Description
Semester
Bachelor of Technology in Artificial Intelligence
A four-year, eight-semester undergraduate program combining core computing theory with semester-long applied AI projects, taught entirely in English.
| Duration 4 years · 8 semesters |
Medium English |
Min. attendance 80% |
Min. CGPA 2.0 |
1 Eligibility for admission
| Academic background — Twelve years of schooling completed in the science stream. |
| Grades — Minimum D+ in every subject of 10+2 with a CGPA of 2.0 or above, or at least second division (45%) in 10+2 / PCL or equivalent in a science discipline. |
| Pending results — Students awaiting the grade 12 supplementary exam (Pupak Pariksha), or awaiting final results and certificates, may still apply — required documents must be submitted at admission. |
| Foreign certificates — An equivalence certificate plus subject-wise grading (CGPA or total percentage) from the concerned authority is required. |
| Entrance exam — Passing the Purbanchal University entrance examination is mandatory. |
2 Evaluation procedures
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Continuous assessment
Every course is assessed throughout the semester through class and tutorial participation, assignments, lab work, and quizzes. Weighting is announced at the start of the semester.
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Theory + laboratory courses
20% internal marks, 20% practical marks, 60% final examination marks.
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Pure theory courses
40% internal marks, 60% final examination marks.
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Pure laboratory / practical courses
60% continuous internal evaluation, 40% final viva evaluated by the University.
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End-semester examination
Set and evaluated by external examiners at the close of each semester.
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3 Grading scale
| MARKS % | GRADE | GRADE POINT | REMARKS |
| 90 and above | A+ | 4.00 | — |
| 80 – below 90 | A | 3.75 | — |
| 70 – below 80 | B+ | 3.50 | — |
| 60 – below 70 | B | 3.00 | — |
| 50 – below 60 | C | 2.50 | — |
| 40 – below 50 | D | 1.75 | — |
| Below 40 | F | 0.00 | Fail |
| Not qualified / absent | I | — | Incomplete |
An “Incomplete” can be cleared within six weeks of semester end, after which it converts to a Fail.
CGPA = Σ(Credit hrs × Grade pts) / Σ(Credit hrs)
Students must maintain a CGPA of 2.0 or above throughout the program; falling below may require withdrawal.
4 Where it leads
Graduates are eligible to continue into:
M.Tech in Artificial Intelligence M.Sc in Artificial Intelligence Master of Computer Application Master of Information Technology M.Sc in Computer Science M.Sc in Computer Information Systems MBA
Curriculum
- 9 Sections
- 48 Lessons
- 10 Weeks
Expand all sectionsCollapse all sections
- First SemesterFirst Year - First Semester Total Credit -187
- 1.1BT101C0 Introduction to Programming Credit 3
- 1.2BT102CO Digital Logic Credit 3
- 1.3BT103HS Calculus Credit 3
- 1.4BT104HS Introduction to Artificial Intelligence Credit 3
- 1.5BT105HS Technical Report Writing and Presentation Credit 3
- 1.6BT106HS Society and Professional Ethics Credits 3
- 1.7Quiz 130 Minutes3 Questions
- Second SemesterFirst Year - Second Semester Total Credit -177
- 2.1BT251CO Object Oriented Programming Credit 3
- 2.2BT252CO Artificial Intelligence and Intelligent Systems Credits 3
- 2.3BT253CO Microprocessor and Assembly Language Credit 3
- 2.4BT254CO Probability and Statistics Credit 3
- 2.5BT255HS Linear Algebra Credit 3
- 2.6BT256CO Project I Credit 2
- 2.7Quiz 250 Minutes1 Question
- Third SemesterSecond Year - First Semester Total Credit -176
- Fourth SemesterSecond Year - Second Semester Total Credit -176
- Fifth SemesterThird Year - First Semester Total Credit -176
- Sixth SemesterThird Year - Second Semester Total Credit -176
- Seventh SemesterFourth Year - First Semester Total Credit -114
- Eight SemesterFourth Year - Second Semester Total Credit -124
- List of Elective Courses4
Free