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Bachelor of Science in Computer Science and Information Technology

B.Sc.CSIT

Overview:

The Bachelor of Science in Computer Science and Information Technology at Rajarshi Janak University offers a comprehensive curriculum designed to equip students with fundamental knowledge and practical skills in the ever-evolving field of computing. This program prepares graduates for a diverse range of careers in technology, from software development to data analysis, and provides a solid foundation for advanced studies in computer science.

Program Highlights:

  • Innovative Curriculum: Our program covers essential topics including programming, database management, network systems, and cybersecurity. Courses are designed to provide both theoretical knowledge and hands-on experience.
  • State-of-the-Art Facilities: Students benefit from access to modern laboratories and technology resources, enhancing their learning and practical skills.
  • Experienced Faculty: Learn from a team of skilled professionals and academics with extensive industry experience and academic expertise.
  • Career Opportunities: Graduates are well-prepared for roles in software development, IT consultancy, system analysis, and more, with many opportunities for internships and industry connections.

Program Highlights:

  • Latest Curriculum: The BSc CSIT program at RJU is crafted to provide a comprehensive understanding of computer science and information technology. From programming languages to system analysis, students delve into the latest advancements in the field.

  • Practical Learning: Gain hands-on experience through state-of-the-art laboratories and real-world projects. Our emphasis on practical application ensures that you are well-prepared to tackle the challenges of the ever-evolving technology landscape.

  • Industry-Relevant Skills: Stay ahead in the technology sector by acquiring skills aligned with industry demands. The program focuses on areas such as software development, database management, networking, and cybersecurity.

  • Expert Faculty: Learn from experienced faculty members who bring a blend of academic expertise and industry insights to the classroom. Our faculty is dedicated to nurturing the next generation of tech leaders.

Semester I
Course Code Course Title Credit Hours Internal Marks External Marks Total Marks
CSMT 101 Mathematics-I 3 40 60 100
CSPH 102 Physics 3 40 60 100
CSEN 103 Technical Communication English 3 40 60 100
CSIT 104 Computer Concept and Programming 3 40 60 100
CSIT 105 Digital Logic 3 40 60 100

 

Semester II
Course Code Course Title Credit Hours Internal Marks External Marks Total Marks
CSMT201 Mathematics-II 3 40 60 100
CSIT 202 Object Oriented Programming in C++ 3 40 60 100
CSIT 203 Discrete Structure 3 40 60 100
CSST 204 Statistics-I 3 40 60 100
CSIT 205 Microprocessor and Microcontroller 3 40 60 100

 

 

Semester III
Course Code Course Title Credit Hours Internal Marks External Marks Total Marks
CSIT 301 Computer Organization and Architecture 3 40 60 100
CSIT 302 Data Structures and Algorithms 3 40 60 100
CSIT 303 Numerical Methods 3 40 60 100
CSST 304 Statistics-II 3 40 60 100
CSIT 305 Database Management Systems 3 40 60 100

 

 

Semester IV
Course Code Course Title Credit Hours Internal Marks External Marks Total Marks
CSIT 401 Computer Graphics 3 40 60 100
CSIT 402 Operating Systems 3 40 60 100
CSIT 403 System Analysis and Design 3 40 60 100
CSIT 404 Java Programming 3 40 60 100
CSIT 405 Web Technology 3 40 60 100

 

 

Semester V
Course Code Course Title Credit Hours Internal Marks External Marks Total Marks
CSIT 501 Programming in Python 3 40 60 100
CSIT 502 Theory of Computation 3 40 60 100
CSIT 503 Computer Network 3 40 60 100
CSIT 504 Analysis and Design of Algorithm 3 40 60 100
Elective-I Elective-I 3 40 60 100
CSIT 510 Project-I 3 80 20 100
List of Electives (Semester V)
CSIT 505 Image Processing
CSIT 506 Data Analytics and Visualization
CSIT 507 Multimedia System
CSIT 508 Operations Research
CSIT 509 E-Commerce

 

 

Semester VI
Course Code Course Title Credit Hours Internal Marks External Marks Total Marks
CSIT 601 Software Engineering 3 40 60 100
CSIT 602 Cryptography and Network Security 3 40 60 100
CSIT 603 Artificial Intelligence 3 40 60 100
CSIT 604 Simulation and Modelling 3 40 60 100
CSIT 605 Research Methodology 3 40 60 100
Elective-II Elective-II 3 40 60 100
List of Electives (Semester VI)
CSIT 606 Mobile Application Development
CSIT 607 Wireless Communication and Networking
CSIT 608 Unix Shell Programming
CSIT 609 E-Governance
CSIT 610 .Net Technology

 

 

Semester VII
Course Code Course Title Credit Hours Internal Marks External Marks Total Marks
CSIT 701 Compiler Design and Construction 3 40 60 100
CSIT 702 Distributed and Cloud Computing 3 40 60 100
CSIT 703 Data Warehousing and Data Mining 3 40 60 100
CSIT 704 Machine Learning 3 40 60 100
Elective-III Elective-III 3 40 60 100
CSIT 711 Project-II 6 160 40 200
CNCE 712 Constitution of Nepal and Eastern Philosophy* Non-Credit - 100 100
*Non-Credit But Compulsory
List of Electives (Semester VII)
CSIT 706 Software Project Management
CSIT 707 Software Architecture and Design Pattern
CSIT 708 Management Information System
CSIT 709 Neural Network
CSIT 710 Embedded System

 

 

Semester VIII
Course Code Course Title Credit Hours Internal Marks External Marks Total Marks
CSIT 801 Professional and Social Ethics in IT 3 40 60 100
CSIT 802 Management and Entrepreneurship in IT Industry 3 40 60 100
Elective-IV Elective-IV 3 40 60 100
CSIT 808 Internship 6 120 80 200
CSIT 809 Research Seminar 2 50 - 50
List of Electives (Semester VIII)
CSIT 803 Internet of Things (IoT)
CSIT 804 Natural Language Processing
CSIT 805 Software Quality Assurance
CSIT 806 Geographical Information System
CSIT 807 Introduction to Quantum Computing

 

NOTE: For Elective Subjects, from the enrolled students, minimum 50% students should be interested and subject can be applied to the facility available in the campus.

Note:

  • 3 credit hours courses with theory and labs is equivalent to 3 lecture hours and 3 lab hours = 6 working hours per week.
  • 3 credit hours theory-only course is equivalent 3 lecture hours and 2 tutorial hours = 5 working hours per week.

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