[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-239912-105":53,"doc-detail-239912-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","masters-in-business-analytics-career-readiness-curriculum","Masters In Business Analytics - Career Readiness Curriculum","","Course curriculum for a Masters in Business Analytics program covering business analytics foundations through advanced data and delivery skills. Modules include statistics for decision-making, SQL for data extraction, and data visualization dashboards using Power BI or Tableau. It further covers Python for analytics, predictive analytics and machine learning basics, and a capstone project tied to career readiness. The curriculum also includes IT industry fundamentals, business analysis essentials, business process analysis, requirements engineering and management, stakeholder analysis, UML modeling, and Microsoft Visio tooling.",{"@graph":63,"@context":123},[64,80,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":11,"@type":70,"position":76},"https://docshare.wps.com/template/presentations/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/masters-in-business-analytics-career-readiness-curriculum/239912/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/masters-in-business-analytics-career-readiness-curriculum/239912.png","ImageObject",442,249,{"name":88,"@type":89},"Taylor Morgan","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-11-04","2026-09-11",true,{"@type":98,"interactionType":99,"userInteractionCount":101},"InteractionCounter",{"@type":100},"ViewAction",20,{"@type":103,"mainEntity":104},"FAQPage",[105,111,115,119],{"name":106,"@type":107,"acceptedAnswer":108},"What are the main topics covered in the Masters in Business Analytics modules?","Question",{"text":109,"@type":110},"The program covers business analytics introduction, statistics for decisions, SQL for data extraction, and dashboarding with Power BI or Tableau, followed by Python for analytics and predictive analytics/machine learning basics.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"How does the curriculum support skill evaluation and practical learning?",{"text":114,"@type":110},"It uses assessment through real-time case studies and assignments, plus live projects on domain-specific industrial work to make experience relevant.",{"name":116,"@type":107,"acceptedAnswer":117},"Which tools and modeling standards are included for IT business analysis work?",{"text":118,"@type":110},"The curriculum includes UML, Microsoft Visio, BPMN, and requirement/support tooling concepts such as mapping, modeling, and traceability matrices, along with example requirements tools like JIRA and Rational Requisite Pro.",{"name":120,"@type":107,"acceptedAnswer":121},"What does the capstone and career readiness component involve?",{"text":122,"@type":110},"The capstone project & career readiness module focuses on applying learning outcomes and preparing for career progression, aligned with the broader structure of practical projects and assessments.","https://schema.org",{"og:url":78,"og:type":125,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":127,"canonical":78},"index,follow",{"doc_id":129,"site_id":56},239912,1791223003,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":88,"user_avatar":134,"doc_module":9,"category_id":8,"category_name":11,"doc_title":59,"doc_description":61,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":101,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":45,"language":140,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":61,"update_tm":144,"read_time":145},1099523885336,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","Course Curriculum  \nMASTERS IN  \nBUSINESS ANALYTICS  \nProgram INDEX  \nModule 1: Introduction to Business Analytics  \n Module 2: Statistics for Business Decision-Making  \n Module 3: SQL for Data Extraction  \n Module 4: Data Visualization & Dashboarding with Power BI / Tableau  \n Module 5: Python for Business Analytics  \nModule 6: Predictive Analytics & Machine Learning Basics  \n Module 7: Capstone Project & Career Readiness  \n[00 | www.cromacampus.com](00 | www.cromacampus.com)  \nLearning Curve  \nPowerBI  \nMachine Learning  \nPython Seaborn  \nPandas NumPy  \nMatplotlib  \nMaster Certificate  \nModules of Masters in Business Analytics  \n Introduction to Business Analytics  \n Excel for Business Analytics  \n Statistics for Business Decision-Making  \n SQL for Data Extraction  \n Data Visualization & Dashboarding with Power BI / Tableau  Python for Business Analytics  \n Predictive Analytics & Machine Learning Basics  \n Capstone Project & Career Readiness  \n[00 | www.cromacampus.com](00 | www.cromacampus.com)  \nTransition Process  \nLEARNING PHASE  \nLearn updated tools and modules from basic to advance by industry expert  \nASSESSMENT  \nEvaluate your skillset with real-time case studies and assignments  \n LIVE PROJECTS  \nWork on domain specific industrial projects and make your experience relevant  \nUNLIMITED INTERVIEW CALLS  \nGet Guaranteed Job Interview calls from FinTech Startups and top MNCs  \n[00 | www.cromacampus.com](00 | www.cromacampus.com)  \nModule 01: IT Industry Fundamentals for Business Analysts  \n Software Development Life Cycle  \n Software Development Methodologies – Water Fall, Iterative, Agile, Etc.  \n Types Of Software Projects – Greenfield, Migration, Product Customization, Maintenance Etc.  \n IT Implementation  \n IT Deployment Environments – SAAS, On Premise, Client Server Etc.  \n Software Licensing, Subscription And Sale Models  \n Project Development Vs Product Development  \n RUP, DevOps Methodologies  \n Cloud Service And Deployment Models-Public, Private, Hybrid, Community, IAAS, PAAS,  \n SAAS  \n Module 02: Business Analysis Essentials  \n Activities Of An IT Business Analyst  \n Analysis, Business Analysis, IT Business Analysis Defined  \n Objectives Of Business Analysis  \n Who Is An IT Business Analyst  \n Business Analysis Levels Or Views-Process, Project, Enterprise And Industry  \n Business Analysis Framework And Techniques  \n IT Business Analysis Software  \n IT Business Analyst Skills  \n IT Business Analyst Career Path And Salaries  \n Meet Some Real Business Analysts  \n Module 03: Business Process Analysis  \n What Is A Business Process  \n Critical Analysis Of A Business Process  \n Business Process Analysis Sparx System Framework  \n Business Process Mapping & Flow Charting  \n As Is – To Be Analysis For A Business Process  \n Business Process Mapping And Modelling Frameworks  \n Business Process Mapping And Modelling Software  \n Business Process Re-Engineering & Re-Design  \n Business Process Automation, Disinter Mediation And ReIntermediation  \n Business Process Simulation  \nModule 04: Requirements Process-The Core of Business Analysis Activity  \nWhat Is A Requirement  \n Attributes Of Requirements  \n Importance Of Requirements For IT Projects  \n Types Of Requirements: Business, Enterprise, Solution, Stakeholder, Transition  \n Overview Of Requirements Engineering And Management  \n Requirements Basics: Mapping, Modelling, Traceability Matrix, Tracking  \n Business Process Re-Engineering & Re-Design  \n Important Requirement Process Steps: Elicitation, Analysis, Documentation, Validation,  \n Management  \n Requirement Software Companies-JIRA, Rational Requisite Pro  \nModule 05: Stakeholder Analysis and Management  \n Stakeholder Definition  \n Importance Of Stakeholder  \n Stakeholder Identification – Onion Diagram  \n Stakeholder Identification – Wheel  \n Stakeholder Classification – Power Influence Matrix  \n Stakeholder Engagement Techniques – Power/Influence Vs Interest  \n Stakeholder RACI Chart, Its Preparation Through Visio  \n S","cbCaigb4JxgduCai","https://ap.wps.com/l/cbCaigb4JxgduCai","pdf",3303552,"English","# Module 1: Introduction to Business Analytics\n## Statistics for Business Decision-Making\n## SQL for Data Extraction\n## Data Visualization & Dashboarding with Power BI / Tableau\n# Module 2: Python and Predictive Analytics\n## Python for Business Analytics\n## Predictive Analytics & Machine Learning Basics\n## Capstone Project & Career Readiness\n# Core IT Business Analysis Modules\n## IT Industry Fundamentals for Business Analysts\n## Business Analysis Essentials\n## Business Process Analysis\n## Requirements Process for Business Analysis Activity\n## Stakeholder Analysis and Management\n## UML for the Business Analyst\n## Microsoft Visio for the Business Analyst\n## Business Process Model and Notation (BPMN)","[{\"question\":\"What are the main topics covered in the Masters in Business Analytics modules?\",\"answer\":\"The program covers business analytics introduction, statistics for decisions, SQL for data extraction, and dashboarding with Power BI or Tableau, followed by Python for analytics and predictive analytics/machine learning basics.\"},{\"question\":\"How does the curriculum support skill evaluation and practical learning?\",\"answer\":\"It uses assessment through real-time case studies and assignments, plus live projects on domain-specific industrial work to make experience relevant.\"},{\"question\":\"Which tools and modeling standards are included for IT business analysis work?\",\"answer\":\"The curriculum includes UML, Microsoft Visio, BPMN, and requirement/support tooling concepts such as mapping, modeling, and traceability matrices, along with example requirements tools like JIRA and Rational Requisite Pro.\"},{\"question\":\"What does the capstone and career readiness component involve?\",\"answer\":\"The capstone project \\u0026 career readiness module focuses on applying learning outcomes and preparing for career progression, aligned with the broader structure of practical projects and assessments.\"}]","Masters In Business Analytics - Career Readiness Curriculum | PDF",1789154795,7]