Duration
Discipline
Level
Affiliation
Last Updated
Should have achieved a minimum D+ grade in each subject of 10+2 with a CGPA of 2.0 or more
OR
Should have secured a minimum score of second division (45%) marks in 10+2, PCL, or equivalent in the science discipline.
OR
Students who have passed grade 11 and are waiting for the supplementary exam (PURAK PARIKSHA) of grade 12 can also apply. However, they have to submit all the required documents at the time of admission.
OR
Students who appeared in the final exam and are waiting for the result and certificates can also apply for the entrance examination. However, they have to submit all the required documents at the time of admission.
| Course Code | Course Title | Total (Hrs) |
|---|---|---|
| BT101CO | Introduction to Programming | 6 |
| BT102CO | Digital Logic | 6 |
| BT103HS | Calculus | 4 |
| BT104HS | Introduction to Artificial Intelligence | 4 |
| BT105HS | Technical Report Writing and Presentation | 4 |
| BT106HS | Society and Professional Ethics | 4 |
| Course Code | Course Title | Total (Hrs) |
|---|---|---|
| BT251CO | Object Oriented Programming | 6 |
| BT252CO | AI and Intelligent Systems | 6 |
| BT253CO | Microprocessor and Assembly Language | 6 |
| BT254CO | Probability and Statistics | 4 |
| BT255HS | Linear Algebra | 4 |
| BT256CO | Project I | 3 |
| Course Code | Course Title | Total (Hrs) |
|---|---|---|
| BT201CO | Database Management System | 6 |
| BT202CO | Data Structure and Algorithm | 6 |
| BT203CO | Computer Organization | 4 |
| BT204CO | Operating System | 6 |
| BT205HS | Differential Equations | 4 |
| BT206CO | Project II | 3 |
| Course Code | Course Title | Total (Hrs) |
|---|---|---|
| BT251CO | Numerical Methods | 6 |
| BT252CO | Computer Networks | 6 |
| BT253CO | Design and Analysis of Algorithms | 4 |
| BT254CO | Programming for AI (Tools, Techniques, Libraries) | 6 |
| BT255HS | Introduction to Data Science | 6 |
| BT256CO | Project III | 3 |
| Course Code | Course Title | Total (Hrs) |
|---|---|---|
| BT301CO | Machine Learning | 6 |
| BT302CO | Optimization Techniques | 6 |
| BT303CO | Embedded Systems | 6 |
| BT304CO | Pattern Recognition and Image Processing | 6 |
| BT305CO | Data Warehousing and Mining | 6 |
| BT306CO | Project IV | 3 |
| Course Code | Course Title | Total (Hrs) |
|---|---|---|
| BT351CO | Object Oriented Software Engineering | 6 |
| BT352CO | Computer Vision | 6 |
| BT353CO | Deep Learning | 6 |
| BT354CO | Speech and Natural Language Processing | 6 |
| BT355HS | Research Methods | 4 |
| BT356CO | Project V | 3 |
| Course Code | Course Title | Total (Hrs) |
|---|---|---|
| BT401CO | Internship | 3 |
| BT402CO | Reinforcement Learning | 6 |
| BT403CO | Cloud Computing | 6 |
| BT404CO | Project VI | 3 |
| Course Code | Course Title | Total (Hrs) |
|---|---|---|
| BT451CO | IoT for Smart City | 6 |
| BT452** | Elective I | 4 |
| BT453** | Elective II | 4 |
| BT454CO | Professional Project | 4 |
Image and Video Processing
Surveillance Video Analytics
People Detection and Biometric Recognition
Introduction to Statistical Learning
Optimization Methods in Machine Learning / Convex Optimization
Kernel Methods
Bayesian Data Analysis
Smart Product Development
Predictive Analysis and IoT
Modeling & Simulation
Pervasive Computing
Fundamentals of Big Data Analytics
Data Analysis and Visualization
Social Media Analytics