S I I C S

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SIICS Course

Course Objectives

The objective of the Program is to produce trained software professionals with hands-on experience on state-of-the art technologies who will be able to handle challenges in IT industry.
The objectives of M.Sc. (Computer Applications) program are:

To produce knowledgeable and skilled human resources that is employable in IT and ITES.

To impart knowledge required for planning, designing and building Complex Application Software Systems as well as to provide support for automated systems or applications.

M.Sc. (Computer Applications) Program is of Two Years duration with four semesters. It is a Full- Time post graduate Degree Program. The program is based on credit system comprising of total 88 credit points. It is believed that the proposed syllabus as part of the credit-based system will bring a qualitative change in the way M.Sc. (Computer Applications) is taught, which will offer a more enriched learning experience. It aims to provide students with the knowledge and ability to develop creative solutions, and better understand the effects of future developments of computer applications, systems and technology on people and society. The students shall develop self and life-long learning skills.

Career Growth Pathway

Bachelor of Science in Computer Science

Job Opportunities

Use B.Sc. CS - Bachelor of Science in Computer Science

Course

Eligibility

B.Sc. (Computer Application) Any candidate who has passed the XII standard

  • Bachelor Degree in Science / Technology / Engineering OR
  • Bachelor of Computer Applications (B.C.A.) OR
  • B.Sc.(Computer Science) OR
  • Bachelor of Computer Science (B.C.S.) OR
  • B.Sc.(Information Technology) OR
  • B.Sc.(Data Science) OR
  • B.Sc.(Cyber and Digital Science) OR
  • B.Sc. (Cyber Security) OR
  • B.Sc. (Cloud Computing) OR
  • Bachelor of Engineering(BE/B.Tech) in Computer Engg/Computer Science & Engg./ Computer Science and Design/ Information Technology/Electronics and Telecommunication/AI and Data Science/AI and Machine Learning/ equivalent OR
  • B. Voc. in Software Development/ Information Technology OR
  • B.Sc. with Computer Science as Principal Subject OR
  • General B.Sc. with Computer Science as one of the subject at TYBSc level Programme

Syllabus

First Year SIICS Course Syllabus

Course Type Course Code Course Title
MC CA 501 MJ Database Systems and SQL
CA 502 MJ Python Programming and Data Structures
CA 503 MJ Operating Systems
CA 504 MJP Lab course Based on CA 501 MJ & CA 503 MJ
CA 505 MJP Lab course based on CA 502 MJ
CA 505 MJP Lab course based on CA 502 MJ
ME CA 510A MJ Java Programming
CA 511A MJP Lab Course based on CA 510A
OR
CA 512B MJ Cloud Computing
RM CA 513B MJP L Lab Course based on CA 512B
CA 531 RM Research Methodology
Course Type Course Code Course Title
MC CA 551 MJ Web Technologies
CA 552 MJ Introduction to Data Science
CA 553 MJ Computer Networks
CA 554 MJP Lab course based on CA 551
CA 555 MJP Lab course based on CA 552
ME CA 560A MJ Advance Java Programming
CA 561A MJP Lab Course on based on CA 560A MJ
OR
CA 562B MJ C# .NET
OJT/FP CA 563B MJP Lab Course on based on CA 562B
CA 581 OJT/FP Industry Internship/Field Project
Course Type Course Code Course Title
MC CA 601 MJ Artificial Intelligence
CA 602 MJ Machine Learning
CA 603 MJ Software Engineering
CA 604 MJP Lab Course based on CA 601 MJ
CA 605 MJP Lab Course based on CA 602 MJ
ME CA 610A MJ Mobile Application Development
CA 611A MJP Lab Course based on CA 610A MJ
OR
CA 612B MJ Software Testing
CA 613B MJP Lab Course based on CA 612B MJ
RP CA 631 RP Research work – I
Course Type Course Code Course Title
MC CA 651 MJP Industrial Training#
ME CA 660A MJ Management Information System
OR
CA 661A MJ Digital Marketing
CA 662B MJ ERP
OR
CA 663B MJ Information Security
RP CA 681 RP Research Work – II
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Career Growth Pathway

 

M.Sc. Data Science, M.Sc. Computer Application, M.Sc. Computer Science, MBA in Data Analytics, M.Sc. Cyber Security

Job Opportunities

 
  • Data Analyst,
  • Data Scientist
  • Data Engineer
  • Business Analyst
  • Software Engineer
  • Cloud Data Specialist
  • Healthcare Data Analyst
  • Financial Data Scientist
  • Retail/Data Marketing Analyst
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