BS Mathematics

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BS Mathematics

Program Overview

The Bachelor of Science in Mathematics at National Skills University is designed in accordance with the provisions of the HEC Undergraduate Education Policy to provide students with a strong foundation in both theoretical and applied mathematics while addressing contemporary mathematical challenges and their practical applications across diverse fields. The program integrates key areas of mathematics, including algebra, calculus, geometry, analysis, statistics, numerical analysis, operations research, and computational techniques, equipping students with the analytical and quantitative skills necessary for research, industry, and advanced academic pursuits. Emphasis is placed on developing critical thinking, logical reasoning, mathematical modeling, and problem-solving abilities through modern computational tools and scientific approaches.

Eligibility

4 Years Study Plan

Scheme of Studies

1st Semester

S. No.	Code	Course Title	Type	Cr. Hrs.
1	ENG-101	Functional English	General	3(2+1)
2	QR-101	Quantitative Reasoning-I	General	3
3	PST-101	Pakistan Studies	General	2
4	PHY-101	Physics	General	3(2+1)
5	ICT-101	Applications of Information and Communication Technologies (ICT)	General	3(2+1)
6	IST-101	Fehm-e-Quran / Understanding of Holy Quran-I	General	1(0+1)
7	MAT-101	Calculus-I	Major	3
Total Credit Hours				18

2nd Semester

S. No.	Code	Course Title	Type	Cr. Hrs.
1	GEN-101	Introduction to Arts and Humanities	General	2
2	ENG-102	Expository Writing	General	3
3	QR-102	Quantitative Reasoning-II	General	3
4	IST-102	Fehm-e-Quran / Understanding of Holy Quran-II	General	1(0+1)
5	CS-101	Fundamentals of Programming	Inter	3(2+1)
6	MAT-102	Calculus-II	Major	3
7	MAT-103	Discrete Mathematics	Major	3
Total Credit Hours				18

3rd Semester

S. No.	Code	Course Title	Type	Cr. Hrs.
1	GEN-201	Introduction to Social Sciences	General	2
2	GEN-202	Ideology and Constitution of Pakistan	General	2
3	IST-201	Islamic Studies	General	2
4	CS-202	Advanced Programming	Inter	3(2+1)
5	AI-201	Artificial Intelligence	Inter	3(2+1)
6	MAT-201	Calculus-III	Major	3
7	MAT-202	Elementary Differential Equations	Major	3
Total Credit Hours				18

4th Semester

S. No.	Code	Course Title	Type	Cr. Hrs.
1	GEN-203	Civics and Community Engagement	General	2
2	GR-225	Entrepreneurship	General	2
3	STA-201	Statistics & Probability	Inter	3(2+1)
4	MAT-203	Introduction to Linear Algebra	Major	3
5	MAT-204	Ordinary Differential Equations	Major	3
6	AI-202	Data Structures & Algorithms	Inter	3(2+1)
Total Credit Hours				16

5th Semester

S. No.	Code	Course Title	Type	Cr. Hrs.
1	MAT-301	Real Analysis-I	Major	3
2	MAT-302	Partial Differential Equations	Major	3
3	MAT-303	Abstract Algebra	Major	3
4	MAT-304	Numerical Methods	Major	3(2+1)
5	PHY-301	Introduction to Mechanics	Inter	3(2+1)
6	AI-301	Machine Learning	Inter	3(2+1)
Total Credit Hours				18

6th Semester

S. No.	Code	Course Title	Type	Cr. Hrs.
1	MAT-305	Real Analysis-II	Major	3
2	MAT-306	Complex Analysis	Major	3
3	MAT-307	Topology	Major	3
4	MAT-308	Linear Algebra (Elective)	Major	3
5	PHY-302	Introduction to Classical Mechanics	Inter	3
Total Credit Hours				15

Internship: Internship either during the semester or in summer — 3 Credit Hours

7th Semester

S. No.	Code	Course Title	Type	Cr. Hrs.
1	MAT-401	Differential Geometry	Major	3
2	MAT-402	Functional Analysis-I (Elective)	Major	3
3	MAT-403	Elementary Number Theory & Combinatorics (Elective)	Major	3
4	-	Elective-IV	Major	3
5	SWR-401	Scientific Writing & Research Methods	Inter	3
Total Credit Hours				15

8th Semester

S. No.	Code	Course Title	Type	Cr. Hrs.
1	-	Elective-V	Major	3
2	-	Elective-VI	Major	3
3	-	Elective-VII	Major	3
4	-	Elective-VIII	Major	3
5	-	Capstone Project	Capstone	3
Total Credit Hours				15

Internship: Internship either during the semester or in summer (3 Credit Hours)

Admission Test

The admission test will be conducted at the University based on the Intermediate level. The distribution of marks is as follows:

Evaluation Category	Distribution of Marks
English	20%
Mathematics / Biology	60%
Analytical Skills	20%

Note: The Undergraduate Studies Aptitude Test (USAT) conducted by the Educational Testing Council (ETC) is acceptable in lieu of the NSU Admission Test.

The merit list of candidates will be determined by combining the weighted marks obtained in the entrance test with the weighted marks earned in the previous public examinations. The weightage criteria for undergraduate degree programs are as follows:

Evaluation Category	Distribution of Marks
Matric	10%
Intermediate	40%
Entrance Test	50%

Why Bachelor of Science in Mathematics?

Mathematics is the language of science, innovation, and decision making, forming the backbone of almost every modern discipline, including engineering, finance, data science, artificial intelligence, and emerging technologies. The BS Mathematics program at National Skills University is designed to develop highly skilled graduates who can think logically, analyze complex problems, and apply mathematical principles to real world challenges. In an era where data driven solutions and quantitative analysis are essential for progress, mathematicians play a crucial role in designing models, optimizing systems, and supporting informed decision making across industries.

This program equips students not only with strong theoretical foundations but also with practical analytical and computational skills that are highly valued in today’s job market. Graduates are prepared to work in academic, research, banking, finance, statistics, government organizations, and technology sectors, or to pursue higher studies in specialized mathematical fields. By combining rigorous academic training with problem-solving and analytical thinking, the program ensures that students can contribute effectively to scientific advancement, industrial development, and national growth.

Program Educational Objectives (PEOs)

PEO-I: Build a strong foundation in pure, applied, and computational mathematics to analyze and solve scientific and technological problems.
PEO-II: Develop proficiency in mathematical modeling, quantitative analysis, and problem-solving using modern computational tools.
PEO-III: Prepare graduates for advanced studies, research, and professional careers in mathematics, statistics, and related interdisciplinary domains.
PEO-IV: Promote independent learning, critical thinking, and the ability to synthesize and communicate mathematical knowledge effectively.
PEO-V: Encourage innovation, ethical reasoning, and lifelong learning to adapt to emerging technologies and scientific challenges.

Program Learning Outcomes (PLOs)

PLO-I: Demonstrate a strong understanding of mathematical concepts, computational methods, and their application to solving complex real-world problems.
PLO-II: Apply analytical and problem-solving skills using mathematical reasoning, modeling, and computation.
PLO-III: Develop proficiency in quantitative analysis and computational tools (e.g., MATLAB, Python, Mathematica) for mathematical problem-solving.
PLO-IV: Employ research methods, critical thinking, and logical reasoning to address interdisciplinary challenges.
PLO-V: Integrate ethical principles and professional values in mathematical practice, research, and professional conduct.
PLO-VI: Engage in lifelong learning and continuous professional development to remain current with advancements in mathematics and related fields.