2 Years
Post Graduate
Computer Science and IT
The Master of Science (M.Sc.) Computer Science syllabus at KLE Technological University, Hubballi is designed to provide overall knowledge to the students with a strong foundation. Master of Science (M.Sc.) Computer Science faculty at KLE Technological University specially focus on in-depth learning to relevant subjects. At first semester syllabus of Master of Science (M.Sc.) Computer Science at KLE Technological University, students learn the basics of programme. A strong foundation is very important for comprehensive learning. Master of Science (M.Sc.) Computer Science syllabus at KLE Technological University, Hubballi maintains a balance between theoretical knowledge and practical knowledge.
Master of Science (M.Sc.) Computer Science first year students at KLE Technological University are introduced with core subjects. Then they are encouraged to explore other area for a broader perspective. KLE Technological University, Hubballi also provides practical training sessions, workshops, projects, and case studies to enhance student skills. Master of Science (M.Sc.) Computer Science syllabus at KLE Technological University, Hubballi is also frequently updated to give industry relevant training and knowledge to students. KLE Technological University strives to provide a nurturing environment where students can learn new skills. The hands-on training sessions at KLE Technological University enable Master of Science (M.Sc.) Computer Science students to apply knowledge and skills in a controlled environment and get required experience.
According to syllabus of Master of Science (M.Sc.) Computer Science progress, students learn advanced topics and complex concepts. The Master of Science (M.Sc.) Computer Science curriculum at KLE Technological University, Hubballi mainly focuses on analytical and critical thinking. As the Master of Science (M.Sc.) Computer Science course unfolds, students develop several important skills that increases their employability. As per syllabus of Master of Science (M.Sc.) Computer Science at KLE Technological University also includes real-life projects and internship programs. It helps students critical thinking and gives them real-world experience.
Master of Science (M.Sc.) Computer Science curriculum at KLE Technological University includes group discussions, guest lectures, case studies, and skill development workshops to enhance the learning experience. The Master of Science (M.Sc.) Computer Science syllabus at KLE Technological University aims to create well-rounded professionals equipped with the necessary skills and knowledge to succeed in their chosen fields.
Additional curriculum at KLE Technological University
Note: Given below syllabus is based on the available web sources. Please verify with the KLE Technological University, Hubballi for latest Master of Science (M.Sc.) Computer Science curriculum.
The Master of Computer Applications (MCA) program is a postgraduate course that focuses on advanced studies in computer science and its various applications. The MCA syllabus is designed to provide students with a strong foundation in computer science, programming, software development, and related areas. It typically spans three academic years and consists of a combination of theoretical coursework, practical assignments, and project work. Here's a breakdown of the key components of the MCA syllabus and the study parts involved.
1st Year OR 1st & 2nd Semester Syllabus of M.Sc. Computer Science
| S.no | Subjects |
| 1 | System Analysis and Design |
| 2 | Computer Fundamentals and
Programming in C |
| 3 | C++ Programming Lab |
| 4 | Database Management System |
| 5 | Advanced Operating Systems |
| 6 | Computer Organization
and Architecture |
| 7 | Principles of Programming Languages |
| 8 | Seminar |
2nd Year OR 3rd & 4th Semester Syllabus of MBA (Sales)
| S.No | Subjects |
| 1 | Java Programming |
| 2 | Software Engineering |
| 3 | Web Technology |
| 4 | Theoretical Computer Science |
| 5 | Artificial Intelligence |
| 6 | Compiler Designing |
| 7 | Soft Computing |
| 8 | Training and Seminar |
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