B.Sc. in Data Science and Engineering
The objective of the course is to present an overview of artificial intelligence (AI) principles and approaches. Develop a basic understanding of the building blocks of AI as presented in terms of intelligent agents: Search, Knowledge representation, inference, logic, and learning. Upon successful completion of this course students will be able to design knowledge based systems. Students will be familiar with terminology used in this topical area, and have read and analyzed important historical and current trends addressing artificial intelligence.
Duration
4 Years
Credits
138 Credit Hours
Degree
Undergraduate
Program Overview
The objective of the course is to present an overview of artificial intelligence (AI) principles and approaches. Develop a basic understanding of the building blocks of AI as presented in terms of intelligent agents: Search, Knowledge representation, inference, logic, and learning. Upon successful completion of this course students will be able to design knowledge based systems. Students will be familiar with terminology used in this topical area, and have read and analyzed important historical and current trends addressing artificial intelligence.
Curriculum Structure
Core Courses
Foundation Courses
Specialization Areas
Specialization Courses
Course Plan
Sequence of Course Offerings in Twelve Trimesters
Trimester 1
Trimester 2
Trimester 3
Trimester 4
Trimester 5
Trimester 6
Trimester 7
Trimester 8
Trimester 9
Trimester 10
Trimester 11
Trimester 12
Elective Courses
Option - I Courses
Advanced Data Science and Computing
Option - II Courses
Application Area
Career Prospects
Software Developer
Design and develop software applications for various platforms and industries.
Data Scientist
Analyze complex data to help organizations make informed decisions.
Cybersecurity Analyst
Protect organizations from cyber threats and security breaches.
Admission Requirements
Academic Requirements
HSC/A-Level
Minimum GPA 3.5 in Science background
SSC/O-Level
Minimum GPA 3.5 in Science background
Mathematics
Strong background in Mathematics required
English Proficiency
IELTS 6.0 or equivalent (for international students)
Application Process
Online Application
Submit application form with required documents
Admission Test
Take the university admission test examination
Interview
Attend personal interview (if shortlisted)
Enrollment
Complete enrollment and fee payment
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