NUML | Rawalpindi

Program Info.

The Bachelor of Science in Data Science (BSDS) program is designed to equip students with a strong foundation in data-driven decision making, statistical analysis, and computational techniques. This program emphasizes the integration of mathematics, statistics, computer science, and domain knowledge to extract meaningful insights from large and complex datasets. Graduates will be prepared for careers in data analysis, machine learning, artificial intelligence, business intelligence, and research, with a focus on solving real-world problems through innovative data-driven solutions.

Eligibility Criteria

Eligibilty

Intermediate (F. Sc/ICS) with 50% Marks
DAE in the relevant discipline with 60% Marks
Students with F. Sc (Pre-Medical) must pass 6 credit hours Math (deficiency courses) in the first year of BS Program.

Program Objectives (PO):

PO-1: Apply analytical thinking, computational knowledge, and problem-solving skills to develop intelligent solutions and contribute to advancements in the field of data science.
PO-2: Demonstrate effective communication, teamwork, and ethical professional practices in multidisciplinary and collaborative environments.
PO-3: Employ modern data science tools and technologies to solve societal, environmental, and business challenges, while embracing lifelong learning and continuous professional development.

Graduate Attributes (GA)

GA	Description
1. Academic Education	To prepare graduates as computing professionals
2. Knowledge for Solving Computing Problems	Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements
3. Problem Analysis	Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines
4. Design/Development of Solutions	Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations
5. Modern Tool Usage	Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations
6. Individual and Teamwork	Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings
7. Communication	Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions
8. Computing Professionalism and Society	Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice
9. Ethics	Understand and commit to professional ethics, responsibilities, and norms of professional computing practice
10. Life-long Learning	Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional

Semester I
1	Programming Fundamentals	3 + 0
2	Programming Fundamentals - Lab	0 + 1
3	Application of information & Communication Technologies	2 + 0
4	Application of information & Communication Technologies - Lab	0 + 1
5	Islamic Studies	2 + 0
6	Applied Physics	2 + 0
7	Applied Physics - Lab	0 + 1
8	Functional English	3 + 0
9	Pakistan Studeis	2 + 0
10	Math-1 for Pre-Medical students (3,0)	3 + 0

Semester I

Sr.No.

Course Name

Crdt.Hrs

Programming Fundamentals

3 + 0

Programming Fundamentals - Lab

0 + 1

Application of information & Communication Technologies

2 + 0

Application of information & Communication Technologies - Lab

0 + 1

Islamic Studies

2 + 0

Applied Physics

2 + 0

Applied Physics - Lab

0 + 1

Functional English

3 + 0

Pakistan Studeis

2 + 0

Math-1 for Pre-Medical students (3,0)

3 + 0

Semester II
1	Discrete Structures/td>	3 + 0
2	Object Oriented Programming	3 + 0
3	Object Oriented Programming - Lab	0 + 1
4	Calculus & Analytical Geometry	3 + 0
5	Digital Logic Design	2 + 0
6	Digital Logic Design - Lab	0 + 1
7	Expository Writing	3 + 0
8	Idealogy and Constitution of Pakistan	3 + 0
9	Math-2 for Pre-Medical students (3,0)	2 + 0

Semester II

Sr.No.

Course Name

Crdt.Hrs

Discrete Structures/td>

3 + 0

Object Oriented Programming

3 + 0

Object Oriented Programming - Lab

0 + 1

Calculus & Analytical Geometry

3 + 0

Digital Logic Design

2 + 0

Digital Logic Design - Lab

0 + 1

Expository Writing

3 + 0

Idealogy and Constitution of Pakistan

3 + 0

Math-2 for Pre-Medical students (3,0)

2 + 0

Semester III
1	Professional Practices	2 + 0
2	Data Structures	3 + 0
3	Data Structures - Lab	0 + 1
4	Linear Algebra	3 + 0
5	Introduction to Psychology	3 + 0
6	Probability and Statictics	3 + 0
7	Artifical Intelligence	2 + 0
8	Artifical Intelligence - Lab	0 + 1
9	Understanding of Holy Quran - I	1 + 0

Semester III

Sr.No.

Course Name

Crdt.Hrs

Professional Practices

2 + 0

Data Structures

3 + 0

Data Structures - Lab

0 + 1

Linear Algebra

3 + 0

Introduction to Psychology

3 + 0

Probability and Statictics

3 + 0

Artifical Intelligence

2 + 0

Artifical Intelligence - Lab

0 + 1

Understanding of Holy Quran - I

1 + 0

Semester IV
1	Understanding of Holy Quran - II	1 + 0
2	Software Engineering	3 + 0
3	Database Systems	3 + 0
4	Database Systems - Lab	0 + 1
5	Computer Networks	2 + 0
6	Computer Networks - Lab	0 + 1
7	Introduction to Data Science	2 + 0
8	Introduction to Data Science - Lab	0 + 1
9	Entrepreneurship	2 + 0
10	Civics and Community Engagement	2 + 0

Semester IV

Sr.No.

Course Name

Crdt.Hrs

Understanding of Holy Quran - II

1 + 0

Software Engineering

3 + 0

Database Systems

3 + 0

Database Systems - Lab

0 + 1

Computer Networks

2 + 0

Computer Networks - Lab

0 + 1

Introduction to Data Science

2 + 0

Introduction to Data Science - Lab

0 + 1

Entrepreneurship

2 + 0

Civics and Community Engagement

2 + 0

Semester V
1	Datawarehouse and Business Intelligence	2 + 0
2	Datawarehouse and Business Intelligence < - Lab	0 + 1
3	Advance Statistics	2 + 0
4	Advance Statistics - Lab	0 + 1
5	Domain Elective - 1	2 + 0
6	Domain Elective - 1 - Lab	0 + 1
7	Multivariable Calculus	3 + 0
8	Analysis of Algorithm	3 + 0
9	Operaing Systtem	2 + 0
10	Operaing Systtem - Lab	0 + 1

Semester V

Sr.No.

Course Name

Crdt.Hrs

Datawarehouse and Business Intelligence

2 + 0

Datawarehouse and Business Intelligence < - Lab

0 + 1

Advance Statistics

2 + 0

Advance Statistics - Lab

0 + 1

Domain Elective - 1

2 + 0

Domain Elective - 1 - Lab

0 + 1

Multivariable Calculus

3 + 0

Analysis of Algorithm

3 + 0

Operaing Systtem

2 + 0

Operaing Systtem - Lab

0 + 1

Semester VI
1	Technical & Business Writing	3 + 0
2	Data Mining	2 + 0
3	Data Mining - Lab	0 + 1
4	Domain Elective - 2	3 + 0
5	Domain Elective - 3	2 + 0
6	Domain Elective - 3 - Lab	0 + 1
7	Parallel and Distributed Computing	2 + 0
8	Parallel and Distributed Computing - Lab	0 + 1
9	Informaion Security	2 + 0
10	Informaion Security - Lab	0 + 1

Semester VI

Sr.No.

Course Name

Crdt.Hrs

Technical & Business Writing

3 + 0

Data Mining

2 + 0

Data Mining - Lab

0 + 1

Domain Elective - 2

3 + 0

Domain Elective - 3

2 + 0

Domain Elective - 3 - Lab

0 + 1

Parallel and Distributed Computing

2 + 0

Parallel and Distributed Computing - Lab

0 + 1

Informaion Security

2 + 0

Informaion Security - Lab

0 + 1

Semester VII
1	Data visualization	2 + 0
2	Data visualization - Lab	0 + 1
3	Domain Elective - 4	2 + 0
4	Domain Elective - 4 - Lab	0 + 1
5	Computer Organization & Assembly Language	2 + 0
6	Computer Organization & Assembly Language - Lab	0 + 1
7	Final Year Project-I	3 + 0
8	Domain Elective - 5	2 + 0
9	Domain Elective - 5 - Lab	0 + 1

Semester VII

Sr.No.

Course Name

Crdt.Hrs

Data visualization

2 + 0

Data visualization - Lab

0 + 1

Domain Elective - 4

2 + 0

Domain Elective - 4 - Lab

0 + 1

Computer Organization & Assembly Language

2 + 0

Computer Organization & Assembly Language - Lab

0 + 1

Final Year Project-I

3 + 0

Domain Elective - 5

2 + 0

Domain Elective - 5 - Lab

0 + 1

Semester VIII
1	Domain Elective - 6	2 + 0
2	Domain Elective - 6 - Lab	0 + 1
3	Financial Managgement	3 + 0
4	Final Year Project - II	3 + 0
5	Domain Elective - 7	2 + 0
6	Domain Elective - 7 - Lab	0 + 1
7	Foreign Language	3 + 0

Semester VIII

Sr.No.

Course Name

Crdt.Hrs

Domain Elective - 6

2 + 0

Domain Elective - 6 - Lab

0 + 1

Financial Managgement

3 + 0

Final Year Project - II

3 + 0

Domain Elective - 7

2 + 0

Domain Elective - 7 - Lab

0 + 1

Foreign Language

3 + 0

BS(Data Science)

Program Info.

Eligibility Criteria

Eligibilty

Tentative Study Plan