-world problems. The module covers topics such as variables, data types, control structures, functions, file handling, and error handling. It also emphasizes problem-solving techniques and algorithm development, enabling learners to analyze problems, design efficient solutions, and implement them using Python.

  1. Introduction to Programming
  2. Algorithm and Flowcharts to solve problems
  3. Introduction to Python
  4. Operators, Expressions and Python Statements
  5. Sequence data types
  6. Functions
  7. File Processing
  8. Modules
  9. NumPy Basics

MODULE 4 (Module Detail)

Internet of Things (IoT)and its Applications

This module provides an overview of the Internet of Things (IoT) and its applications in various fields. It explores the concept of IoT, which refers to the network of physical objects embedded with sensors, software, and connectivity, enabling them to collect and exchange data. The module covers the key components of IoT systems, including devices, connectivity, data management, and analytics.

  1. Introduction to IoT – Applications/Devices, Protocols and Communication Model
  2. Things and Connections
  3. Sensors, Actuators and Microcontrollers
  4. Building IoT Applications
  5. Security and Future of IoT Ecosystem
  6. Soft skills Personality Development

MODULE 5 (Module Detail)

Data Structure Through Object-Oriented Programming Language

This module focuses on studying data structures using an object-oriented programming language. It aims to provide learners with a comprehensive understanding of various data structures and their implementation using an object-oriented approach. The module covers essential data structures such as arrays, linked lists, stacks, queues, trees, and graphs.

  1. Object Oriented Concepts
  2. Basics of C++ and C++ Classes and Objects
  3. Analysis of Algorithm
  4. Searching and Sorting
  5. Elementary Data Types- Arrays, Linked Lists and Types
  6. Stacks and Queues
  7. Trees
  8. Graphs

MODULE 6 (Module Detail)

Computer Organization and Operating System

This module provides an in-depth understanding of computer organization and operating systems. It covers the essential concepts and principles related to the internal structure and operation of computers, as well as the functions and components of operating systems. The module explores topics such as computer architecture, memory management, processor organization, input/output systems, file systems, and process management.

  1. Basic Structure of Computers
  2. Computer Arithmetic Operations
  3. Central Processing Unit and Instructions
  4. Memory Organization
  5. I/O Organization
  6. Operating Systems Overview
  7. Linux Basics
  8. Process Management and Shell Script
  9. Users, Groups and Permissions
  10. Standard I/O and Pipes
  11. Finding and processing files

MODULE 7 (Module Detail)

Databases Technologies

This module provides a comprehensive overview of database technologies and their applications in managing and organizing data. It covers the fundamental concepts of databases, including data models, relational databases, and database management systems (DBMS). The module explores various database technologies and their features, such as Structured Query Language (SQL), normalization, indexing, and transaction management.

  1. An Overview of the Database Management System
  2. Architecture of Database System
  3. Relational Database Management System(RDBMS)
  4. Database Design
  5. Maria DB
  6. Manipulating Data with MariaDB
  7. NoSQL Database Technologies
  8. Selecting Right Database

MODULE 8 (Module Detail)

Systems Analysis, Design and Testing

This module provides an in-depth understanding of systems analysis, design, and testing methodologies. It covers the entire software development lifecycle, from analyzing user requirements to designing and testing the system. The module emphasizes the importance of gathering and documenting user requirements, conducting feasibility studies, and creating system specifications.

  1. Introduction
  2. Requirement Gathering and Feasibility Analysis
  3. Structured Analysis
  4. Structured Design
  5. Object-Oriented Modeling Using UML
  6. Testing, System Implementation, and Maintenance, and Other Software Development Approaches

MODULE 9 (Module Detail)

Web Application Development Using PHP

The module covers concepts like database integration, user authentication, and security best practices. By the end of the module, learners will be equipped with the necessary skills to develop robust and secure web applications using PHP.

  1. Introduction to the Website Development and Introduction to Linux Operating System
  2. Review of design of Web pages
  3. Review of Client Side Validations using various techniques
  4. Server-side programming language PHP
  5. Database connectivity with PHP and MySQL
  6. Web Services & security vulnerabilities

MODULE 10 (Module Detail)

Full Stack Web Development using MVC Framework

This module focuses on full-stack web development using the Model-View-Controller (MVC) framework. The MVC framework is a widely adopted architectural pattern that separates the application’s concerns into distinct modules, namely the model (data layer), view (user interface), and controller (logic layer).

  1. MVC Infrastructure Basics, PHP Frameworks & Introduction to CakePHP
  2. Models
  3. Controller and Views
  4. PHP Basics and Conditional Logic
  5. Functions and Error Handling
  6. Object Oriented Programming
  7. MySQL Installation and Basics
  8. Advanced queries and Data Manipulation using PHP and MySQL
  9. Creating Dynamic Forms using CakePHP Html Helpers

MODULE 11 (Module Detail)

Big Data Analytics Using Hadoop

This module focuses on big data analytics using Hadoop, a popular framework for processing and analyzing large-scale datasets. It covers the fundamental concepts and technologies used in big data analytics and introduces learners to the Hadoop ecosystem.

  1. Analyze and Define Business Requirements
  2. Introduction to Operating System (Ubuntu/Linux)
  3. Java Programming
  4. . Hadoop Framework and Map Reduce Programming Technique
  5. Analyzing Data using HIVE
  6. Basics of R Programming and RHIVE
  7. HIVE-Java Connectivity
  8. Introduction to HBASE, PIG and JAQL

MODULE 12 (Module Detail)

Data Science Using Python

The module explores the entire data science workflow, including data acquisition, data cleaning and preprocessing, exploratory data analysis, feature engineering, modeling, and evaluation

  1. Python Language, Structures, Programming Constructs
  2. Data Science Concepts
  3. Numpy
  4. Pandas
  5. Statistical Concepts and Functions
  6. Matplotlib
  7. GUI – Tkinter
  8. Machine Learning

What is the Master Diploma in Computer Engineering?

The Master Diploma in Computer Engineering is an advanced program offered by the Indian Institute of Computer Sciences (IICS) in Delhi, India.

What are the key subjects covered in this program?

The program covers a wide range of subjects related to computer engineering at an advanced level. Some key subjects include advanced software engineering, artificial intelligence, machine learning, data science, computer networks, cybersecurity, and advanced programming languages.

How can I apply for this program?

To apply for the Master Diploma in Computer Engineering, you can visit the official website of IICS and follow the application process outlined on the website.

× How can I help you?