π Program Educational Objectives (PEO), Program Outcomes (PO), & Program Specific Outcomes (PSO) | BSc Statistics | MSIT
π― Program Educational Objectives (PEO)
β PEO1: To prepare graduates for successful careers as statistical analysts, data scientists, academicians, and researchers in computational and analytical frameworks.
β PEO2: To enable graduates to adapt to evolving statistical and computational technologies, demonstrating strong analytical, model designing, and data-driven problem-solving skills.
β PEO3: To encourage graduates to pursue lifelong learning, staying updated with dynamic advancements in statistical methodologies and data science.
π Program Outcomes (PO)
Graduates of the BSc Statistics program at MSIT will be able to:
π’ Core Statistical & Analytical Skills
β PO1 – Statistical Knowledge: Apply the principles of probability, statistical inference, and data analysis to solve complex problems.
β PO2 – Problem Analysis: Identify, formulate, and analyze statistical challenges using scientific and mathematical principles.
β PO3 – Data Interpretation & Modeling: Design statistical models and data-driven solutions for real-world applications in finance, healthcare, business, and technology.
β PO4 – Research & Investigative Skills: Utilize research-based methods, experimental design, and data interpretation techniques for drawing valid conclusions.
β PO5 – Modern Tool Usage: Use statistical software, programming tools (Python, R, SQL), and machine learning models for data-driven decision-making.
π Professional & Ethical Responsibilities
β PO6 – Statistical Impact on Society: Assess the impact of statistical findings on business, public policy, healthcare, and social sciences.
β PO7 – Sustainability & Ethics: Demonstrate ethical responsibility in data usage, privacy, and sustainable analytics practices.
β PO8 – Integrity in Statistical Practice: Uphold ethical standards in statistical reporting and data-driven decision-making.
π€ Teamwork, Communication & Leadership
β PO9 – Individual & Teamwork: Work effectively individually and within multidisciplinary teams on data analysis and research projects.
β PO10 – Effective Communication: Present statistical findings clearly and concisely through written reports, data visualizations, and presentations.
β PO11 – Project Management & Financial Analysis: Apply statistical knowledge in business analytics, financial modeling, and market research.
π Lifelong Learning & Industry Adaptation
β PO12 – Continuous Learning & Innovation: Stay updated with emerging statistical techniques, AI advancements, and industry trends.
π Program Specific Outcomes (PSO)
Graduates will be able to:
β PSO1 – Core Competency in Mathematics & Computing: Apply statistical concepts, probability theory, and computational techniques to develop advanced analytical models.
β PSO2 – Data-Driven Decision Making: Utilize statistical tools and machine learning algorithms to identify optimal solutions for real-world problems in business, healthcare, and technology.
β PSO3 – Industry & Research Integration: Strengthen industry-academic collaboration by leveraging statistical expertise for economic growth, policy-making, and social impact.