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M.TEch | Computer Science & Engineering

Duration : 2 yrs. (4 Semesters)

The Department of Computer Science and Engineering offers M.Tech in Computer Science and Engineering. As Digital Technologies occupy the central space in every industry, the Master’s course is focused on imparting in-depth knowledge of various aspects of Computer Science and Information Technology to the students. With smartphones and digital gadgets occupying maximum space in our life, M.Tech in Computer Science and Engineering is fast emerging as the preferred choice of career. The course involves project based learning and chances to interact with industry and academia experts that help the students to learn and incorporate emerging technologies and understand their practical application for problem solving.

Programme Objective

  • To impart in-depth knowledge of modern computer technologies
  • To help the students learn and master coding skills
  • To make the students capable of providing solutions through computer programming
  • To create success stories of innovation and digital advancements in the world of Artificial Intelligence and Machine Learning.

Programme Outcome

  • Students emerge confident about dealing with Data Science, Artificial Intelligence and building software for solving problems
  • Expert level knowledge about topics such as software testing, machine learning, artificial intelligence, data security, project management and quality assurance
  • Create a niche for themselves in their choice of a career ranging from software development to data management to AI tools.

rankings

PLacement Highlights

Curriculum

1st Semester

This subject provides an overview of main concepts of advanced data sturcture like RED BLACK trees, 2-3 trees, 2-3-4 trees, lower bound theory etc. Advanced Data structures are one of the essential branches of data science which is used for storage, organization and management of data and information for efficient, easy accessibility and modification of data.

This subject provides with an overview of the main concepts of advanced operating
systems like parallel processing systems, distributed systems, real time systems, network operating systems, and open source operating systems. Understand the various deadlock detection and management algorithms. Implementation of the various interprocess communication protocols.

This subject provides students with an overview of the advanced concepts of data communication and computer networks. Understand the functionality of all layers of ISO/OSI reference model and different protocols of TCP/IP suites,routing etc.

This subject introduce students to advanced aspects of processor design and will specifically focus on out-of-order pipelines, GPUs, and compiler techniques for enhancing ILP.

To have a detailed knowledge of the Advanced structure and operation of a digital computer & discuss in detail the operation of the arithmetic unit including the algorithms & implementation of fixed-point and floating-point addition, subtraction, multiplication & division.

In this lab student learns how Data Structures are used to store and manage data in an efficient and organised way for faster and easy access and modification of Data. Some of the advanced data structures are Trees, Graphs, Arrays, LinkedList, Stacks, Queues etc.

It helps to apply various data structures like array, linked list, stack, queue, trees and graphs in projects.

With the help of Excel Skills students are able to Improve time management, holistic look at the data, faster, more accurate calculations, enhanced analytical skills and data visualization techniques and ideas.

2nd Semester

This subject will help the students to gain the basic concepts and terminology related to DBMS and Relational Database, techniques for query processing and optimization with transaction and concurrency control techniques etc.

This subject helps students to gain in depth information about system implementation techniques, query processing and optimization, enhance database handling, data manipulation and data processing skills through SQL & PL/SQL.

3rd Semester

Discuss the characteristics and attributes of mobile computing and m-commerce & Describe the drivers of mobile computing. Understand the technologies that support mobile computing & Describe wireless standards and transmission networks.

Help to understand why information systems are so important today for business and management & Evaluate the role of the major types of information systems in a business environment and their relationship to each other & Assess the impact of the Internet and Internet technology on business electronic commerce and electronic business.

It describes the high level concepts of java Programming which includes Servlets, syntax, idioms, patterns, and styles and to become comfortable with object oriented programming & also to write programs using object-based techniques including classes, objects and inheritance. To develop applets & to create java server pages.

Able to understand the routing concept of mobile Ad Hoc network & also to understand the reliable and unreliable communication in mobile ad hoc network. Creates the security mechanism for mobile Ad Hoc network & understand the solutions to improve the quality of service in mobile Ad Hoc network.

The goal is to introduce the basics of computer networks and internet programming. Also describes the multi-tier application development and RPC technologies including: RMI, CORBA, EJB, and Web Services.

It provides a comprehensive foundation to Artificial Neural Networks and Machine Leaning with applications to Pattern Recognition and Data Mining. Learning processes: supervised and unsupervised, deterministic and statistical. Clustering, Least-Mean-square, back propagation.

4th Semester
Master the critical ideas of computational thinking and algorithmic approaches for problem solving. Demonstrate broad knowledge of a particular research field. Critically analyze published research in the particular interested area.
Electives

Software testing is a method of determining whether the actual software product meets the expected requirements and ensuring that the software product is free of defects. It entails running

This course is focused on giving you real world coding experience and hands on project work with ARM based Microcontrollers. It covers how to implement software configuration management and develop embedded software applications.

This course introduces you to the core concepts of cloud computing. You gain the foundational knowledge required for understanding cloud computing from a business perspective as also for becoming a cloud practitioner. You understand the definition and essential characteristics of cloud computing, its history, the business case for cloud computing, and emerging technology usecases enabled by cloud. We introduce you to some of the prominent service providers of our times (e.g. AWS, Google, IBM, Microsoft, etc.) the services they offer, and look at some case studies of cloud computing across industry verticals

This subject uses e-commerce and erp concepts in real life projects and product development.
This subject overviews the fundamental principles of access control models and techniques, authentication and secure system design. Understanding of different cryptographic protocols and techniques and be able to use them.
This subjects provide Knowldge about how to prepare quality software's using object oriented approach.

This subject imparts the fundamental knowledge of mobile computing of different types of networks including Cellular network and Ad hoc network. Student learn how to develop system and application level software for small, battery powered terminals equipped with the wireless network connection

This course introduces the concept of soft computing, techniques of soft computing and their importance in handling the real life problem. It includes introduction to neural network, genetic algorithm and fuzzy logic and their hybrids.

In this course students will learn how AI and ML fit in the data science ecosystem, and presents several real-world use cases that show how companies are implementing ML to maximize their business results.

This subjects gives Knowledge about fundamentals of SAP and various SAP systems portfolios and their components.

This project-oriented subject examines the principles of mobile application design and development. Students will learn application development on the Android platform. They design applications on topics like user interface design and building, data handling, SMS and Telephony Manager, GPS and sensors, Graphics and Animations, Multimedia etc. Also, they will get familiarised with packaging, versioning, signing and distribution of Mobile applications.
Big data analytics is the use of advanced analytic techniques against very large, diverse data sets that include structured, semi-structured and unstructured data, from different sources, and in different sizes from terabytes to zettabytes. Big data is a term applied to data sets whose size or type is beyond the ability of traditional relational databases to capture, manage and process the data with low latency.
This subject provide Knowledge about Network Programming and its practical approach.
This Course focuses on hands on IoT concepts such as sensing, actuation and communication. It covers the development of Internet of Things (IoT) prototypes—including devices for sensing, actuation, processing, and communication to help students develop skills and experiences.
This course is introduced to make student understand about the primary concept of decentralized ledger for peer to peer network for secure and safe transactions using blockchain. Its primary focus is on Bitcoin (digital currency) and Hyperledger based blockchain technology including smart contract. Student will understand how Blockchain technology provides greater transparency, enhanced security, and easier traceability for various applications without the need of central authorities.
Data warehouse stores a large amount of historical data which helps users to analyze different time periods and trends to make future predictions. Data mining is used to discover patterns and relationships in the data in order to help make better business decisions.
This subjects provide Knowledge about how to prepare quality software's and requirements for it.
This subject imparts the fundamental knowledge of cyber security and every aspect of protecting an organization and its employees and assets against cyber threats. Students learn a variety of cyber security solutions are required to mitigate corporate cyber risk.

This Course explain the basic concepts and challenges of Wireless adhoc and sensor networks, Classify the design issues and different categories of MAC protocols, Explain the various adhoc routing protocols and transport layer mechanisms, Discuss the sensor characteristics and wsn layer protocols, Illustrate the issues of routing in wsn and QoS related performance measurements

It is a project-based course where you will be able to gain knowledge right from the basic principles of how machine learning can benefit from work, and how this can be implemented in Python using the Pennylane library by Xanadu. Additionally, you will also learn how software libraries can be used to code quantum algorithms.

Eligibility Criteria

Duration: 2 yrs.

Passed Bachelor’s Degree in Engineering & Technology or equivalent in the relevant field.

Obtained at least 50% marks (45% in case of candidates belonging to reserved category) in the qualifying Examination

Key Recruiters of the departmental students

Fees

Course Course Fee 
Indian (INR) International (USD)
Tuition Fee Development Fee
M Tech (Computer Science & Engineering)
87,000 13,000
-

Note:

  1. The Fee will have to be deposited at the time of Counselling.
  2. University Charges will be extra as per University norms.
  3. Fee once paid shall not be refunded under any circumstances.
  4. There will be an annual increase of 7% in tuition fees.
  5. Students Fund for all the students is Rs.2,000/- p.a.
  6. Lifetime Alumni Membership fee is Rs. 4,000/-.
  7. Hostel & Transport Charges will be extra.
  8. Students who wish to leave the Institute mid-stream, will have to deposit the fee for the remaining period of the course as per judgement of the Hon'ble Supreme Court in the case of Islamic Academy of Education and others Vs State of Karnataka & PA lnamdar case.

Merit Scholarships

(Scholarships on the basis of % of Marks in Qualifying Exam)

% Marks Scholarship Criteria (% Tuition Fee Waiver)
90% & above 100%
80 to 89.99% 40%
70 to 79.99% 30%
60 to 69.99% 20%

Alumni Speaks

M.Tech | Computer Science & Engineering

The Department of Computer Science and Engineering offers M.Tech in Computer Science and Engineering. As Digital Technologies occupy the central space in every industry, the Master’s course is focused on imparting in-depth knowledge of various aspects of Computer Science and Information Technology to the students. With smartphones and digital gadgets occupying maximum space in our life, M.Tech in Computer Science and Engineering is fast emerging as the preferred choice of career. The course involves project based learning and chances to interact with industry and academia experts that help the students to learn and incorporate emerging technologies and understand their practical application for problem solving.

Course Objective

  • To impart in-depth knowledge of modern computer technologies
  • To help the students learn and master coding skills
  • To make the students capable of providing solutions through computer programming
  • To create success stories of innovation and digital advancements in the world of Artificial Intelligence and Machine Learning.

Course Outcome

  • Students emerge confident about dealing with Data Science, Artificial Intelligence and building software for solving problems
  • Expert level knowledge about topics such as software testing, machine learning, artificial intelligence, data security, project management and quality assurance
  • Create a niche for themselves in their choice of a career ranging from software development to data management to AI tools.

Curriculum

1st Semester

This subject provides an overview of main concepts of advanced data sturcture like RED BLACK trees, 2-3 trees, 2-3-4 trees, lower bound theory etc. Advanced Data structures are one of the essential branches of data science which is used for storage, organization and management of data and information for efficient, easy accessibility and modification of data.

This subject provides with an overview of the main concepts of advanced operating
systems like parallel processing systems, distributed systems, real time systems, network operating systems, and open source operating systems. Understand the various deadlock detection and management algorithms. Implementation of the various interprocess communication protocols.

This subject provides students with an overview of the advanced concepts of data communication and computer networks. Understand the functionality of all layers of ISO/OSI reference model and different protocols of TCP/IP suites,routing etc.

This subject introduce students to advanced aspects of processor design and will specifically focus on out-of-order pipelines, GPUs, and compiler techniques for enhancing ILP.

To have a detailed knowledge of the Advanced structure and operation of a digital computer & discuss in detail the operation of the arithmetic unit including the algorithms & implementation of fixed-point and floating-point addition, subtraction, multiplication & division.

In this lab student learns how Data Structures are used to store and manage data in an efficient and organised way for faster and easy access and modification of Data. Some of the advanced data structures are Trees, Graphs, Arrays, LinkedList, Stacks, Queues etc.

It helps to apply various data structures like array, linked list, stack, queue, trees and graphs in projects.

With the help of Excel Skills students are able to Improve time management, holistic look at the data, faster, more accurate calculations, enhanced analytical skills and data visualization techniques and ideas.

2nd Semester

This subject will help the students to gain the basic concepts and terminology related to DBMS and Relational Database, techniques for query processing and optimization with transaction and concurrency control techniques etc.

This subject helps students to gain in depth information about system implementation techniques, query processing and optimization, enhance database handling, data manipulation and data processing skills through SQL & PL/SQL.

3rd Semester

Discuss the characteristics and attributes of mobile computing and m-commerce & Describe the drivers of mobile computing. Understand the technologies that support mobile computing & Describe wireless standards and transmission networks.

Help to understand why information systems are so important today for business and management & Evaluate the role of the major types of information systems in a business environment and their relationship to each other & Assess the impact of the Internet and Internet technology on business electronic commerce and electronic business.

It describes the high level concepts of java Programming which includes Servlets, syntax, idioms, patterns, and styles and to become comfortable with object oriented programming & also to write programs using object-based techniques including classes, objects and inheritance. To develop applets & to create java server pages.

Able to understand the routing concept of mobile Ad Hoc network & also to understand the reliable and unreliable communication in mobile ad hoc network. Creates the security mechanism for mobile Ad Hoc network & understand the solutions to improve the quality of service in mobile Ad Hoc network.

The goal is to introduce the basics of computer networks and internet programming. Also describes the multi-tier application development and RPC technologies including: RMI, CORBA, EJB, and Web Services.

It provides a comprehensive foundation to Artificial Neural Networks and Machine Leaning with applications to Pattern Recognition and Data Mining. Learning processes: supervised and unsupervised, deterministic and statistical. Clustering, Least-Mean-square, back propagation.

4th Semester
Master the critical ideas of computational thinking and algorithmic approaches for problem solving. Demonstrate broad knowledge of a particular research field. Critically analyze published research in the particular interested area.

Career Opportunities

Employment opportunities are definitely on the rise with the introduction of Master of Computer Science Engineering courses across top Engineering Colleges/universities. Students after passing out Master in CSE course get good opportunities to join some of the top brands and corporate houses across multiple industries such as IT/software companies, sales and marketing companies, academic institutions, journalism, content industry, engineering firms, etc.

Apart from the  IT sector, the students can also make their careers in various private and public industries, the defense sector including the Armed forces, government departments, business organizations, commercial, financial and the manufacturing sectors.
Students inclined for research jobs can explore opportunities in various research institutes or explore their innovative ideas in the entrepreneurship field as well.

Career Prospects

Here is a list of the major career options after pursuing engineering in this field:

  • Software Developer
  • Database Administrator
  • SAP Consultant
  • Software Testing Engineer
  • Network Administrator
  • Information Systems (IS) Managers
  • Computer Hardware Engineer
  • Web Developer
  • Information Security Analyst
  • Project Manager and many more.

Eligibility Criteria

Duration: 2 yrs.

Passed Bachelor’s Degree in Engineering & Technology or equivalent in the relevant field.

Obtained at least 50% marks (45% in case of candidates belonging to reserved category) in the qualifying Examination

Fees

Course Course Fee 
Indian (INR) International (USD)
Tuition Fee Development Fee
M Tech (Computer Science & Engineering)
80,000 20,000
-

Note:

  1. The Fee will have to be deposited at the time of Counselling.
  2. University Charges will be extra as per University norms.
  3. Fee once paid shall not be refunded under any circumstances.
  4. There will be an annual increase of 7% in tuition fees.
  5. Students Fund for all the students is Rs.2,000/- p.a.
  6. Lifetime Alumni Membership fee is Rs. 4,000/-.
  7. Hostel & Transport Charges will be extra.
  8. Students who wish to leave the Institute mid-stream, will have to deposit the fee for the remaining period of the course as per judgement of the Hon'ble Supreme Court in the case of Islamic Academy of Education and others Vs State of Karnataka & PA lnamdar case.

Top Recruiters

Here is a list of the major IT Companies visited in the campus for recruitment is:

  • Infosys Technologies
  • IBM
  • Capgemini
  • Lido Learning
  • Byju’s
  • MAQ Software
  • Hashedin
  • Jugnoo
  • Global Logic
  • Pfizer
  • Mothersonsumi
  • Nineleaps
  • Libsys Ltd.
  • Daily Hunt
  • Extra Marks
  • Fiserv and many more
  • Mind Tree
  • Daffodil Software and many more

Admission Enquiry 2020

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