Statistics
Departmental Ledger
At a Glance
Career Paths
Government Graduate College Asghar Mall, Rawalpindi · est. 1948
The Department of Statistics aims to become a leading centre of excellence in Statistics by producing competent, ethical, and innovative graduates equipped with advanced statistical knowledge, data analytics, machine learning, and research skills to address real-world challenges.
Vision: A culture of critical thinking, scientific inquiry, and lifelong learning, contributing to evidence-based decision-making, sustainable development, and technological advancement.
Mission: Provide high-quality education in statistics, machine learning, and quantitative research through innovative, student-centred teaching; develop graduates with strong analytical, computational, and problem-solving skills for academia, industry, business, healthcare, economics, and public policy; and promote research, interdisciplinary collaboration, and ethical practice.
The Faculty
Dr. Muhammad Taqi Shirazi
Assistant Professor & Head of Department · PhD in Statistical Process Control — Python, Machine Learning, R and SPSS
Syed Mubashir Ali Mubashir
Associate Professor · MSc Statistics — Introductory Statistics, Quantitative Reasoning
Khalil Ahmad
Assistant Professor · MPhil in Statistics — Design and Analysis of Experiments, Biostatistics
Muhammad Asghar
Assistant Professor · MS Statistics — Multivariate Analysis, Statistical Methods
Dr. Syed Yasir Abbas Naqvi
Lecturer in Statistics · PhD in Statistical Process Control — Operations Research, Big Data, Quality Control
Waseem Abbas
Lecturer in Statistics · MPhil in Statistics — Probability Distributions and Statistical Inference
Muhammad Adnan
Lecturer in Statistics · MPhil in Statistics — Time Series Analysis, Econometrics
Zaheer Aslam
Lecturer in Statistics · MPhil in Statistics — Biostatistics and Spatial Health Inequalities
Zeshan Shafiq
Lecturer in Statistics · MPhil in Statistics — Experimental Design, Probability Distributions
Waris Nawaz
Lecturer in Statistics · MPhil in Statistics — Sampling Techniques
Admissions · Session 2026
BS Statistics
Why Study Statistics Here
Faculty research and teaching interests span applied statistics, biostatistics and spatial health inequalities, time series analysis and econometrics, experimental design and sampling theory, operations research and big data, and statistical computing with Python, R, and SPSS — the same tools students are taught to use.