Year 2025
- 1st International Conference on “Statistics and AI: Bridging the Gap with Data-Driven Innovations”
Date: 3rd -5th December,2025
Host Organizers: Department of Statistics
Please CLICK HERE to download the Internship Letter.
Please CLICK HERE to download the Permission Letter for Data Collection.
Year 2025
Please CLICK HERE to view the E-Newsletter Vol 5 Issue 02 (July 2025 - December 2025)
Please CLICK HERE to view the E-Newsletter Vol 5 Issue 01 (Jan 2025 - June 2025)
Year 2024
Please CLICK HERE to view the E-Newsletter Vol 4 Issue 02 (July 2024 - December 2024)
Please CLICK HERE to view the E-Newsletter Vol 4 Issue 01 (Jan 2024 -June 2024)
Year 2023
Please CLICK HERE to view the E-Newsletter Vol 3 Issue 02 (July 2023 to Dec 2023)
Please CLICK HERE to view the E-Newsletter Vol 3 Issue 01 (Jan 2023 to June 2023)
Year 2022
Please CLICK HERE to view the E-Newsletter (July 2022 to Dec 2022)
Please CLICK HERE to view the E-Newsletter (May 2021 to June 2022)
LISA 2020 Network:
The Laboratory for Interdisciplinary Statistical Analysis (LISA) of “University of Colorado Boulder (UCB), USA”, under the dynamic leadership of its Director Dr. Eric Vance (Associate Professor Statistics), aims to build capacity of Statistics and data science in developing countries by creating a robust network of laboratories of collaboration called as “stat labs”. These stat labs can perform liked Engines for development by training the next generation of collaborative statisticians and data scientists through short courses and workshops to improve statistical skills and data literacy widely and ultimately serving as infrastructure to support local researchers, businesses, government, and NGOs. The LISA 2020 Program encourages new stat labs to create a strong foundation for their operations by building on their Planning Guide and by adapting best practices learned from other stat labs in the network.
In this context, LISA selected Dr. Asifa Kamal from Department of Statistics Lahore College for Women, University, Lahore)to attend LISA Symposium 2019, held in Kuala Lumpur, Malaysia. The aim of Symposium was to train and create network for collaborative Statistical Laboratories. Lahore College for Women University has attained an opportunity to become a part of thirty partners through Dr. Asifa Kamal (member of LISA network). Other LISA partners have since been identified and selected from China, Brazil, Tanzania, Ethiopia, Ghana, India, Nepal etc. There are bright prospects that it will really impact the University’s ranking by projecting the faculty of LCWU positively in the international research community. The LISA program is well recognized and appreciated by the research community in the United States, therefore, it will be advantageous for the university to create a statistical lab following the LISA model, which will replicate the activities of LISA at LCWU.
LISA-LCWU
Statistics is recognized as a subject to solve real world problems in the research maneuver and every statistician is contacted every now and then by professionals from other areas to analyze and interpret their data. This necessitates establishing a consultancy center for those who need services from statisticians for sound and reliable data analysis. In international scenario many universities has their statistical consultancy centers. There are also online private commercial based international consultancy agencies for the provision of their services.
The need of statistical consultancy is highly associated with research activities. With flourishing research culture in Pakistan there is a significant increase in the number of PhDs awarded out of Pakistani universities. As Statistical data analysis is part and partial of every quantitative research, Statistical consultancy centers are ineluctable need of the time. .
LISA-LCWU is established under the umbrella of Department of Statistics, LCWU. In May 2020, department became full member of LISA 2020 network of labs.
The program trains statisticians and supports them to apply statistics to solve real-world problems and provide research facilities to help researchers, government officials, medical personnel and local industries to apply statistical methods to solve problems and make data driven decisions. It also focuses on conducting short courses and workshops to improve statistical capacity and literacy.
It aims to extend its collaboration to solve real world problems and help analyze, interpret data of professionals from other areas. In Pakistan, with flourishing research culture, there is a significant increase in the number of Ph.D.’s in different disciplines. As a result, this has amplified the demand for statistical consultation. LISA-LCWU is established to cater that demand of researchers within and outside the university.
It also unlocks the collaborative potential of technically trained masters and bachelor students, who in turn will unravel the research potential of their fellows and teach other statisticians to do the same.
Vision / Mission:
The mission of the LISA-LCWU Stat Lab is:
· To produce trained statisticians capable to serve as interdisciplinary collaborators for quantitative research.
· Engage other disciplines to improve statistical knowledge and computing skills.
TEAM MEMBERS
· Coordinator: Dr. Asifa Kamal
· Assistant Coordinators: Ms Asma Zeb, Ms Shahana Khan
· LISA Alumni: Ms. Adan Kamran, Ms. Sadaf Malik, Ms. Aqsa Rafiq
· LISA Internees: Ms Abeera Shakeel, Ms Faiza Afzaal, Ms. Jiya Amir
o Students of MS Statistics: Nimra Karim, Uzma Yaqoob
o Students of BS Statistics: Afrah Hafeez, Roshanay Waseem, Ayesha Waseem, Aliza Malik, Kinza, Urooj Khan.
NEWSLETTER Links:- LISA-2020
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7. https://us20.campaign-archive.com/?u=83800438a882318f01755fa21&id=2ed98cca34
LISA-LCWU Activities:
The link of the detailed reports of activities by LISA-LCWU:
https://www.lcwu.edu.pk/stat-events.html
Year 2021
|
Sr. No |
Event Title |
Resource person |
Dates |
National/ International |
No. of participants |
|
|
Male |
Female |
|||||
|
1 |
LATEX, A Useful Tool for Thesis and Research Paper Writing |
Ms. Naz Saud Assistance: Ms. Aqsa Rafiq |
Feb 22nd-25th 2021 |
Workshop |
|
30 |
|
2 |
Organize your Research with EndNote |
Ms. Abira Shakeel |
Feb 26th 2021 |
Workshop |
|
44 |
|
3 |
Analysis of Complex Survey Data |
Dr. Asifa Kamal |
June 29th 2021 |
Workshop |
|
37 |
|
4 |
How statistics specialists can help in medical research |
Dr. Abdul Rehman Khawaja |
15 July 2021 |
Workshop |
|
55 |
|
5 |
Data Analysis using SPSS in collaboration with DFDI |
Dr. Asifa Kamal |
Sep 27th- Oct 6, 2021 (6 days) |
Workshop |
02 |
38 |
|
6 |
Workshop on Mendeley |
Dr. Sehar Saleem |
Oct 12 and Nov 9, 2021 |
Workshop |
|
80 |
|
7 |
Poster Competition Titled as “Let the Data Speak” Organized in Collaboration with ORIC and Department of Statistics LCWU |
|
Oct 27, 2021 |
Research Activity related to Statistical Data Analysis |
|
53 posters presented |
|
8 |
Categorical Regression Modelling |
Dr. Asifa Kamal |
Nov 12, 2021 |
Workshop |
|
45 |
|
9 |
Spatial Data Analysis with ArcGIS and SaTScan |
Ms. Abira Shakeel |
Nov 24, 2021 |
Online International Workshop |
13 |
1 |
Year 2020:
|
Sr. No |
Event Title |
Resource person |
Dates |
National/ International |
No. of participants |
|
|
Male |
Female |
|||||
|
1 |
Data Visualization, Simulation & Optimization of Generalized Linear Models through Mathematica |
Dr. Sharqa Hashmi |
Feb 24th to 28th, 2020 |
Workshop |
- |
48 |
|
2 |
Tidyverse for Data Science |
Dr. Asifa Kamal |
20-28 July |
Online International Workshop |
3 |
29 |
|
3 |
Advance Analysis Skills & Graphing Solutions in Scientific Research with GraphPad PRISM |
Ms. Afza Rasul
|
Oct 19th – 22nd, 2020 |
Workshop |
- |
30 |
|
4 |
Statistics: Solution to Interdisciplinary Research Problems
|
· Dr. Sat Gupta · Prof. Dr. Saleha Naghmi Habibullah · Dr. Faiza Tabassum · Dr. Maryam Ilyas |
Oct 20th , 2020 |
Webinar
|
https://www.facebook.com/webtvlcwu/videos/353557319227685/?sfnsn=scwspmo
|
|
|
5 |
Structural Equation Modeling, Mediation and Moderation Analysis using AMOS and the PROCESS macro for SPSS
|
Dr. Sharjeel Saleem |
Oct 21st – 22nd, 2020 |
Workshop |
|
34 |
|
6 |
Tidyverse for Data Science |
Dr. Asifa Kamal |
2nd – 6th Nov, 2020 |
Workshop |
|
25 |
Ayisha Shafiq
BS Statistics
Year-I
Semester-I
|
Course Code |
Course Title |
Credit Hours |
|
Maj/Stat-101 |
Introductory Statistics |
4(3+1) |
|
Min/Math-101 |
Elementary Differential and Integral Calculus |
3 |
|
Minor 2 |
Option are given below |
3 |
|
CC/Eng-101 |
Language in Use |
03 (3+0) |
|
CC/Isl-101 |
Islamic Education |
02(2+0) |
Minor 2 options for semester I
· Microeconomics
· Elements of Psychology-I
· Physical Geography-I
· Introduction & Basic Methods of Social Work
Semester-II
|
Course Code |
Course Title |
Credit Hours |
|
Maj/Stat-102 |
Introduction to probability distributions |
4(3+1) |
|
Min/Math-102 |
Complex Numbers and Analytical Geometry |
03 |
|
Minor 2 |
Option are given below |
03 |
|
CC/ CS-102 |
Introduction to Computer |
03 |
|
CC/Eng-102 |
Academic Reading & Writing |
03(3+0) |
|
CC/PS-101 |
Pakistan Studies |
02(2+0) |
Minor 2 options for semester II
· Macroeconomics
· Elements of Psychology-II
· Physical Geography-II
· Society and Social Change
Year-II
Semester-III
|
Course Code |
Paper Title |
Credit Hours |
|
Maj/Stat-201 |
Basic Statistical Inference |
4 (3+1) |
|
Maj/Stat-202 |
Computer Programming |
03 |
|
Min/Math-201 |
Three Dimensional Analytical Geometry and Differential Equations |
04 |
|
GC/ MC-201 |
Introduction to Communication and Mass Media |
03 |
|
CC/Eng-201 |
Communication Skills |
03(3+0) |
Semester-IV
|
Course Code |
Paper Title |
Credit Hours |
|
Maj/Stat-203 |
Introduction to Regression Analysis and Experimental Design |
4 |
|
Maj/Stat-204 |
Statistical Package |
3 |
|
Maj/Stat-205 |
Applied Statistics |
4 |
|
Min/Math-202 |
Infinite Series and linear Algebra |
4 |
|
CC/Eng-202 |
Advanced Academic Reading &Writing |
3 |
Year-III
Semester: V
|
CourseCode |
Paper Title |
Credit Hours |
|
Maj/Stat-301 |
Probability & Probability Distribution-I |
03 |
|
Maj/Stat-302 |
Design & Analysis of Experiments-I |
04 |
|
Maj/Stat-303 |
Sampling Techniques-I |
04 |
|
Maj/Stat-304 |
Regression Analysis |
04 |
|
Maj/Stat-305 |
Research Methodology |
02 |
Semester: VI
|
CourseCode |
Paper Title |
Credit Hours |
|
Maj/Stat-306 |
Probability & Probability Distribution-II |
03 |
|
Maj/Stat-307 |
Design & Analysis of Experiments-II |
04 |
|
Maj/Stat-308 |
Sampling Techniques-II |
04 |
|
Maj/Stat-309 |
Econometrics |
04 |
|
EC/NM-301 |
Numerical methods |
03 |
Year-IV
Semester: VII
|
Course Code |
Paper Title |
Credit Hours |
|
Maj/Stat-401 |
Statistical Inference-I |
04(3+1) |
|
Maj/Stat-402 |
Multivariate Analysis-I |
03(3+0) |
|
EC/Stat-401 EC/Stat-402 EC/Stat-403 |
3 Electives List of courses is attached. |
03(3+0) 03(3+0) 03(3+0) |
Semester: VIII
|
Course Code |
Paper Title |
Credit Hours |
|
Maj/Stat-403 |
Statistical Inference-II |
03(3+0) |
|
Maj/Stat-404 |
Thesis Internship |
06 03 |
|
With Thesis |
||
|
EC/Stat-404 EC/Stat-405 |
2 Electives List of courses is attached. |
03(3+0) 03(3+0) |
|
With Internship |
||
|
EC/Stat-404 EC/Stat-405 EC/Stat-406 |
3 Electives List of courses is attached. |
03(3+0) 03(3+0) 03(3+0) |
List of Elective Subjects
· Statistical Quality Control & Reliability
· Multivariate Analysis-II
· Bio Statistics
· Time Series Analysis and Forecasting
· Operational Research
· Decision Theory
· Categorical Data Analysis
· Survival Analysis
· Non-Parametric Methods
· Population Studies
· Reliability Analysis
Note: Elective courses shall be offered depending upon the availability of faculty. Students are required to do internship/thesis in the final year of their BS program.
MS PROGRAM
|
Semester |
Number of Subjects |
Credit Hours Each Semester |
Total Credit Hours |
|
1st |
4 core courses |
3 |
12 |
|
2nd |
2 core courses 2 optional courses |
3 |
12 |
|
|
Thesis/Research Work |
6 |
|
|
Total Credit Hours for MS Statistics |
30 |
||
Core Courses:(3 Credit Hours each)
Stat-501 Mathematical Statistics
Stat-502 Advanced Sampling Techniques
Stat-503 Advanced Statistical Computing (R-Language)
Stat-504 Multivariate Analysis-I
Stat-505 Statistical Inference
Stat-506 Linear Models and Regression Analysis
Stat-507 Probability Distributions-I
Stat-508 Time Series Analysis
Stat-509 Advanced Design of Experiments
Optional Courses: (3 Credit Hours each)
Stat-510 Bio Statistics
Stat-511 Generalized Linear Models
Stat-512 Categorical Data Analysis
Stat-513 Advanced Bayesian Analysis
Stat-514 Applied Stochastic Models
Stat-515 Nonparametric Inference
Stat-516 Survival Data Analysis
Stat-517 Probability Distributions-II
Stat-518 Decision Tree
Stat-519 Research Methods
Time of these courses shall be offered depending upon the availability of faculty.