BSc (Hons) Computing with Artificial Intelligence at London Metropolitan University, BSc (Hons) Computing with Artificial Intelligence Colleges in Nepal

BSc (Hons) Computing With Artificial Intelligence

Affiliated to: London Metropolitan University

About Course

Course Title : BSc (Hons) Computing With Artificial Intelligence
Category/Level : Bachelors
Course Duration (months) : 36 months
Affiliated to : London Metropolitan University

Course Description:

BSc (Hons) Computing with Artificial Intelligence course gives an understanding of how inputs such as language, vision and huge amounts of data can be used for decision making. You will begin with courses in computer programming, mathematics, and an introduction to the field of robotics and artificial intelligence along with topics on neural networks and computer vision, machine learning and natural language processing.

This program provides insights into the use of inputs such as language, vision, and large amounts of data for informed decision-making. The curriculum begins with foundational courses in computer programming, mathematics, and robotics and artificial intelligence. Additionally, students study neural networks, computer vision, machine learning, and natural language processing.

Admission info

Entry Requirement
Academic Level
- NEB +2 overall aggregate of 2.2 CGPA (55%) or above with each subject (theory and practical) grade D+ or above, and SEE Mathematics score of C+ (50%) or above

- For A-Levels, a minimum of 3.5 credits and at least a grade of D and above

English Proficiency
- English NEB XII Marks > 60% or 2.4 GPA

- Applicants not meeting the aforementioned criteria for english can demonstrate their English proficiency with the following internationally recognised English Tests:

For Level 4 or Year 1 BIT
- Pass in General Paper or English Language or IELTS 6 or PTE 53

- Students not meeting the aforementioned criteria will have to pursue University Foundation Course (UFC). UFC is a one year academic programme of London Metropolitan University (LMU) designed to fulfill undergraduate admission requirements.

Syllabus

Curricular Structure
Year 1
Programming-Credits: 30
Introduction to Information Systems-Credits: 15
Fundamentals of Computing-Credits: 15
Calculus and Linear Algebra-Credits: 30
Introduction to Robotics and IoT-Credits: 30

Year 2
Data Structure and Specialist Programming-Credits: 30
Software Engineering-Credits: 30
Database-Credits: 15
Probability and Statistics-Credits: 15
Further Calculus-Credits: 15
Applied Data Science-Credits: 15

Year 3
Project-Credits: 30
Big Data and Data Mining-Credits: 30
Work related Learning II-Credits: 15
Artificial Intelligence-Credits: 15
Computer Vision-Credits: 15
Applied Machine Learning-Credits: 15