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School of Computer Science and Engineering (SCOPE)

At the Masters level, the school offers programs in Computer Science & Engineering, Computer Science & Engineering (Information Security) and Computer Science & Engineering with specialization in Big Data Analytics.

B.Tech Computer Science and Engineering is accredited by the Computing Accreditation Commission and Engineering Accreditation Commission of ABET, http://www.abet.org. The School offers research programmes such as M.Tech. (by research) and Ph.D. All engineering, M.Sc. programmes have been accredited by Institution of Engineering & Technology, UK (IET- formerly known as IEE, UK) during the year 2004-05.

M. Tech. Computer Science Engineering with specialization in Artificial Intelligence and Machine learning

The curricula of programmes have been designed to cater to the ever changing needs and demands of IT industry. The focus is on holistic learning and empowering students to make significant contributions at all levels. The cafeteria system of electives gives a handful of choices for students to develop expertise in their area of interest

B.Tech Computer Science and Engineering is accredited by the Computing Accreditation Commission and Engineering Accreditation Commission of ABET, http://www.abet.org.
The School offers research programmes such as M.Tech. (by research) and Ph.D. All engineering, M.Sc. programmes have been accredited by Institution of Engineering & Technology, UK (IET- formerly known as IEE, UK) during the year 2004-05.

M.Tech. Computer Science & Engg

  • To build a technological base in Computer Science and Engineering.
  • To analyze, design, develop and evaluate high-end computing systems.
  • To undertake challenging projects and carry out research activity.
  • To identify new trends and evaluate emerging technologies.
  • To work on specialised and specific domains with faculty in various research divisions.

Core Courses

  • As Developers and specialists in high-end services and IT-product companies.
  • As Development Engineers, Technical Leaders and Managers.
  • As Academicians and Researchers in India and abroad.
  • As Consultants, Solution Developers and Entrepreneurs.
  • As Computing Specialists in Research Labs and as Technology Providers

Advanced Algorithmic Analysis / Advanced Computer Architecture / Advanced Operating Systems / Advanced Computer Networks / Advanced Database Systems / Advanced Software Engineering / Advanced Computer Graphics / Web Services / Distributed Systems

M.Tech. Computer Science & Engg
CURRICULUM
M.Tech. Computer Science and Engineering
Academic Year 2016 to 2017 Version 1.00
 
UNIVERSITY CORE
      Old Cal        
Course Code Course Title Course Type L T P J C
CSE6099 Masters Thesis Project 0 0 0 0 16
MAT5002 Mathematics for Computer Engineering Theory 3 0 0 0 3
SET5001 Science, Engineering and Technology Project - I Project 0 0 0 0 2
SET5002 Science, Engineering and Technology Project - II Project 0 0 0 0 2
EFL5097 English and Foreign Language Basket 0 0 0 0 2
STS6777 Soft Skills Basket 0 0 0 0 2
               
PROGRAMME CORE
      Old CAL        
Course Code Course Title Course Type L T P J C
CSE5001 Algorithms: Design and Implementation Embedded - Theory & Lab 2 0 2 0 3
CSE5002 Operating Systems and Virtualization Embedded - Theory & Lab 2 0 2 0 3
CSE5003 Database Systems: Design and Implementation Embedded - Theory, Lab & Project 2 0 2 4 4
CSE5004 Computer Networks Embedded - Theory & Lab 2 0 2 0 3
CSE5005 Software Engineering and Modelling Theory 3 0 0 0 3
CSE5006 Multicore Architectures Embedded - Theory & Lab 2 0 2 0 3
               
PROGRAMME ELECTIVE (Credits to be earned: 18)
Course Code Course Title Course Type L T P J C
CSE6001 Bigdata Frameworks Embedded - Theory, Lab & Project 2 0 2 4 4
CSE6002 Information Security Foundations Embedded - Theory & Project 3 0 0 4 4
CSE6003 Web Services Embedded - Theory & Lab 2 0 2 0 3
CSE6005 Machine Learning Embedded - Theory, Lab & Project 2 0 2 4 4
CSE6006 NoSQL Databases Embedded - Theory, Lab & Project 2 0 2 4 4
CSE6008 Distributed Systems Embedded - Theory, Lab & Project 2 0 2 4 4
CSE6009 IoT Technology and Applications Embedded - Theory, Lab & Project 2 0 2 4 4
CSE6010 Cloud Application Development and Management Embedded - Theory, Lab & Project 2 0 2 4 4
CSE6012 Image Processing and Analysis Embedded - Theory & Project 3 0 0 4 4
CSE6013 Advanced Software Testing Embedded - Theory, Lab & Project 2 0 2 4 4
CSE6015 Mobile Application and Development Embedded - Theory & Project 2 0 0 4 3
CSE6053 Wireless Sensor Networks Embedded - Theory & Project 2 0 0 4 3
               

UNIVERSITY ELECTIVE

Course L T P C
University Elective-I - - - 3
University Elective-II - - - 3
Total - - - 6
         
BREAKUP OF COURSES
Sl.No. Category Credits
1 University Core 27
2 University Elective 6
3 Programme Core 19
4 Programme Elective 18
Recommended Total Number of Credits   70
Minimum Total Number of Credits (As per Acad. Council)   70
     
COURSE-WISE BREAKUP OF CREDITS
Category No. of Credits Credit distribution Recommended
    (%) (%)
Engineering     64
Humanities     8
Management     8
Sciences     20
Sub Total      
University Elective      
Co/Extra-Curricular Activity      
Total     100

M. Tech. Computer Science & Engineering (Information Security)

  • To develop professionals required to meet the needs of the industry in exploiting Security Infrastructure.
  • To promote an academic career for further research in Security Domain for effective utilization of system Resources.
  • To develop the spirit of entrepreneurship in providing secured services.
  • To provide the necessary skills for design, develop and deployment services related to Security Paradigm.
  • More scope of employment since industries are focussing on Security Computing Environment for increasing their profit through effective resource optimization.
  • Placement as Information Security Evangelist, Security Engineer, Infrastructural Security Architect, Security
  • Alliance Manager, Security Modeler and Developer, Security Product Manager, Scientist, R & D specialist in Security arena etc.
Core Courses

Advanced Algorithmic Analysis / Advanced Computer Architecture / Advanced Operating Systems / Database Systems / Advanced Computer Security / Web Services / Distributed Systems / Advanced Computer Networks / Software Engineering / Models and Architecture of Security Systems/ Cloud Security/ Data Security and Storage Technologies / Information Security Computational Models/ Design and Development of Information Security System / Network Security & Governance.

M. Tech. Computer Science & Engineering (Information Security)
CURRICULUM
M.Tech. Computer Science with Specialization in Information Security
Academic Year 2016 to 2017  -  Version 1.00
UNIVERSITY CORE
Course Code Course Title Course Type L T P J C
CSE6099 Masters Thesis Project 0 0 0 0 16
MAT5002 Mathematics for Computer Engineering Theory 3 0 0 0 3
SET5001 Science, Engineering and Technology Project - I Project 0 0 0 0 2
SET5002 Science, Engineering and Technology Project - II Project 0 0 0 0 2
EFL5097 English and Foreign Language Basket 0 0 0 0 2
STS6777 Soft Skills Basket 0 0 0 0 2
PROGRAMME CORE
Course Code Course Title Course Type L T P J C
CIS5001 Cryptosystems Embedded - Theory & Lab 2 0 2 0 3
CSE5001 Algorithms: Design and Implementation Embedded - Theory & Lab 2 0 2 0 3
CSE5002 Operating Systems and Virtualization Embedded - Theory & Lab 2 0 2 0 3
CSE5003 Database Systems: Design and Implementation Embedded - Theory, Lab & Project 2 0 2 4 4
CSE5004 Computer Networks Embedded - Theory & Lab 2 0 2 0 3
CSE6002 Information Security Foundations Embedded - Theory & Project 3 0 0 4 4
PROGRAMME ELECTIVE (Credits to be earned: 17)
Course Code Course Title Course Type L T P J C
CIS6001 Cyber Attacks Detection and Prevention Systems Embedded - Theory, Lab & Project 2 0 2 4 4
CIS6002 Malware Analysis Embedded - Theory, Lab & Project 2 0 2 4 4
CIS6003 Penetration Testing and Vulnerability Assessment Embedded - Theory, Lab & Project 2 0 2 4 4
CIS6004 Wireless and Mobile Network Security Embedded - Theory & Project 2 0 0 4 3
CIS6005 Multimedia Security Embedded - Theory & Project 2 0 0 4 3
CIS6006 Cloud Security and Analytics Embedded - Theory & Project 2 0 0 4 3
CIS6007 Secure Software Systems Embedded - Theory & Project 2 0 0 4 3
CIS6008 Digital Forensics Embedded - Theory, Lab & Project 2 0 2 4 4
CIS6009 Trusted Network Systems Embedded - Theory & Project 2 0 0 4 3
CIS6010 Critical Infrastructure Protection Embedded - Theory & Project 2 0 0 4 3
CIS6011 Risk Detection, Management and Mitigation Embedded - Theory & Project 2 0 0 4 3
CIS6012 Computer Security Audit and Assurance Embedded - Theory & Project 2 0 0 4 3
CIS6013 Web Application Security Embedded - Theory, Lab & Project 2 0 2 4 4
UNIVERSITY ELECTIVE
Course L T P C
University Elective-I - - - 3
University Elective-II - - - 3
Total - - - 6
BREAKUP OF COURSES
Sl.No. Category Credits
1 University Core 27
2 University Elective 6
3 Programme Core 20
4 Programme Elective 17
Recommended Total Number of Credits   70
Minimum Total Number of Credits (As per Acad. Council)   70
COURSE-WISE BREAKUP OF CREDITS
Category No. of Credits Credit distribution Recommended
    (%) (%)
Engineering     64
Humanities     8
Management     8
Sciences     20
Sub Total      
University Elective      
Co/Extra-Curricular Activity      
Total     100

M. Tech. Computer Science & Engineering with specialization in Big Data Analytics

  • To develop professionals required to meet the needs of the industry in processing voluminous data.
  • To promote an academic career for further research in theoretical as well as applied aspects of Big Data Analytics in providing an innovative, cost-effective processing of information for enhanced insight & decision making.
  • To develop the spirit of entrepreneurship in providing solutions in this emerging domain
  • To generate professionals who are good in core competency skills of Computer Science & Engineering as well as Big Data Analytics.
  • More scope of employment since industries are focussing on Big Data Analytics for increasing their profit and their business enhancement using cost effective solutions.
  • Placement as Business Analyst, Data Analyst, Data Architect, Data Engineer, Analytics Manager, Business Intelligence Director, Data Scientist, R & D specialist in Big Data Analytics etc.
Core Courses

Advanced Algorithmic Analysis / Advanced Computer Architecture / Advanced Operating Systems / Advanced Database Systems / Advanced Computer Graphics / Web Services / Distributed Systems / Advanced Computer Networks / Advanced Software Engineering / Information Retrieval & Data Mining / Big Data Essentials / Machine Learning / Big Data Analytics / Data Visualization / Large-Scale Data Management Techniques.

M. Tech. Computer Science & Engineering with specialization in Big Data Analytics
CURRICULUM
M.Tech. Computer Science and Engineering with Specialisation in Big Data Analytics
Academic Year 2016 to 2017  -  Version 1.00
UNIVERSITY CORE
      Old CAL        
Course Code Course Title Course Type L T P J C
CSE6099 Masters Thesis Project 0 0 0 0 16
MAT6001 Advanced Statistical Methods Embedded - Theory & practical 2 0 2 0 3
SET5001 Science, Engineering and Technology Project - I Project 0 0 0 0 2
SET5002 Science, Engineering and Technology Project - II Project 0 0 0 0 2
EFL5097 English and Foreign Language Basket 0 0 0 0 2
STS6777 Soft Skills Basket 0 0 0 0 2
PROGRAMME CORE
Course Code Course Title Course Type L T P J C
CSE5001 Algorithms: Design and Implementation Embedded - Theory & Lab 2 0 2 0 3
CSE5003 Database Systems: Design and Implementation Embedded - Theory, Lab & Project 2 0 2 4 4
CSE5007 Exploratory Data Analysis Embedded - Theory & Project 2 0 0 4 3
CSE6001 Bigdata Frameworks Embedded - Theory, Lab & Project 2 0 2 4 4
CSE6005 Machine Learning Embedded - Theory, Lab & Project 2 0 2 4 4
PROGRAMME ELECTIVE (Credits to be earned: 19)
Course Code Course Title Course Type L T P J C
CSE5002 Operating Systems and Virtualization Embedded - Theory & Lab 2 0 2 0 3
CSE6006 NoSQL Databases Embedded - Theory, Lab & Project 2 0 2 4 4
CSE6014 Programming for Data Science Lab 0 0 4 0 2
CSE6016 Information Visualization Embedded - Theory, Lab & Project 2 0 2 4 4
CSE6017 Mining Massive Data Embedded - Theory, Lab & Project 2 0 2 4 4
CSE6018 Streaming Data Analytics Embedded - Theory, Lab & Project 2 0 2 4 4
CSE6019 Text, Web and Social Media Analytic Embedded - Theory & Project 3 0 0 4 4
CSE6020 Big Data Technologies Embedded - Theory, Lab & Project 2 0 2 4 4
CSE6021 Domain Specific Predictive Analytics Embedded - Theory & Project 3 0 0 4 4
CSE6022 Soft Computing Embedded - Theory & Project 3 0 0 4 4
CSE6023 Cloud Computing Fundamentals Embedded - Theory, Lab & Project 2 0 2 4 4
CSE6025 Analytics of Things Embedded - Theory & Project 3 0 0 4 4
UNIVERSITY ELECTIVE
Course L T P C
University Elective-I - - - 3
University Elective-II - - - 3
Total - - - 6
BREAKUP OF COURSES
Sl.No. Category Credits
1 University Core 27
2 University Elective 6
3 Programme Core 18
4 Programme Elective 19
Recommended Total Number of Credits   70
Minimum Total Number of Credits (As per Acad. Council)   70
COURSE-WISE BREAKUP OF CREDITS
Category No. of Credits Credit distribution Recommended
    (%) (%)
Engineering     64
Humanities     8
Management     8
Sciences     20
Sub Total      
University Elective      
Co/Extra-Curricular Activity      
Total     100