{"id":84,"date":"2024-08-21T17:48:48","date_gmt":"2024-08-21T12:18:48","guid":{"rendered":"https:\/\/tib.tecnixs.com\/bsc-statistics\/?page_id=84"},"modified":"2025-01-30T12:47:58","modified_gmt":"2025-01-30T07:17:58","slug":"peo-pso-and-po","status":"publish","type":"page","link":"https:\/\/tib.tecnixs.com\/bsc-statistics\/peo-pso-and-po\/","title":{"rendered":"PEO, PSO and PO"},"content":{"rendered":"\n<h3 class=\"wp-block-heading\"><strong>\ud83d\udcca Program Educational Objectives (PEO), Program Outcomes (PO), &amp; Program Specific Outcomes (PSO) | BSc Statistics | MSIT<\/strong><\/h3>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\ud83c\udfaf Program Educational Objectives (PEO)<\/strong><\/h3>\n\n\n\n<p>\u2714 <strong>PEO1<\/strong>: To prepare graduates for <strong>successful careers<\/strong> as <strong>statistical analysts, data scientists, academicians, and researchers<\/strong> in computational and analytical frameworks.<\/p>\n\n\n\n<p>\u2714 <strong>PEO2<\/strong>: To enable graduates to <strong>adapt to evolving statistical and computational technologies<\/strong>, demonstrating <strong>strong analytical, model designing, and data-driven problem-solving skills<\/strong>.<\/p>\n\n\n\n<p>\u2714 <strong>PEO3<\/strong>: To encourage graduates to <strong>pursue lifelong learning<\/strong>, staying updated with <strong>dynamic advancements in statistical methodologies and data science<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\ud83d\udccc Program Outcomes (PO)<\/strong><\/h3>\n\n\n\n<p>Graduates of the <strong>BSc Statistics program at MSIT<\/strong> will be able to:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\ud83d\udd22 Core Statistical &amp; Analytical Skills<\/strong><\/h3>\n\n\n\n<p>\u2714 <strong>PO1 &#8211; Statistical Knowledge<\/strong>: Apply the principles of <strong>probability, statistical inference, and data analysis<\/strong> to solve complex problems.<\/p>\n\n\n\n<p>\u2714 <strong>PO2 &#8211; Problem Analysis<\/strong>: Identify, <strong>formulate, and analyze<\/strong> statistical challenges using <strong>scientific and mathematical principles<\/strong>.<\/p>\n\n\n\n<p>\u2714 <strong>PO3 &#8211; Data Interpretation &amp; Modeling<\/strong>: Design <strong>statistical models and data-driven solutions<\/strong> for real-world applications in <strong>finance, healthcare, business, and technology<\/strong>.<\/p>\n\n\n\n<p>\u2714 <strong>PO4 &#8211; Research &amp; Investigative Skills<\/strong>: Utilize <strong>research-based methods, experimental design, and data interpretation techniques<\/strong> for drawing <strong>valid conclusions<\/strong>.<\/p>\n\n\n\n<p>\u2714 <strong>PO5 &#8211; Modern Tool Usage<\/strong>: Use <strong>statistical software, programming tools (Python, R, SQL), and machine learning models<\/strong> for data-driven decision-making.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\ud83c\udf0d Professional &amp; Ethical Responsibilities<\/strong><\/h3>\n\n\n\n<p>\u2714 <strong>PO6 &#8211; Statistical Impact on Society<\/strong>: Assess the <strong>impact of statistical findings on business, public policy, healthcare, and social sciences<\/strong>.<\/p>\n\n\n\n<p>\u2714 <strong>PO7 &#8211; Sustainability &amp; Ethics<\/strong>: Demonstrate <strong>ethical responsibility in data usage, privacy, and sustainable analytics practices<\/strong>.<\/p>\n\n\n\n<p>\u2714 <strong>PO8 &#8211; Integrity in Statistical Practice<\/strong>: Uphold <strong>ethical standards in statistical reporting and data-driven decision-making<\/strong>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\ud83e\udd1d Teamwork, Communication &amp; Leadership<\/strong><\/h3>\n\n\n\n<p>\u2714 <strong>PO9 &#8211; Individual &amp; Teamwork<\/strong>: Work effectively <strong>individually and within multidisciplinary teams<\/strong> on <strong>data analysis and research projects<\/strong>.<\/p>\n\n\n\n<p>\u2714 <strong>PO10 &#8211; Effective Communication<\/strong>: Present statistical findings <strong>clearly and concisely<\/strong> through <strong>written reports, data visualizations, and presentations<\/strong>.<\/p>\n\n\n\n<p>\u2714 <strong>PO11 &#8211; Project Management &amp; Financial Analysis<\/strong>: Apply <strong>statistical knowledge in business analytics, financial modeling, and market research<\/strong>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\ud83d\udcda Lifelong Learning &amp; Industry Adaptation<\/strong><\/h3>\n\n\n\n<p>\u2714 <strong>PO12 &#8211; Continuous Learning &amp; Innovation<\/strong>: Stay updated with <strong>emerging statistical techniques, AI advancements, and industry trends<\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>\ud83d\udccc Program Specific Outcomes (PSO)<\/strong><\/h3>\n\n\n\n<p>Graduates will be able to:<\/p>\n\n\n\n<p>\u2714 <strong>PSO1 &#8211; Core Competency in Mathematics &amp; Computing<\/strong>: Apply <strong>statistical concepts, probability theory, and computational techniques<\/strong> to develop <strong>advanced analytical models<\/strong>.<\/p>\n\n\n\n<p>\u2714 <strong>PSO2 &#8211; Data-Driven Decision Making<\/strong>: Utilize <strong>statistical tools and machine learning algorithms<\/strong> to identify <strong>optimal solutions for real-world problems<\/strong> in <strong>business, healthcare, and technology<\/strong>.<\/p>\n\n\n\n<p>\u2714 <strong>PSO3 &#8211; Industry &amp; Research Integration<\/strong>: Strengthen <strong>industry-academic collaboration<\/strong> by leveraging <strong>statistical expertise for economic growth, policy-making, and social impact<\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\ud83d\udcca Program Educational Objectives (PEO), Program Outcomes (PO), &amp; Program Specific Outcomes (PSO) | BSc Statistics | MSIT \ud83c\udfaf Program [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"site-sidebar-layout":"left-sidebar","site-content-layout":"","ast-site-content-layout":"","site-content-style":"boxed","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"class_list":["post-84","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/tib.tecnixs.com\/bsc-statistics\/wp-json\/wp\/v2\/pages\/84","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/tib.tecnixs.com\/bsc-statistics\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/tib.tecnixs.com\/bsc-statistics\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/tib.tecnixs.com\/bsc-statistics\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/tib.tecnixs.com\/bsc-statistics\/wp-json\/wp\/v2\/comments?post=84"}],"version-history":[{"count":5,"href":"https:\/\/tib.tecnixs.com\/bsc-statistics\/wp-json\/wp\/v2\/pages\/84\/revisions"}],"predecessor-version":[{"id":964,"href":"https:\/\/tib.tecnixs.com\/bsc-statistics\/wp-json\/wp\/v2\/pages\/84\/revisions\/964"}],"wp:attachment":[{"href":"https:\/\/tib.tecnixs.com\/bsc-statistics\/wp-json\/wp\/v2\/media?parent=84"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}