Chairperson: Najeeb Mahmood Khan
OVERVIEW
The department has long acknowledged how statistical theory and applications are related. This has been facilitated by the department’s support of collaboration with other divisions through joint participation in a vision, including Biomedical Data Science, Bio-X, Centre for Computational, Evolutionary and Human Genomics, Computer Science, Data Science, Economics, Education, Electrical Engineering, Earth System Science, Genetics, Mathematics, Mathematical and Computational Finance, and Medicine. The department’s research initiatives show a passion for both theoretical and practical statistics and probability. Workshops in biology, medicine, and environmental health are to be introduced.
The department offers a number of service courses created for students in other departments in addition to courses specifically for Statistics students. These frequently highlight the use of modeling and computer applications in statistics.
VISION
- To establish criteria, foster conditions that will allow students to embark on an unmatched educational adventure that will transform them academically, socially, and worldwide.
- To increase the interdisciplinary nature of research through working with other departments as well as with local, national, and worldwide universities and research institutions.
- To concentrate on the most cutting-edge research fields that use big data, machine learning, and related data science subjects.
MISSION STATEMENT
- To introduce students to the significance of probabilistic concepts in contemporary science and technology, as well as descriptive and inferential statistical theories.
- To provide comprehensive knowledge on the theory and practice of contemporary statistical methods that are frequently employed for (big) data analytics.
- To deliver efficient supervisory training for the fundamental and practical research that expands our understanding of statistics and data science.
GOALS
To provide pupils with the necessary numeric abilities so they may use and expand on them in a variety of ways.
Teaching Faculty
BS (4 Years) in Statistics
BS (2.5 Years) in Statistics
M. Phil. in Statistics
M. Phil. in Actuarial Sciences
M. Phil. in Data Analysis
- E-Lab
- Upgraded Computer Lab
- Digital Library