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It includes course titles such as calculus, probability, numerical methods, databases, artificial intelligence, machine learning, and track modules like cell & molecular biology, intro to bioinformatics, systems biology, or managerial accounting, business intelligence, time series forecasting, and analytics for decision making. 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are the sample schedules organized across the academic years?","Question",{"text":63,"@type":64},"Both tracks list courses by terms from Fall 1 through Spring 4, with credit totals summarized for each term.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"What distinguishes the Bioinformatics track from the Business Analytics track?",{"text":68,"@type":64},"The Bioinformatics track adds biology-focused modules such as cell & molecular biology, intro to bioinformatics, systems biology, and computational biology, while the Business Analytics track adds business-focused modules such as managerial accounting and analysis, business intelligence, time series forecasting, and decision-making analytics.",{"name":70,"@type":61,"acceptedAnswer":71},"What types of courses are included in the schedules besides track requirements?",{"text":72,"@type":64},"Each schedule includes foundation courses, data science core courses, general education (Gen-Ed) courses, and free electives.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},289822,1789958630,{"code":4,"msg":82,"data":83},"success",[84,88,92,95,100,105,110,115,120,123,127],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & 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1 | Fall 2 | Spring 2 | Fall 3 | Spring 3 | Fall 4 | Spring 4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Foundation | Freshman Seminar 1 | Freshman Seminar 2 | Armenian Language & Literature 1 | Armenian Language & Literature 2 | Armenian History 1 | Armenian History 2 |  |  |\n| Data Science\u003Cbr>Core | Calculus: Single Variable (4) | Calculus: Multi Variable (4) | Probability | Numerical Methods |  |  |  | Capstone |\n|  | Discrete Math | Introduction to Business | Linear Algebra and ODE (4) | Statistics 1 | Statistics 2 |  |  |  |\n|  | Intro to Computer Science | Programming for Data Science | Data Structures/ Algorithms for\u003Cbr>Data Science (4) | Databases and\u003Cbr>Distributed Systems | Artificial Intelligence |  |  |  |\n|  |  |  |  | Physics & Chemistry in Life Sciences | Data Visualization | Machine Learning |  |  |\n| Bioinformatics\u003Cbr>Track |  |  |  |  | Cell & Molecular Biology | Intro to\u003Cbr>Bioinformatics | Systems Biology | Bioinformatics Elective 2 |\n|  |  |  |  |  |  | Computational Biology | Bioinformatics Elective 1 |  |\n| Gen-Ed | Gen-Ed 1 | Gen-Ed 2 | Gen-Ed 3 |  |  | Gen-Ed 4 | Gen-Ed 5 | Gen-Ed 6 |\n| Free\u003Cbr>Electives |  |  |  |  |  |  | Free Elective 1 | Free Elective 3 |\n|  |  |  |  |  |  |  | Free Elective 2 |  |\n| Total Credits | 16 | 16 | 17 | 15 | 15 | 15 | 15 | 12 |\n\nBachelor of Science in Data Science Sample Schedule of Classes – Business Analytics Track (121 credits)  \n\n|  | Fall 1 | Spring 1 | Fall 2 | Spring 2 | Fall 3 | Spring 3 | Fall 4 | Spring 4 |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Foundation | Freshman Seminar 1 | Freshman Seminar 2 | Armenian Language & Literature 1 | Armenian Language & Literature 2 | Armenian History 1 | Armenian History 2 |  |  |\n| Data Science\u003Cbr>Core | Calculus: Single Variable (4) | Calculus: Multi Variable (4) | Probability | Numerical Analysis |  |  |  | Capstone |\n|  | Discrete Math | Introduction to Business | Linear Algebra and ODE (4) | Statistics 1 | Statistics 2 |  |  |  |\n|  | Intro to Computer Science | Programming for Data Science | Data Structures/ Algorithms for\u003Cbr>Data Science (4) | Databases and\u003Cbr>Distributed Systems | Artificial Intelligence |  |  |  |\n|  |  |  |  | Physics & Chemistry in Life Sciences | Data Visualization | Machine Learning |  |  |\n| Business\u003Cbr>Analytics Track |  |  |  |  | Managerial Accounting and Analysis | Business Intelligence | Analytics for Decision Making | Business\u003Cbr>Analytics Elective |\n|  |  |  |  |  |  | Time Series\u003Cbr>Forecasting | Business Analytics Elective 1 |  |\n| Gen-Ed | Gen-Ed 1 | Gen-Ed 2 | Gen-Ed 3 |  |  | Gen-Ed 4 | Gen-Ed 5 | Gen-Ed 6 |\n| Free\u003Cbr>Electives |  |  |  |  |  |  | Free Elective 1 | Free Elective 3 |\n| Free\u003Cbr>Electives |  |  |  |  |  |  | Free Elective 2 |  |\n| Total Credits | 16 | 16 | 17 | 15 | 15 | 15 | 15 | 12 |","cbCainsZ4wjswksw","https://ap.wps.com/l/cbCainsZ4wjswksw","pdf",56360,"English","# Bioinformatics Track Sample Schedule\n## Foundation Courses\n## Data Science Core Courses\n## Bioinformatics Track Courses\n## Gen-Ed and Free Electives\n## Term Credits Summary\n# Business Analytics Track Sample Schedule\n## Foundation Courses\n## Data Science Core Courses\n## Business Analytics Track Courses\n## Gen-Ed and Free Electives\n## Term Credits Summary","[{\"question\":\"How are the sample schedules organized across the academic years?\",\"answer\":\"Both tracks list courses by terms from Fall 1 through Spring 4, with credit totals summarized for each term.\"},{\"question\":\"What distinguishes the Bioinformatics track from the Business Analytics track?\",\"answer\":\"The Bioinformatics track adds biology-focused modules such as cell \\u0026 molecular biology, intro to bioinformatics, systems biology, and computational biology, while the Business Analytics track adds business-focused modules such as managerial accounting and analysis, business intelligence, time series forecasting, and decision-making analytics.\"},{\"question\":\"What types of courses are included in the schedules besides track requirements?\",\"answer\":\"Each schedule includes foundation courses, data science core courses, general education (Gen-Ed) courses, and free electives.\"}]","Bachelor of Science in Data Science Sample Schedule of Classes - Bioinformatics Track - 121 credits | PDF",1789637446]