BTech in AI

BTech in Artificial Intelligence at Orchid College of Management & Technology

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.

Key Highlights

About the BTech in Artificial Intelligence Program

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.

Eligibility for Admission

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.

Course Structure

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 and Internship

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.

Teaching and Practical Learning at Orchid College

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 and Grading

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.

Skills Covered by the Curriculum

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.

Further Study Options

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.

Who May Consider This Program?

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.

Frequently Asked Questions

How long is BTech in Artificial Intelligence at Orchid College?

The program runs for four academic years and is divided into eight semesters.

Which university is the course affiliated with?

The course is affiliated with Purbanchal University under the Faculty of Science and Technology.

How many seats are available?

Orchid College of Management & Technology has 48 seats for the program.

Is a science background required?

Yes. Applicants must have completed twelve years of schooling in the science stream.

Is there an entrance examination?

Yes. Applicants must pass the entrance examination conducted by Purbanchal University.

Does the program include project work?

Yes. Project work begins in the second semester and continues through the remaining semesters.

Does the curriculum include an internship?

Yes. A three-credit internship with practical and fieldwork is included in the seventh semester.

What is the required attendance?

Students must maintain at least 80% attendance in lectures, tests, and tutorial classes to qualify for final examinations.