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M.Tech in Computer Science Engineering

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M.Tech in Computer Science Engineering

  • Level : Undergraduate
  • Course : M.Tech in Computer Science Engineering
  • Duration : Global Institutes offer a 2-year M.Tech program in CSE. This program consists of four semesters, with each semester lasting approximately six months. Generally, the first two semesters focus on coursework, where students learn theoretical concepts and acquire technical skills relevant to CSE. The remaining two semesters involve research work, project development, and a dissertation.

Syllabus

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About this Course

The design, development, and usage of computer software and hardware are the main topics of an undergraduate degree program called the Bachelor of Technology in Computer Science and Engineering (B. Tech CSE). In order to pursue a career in the technology industry, students must complete this course with a solid foundation in computer science, programming languages, algorithms, data structures, computer organization, software engineering, and other technical abilities. Project work, internships, and industrial visits are all included in the B.Tech CSE program to give students real-world exposure and practical experience. This course normally takes four years to complete.

Vision

The vision for a B.Tech in Computer Science and Engineering (CSE) program is to empower and inspire students to become leading professionals in the field of computer science, driving innovation, solving complex problems, and shaping the future of technology.

Mission

The mission of a B.Tech in Computer Science and Engineering (CSE) program is to provide a comprehensive education in computer science and engineering that empowers students to develop their technical and professional skills to the fullest and prepares them to be successful professionals.

M.TECH offers several career aspects and opens up a wide range of opportunities for individuals in various fields. Here are some of the potential career aspects for M.Tech graduates

  1. Research and Development (R&D): M.Tech graduates often find opportunities in research and development in industries, government research organisations, and academic institutions. They can work on cutting-edge projects, develop innovative solutions, and contribute to advancements in technology.
  2. .Engineering Services: Many M.Tech graduates choose careers in engineering services, working in industries such as manufacturing, automotive, aerospace, and telecommunications. They can be involved in product design, development, testing, and implementation.
  1. IT and Software Development: M.Tech graduates with a specialisation in computer science or software engineering can pursue careers in IT and software development companies. They can work on software design, development, testing, quality assurance, and project management roles.
  2. Government Sector: M.Tech graduates can find opportunities in the public sector, working for government organisations and agencies. They can contribute to infrastructure development, policy-making, defence, and research initiatives..
  1. Advanced Studies: M.Tech can serve as a stepping stone for further studies and research at the doctoral level. Many graduates choose to pursue a Ph.D. to delve deeper into their fields of interest and make significant contributions to academia and research.

Industrial tie-ups for M.Tech students offer valuable opportunities to gain real-world experience, collaborate with industry experts and enhance their employability. Here are some common ways in which M.Tech programs establish industrial tie-ups

  • Internship Programs: We have partnerships with leading IT companies and organizations that offer internship programs for our students. Through these internships, students gain hands-on experience, develop professional skills and apply their classroom knowledge to real –world projects.
  • Guest Lectures and Workshops: We regularly invite industry experts, IT professionals, and entrepreneurs to conduct guest lectures and workshops. These sessions provide valuable insights into the current trends, challenges and opportunities in the IT industry, allowing students to learn directly from industry practitioners.
  • Industry Visits and Expert Sessions: We collaborate with organizations to provide our students with industry projects. These projects allow students to work on real-life challenges and develop practical solutions, giving them a taste of the professional work environment.
  • Sponsored Projects and Collaborative Research: M.Tech programs may collaborate with industries to undertake sponsored projects or collaborative research initiatives. This allows students to work on real-world problems and challenges, with access to industry resources, expertise, and guidance. Such projects can result in practical solutions, patents, and publications
  • Recruitment Drives and Job Placements: Collaborations with industries often facilitate recruitment drives and job placement opportunities for M.Tech students. Industries may conduct campus interviews or recruit students directly from the program. This helps student’s secure employment in their desired fields and industries.

  • M.TECH provides an integrated set of learning opportunities for students interested in mastering the skills and knowledge necessary for effectively participating  in modern technical organisations. The PROGRAM educational objectives of the M.TECH program include:

      • PEO1:Independently design and develop computer software systems and products based on sound theoretical principles and appropriate software development skills.
      • PEO2: Demonstrate knowledge of technological advances through active participation in life-long learning.
      • PEO3: Accept to take up responsibilities upon employment in the areas of teaching, research, and software development.
      • PEO4: Exhibit technical communication, collaboration and mentoring skills and assume role both as team members and as team leaders in an organization.

The MTECH PROGRAM has the following intended outcomes that are duly aligned with the Educational objectives listed above. These program outcomes are:

    • PO1: Domain Knowledge & Its Application: Apply knowledge of computing fundamentals, mathematics, and domain knowledge of computing specialisation for conceptualization of computing models from defined problems and  requirements.
    • PO2: Analytical Ability & Development of Solutions using Modern Computing Tools: Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities providing solutions to complex computing problems by designing or evaluating systems, components and processes.
    • PO3: Effective Communication : Effective Communication with the computing community/society about complex computing activities by writing effective reports, design documentation, effective presentations.
    • PO4: Project Management: Demonstrate knowledge and understanding of the computing and management principles and apply these to manage projects in multidisciplinary environments.
    • PO5: Professional Ethics and Value Based Leadership Abilities: Perform and lead professional functions in an ethical way, taking the cyber regulations & laws, responsibilities, and norms of professional computing practices into consideration.
    • PO6: Innovation and Entrepreneurship: Identify entrepreneurial opportunity and apply innovation to create value and wealth for the betterment of the individual and society at large.
  • To understand the mathematical fundamentals that are prerequisites for a variety of courses like Data mining, Network protocols, analysis of Web traffic, Computer security, Software engineering, Computer architecture, operating systems, distributed systems, Bioinformatics, Machine learning.
  • To study various sampling and classification problems.
  • The student should be able to choose appropriate data structures, understand the ADT/libraries, and use it to design algorithms for a specific problem.
  • Students should be able to come up with analysis of efficiency and proof of correctness.
  • To learn the concept of how to learn patterns and concepts from data without being explicitly programmed in various IOT nodes.
  • To explore Deep learning techniques and various feature extraction strategies.
  • Understanding of the fundamental concepts of wireless sensor networks and having a basic knowledge of the various protocols at various layers.
  • It will demonstrate an understanding of statistics and machine learning concepts that are vital for data science.
  • Understanding of the fundamental concepts of wireless sensor networks and having a basic knowledge of the various protocols at various layers.
  • Understanding of the fundamental concepts of wireless sensor networks and having a basic knowledge of the various protocols at various layers.

Candidates must have a Bachelor's degree in Engineering or Technology (B.E./B.Tech) in Computer Science and Engineering, Information Technology, or a closely related field from a recognized university or institution. Candidates to have a minimum aggregate percentage in their undergraduate degree. This percentage requirement may vary, but it is typically around 55% or equivalent.

Global Research Group of Institutions (GRGI) is a multi-institute campus which houses experts from various technical and professional fields

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