The Bachelor of Technology in Artificial Intelligence at Orchid College of Management & Technology is a four-year undergraduate program offered in Gaushala, Kathmandu. The course is affiliated with Purbanchal University under the Faculty of Science and Technology.
The curriculum combines programming, mathematics, computer systems, data science, machine learning, image processing, language processing, cloud computing, embedded systems, and applied project work. Students begin project courses in the second semester and continue practical application through the remaining semesters. The final year includes an internship, reinforcement learning, cloud computing, elective subjects, and a professional project. Orchid College has 48 seats for the program.
| Field | Details |
|---|---|
| Course Name | Bachelor of Technology in Artificial Intelligence |
| College | Orchid College of Management & Technology |
| Location | Gaushala, Kathmandu |
| Affiliation | Purbanchal University |
| Faculty | Faculty of Science and Technology |
| Duration | Four academic years |
| Academic Structure | Eight semesters |
| Seats | 48 |
| Medium | English |
| Entrance | Purbanchal University entrance examination |
| Attendance | At least 80% |
| Practical Components | Laboratories, semester projects, internship, and professional project |
BTech in Artificial Intelligence is structured around computing fundamentals before moving into specialised subjects. The opening semesters cover programming, digital logic, calculus, probability, statistics, linear algebra, computer organisation, operating systems, databases, networks, and algorithms.
Later study focuses on machine learning, optimisation, data science, pattern recognition, image processing, data mining, embedded systems, speech and natural language processing, reinforcement learning, cloud computing, and connected-device applications.
Technical Report Writing and Presentation, Society and Professional Ethics, Research Methods, internship work, and project courses add communication, research, ethical, and organisational dimensions to the program.
Applicants must have completed twelve years of schooling in the science stream.
They must meet either of the following academic requirements:
A minimum D+ grade in every 10+2 subject with a CGPA of at least 2.0
At least second division, equivalent to 45% marks, in 10+2, PCL, or an equivalent science qualification
Applicants with foreign academic certificates must submit the required equivalence certificate and subject-wise grading or percentage documents. Admission also requires passing the entrance examination conducted by Purbanchal University.
Students awaiting Grade 12 results may appear in the entrance examination, but they must submit the required academic documents during admission.
| Semester | Main Subjects | Credits |
|---|---|---|
| First | Introduction to Programming, Digital Logic, Calculus, Introduction to Artificial Intelligence, Technical Report Writing and Presentation, Society and Professional Ethics | 18 |
| Second | Object Oriented Programming, Artificial Intelligence and Intelligent Systems, Microprocessor and Assembly Language, Probability and Statistics, Linear Algebra, Project I | 17 |
| Third | Database Management System, Data Structure and Algorithm, Computer Organization, Operating System, Differential Equations, Project II | 17 |
| Fourth | Numerical Methods, Computer Networks, Design and Analysis of Algorithms, Programming for AI, Introduction to Data Science, Project III | 17 |
| Fifth | Machine Learning, Optimization Techniques, Embedded Systems, Pattern Recognition and Image Processing, Data Warehousing and Mining, Project IV | 17 |
| Sixth | Object Oriented Software Engineering, Computer Vision, Deep Learning, Speech and Natural Language Processing, Research Methods, Project V | 17 |
| Seventh | Internship, Reinforcement Learning, Cloud Computing, Project VI | 11 |
| Eighth | IoT for Smart City, Elective I, Elective II, Professional Project | 12 |
The elective groups cover specialised topics in image and video processing, surveillance video analytics, biometric recognition, statistical learning, optimisation, Bayesian data analysis, connected-device development, modelling and simulation, big-data analytics, data visualisation, business intelligence, and social media analytics.
Project work begins in the second semester and continues throughout the remaining semesters. Students apply concepts from programming, algorithms, databases, data science, machine learning, software engineering, and other subjects to planned technical assignments.
Projects may be completed by groups of up to three students under the guidance of an academic adviser. The work involves setting objectives, planning, research, development, assessment, report writing, and presentation.
The seventh semester includes a three-credit internship involving practical and fieldwork. The eighth semester concludes with a professional project.
The program combines lectures and tutorials with laboratory sessions, written assignments, presentations, evaluations, and course-related projects. The computer laboratory supports programming, database work, software development, and project preparation.
A digital electronics laboratory supports practical work connected with digital logic, electronics, microprocessors, embedded systems, and hardware-related subjects. Academic support also includes project supervision, practical instruction, research guidance, presentation review, workshops, and seminars.
These facilities are relevant from the opening programming and digital-logic courses through the internship and professional project completed in the final year.
Assessment is continuous across the semester and may include class participation, tutorial work, assignments, laboratory tasks, tests, and quizzes.
The mark distribution depends on the course type:
Courses with theory and practical components: 20% internal assessment, 20% practical assessment, and 60% final examination
Theory-only courses: 20% internal assessment and 80% final examination
Laboratory-only courses: 60% continuous internal evaluation and 40% final viva
Students receive letter grades from A+ to F, with “I” used for an incomplete course requirement. They must maintain a cumulative grade point average of at least 2.0 throughout the program.
Students have opportunities to practise:
Programming and object-oriented development
Data structure and algorithm design
Database and operating-system work
Computer networking
Data preparation and analysis
Machine learning model development
Pattern and image analysis
Speech and language processing
Embedded and connected-device development
Software engineering and technical documentation
Research, teamwork, presentation, and project planning
Progress in these areas depends on regular laboratory practice, project participation, independent study, and the standard of work completed across the eight semesters.
After completing the program, graduates can consider postgraduate study in areas such as:
Master of Technology in Artificial Intelligence
Master of Science in Artificial Intelligence
Master of Computer Application
Master of Information Technology
Master of Science in Computer Science
Master of Science in Computer Information Systems
Master of Business Administration
The appropriate postgraduate route will depend on admission requirements, academic interests, and the graduate’s intended area of study.
The program may suit science-stream students who are comfortable with mathematics and interested in programming, computer systems, data analysis, and applied artificial intelligence.
Students should be prepared for regular tutorials, laboratory exercises, semester projects, reports, presentations, an internship, and a professional project. The course requires steady participation across four years rather than depending only on end-semester examinations.
The program runs for four academic years and is divided into eight semesters.
The course is affiliated with Purbanchal University under the Faculty of Science and Technology.
Orchid College of Management & Technology has 48 seats for the program.
Yes. Applicants must have completed twelve years of schooling in the science stream.
Yes. Applicants must pass the entrance examination conducted by Purbanchal University.
Yes. Project work begins in the second semester and continues through the remaining semesters.
Yes. A three-credit internship with practical and fieldwork is included in the seventh semester.
Students must maintain at least 80% attendance in lectures, tests, and tutorial classes to qualify for final examinations.
