B.Tech in Artificial Intelligence

B.Tech in Artificial Intelligence at Aryan School of Engineering and Management

The Bachelor of Technology in Artificial Intelligence (B.Tech in AI) at Aryan School of Engineering and Management is a four-year undergraduate program affiliated with Purbanchal University. Offered in Mid Baneshwor, Kathmandu, the course is organized across eight semesters and uses English for instruction and examinations.

The curriculum begins with programming, digital logic, mathematics, artificial intelligence, technical communication, and professional ethics. It then progresses through databases, networks, data science, machine learning, image processing, speech and language processing, reinforcement learning, cloud computing, electives, an internship, and a professional project. Semester projects begin in the second semester and continue through the remaining study period.

Quick Highlights

Course Overview

The B.Tech in Artificial Intelligence combines computing, mathematics, statistics, software development, computer systems, and specialized artificial intelligence subjects. The early semesters establish a base in programming, digital logic, calculus, probability, linear algebra, data structures, databases, operating systems, and computer networks.

The later semesters cover machine learning, pattern recognition, image processing, data warehousing, computer vision, deep learning, speech and natural language processing, reinforcement learning, cloud computing, and IoT for Smart City. Research methods, electives, projects, and an internship are also included in the academic structure.

Eligibility for Admission

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

They must meet one of the following academic requirements:

• A minimum D+ grade in every subject of 10+2 with a CGPA of 2.0 or above

• A minimum second division, equivalent to 45 percent, in 10+2, PCL, or an equivalent qualification in the science discipline

Students awaiting a Grade 12 supplementary examination may apply. Students who have appeared in the final examination and are waiting for results or certificates may also apply for the entrance examination. All required academic documents must be submitted at the time of admission.

Applicants holding foreign academic certificates must submit an equivalence certificate and documents showing subject-wise grades, CGPA, or total percentage from the concerned authority.

Entrance Examination

Passing the entrance examination conducted by Purbanchal University is mandatory for admission to the B.Tech in Artificial Intelligence program.

Duration and Medium of Study

The program extends over four academic years and is divided into eight semesters. English is the medium of instruction and examination for all subjects.

Semester-Wise Curriculum

Year I

The first year introduces programming, computer hardware foundations, mathematics, communication, ethics, and the basic principles of artificial intelligence. Project work begins in the second semester.

Year II

The second year develops knowledge of software structures, databases, operating systems, networks, numerical methods, algorithm design, data science, and programming tools used in artificial intelligence studies.

Year III

The third year concentrates on artificial intelligence methods, data processing, embedded systems, software engineering, research, visual information processing, and language-related computing.

Year IV

The final year includes an internship with practical and fieldwork, advanced course areas, two electives, Project VI, and a professional project.

Elective Course Areas

The curriculum provides elective options across four subject groups:

• Computer Vision: Image and Video Processing; Surveillance Video Analytics; People Detection and Bio-metric Recognition

• Mathematics: Introduction to Statistical Learning; Optimization Methods in Machine Learning/Convex Optimization; Kernel Methods; Bayesian Data Analysis

• Computing/IoT: Smart Product Development; Predictive Analysis and IoT; Modeling and Simulation; Pervasive Computing

• Data Science: Fundamentals of Big Data Analytics; Data Analysis and Visualization; Business Intelligence; Social Media Analytics

Projects and Practical Learning

Semester project work begins in the second semester and continues through the remaining seven semesters. Students apply concepts from other courses while completing a project during each semester.

Projects may be completed in groups of up to three students under the guidance of a group adviser. The project process develops experience in planning, research, teamwork, assessment, report writing, and presentation.

The seventh semester includes a three-credit internship involving practical and fieldwork. The eighth semester includes a three-credit professional project.

Attendance Requirement

Students must maintain at least 80 percent attendance in lectures, tests, and tutorial classes to qualify for the final examination of a subject.

Work missed because of an unavoidable absence must be completed satisfactorily.

Evaluation System

Students are assessed throughout each semester through class or tutorial participation, assignments, laboratory work, class tests, and quizzes. End-semester examinations are set and evaluated by examiners.

Grading System

An incomplete grade must be cleared within six weeks from the end of the semester. When the required academic work is not completed within that period, the grade is converted to a fail.

Students must maintain a cumulative grade point average of at least 2.0 throughout the study period. A student who does not maintain the required CGPA may be required to withdraw from the program.

Learning Environment at Aryan School

Aryan School of Engineering and Management is located in Mid Baneshwor, Kathmandu. Its academic facilities include classrooms with audio-visual tools, laboratories, a library, an e-library, a cafeteria, and sports facilities.

Students may also participate in seminars, workshops, clubs, recreational activities, communication courses, and problem-solving activities. Site visits are organized as part of practical learning support.

Scholarships

Scholarship consideration at Aryan School of Engineering and Management is primarily connected with performance in the entrance examination and the applicant’s previous academic record at the 10+2 or equivalent level.

Further Study Options

After completing the B.Tech in Artificial Intelligence, graduates may pursue graduate programs 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

FAQ

What is the duration of the B.Tech in AI at Aryan School?

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

Which university is the B.Tech in AI affiliated with?

The program is affiliated with Purbanchal University.

Where is Aryan School of Engineering and Management located?

The institution is located in Mid Baneshwor, Kathmandu, Nepal.

What is the eligibility for B.Tech in Artificial Intelligence?

Applicants must have completed twelve years of education in the science stream. They need a minimum D+ in each subject with a CGPA of 2.0 or above, or at least second division with 45 percent in 10+2, PCL, or an equivalent science qualification.

Is an entrance examination required?

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

What is the medium of instruction?

English is the medium of instruction and examination for all subjects.

Does the course include projects and an internship?

Yes. Project work begins in the second semester and continues through the later semesters. The seventh semester includes an internship, while the eighth semester includes a professional project.

What attendance percentage is required?

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