BS Statistics

The newly introduced BS Statistics program at the Department of Natural Sciences, Begum Nusrat Bhutto Women University, Sukkur, Sindh, presents significant opportunities for women both within Pakistan and internationally. In Pakistan, there is a growing recognition of the value of data-driven decision-making across various sectors including government, healthcare, education, and business. With the rapid digital transformation, organizations are increasingly seeking professionals skilled in statistical analysis to drive strategic initiatives. This creates a robust demand for female statisticians who can contribute to diverse fields such as market research, public policy, and health statistics.
Globally, the scope of a BS in Statistics is vast and continually expanding. The rise of big data, artificial intelligence, and machine learning has intensified the need for statistical expertise in technology hubs around the world. Women equipped with a solid foundation in statistics are well-positioned to enter high-paying roles in tech companies, research institutions, financial services, and international organizations. Furthermore, the emphasis on diversity and inclusion in workplaces worldwide is opening doors for women in STEM fields, encouraging gender balance and offering equal opportunities for career advancement.
This program not only empowers women with technical skills but also enhances their analytical and problem-solving abilities, making them valuable assets in any professional setting. By pursuing a BS in Statistics, women can contribute meaningfully to scientific research, policy formulation, and business strategies, thereby playing a crucial role in the socio-economic development of Pakistan and beyond.

The BS Statistics program aims to provide a dynamic and supportive environment for students to actively and exploratively learn fundamental and advanced statistical concepts. The graduates of BS Statistics are expected to accomplish the following PEOs:
PEO - 1: Lifelong Learning in Statistics
To equip graduates with an intellectually stimulating and satisfying lifelong learning experience in the field of statistics, encouraging continuous personal and professional development.
PEO - 2: Technical Competency and Leadership
Graduates will demonstrate technical competency and leadership, becoming proficient statisticians, analysts, and researchers who can lead successful careers in various industries.
PEO - 3: Commitment to Societal Betterment
Graduates will demonstrate a commitment to sustainable development and ethical practices, using their statistical expertise to contribute positively to society and address social challenges.
PEO - 4: Innovation and Complex Problem-Solving
Graduates will pursue lifelong learning and generate innovative solutions to complex problems through research, critical thinking, and advanced statistical methodologies.

Students will demonstrate an understanding of the often complex and dynamic environments faced by organizations requiring statistical expertise and the knowledge and skills required to manage and lead those organizations through the following:
PLO - 1: Understanding Statistical Methodology
Develop a grasp of statistical methodology, understanding how data collection, analysis, and interpretation work together to achieve insights into various phenomena.
PLO - 2: Statistical Intuition and Critical Thinking
Develop sufficient statistical intuition, including the ability to estimate an approximate answer to a statistical problem and recognize whether the result of an analysis makes practical and theoretical sense.
PLO - 3: Application of Statistical Principles
Know and be able to apply the fundamental principles of statistics, including probability theory, hypothesis testing, regression analysis, and experimental design.
PLO - 4: Mathematical Foundations for Statistics
Know and be able to apply basic mathematical tools commonly used in statistics, including differential and integral calculus, linear algebra, and probability distributions.
PLO - 5: Proficiency in Data Analysis Techniques
Become proficient in using basic and advanced data analysis techniques, including distinguishing between types of errors, understanding error propagation, and representing data graphically.
PLO - 6: Comprehensive Statistical Knowledge
Acquire comprehensive knowledge and be able to solve textbook and real-world problems in various domains of statistics, including descriptive statistics, inferential statistics, and multivariate analysis.
PLO - 7: Advanced Statistical Tools and Techniques
Be able to use more advanced statistical tools and techniques, including time series analysis, Bayesian statistics, machine learning algorithms, and non-parametric methods.
PLO - 8: Computational Proficiency
Be able to use basic and advanced computational techniques for modeling statistical problems and solving them using statistical software and programming languages such as R, Python, SPSS, STATA, Minitab, Matlab and SAS.

Program Details


Scheme of Studies

BS Statistics

Degree Title

BS Statistics

Duration of Program

The duration of the program is a minimum of 4 years

Fees Structure

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