Second Floor, Zakir Hussain Block, Old Campus
041-9201461 stat@gcuf.edu.pk
Scheme of Studies
Course Outlines
BS Statistics
Semester 1
STA-301
Introduction to Statistics
4(3-1)
CSI-321
Introduction to Computing Applications
3(3-0)
MTH-321
Mathematics-I
3(3-0)
ENG-321
Functional English
3(3-0)
ISL-321
Islamic Studies /Ethics
2(2-0)
Semester 2
STA-302
Introduction to Probability Distributions
4(3-1)
MTH-322
Mathematics-II
3(3-0)
PST-321
Pakistan Studies
2(2-0)
ECO-321
Introductory Economics
4(4-0)
ENG-322
English Comprehension and Composition
3(3-0)
Semester 3
STA-401
Basic Statistical Inference
4(3-1)
CSI-301
Programming Fundamentals
4(3-1)
MTH-433
Mathematical Methods & Vector Analysis
4(4-0)
ECO-408
Issues in Pakistan Economy
3(3-0)
ENG-421
Communication Skills
3(3-0)
Semester 4
STA-402
Introduction to Regression analysis, ANOVA and ANCOVA
4(3-1)
STA-404
Applied Statistics
4(3-1)
STA-406
Statistical Software-I
3(0-3)
MTH-436
Linear Programming
4(4-0)
Semester 5
STA-501
Probability and Probability Distributions-I
3(3-0)
STA-503
Sampling Techniques-I
3(3-0)
CSI-509
Introduction to Database Systems
3(1-2)
STA-505
Statistical Methods
4(4-0)
STA-507
Operational Research
3(3-0)
Semester 6
STA-502
Probability and Probability Distributions-II
3(3-0)
STA-504
Sampling Techniques-II
3(3-0)
STA-506
Design and Analysis of Experiments-I
4(4-0)
STA-508
Population Studies
2(2-0)
STA-510
Statistical Quality Control
3(3-0)
OR
STA-512
Non Parametric Methods
3(3-0)
STA-514
Survey Research Methods
3(3-0)
Semester 7
STA-601
Econometrics-I
4(4-0)
STA-603
Design and Analysis of Experiments-II
4(4-0)
STA-605
Multivariate Analysis-I
3(3-0)
STA-607
Statistical Inference - I
3(3-0)
STA-629
Seminar
1(0-1)
STA-611
Statistical Software-II
3(0-3)
Semester 8
STA-602
Econometrics-II
4(4-0)
STA-604
Statistical Software - III
3(0-3)
STA-606
Multivariate Analysis-II
3(3-0)
STA-608
Statistical Inference - II
3(3-0)
STA-630
Research Report
4(0-4)
OR Any One of The Following Courses
STA-612
Analysis of Time Series and Forecasting
4(4-0)
STA-614
Categorical Data Analysis
4(4-0)
STA-616
Survival Data Analysis
4(4-0)
MSc Statisticss
Semester 1
STA-551
Probability and Probability Distributions-I
3(3-0)
STA-553
Sampling Techniques-I
3(3-0)
CSI-321
Introduction to Computing Applications
3(1-2)
STA-555
Statistical Methods
4(4-0)
STA-557
Operational Research
3(3-0)
Semester 2
STA-552
Probability and Probability Distributions-II
3(3-0)
STA-554
Sampling Techniques-II
3(3-0)
STA-556
Design and Analysis of Experiments-I
4(4-0)
STA-558
Population Studies
2(2-0)
STA-560
Statistical Quality Control
3(3-0)
OR
STA-562
Non Parametric Methods
3(3-0)
STA-564
Survey Research Methods
3(3-0)
Semester 3
STA-651
Econometrics-I
4(4-0)
STA-653
Design and Analysis of Experiments-II
4(4-0)
STA-655
Multivariate Analysis-I
3(3-0)
STA-657
Statistical Inference - I
3(3-0)
STA-629
Seminar
1(0-1)
STA-661
Statistical Software - I
3(0-3)
Semester 4
STA-652
Econometrics-II
4(4-0)
STA-654
Statistical Software - II
3(0-3)
STA-656
Multivariate Analysis-II
3(3-0)
STA-658
Statistical Inference - II
3(3-0)
STA-680
Research Report
4(0-4)
OR Any One of The Following Courses
STA-662
Analysis of Time Series and Forecasting
4(4-0)
STA-664
Categorical Data Analysis
4(4-0)
STA-666
Survival Data Analysis
4(4-0)
MPhil Statistics
Year-I (Course Work)
(course comprising 12 credit hours are to be selected in each Semester of Year -I)
STA-701
Advanced Sampling Techniques
3(3-0)
STA-702
Multivariate Analysis
3(3-0)
STA-703
Probability Distributions
3(3-0)
STA-704
Advanced Design of Experiments
3(3-0)
STA-705
Linear Models and Regression Analysis
3(3-0)
STA-706
Research Methods
3(3-0)
STA-707
Optimization Techniques
3(3-0)
STA-708
Bayesian Analysis
3(3-0)
STA-709
Advanced Econometric Analysis
3(3-0)
STA-710
Generalized Linear Models
3(3-0)
STA-711
Advanced Probability Theory
3(3-0)
STA-712
Statistical Inference
3(3-0)
STA-713
Categorical Data Analysis
3(3-0)
STA-714
Survival Data Analysis
3(3-0)
STA-715
Time Series and Forecasting
3(3-0)
STA-716
Biostatistics
3(3-0)
STA-717
Population Analysis and Official Statistics
3(3-0)
STA-718
Advanced Response Surface Methodology
3(3-0)
STA-719
Applied Stochastic Models
3(3-0)
STA-720
Bayesian Decision Theory
3(3-0)
STA-721
Mixture Distributions
3(3-0)
STA-722
Advanced Statistical Computing
3(3-0)
STA-723
Non-Parametric and Robust Methods
3(3-0)
Semester 3 & 4
STA-728
Seminar
1(1-0)
STA-730
Thesis
6(0-6)
Vision
To disseminate quality education and produce quality research in different areas of Statistics and to produce highly skilled professional, scholars and researchers equipped with adequate knowledge of statistics to meetthe contemporary and futurechallenges.
Mission
The mission of the Department of Statistics is to contribute to the overall objectives of the Government College University, Faisalabad and the Affiliated Colleges, Science, and the Arts through excellence in research and education in the Statistical Sciences and through service to the university community, statistical profession, and society at large.The proliferation of quantitative information in society demands that we help to develop the next generation of statistics professionals while increasing the statistical literacy of our students and the frequency of collaboration with our colleagues.
Introduction
Statistical methods and the application of probability theory are essential to the understanding of data and underlying processes in a very wide variety of fields, including health sciences, economics and finance, social science,government, engineering, biological and physical sciences. In Government College, Faisalabad the Department of Statistics was established in 1960. Initially intermediate and degree classes were started. In October, 2002 the college was upgraded to University and a 2 year Master degree program was launched in September, 2003. BS (Hons.) a 4 year degree program was launched in September, 2005; the Department took the initiative of launching the MPhil (Statistics) program in 2012. Currently 250 students are enrolled in different programs being offered by the Department of Statistics.
Statistical computations contribute as a major player to meet the demand of the students and requirements of extended research activities in the graduate and post graduate courses. Statistics is considerably more applied and vocational than many other courses. It aims to produce students who can immediately work as applied statisticians. Whereas all theoretical concepts are covered, the emphasis throughout is on applying and adapting it to real-life circumstances. The analysis of real data sets constitutes the core of the courses and pivotal role of the computer as a powerful tool in modern statistics is constantly emphasized throughout the programs being offered. Weekly assignments/practical work makes extensive use of standard statistical packages including Minitab, SPSS, EViews, R, Mathematica, Design Expert etc. The graduated students are employed in reputable Public and private sector organizations like Federal and Provincial Bureaus of Statistics, National Universities, State Bank of Pakistan, Pharmaceutical Industries, Government offices, Commercial Banks, and many other firms and organizations.
