BS Statistics
|
Course Code |
Course Title |
Credit Hours |
|
Year-I Semester-I |
||
|
GEDU-101 |
Functional English |
3 (3+0) |
|
GEDU-152 |
Ideology and Constitution of Pakistan |
2 (2+0) |
|
GEDU-153 |
Quantitative Reasoning-I |
3 (3+0) |
|
STAT-101 |
Basic Statistics |
4 (4+0) |
|
STAT-102 |
Basic Probability Theory |
3 (3+0) |
|
Total Credits |
15 |
|
|
Semester-II |
||
|
GEDU-151 |
Expository Writing |
3 (3+0) |
|
GEDU-102 |
Islamic Studies OR Religious Education/Ethics |
2 (2+0) |
|
GEDU-104 |
Application of Information and Communication Technologies |
3 (2+1) |
|
STAT-151 |
Introduction to Probability Distributions |
4 (4+0) |
|
STAT-152 |
Applied Statistics |
3 (3+0) |
|
Total Credits |
15 |
|
|
Year-II Semester-III |
||
|
GEDU-*** |
Arts and Humanities |
2 (2+0) |
|
GEDU-251 |
Entrepreneurship |
2 (2+0) |
|
GEDU-252 |
Civics and Community Engagement |
2 (2+0) |
|
STAT-201 |
Basic Statistical Inference |
4 (4+0) |
|
STAT-202 |
Introductory Data Analysis with R |
3 (3+0) |
|
STAT-203 |
Sample Survey |
2 (2+0) |
|
Total Credits |
15 |
|
|
Semester-IV |
||
|
GEDU-*** |
Natural Sciences |
3 (2+1) |
|
GEDU-*** |
Social Sciences |
2 (2+0) |
|
GEDU-201 |
Quantitative Reasoning-II |
3 (3+0) |
|
GEDU-239 |
Pakistan Studies |
2(2+0) |
|
STAT-251 |
Introduction to Regression and Analysis of Variance |
3 (3+0) |
|
STAT-252 |
Statistical Packages |
4 (4+0) |
|
Total Credits |
17 |
|
|
Year-III Semester-V |
||
|
STAT-301 |
Probability & Probability Distribution-I |
3 (3+0) |
|
STAT-302 |
Design & Analysis of Experiments-I |
4 (4+0) |
|
STAT-303 |
Sampling Techniques-I |
4 (4+0) |
|
STAT-304 |
Regression Analysis |
3 (3+0) |
|
AL-MATH-306 |
Differential and Integral Calculus |
3 (3+0) |
|
Total Credits |
17 |
|
|
Semester-VI |
||
|
STAT-351 |
Probability & Probability Distribution-II |
3 (3+0) |
|
STAT-352 |
Design & Analysis of Experiments-II |
4 (4+0) |
|
STAT-353 |
Sampling Techniques-II |
4 (4+0) |
|
AL-MATH-309 |
Linear Algebra and Infinite Series |
3 (3+0) |
|
STAT-499 |
Capstone Project |
3 (3+0) |
|
Total Credits |
17 |
|
|
Year-IV Semester-VII |
||
|
STAT-401 |
Statistical Inference-I |
3 (3+0) |
|
STAT-402 |
Multivariate Analysis |
4 (4+0) |
|
STAT-403 |
Basic Econometrics |
3 (3+0) |
|
AL-ECON-303 |
Fundamental of Economics |
3 (3+0) |
|
STAT-498 |
Internship/Field Experience |
3 (3+0) |
|
Total Credits |
16 |
|
|
Semester-VIII |
||
|
STAT-451 |
Statistical Inference-II |
3 (3+0) |
|
AL-ECON-301 |
Economic Issues in Pakistan |
3 (3+0) |
|
--- |
Major (Chosen from the list of optional Major courses (BS Statistics)) * |
3 (3+0) |
|
--- |
Major (Chosen from the list of optional Major courses (BS Statistics)) * |
3 (3+0) |
|
--- |
Major (Chosen from the list of optional Major courses (BS Statistics)) * |
3 (3+0) |
|
STAT-452 |
Statistical Consulting |
1 (1+0) |
|
Total Credits |
16 |
|
List of Optional Major Courses (BS Statistics)
|
Sr. No. |
Course Code |
Course Title |
Credit Hours |
|
1. |
STAT-453 |
Official Statistics |
3 (3+0) |
|
2. |
STAT-454 |
Categorical Data Analysis |
3 (3+0) |
|
3. |
STAT-455 |
Biostatistics |
3 (3+0) |
|
4. |
STAT-456 |
Statistical Quality Control |
3 (3+0) |
|
5. |
STAT-457 |
R for Data Science |
3 (3+0) |
|
6. |
STAT-458 |
Statistical Machine Learning |
3 (3+0) |
|
7. |
STAT-459 |
Statistical Methods in Data Mining |
3 (3+0) |
|
8. |
STAT-460 |
Reliability Analysis |
3 (3+0) |
|
9. |
STAT-461 |
Decision Theory |
3 (3+0) |
|
10. |
STAT-462 |
Operational Research |
3 (3+0) |
|
11. |
STAT-463 |
Population Studies |
3 (3+0) |
|
12. |
STAT-464 |
Time Series Analysis |
3 (3+0) |
|
13. |
STAT-465 |
Python Fundamentals for Data Science |
3 (3+0) |
|
14. |
STAT-466 |
Non-Parametric Methods |
3 (3+0) |
*The courses will be offered on the availability of concerned faculty member.
BS Computational Statistics and Data Analytics Program
Eligibility Criteria
- Candidates who have studied Mathematics or Statistics of 200 marks at Intermediate level (HSSC)/ A-Level/ Equivalent qualification with at least 50% marks at intermediate level.
- Candidates who have studied FSc Pre-Medical or I.Com at Intermediate level (HSSC) with at least 50% marks at intermediate level.
Duration 4-years
Total Credit Hours 131 CH
Scheme of Studies (BS Computational Statistics and Data Analytics)
|
Course Code |
Course Title |
Credit Hours |
|
Year-I Semester-I |
||
|
GEDU-101 |
Functional English |
3 (3+0) |
|
GEDU-152 |
Ideology and Constitution of Pakistan |
2 (2+0) |
|
GEDU-153 |
Quantitative Reasoning-I |
3 (3+0) |
|
STAT-101 |
Basic Statistics |
4 (4+0) |
|
CSDA*** |
The Theory of Single Variable Calculus |
3 (3+0) |
|
Total Credits |
15 |
|
|
Semester-II |
||
|
GEDU-151 |
Expository Writing |
3 (3+0) |
|
GEDU-102 |
Islamic Studies OR Religious Education/Ethics |
2 (2+0) |
|
GEDU-104 |
Application of Information and Communication Technologies |
3 (2+1) |
|
STAT-151 |
Introduction to Probability Distributions |
4 (4+0) |
|
CSDA*** |
Linear Algebra Tools for Statistics |
3 (3+0) |
|
Total Credits |
15 |
|
|
Year-II Semester-III |
||
|
GEDU-*** |
Arts and Humanities |
2 (2+0) |
|
GEDU-251 |
Entrepreneurship |
2 (2+0) |
|
GEDU-252 |
Civics and Community Engagement |
2 (2+0) |
|
STAT-201 |
Basic Statistical Inference |
4 (4+0) |
|
CSDA*** |
Web Design and Development |
3 (2+1) |
|
STAT-251 |
Introduction to Regression and Analysis of Variance |
3 (3+0) |
|
Total Credits |
16 |
|
|
Semester-IV |
||
|
GEDU-*** |
Social Sciences |
2 (2+0) |
|
GEDU-*** |
Natural Sciences |
3 (2+1) |
|
GEDU-201 |
Quantitative Reasoning-II |
3 (3+0) |
|
GEDU-239 |
Pakistan Studies |
2 (2+0) |
|
STAT-152 |
Applied Statistics |
3 (3+0) |
|
STAT-252 |
Statistical Packages |
4 (4+0) |
|
Total Credits |
17 |
|
|
Year-III Semester-V |
||
|
CSDA*** |
Applied Multivariate Analysis |
3 (3+0) |
|
STAT-454 |
Categorical Data Analysis |
3 (3+0) |
|
CSDA*** |
Applied Regression Analysis |
3 (3+0) |
|
STAT-203 |
Sample Survey |
2 (2+0) |
|
STAT-202 |
Introductory Data Analysis with R |
3 (3+0) |
|
Allied |
Allied I |
3 (3+0) |
|
Total Credits |
17 |
|
|
Semester-VI |
||
|
CSDA*** |
Applied Generalized Linear Models |
3 (3+0) |
|
STAT-457 |
R for data science |
3 (3+0) |
|
STAT-458 |
Statistical Machine Learning |
3 (3+0) |
|
Allied |
Allied II |
3 (3+0) |
|
STAT-499 |
Capstone Project |
3 (3+0) |
|
Total Credits |
15 |
|
|
Year-IV Semester-VII |
||
|
STAT-459 |
Statistical Methods in Data Mining |
3 (3+0) |
|
STAT-465 |
Python Fundamentals for Data Science |
3 (3+0) |
|
CSDA*** |
Big Data Analytics |
3 (3+0) |
|
CSDA*** |
Fundamentals of Deep Learning |
3 (3+0) |
|
Allied |
Allied III |
3 (3+0) |
|
STAT-498 |
Internship/Field Experience |
3 (3+0) |
|
Total Credits |
18 |
|
|
Semester-VIII |
||
|
CSDA*** |
Data Wrangling |
3 (3+0) |
|
Allied |
Allied IV |
3 (3+0) |
|
--- |
Major (Chosen from the list of optional Major courses (BS Computational Statistics and Data Analytics))* |
3 (3+0) |
|
--- |
Major (Chosen from the list of optional Major courses (BS Computational Statistics and Data Analytics))* |
3 (3+0) |
|
--- |
Major (Chosen from the list of optional Major courses (BS Computational Statistics and Data Analytics))* |
3 (3+0) |
|
--- |
Statistical Consultancy |
3(3+0) |
|
Total Credits |
18 |
|
List of Optional Major Courses (BS Computational Statistics and Data Analytics)
|
Course Code |
Course Title |
Credit Hours |
|
STAT-451 |
Statistical Quality control |
3 (3+0) |
|
STAT-460 |
Reliability Analysis |
3 (3+0) |
|
STAT-461 |
Decision Theory |
3 (3+0) |
|
STAT-462 |
Operational Research |
3 (3+0) |
|
STAT-463 |
Population Studies |
3 (3+0) |
|
STAT-464 |
Time Series Analysis |
3 (3+0) |
|
STAT-466 |
Non-Parametric Methods |
3 (3+0) |
*The courses will be offered on the availability of concerned faculty member.
MS Statistics
|
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 |
|
3rd and 4th |
Thesis/Research Work |
6 |
|
|
Total Credit Hours for MS Statistics |
30 |
||
List of Core and Optional Courses (MS)
|
Course Code |
Course Title |
Credit Hours |
|
Core Course |
||
|
STAT-601 |
Mathematical Statistics |
03 |
|
STAT-602 |
Advanced Sampling Techniques |
03 |
|
STAT-603 |
R- Language |
03 |
|
STAT-604 |
Advanced Design and Analysis of Experiments |
03 |
|
STAT-651 |
Linear Models and Regression Analysis |
03 |
|
STAT-652 |
Advanced Probability Theory |
03 |
|
STAT-664 |
Advanced Multivariate Analysis |
03 |
|
STAT-665 |
Advanced Statistical Inference-I |
03 |
|
Optional Courses |
||
|
STAT-654 |
Generalized Linear Models |
03 |
|
STAT-656 |
Survival Analysis |
03 |
|
STAT-657 |
Decision Tree |
03 |
|
STAT-658 |
Advanced Bayesian Analysis |
03 |
|
STAT-659 |
Applied Stochastic Models |
03 |
|
STAT-660 |
Nonparametric Inference |
03 |
|
STAT-661 |
Advanced Distributions Theory |
03 |
|
STAT-662 |
Statistical Collaboration |
03 |
|
STAT-663 |
Spatial Statistics |
03 |
|
STAT-666 |
Advanced Categorical Data Analysis |
03 |
|
STAT-667 |
Applied Bio Statistics |
03 |
|
STAT-668 |
Machine Learning Tools and Application |
03 |
Note: These courses shall be offered at MS level depending upon the availability of faculty.
|
Semester |
Number of Subjects |
Credit Hours Each Course |
Total Credit Hours |
|
1st |
3 courses |
3 |
9 |
|
2nd |
3 courses |
3 |
9 |
|
Total Course Credit Hours for PhD Statistics |
18 |
||
|
3rd to Onward |
Thesis/Research Work |
- |
|
|
Course Code |
Course Title |
Credit Hours |
|
STAT-801 |
Advanced Statistical Computing |
03 |
|
STAT-802 |
Advanced Statistical Inference-II |
03 |
|
STAT-803 |
Advanced Statistical Models |
03 |
|
STAT-804 |
Advanced Theory of Non-Parametric Statistics |
03 |
|
STAT-805 |
Stochastic Processes |
03 |
|
STAT-806 |
Time Series Models and Econometrics |
03 |
|
STAT-808 |
Design and Analysis of Surveys |
03 |
|
STAT-809 |
Advanced Statistical Quality Control |
03 |
|
STAT-810 |
The Demography of Fertility |
03 |
|
STAT-811 |
Analysis of Complex Sample Survey Data |
03 |
|
STAT-812 |
Advanced Survival Analysis |
03 |
|
STAT-813 |
Recent Advances in Sampling Estimators |
03 |