Department of Data Sciences

BS (Data Science) has a dual emphasis on basic principles of statistics and computer science, with foundational training in statistical and mathematical aspects of data analysis. This program develops foundation on broad computer science principles, including algorithms, data structures, data management and machine learning. This program will prepare graduates for a career in data analysis, combining foundational statistical concepts with computational principles from computer science.

Mission Statement

The mission of the Data Science (DS) Program is to integrate the research into practical, relevant solutions to address business and societal challenges. Through DS educational programs, to address the analytical and data-centric needs of a modern workforce. It serves the broader community in the translation of data into information to support and improve decision making.

Higher Secondary School Certificate or equivalent (2nd division with at least 50% marks) in pre-engineering/pre-medical/Intermediate in computer sciences/relevant subjects.

Message from the Head of the Data Sciences Department:

PEO: 01

To provide in-depth understanding and education of civil engineering by incorporating analysis, design, construction and management of engineering problems.

PEO: 02

To impart ethics and concepts of sustainable development

PEO: 03

To enhance student skills through effective communication and teamwork

Course No	Course Title	Credit Hours
	Introduction to ICT	3 (2-1)
	Programming Fundamentals	4 (3-1)
	Discrete Structures	3 (3-0)
	Calculus & Analytic Geometry	3 (3-0)
	English Composition & Comprehension	3 (3-0)
	Total Credits	16

Course No	Course Title	Credit Hours
	Object Oriented Programming	4 (3-1)
	Database Systems	4 (3-1)
	Linear Algebra	3 (3-0)
	Probability & Statistics	3 (3-0)
	Communication & Presentation Skills	3 (3-0)
	Total Credits	17

Course No	Course Title	Credit Hours
	Data Structures & Algorithms	4 (3-1)
	Information Security	3 (3-0)
	Artificial Intelligence	4 (3-1)
	Digital Logic Design	4 (3-1)
	Differential Equations	3 (3-0)
	Total Credits	18

Course No	Course Title	Credit Hours
	Computer Networks	4 (3-1)
	Computer Org. & Assembly Language	4 (3-1)
	Analysis of Algorithms	3 (3-0)
	Introduction to Data Science	3 (2-1)
	Advance Statistics	3 (3-0)
	Total Credits	17

Course No	Course Title	Credit Hours
	Operating System	4 (3-1)
	Data Mining	3 (2-1)
	Data Warehousing & Business Intel.	3 (2-1)
	DS Electiv-1	3 (3-0)
	DS Elective-2	3 (2-1)
	University Elective-1	3 (3-0)
	Total Credits	19

Course No	Course Title	Credit Hours
	Parallel & Distributed Computing	3 (2-1)
	Big Data Analytics	3 (2-1)
	Data Visualization	3 (2-1)
	DS Elective-3	3 (3-0)
	DS Elective-4	3 (3-0)
	University Elective-2	3 (3-0)
	Total Credits	18

Course No	Course Title	Credit Hours
	Final Year Project - I	2 (0-2)
	Software Engineering	3 (3-0)
	University Elective-3	3 (3-0)
	Technical & Business Writing	3 (3-0)
	Islamic Studies/ Ethics	2 (2-0)
	Total Credits	13