M.Sc. (Computer Science)

M.Sc. (Computer Science)

Duration : 2 years
Eligibility : A Bachelor degree in Computer Science, Computer Applications, Electronics, Computer Technology and Information Technology with 50% Aggregate.

CAREER PROSPECTS

Students who complete the MSc (Computer Science) degree will have access to a wide variety of career opportunities in Business and Industrial organizations, as well as in Research and Academic Institutions. STC’s MSc (Computer Science) programme-curriculum and the courses syllabi include a well balanced mix of topics dealing with the fundamentals and advances, as well as the state-of-the-art. The nuanced integration of theory and practice is another hallmark of the programme, which has been conceived and designed using the knowledge inputs of the finest professionals from industry and academic experts.

The teaching-learning systems used in the programme include classroom lectures, laboratory practical’s, self-study, peer learning, project-based learning, an internship-based learning experience, and even exposure to guest lectures by highly accomplished persons. The entire learning experience for students in this PG programme has been designed to transform them into top class entry-level talent in all the work contexts mentioned above, and young persons with admirable professional and personal qualities.

COURSE CONTENT

  • Advanced Software Engineering
  • Advanced Java Programming
  • Design and Analysis of Algorithms
  • Distributed Operating Systems
  • Advanced Java Programming Lab
  • Advanced multimedia lab
  • Information Security & Cyber Law
  • Web Technology
  • Data Communications and Networking
  • RDBMS With Structured Programming
  • Advanced English for Competitive Examination*
  • Software Testing
  • Data Mining and Warehousing
  • Software Testing & Quality Assurance Lab
  • Data Mining Lab
  • Internship
  • Quantitative Aptitude & Verbal Reasoning*
  • Open Source Technologies
  • Open Source Lab
  • Professional Ethics
  • Project Work

Elective I

  • Mobile Computing
  • Embedded Systems
  • Management Information Systems

Elective II

  • Service Oriented Architecture
  • Big Data Analytics
  • AI and Expert Systems

Elective III

  • Digital Image Processing
  • Internet of Things
  • Software Project Management 

Elective IV

  • Cloud Computing
  • Grid Computing
  • Parallel Processing

Elective V

  • Pattern Recognition
  • Soft Computing
  • Robotics

 

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