RIMT UNIVERSITY TO UNDERTAKE A PROJECT “DESINNO - DESIGN AND CAPACITY BUILDING IN INDIA” | INNSPIRE-2019 by School of Hospitality Management | workshop on kinesiological taping | Lohri celebration in RIMT University | 148 COMPANIES VISITED RIMT UNIVERSITY FOR PLACEMENT IN 2018 | Ph.D/M.Phil July 2018 Batch, Successfully Completed One Semester Coursework | National Workshop on Data Analysis thorough SPSS | TECHNOPHILIA - TECHFEST 2018 | RIMT UNIVERSITY HOLDS 2ND NATIONAL CONFERENCE ON “ADVANCES IN MULTIDISCIPLINARY RESEARCH 2018” | One Week Workshop on IoT | Electrical Engineering student design Unmanned Aircraft | World Tourism Day 2018 | UPCOMING NATIONAL CONFERENCE ON RECENT ADVANCES IN MULTIDISCIPLINARY RESEARCH on 2nd NOVEMBER 2018 | Research on one of the most important battle of the world “Battle of Saragarhi” | Ph.D /M.Phil programme for session 2018 | VC RIMT University Dr AS Chawla won Best Paper Award |

M.Tech - Computer Science & Engineering

M. Tech - Computer Science & Engineering is a postgraduate programme. This course is designed to equip with the knowledge and skills to develop innovative solutions which the modern computing industry requires. The focus is on understanding and making the right choice of abstractions thus making it possible to implement IT solutions from existing and future components. The programme covers areas such as safe and secure systems, system integration, distributed and embedded systems, networks, software engineering, algorithms and logic, system-on-chip and digital systems. After passing the Master Degree, candidates have many career options in different fields.

Eligibility and admission

Bachelor’s degree or equivalent in the relevant field.

Obtained at least 50% marks (45% in case of reserved category)

Curriculum highlights

    Semester I

    • Advanced Data Structures and Algorithm
    • Research Methodologies
    • Soft Computing

    • Departmental Elective

    • Agile Software Development
    • Software Testing & Validations
    • Software Engineering Concepts
     

    Semester II

    • Advanced Databases
    • Advanced Computer Network

    • Departmental Elective

    • Web Mining
    • Data Warehousing and Data Mining
    • Enterprise Resource Planning
    • Web Technology
     

    Semester III

    • Semantic Web and Social Network
    • Natural Language Processing
    • Big Data & Cloud Computing
    • Digital Image Processing
     

    Semester IV

    • Final Thesis

The programme provides a balanced mixture of theoretical and professional training in Computer Science and Information Technology.

Students can also go for further study and research in the fundamental and applied aspects of Computer Science and Information Technology and related disciplines. Typical job profiles are IT Consultants, Software Programmers, IT analysts, Software Designers, Product Development - Analysts or Architects, Technical Analysts, Web Application Developers, Database Administrator s, Professors and Network Administrators.

Program Fee (Per Semester) Amount
Semester Fee 37775
Scholarship Category A 15110
Scholarship Category B 22665
Scholarship Category C 30220
 

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