Message from the Principal

Dear Students,

It is my pleasure to welcome you to the College of Statistical Sciences, University of the Punjab, which is a prestigious and pioneer institution of teaching and research in Statistics with a rich legacy of academic excellence, innovation, and service since its inception in 1950.
Whether you are just beginning your journey with us or are already a part of our vibrant academic community, you are joining a college that has long been at the forefront of statistical education and research in Pakistan. Over the decades, our graduates have gone on to make significant contributions in academia, industry, government, healthcare, and beyond — not only in Pakistan but across the globe.
At our college, we offer a diverse and future-focused range of undergraduate programs which are well designed to teach and train the students. These programs are designed to equip students with deep theoretical understanding, practical analytical skills, and the ability to think critically and ethically in a rapidly changing data-driven world.
I encourage you to make the most of the opportunities available to you — engage with your teachers and peers, participate in research, and challenge yourself to go beyond the classroom. Your curiosity, hard work, and ambition are the keys to unlocking a successful and meaningful future.
To our prospective students: I invite you to become part of this academic tradition. You will find here not just an education, but a nurturing environment where your potential is recognized and developed.
Together, let us uphold the values of knowledge, integrity, and excellence that define our this prestigious institute.

Best wishes,

Prof. Dr. Sohail Chand
Principal

Introduction
The subject of Statistics was first introduced at the University of the Punjab in 1941 at both the undergraduate and postgraduate levels. In 1950, under the visionary leadership of the late Dr. M. Zia ud Din, the Department of Statistics was formally established. That same year, alongside a postgraduate diploma program, a two-year Master degree program in Statistics was launched.
In 1952, recognizing the department’s growing academic and research contributions, it was elevated to the status of an Institute. Since then, the Institute has remained at the forefront of research and education in both theoretical and applied statistics, fostering a culture of academic excellence and scholarly inquiry.
In 2007, reflecting its expanded scope and continued development, the Institute was further upgraded to become the constituent College. Today, the College continues to play a pivotal role in advancing statistical education and research, with a strong emphasis on interdisciplinary collaboration, innovation, and preparing students to meet the challenges of a data-driven world.

Undergraduate Programs

The College of Statistical Sciences offers a dynamic range of four-year undergraduate degree programs designed to equip students with strong analytical, quantitative, and problem-solving skills that are essential in diverse professional domains. These programs combine foundational statistical theory with modern applications in emerging fields, preparing graduates to excel in academia, industry, research, and government sectors.

1. BS Statistics

This program provides a solid grounding in core statistical concepts, methods, and data analysis. Students have the opportunity to specialize in one of the following cutting-edge areas:

Data Science: Focuses on statistical modeling, machine learning, big data technologies, and computational tools used to extract insights from large datasets.

Operations Research: Emphasizes optimization, decision-making, and systems analysis techniques for improving efficiency in business, engineering, and logistics.

Actuarial Science: Combines statistics, mathematics, and finance to assess and manage risk, especially in insurance and financial industries.

Biostatistics: Applies statistical methods to the fields of public health, medicine, and biology, supporting evidence-based decision-making in healthcare.

2. BS Biostatistics

Tailored for students interested in the intersection of statistics and life sciences, this program emphasizes statistical techniques used in clinical trials, epidemiology, public health research, and genetics. Graduates are well-prepared for careers in medical research organizations, health policy agencies, and pharmaceutical companies.

3. BS Computational Statistics & Data Analytics

This program integrates statistical theory with computer science and data analytics. It covers algorithmic modeling, statistical computing, machine learning, and visualization techniques, enabling students to handle complex, high-dimensional data in modern analytical environments. These programs reflect our commitment to academic excellence, interdisciplinary learning, and practical skill development. With expert faculty, hands-on training, and strong industry relevance, our undergraduate offerings prepare students to become leaders in the rapidly evolving data economy.

BS Statistics – (5th Semester intake)

The College of Statistical Sciences offers admission to 4-year BS Statistics program (5th semester intake) for students who have successfully completed a 2-year Associate Degree or an equivalent qualification with a focus on mathematics and/or statistics. This lateral entry pathway allows academically qualified students to join the third year (5th semester) of our regular 4-year BS Statistics program, enabling them to complete their bachelor's degree in just two additional years. Students admitted through this track benefit from the same rigorous academic curriculum, experienced faculty, and access to modern computational and statistical tools as those in the regular BS program. The curriculum is designed to bridge any foundational gaps, ensuring a smooth academic transition and preparing students for diverse careers in research, industry, and data-driven decision-making. This program reflects the College's commitment to flexible and inclusive education pathways that recognize prior learning and expand opportunities for academic and professional advancement.

MPhil in Statistics

The MPhil in Statistics is a rigorous 2-year postgraduate program offered by the College of Statistical Sciences, designed for students seeking advanced knowledge and research experience in the field of statistics.

The program is structured into two distinct phases:

Year 1 – Coursework:

Students undertake a comprehensive set of advanced courses covering core areas such as statistical modeling, statistical inference, multivariate analysis, regression modeling, Bayesian statistics, statistical computing, and specialized electives aligned with emerging trends in data science, biostatistics, and applied statistics.

Year 2 – Research Thesis:

In the second year, students engage in supervised research leading to the submission of an original thesis. This phase emphasizes independent investigation, critical thinking, and scholarly communication. Students have the opportunity to work on theoretical advancements or practical applications of statistics in fields such as health, environmental sciences, finance, agriculture, education, and technology.

The MPhil program serves as a gateway to PhD studies and high-level research positions, while also equipping graduates with analytical and methodological skills valuable in academia, government, industry, and international organizations.

PhD in Statistics

The PhD in Statistics program at the College of Statistical Sciences is designed to develop highly skilled researchers capable of advancing the frontiers of statistical theory and practice. It combines rigorous academic training with original, high-impact research aimed at solving complex real-world problems.

The program is structured in two phases:

Year 1 – Coursework:

The first year is dedicated to advanced coursework that deepens the student’s understanding of statistical theory, methodology, and research tools. Core areas include statistical inference, probability theory, advanced regression, multivariate analysis, Bayesian methods, and specialized topics aligned with the candidate’s research interests.

Years 2 and Beyond – Research and Dissertation:

After successful completion of coursework and comprehensive exams, candidates embark on a minimum of two years of supervised research, culminating in a doctoral dissertation that makes an original and substantial contribution to the field of statistics. Research may be theoretical, methodological, or applied, with potential focus areas including data science, biostatistics, econometrics, statistical learning, operations research, and more. PhD candidates work closely with experienced faculty members, engage with ongoing research projects, and are encouraged to publish in reputable journals and present at national and international conferences. The program prepares graduates for leadership roles in academia, research institutions, government agencies, and data-intensive industries, both in Pakistan and globally.

M.Phil / Ph.D. Produced • M.Phil in Statistics Produced 306 • Ph.D in Statistics Produced 30 • Ph.D in Statistics thesis (submitted) 05