The BS Statistics and Data Analytical Science is a four-year professional degree program providing a rigorous foundation in mathematical theory, statistical modeling, and computational analysis. The curriculum features specialized tracks in Applied Econometrics, Biostatistics, and Predictive Analytics, developed in alignment with global data industry standards to ensure graduates are equipped for the evolving demands of big data. Knowledge is imparted through a blend of theoretical lectures and extensive practical training, utilizing modern analytical software, real-world datasets, and collaborative research projects to bridge the gap between academic theory and industrial application.
At least 50% marks in Intermediate (HSSC) examination with Mathematics (200 Marks) or equivalent qualification with Mathematics, certified by IBCC.
ORAt least 50% marks in Intermediate (HSSC) examination with Pre-Medical or equivalent qualification, certified by IBCC.
Note: Students with pre-medical must have to pass deficiency courses of Mathematics of 6 credit hours in the first two semesters.
PO 1: Computing knowledge, skills, and creativity: Demonstrate computing knowledge and skills with a strong focus on innovation, entrepreneurship and life-long learning.
PO 2: Ethics and social responsibility: Have ethical and moral values along with a keen sense of social responsibility.
PO 3: Communication and Leadership Skills: Have effective communication skills required in the computing profession, as a team player or a leader for industry and society.
GA 1: Academic Education : Prepare graduates having educational depth and breadth knowledge and prepare Computing professionals.
GA 2: Knowledge for Solving Computing Problems: Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.
GA 3: Problem Analysis: Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
GA 4: Design/ Development of Solutions: Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations
GA 5: Modern Tool Usage: Create, select, adapt, and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
GA 6: Individual and Teamwork Function effectively as an individual and as a member or leader in diverse teams and in multi-disciplinary settings.: An ability to apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice and solution to complex engineering problems.
GA 7: Communication:Communicate effectively with the computing community and with society at large about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.
GA 8: Computing Professionalism and Society: Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.
GA 9: Ethics: Understand and commit to professional ethics, responsibilities, and norms of professional computing practice.
GA 10: Life-long Learning: Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.