{"id":226,"date":"2022-06-21T14:23:27","date_gmt":"2022-06-21T18:23:27","guid":{"rendered":"https:\/\/www.citadel.edu\/mathsci\/?page_id=226"},"modified":"2025-08-20T10:02:51","modified_gmt":"2025-08-20T14:02:51","slug":"math_data_analytics","status":"publish","type":"page","link":"https:\/\/www.citadel.edu\/mathsci\/programs-of-study\/math_data_analytics\/","title":{"rendered":"Mathematics (Concentration in Data Analytics), B.S."},"content":{"rendered":"\n
\n
\n
\"Professor<\/figure>\n<\/div>\n\n\n\n
\n

Earn your Mathematics (Concentration in Data Analytics) Degree<\/h2>\n\n\n\n

The concentration in Data Analytics prepares majors with additional skills in statistical modeling (linear or non-linear), processing massive data analytically, and decision-making from the data processing outcomes.  <\/p>\n<\/div>\n<\/div>\n\n\n\n

As the 21st century is a data and high-technology century, there is a strong demand for graduates with mathematical, statistical and data analytical skills in many STEM and business sections within the public and private sectors. <\/p>\n\n\n\n

Structure of the Major<\/h3>\n\n\n\n

The BS in Mathematics with the concentration in Data Analytics provides students with up-to-date methods, technologies and developments in the fields of data-driven mathematical and statistical modeling and critical decision-making.\u00a0The BS in Mathematics and the BS in Mathematics with a concentration in Data Analytics both require a total of 123 hours. The concentration program allows the students to take courses like: CSCI 320 (Database Design) and CSCI 350 (Data Mining) and four statistics and data analysis courses: \u00a0STAT 362 (Experimental Design), STAT 366 (Applied Statistics), STAT 451 (Statistical Learning for Data Analytics) and STAT 461 (Data Analysis).<\/p>\n\n\n\n

\"Examples<\/figure>\n\n\n\n

Course breakdown by year:
[Freshman] [Sophomore<\/a>] [Junior<\/a>] [Senior<\/a>]<\/p>\n\n\n\n

Freshman Year<\/h3>\n\n\n\n
Introduction to the Practice of Mathematics<\/td>MATH 121<\/a><\/td>3<\/td>(3,0)<\/td><\/tr>
Analytic Geometry and Calculus I<\/td>MATH 131<\/a><\/a><\/td>4<\/td>(4,0)<\/td><\/tr>
Freshman Science, Biology, Chemistry or Physics**<\/td> <\/td>4<\/td>(4,0)<\/td><\/tr>
A Modern Language<\/td> <\/td>3<\/td>(3,0)<\/td><\/tr>
1st Year Basic ROTC<\/td> <\/td> <\/td> <\/td><\/tr>
Required Physical Education<\/td>RPED 250<\/td>2<\/td>(2,0)<\/td><\/tr>
First Year Seminar<\/td>LDRS 101<\/td>1<\/td>(1,0)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
Analytic Geometry and Calculus II<\/td>MATH 132<\/a><\/td>4<\/td>(4,0)<\/td><\/tr>
Freshman Seminar<\/td>FSEM 101<\/td>3<\/td>(3,0)<\/td><\/tr>
Linked Composition <\/td>FSWI 101<\/td>3 <\/td> (3,0)<\/td><\/tr>
A Modern Language<\/td> <\/td>3<\/td>(3,0)<\/td><\/tr>
Introduction to Programming with Python<\/td>CSCI 205<\/td>4<\/td>(4,0)<\/td><\/tr>
Freshman Ethical Fitness Seminar<\/td> LDRS 111<\/td> 0<\/td> (1,0)<\/td><\/tr>
1st Year Basic ROTC<\/td> <\/td> <\/td> <\/td><\/tr>
Required Physical Education<\/td>RPED 251<\/td>2<\/td>(2,0)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Sophomore Year<\/h3>\n\n\n\n
Analytic Geometry and Calculus III<\/td>MATH 231<\/a><\/td>4<\/td>(4,0)<\/td><\/tr>
Introduction to Discrete Structures<\/td>MATH 206<\/a><\/td>3<\/td>(3,0)<\/td><\/tr>
Strand English<\/td> <\/td>3<\/td>(3,0)<\/td><\/tr>
General Elective<\/td> <\/td>3<\/td>(3,0)<\/td><\/tr>
2nd Year Basic ROTC<\/td> <\/td> <\/td> <\/td><\/tr>
Health Fitness<\/td>RPED 260<\/td>0<\/td>(0,1)<\/td><\/tr>
Sophomore Seminar in Principal Leadership<\/td>LDRS 201<\/td>1
0<\/td>		(1,0)
(0,1)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
Applied Mathematics I<\/td>MATH 234<\/a><\/td>4<\/td>(4,0)<\/td><\/tr>
Linear Algebra<\/td>MATH 240<\/a><\/td>3<\/td>(3,0)<\/td><\/tr>
Intro to Probability and Statistics<\/td>STAT 261<\/a><\/td>3<\/td>(3,0)<\/td><\/tr>
Strand Science**<\/td> <\/td> 3<\/td> (3,0)<\/td><\/tr>
Sophomore Seminar Service Learning Lab<\/td>LDRS 211<\/td>1
0<\/td>		(1,0)
(0,1)<\/td><\/tr>
2nd Year Basic ROTC<\/td> <\/td> <\/td> <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

 Junior Year<\/h3>\n\n\n\n
Mathematical Models and Applications<\/td>MATH 47<\/a>0<\/a><\/a><\/td>3<\/td>(3,0)<\/td><\/tr>
Data Mining<\/td>CSCI 350<\/td>3<\/td>(3,0)<\/td><\/tr>
Applied Statistics<\/td>STAT 366<\/a><\/td>3<\/td>(3,0)<\/td><\/tr>
Professional Communication<\/td>COMM 260 <\/td>3<\/td>(3,0)<\/td><\/tr>
Leadership in Organizations<\/td> LDRS 371<\/td>3<\/td>(3,0)<\/td><\/tr>
Junior Ethics Enrichment Experience<\/td> LDRS 311<\/td>3<\/td>(3,0)<\/td><\/tr>
1st Year Advanced ROTC<\/td> <\/td> <\/td> <\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
Experimental Design<\/td>STAT 362<\/a><\/td>3<\/td>(3,0)<\/td><\/tr>
Database Design<\/td>CSCI 320<\/td>3<\/td>(3,0)<\/td><\/tr>
Strand Elective 3<\/td><\/td>3<\/td>(3,0)<\/td><\/tr>
General Elective<\/td> <\/td>3<\/td>(3,0)<\/td><\/tr>
General Elective<\/td><\/td>3<\/td>(3,0)<\/td><\/tr>
Advanced ROTC<\/td> <\/td><\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Senior Year<\/h3>\n\n\n\n
Senior Seminar in Mathematics (Capstone)<\/td>MATH 495<\/a><\/a><\/td>3<\/td>(3,0)<\/td><\/tr>
Statistical Learning for Data Analytics<\/td>STAT 451<\/a><\/td>3<\/td>(3,0)<\/td><\/tr>
Strand Elective 4<\/td><\/td>3<\/td>(3,0)<\/td><\/tr>
General Elective<\/td><\/td>3<\/td>(3,0)<\/td><\/tr>
General Elective<\/td><\/td>3<\/td>(3,0)<\/td><\/tr>
LDRS 411<\/td> <\/td> <\/td> <\/td><\/tr>
Advanced ROTC<\/td><\/td><\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
Data Analysis<\/td>STAT 461<\/a><\/td>3<\/td>(3,0)<\/td><\/tr>
Strand Elective 5<\/td><\/td>3<\/td>(3,0)<\/td><\/tr>
General Elective<\/td><\/td>3<\/td>(3,0)<\/td><\/tr>
General Elective<\/td><\/td>3<\/td>(3,0)<\/td><\/tr>
General Elective<\/td> <\/td>3<\/td>(3,0)<\/td><\/tr>
Advanced ROTC<\/td> <\/td>3<\/td>(3,0)<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

*A student must complete COMM 260 and one of ENGL 201, 202, 215, 218, or 219.<\/p>\n\n\n\n

**Science courses must be selected from Biology (101\/111 and 102\/112), Chemistry (151\/161 and 152\/162), or Physics (221\/271 and 222\/272)<\/p>\n\n\n\n

***Any mathematics or statistics course numbered at the 300 or 400 level.<\/p>\n\n\n\n

\n\n\n\n
\n
\n
\n
View the curriculum for your catalog year<\/a><\/div>\n<\/div>\n<\/div>\n\n\n\n
\n
\n
View the Academic MAP for your catalog year<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

Earn your Mathematics (Concentration in Data Analytics) Degree The concentration in Data Analytics prepares majors with additional skills in statistical modeling (linear or non-linear), processing massive data analytically, and decision-making from the data processing outcomes.   As the 21st century is a data and high-technology century, there is a strong demand for graduates with mathematical, statistical […]<\/p>\n","protected":false},"author":30,"featured_media":1093,"parent":38,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"page-program.php","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","footnotes":""},"class_list":["post-226","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"\nMathematics (Concentration in Data Analytics), B.S.<\/title>\n<meta name=\"description\" content=\"91ÁÔÆæ's Mathematics (Concentration in Data Analytics) B.S. prepares cadets with skills in high demand by the STEM and business sectors.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.citadel.edu\/mathsci\/programs-of-study\/math_data_analytics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Mathematics (Concentration in Data Analytics), B.S.\" \/>\n<meta property=\"og:description\" content=\"91ÁÔÆæ's Mathematics (Concentration in Data Analytics) B.S. prepares cadets with skills in high demand by the STEM and business sectors.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.citadel.edu\/mathsci\/programs-of-study\/math_data_analytics\/\" \/>\n<meta property=\"og:site_name\" content=\"Department of Mathematics and Data Analytics\" \/>\n<meta property=\"article:modified_time\" content=\"2025-08-20T14:02:51+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.citadel.edu\/mathsci\/wp-content\/uploads\/sites\/50\/luke-chesser-JKUTrJ4vK00-unsplash-scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1707\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.citadel.edu\\\/mathsci\\\/programs-of-study\\\/math_data_analytics\\\/\",\"url\":\"https:\\\/\\\/www.citadel.edu\\\/mathsci\\\/programs-of-study\\\/math_data_analytics\\\/\",\"name\":\"Mathematics (Concentration in Data Analytics), B.S.\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.citadel.edu\\\/mathsci\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.citadel.edu\\\/mathsci\\\/programs-of-study\\\/math_data_analytics\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.citadel.edu\\\/mathsci\\\/programs-of-study\\\/math_data_analytics\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.citadel.edu\\\/mathsci\\\/wp-content\\\/uploads\\\/sites\\\/50\\\/luke-chesser-JKUTrJ4vK00-unsplash-scaled.jpg\",\"datePublished\":\"2022-06-21T18:23:27+00:00\",\"dateModified\":\"2025-08-20T14:02:51+00:00\",\"description\":\"91ÁÔÆæ's Mathematics (Concentration in Data Analytics) B.S. prepares cadets with skills in high demand by the STEM and business sectors.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.citadel.edu\\\/mathsci\\\/programs-of-study\\\/math_data_analytics\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.citadel.edu\\\/mathsci\\\/programs-of-study\\\/math_data_analytics\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.citadel.edu\\\/mathsci\\\/programs-of-study\\\/math_data_analytics\\\/#primaryimage\",\"url\":\"https:\\\/\\\/www.citadel.edu\\\/mathsci\\\/wp-content\\\/uploads\\\/sites\\\/50\\\/luke-chesser-JKUTrJ4vK00-unsplash-scaled.jpg\",\"contentUrl\":\"https:\\\/\\\/www.citadel.edu\\\/mathsci\\\/wp-content\\\/uploads\\\/sites\\\/50\\\/luke-chesser-JKUTrJ4vK00-unsplash-scaled.jpg\",\"width\":2560,\"height\":1707},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.citadel.edu\\\/mathsci\\\/programs-of-study\\\/math_data_analytics\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/www.citadel.edu\\\/mathsci\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Programs of Study\",\"item\":\"https:\\\/\\\/www.citadel.edu\\\/mathsci\\\/programs-of-study\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Mathematics (Concentration in Data Analytics), B.S.\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.citadel.edu\\\/mathsci\\\/#website\",\"url\":\"https:\\\/\\\/www.citadel.edu\\\/mathsci\\\/\",\"name\":\"Department of Mathematics and Data Analytics\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.citadel.edu\\\/mathsci\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Mathematics (Concentration in Data Analytics), B.S.","description":"91ÁÔÆæ's Mathematics (Concentration in Data Analytics) B.S. prepares cadets with skills in high demand by the STEM and business sectors.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.citadel.edu\/mathsci\/programs-of-study\/math_data_analytics\/","og_locale":"en_US","og_type":"article","og_title":"Mathematics (Concentration in Data Analytics), B.S.","og_description":"91ÁÔÆæ's Mathematics (Concentration in Data Analytics) B.S. prepares cadets with skills in high demand by the STEM and business sectors.","og_url":"https:\/\/www.citadel.edu\/mathsci\/programs-of-study\/math_data_analytics\/","og_site_name":"Department of Mathematics and Data Analytics","article_modified_time":"2025-08-20T14:02:51+00:00","og_image":[{"width":2560,"height":1707,"url":"https:\/\/www.citadel.edu\/mathsci\/wp-content\/uploads\/sites\/50\/luke-chesser-JKUTrJ4vK00-unsplash-scaled.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_misc":{"Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.citadel.edu\/mathsci\/programs-of-study\/math_data_analytics\/","url":"https:\/\/www.citadel.edu\/mathsci\/programs-of-study\/math_data_analytics\/","name":"Mathematics (Concentration in Data Analytics), B.S.","isPartOf":{"@id":"https:\/\/www.citadel.edu\/mathsci\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.citadel.edu\/mathsci\/programs-of-study\/math_data_analytics\/#primaryimage"},"image":{"@id":"https:\/\/www.citadel.edu\/mathsci\/programs-of-study\/math_data_analytics\/#primaryimage"},"thumbnailUrl":"https:\/\/www.citadel.edu\/mathsci\/wp-content\/uploads\/sites\/50\/luke-chesser-JKUTrJ4vK00-unsplash-scaled.jpg","datePublished":"2022-06-21T18:23:27+00:00","dateModified":"2025-08-20T14:02:51+00:00","description":"91ÁÔÆæ's Mathematics (Concentration in Data Analytics) B.S. prepares cadets with skills in high demand by the STEM and business sectors.","breadcrumb":{"@id":"https:\/\/www.citadel.edu\/mathsci\/programs-of-study\/math_data_analytics\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.citadel.edu\/mathsci\/programs-of-study\/math_data_analytics\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.citadel.edu\/mathsci\/programs-of-study\/math_data_analytics\/#primaryimage","url":"https:\/\/www.citadel.edu\/mathsci\/wp-content\/uploads\/sites\/50\/luke-chesser-JKUTrJ4vK00-unsplash-scaled.jpg","contentUrl":"https:\/\/www.citadel.edu\/mathsci\/wp-content\/uploads\/sites\/50\/luke-chesser-JKUTrJ4vK00-unsplash-scaled.jpg","width":2560,"height":1707},{"@type":"BreadcrumbList","@id":"https:\/\/www.citadel.edu\/mathsci\/programs-of-study\/math_data_analytics\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.citadel.edu\/mathsci\/"},{"@type":"ListItem","position":2,"name":"Programs of Study","item":"https:\/\/www.citadel.edu\/mathsci\/programs-of-study\/"},{"@type":"ListItem","position":3,"name":"Mathematics (Concentration in Data Analytics), B.S."}]},{"@type":"WebSite","@id":"https:\/\/www.citadel.edu\/mathsci\/#website","url":"https:\/\/www.citadel.edu\/mathsci\/","name":"Department of Mathematics and Data Analytics","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.citadel.edu\/mathsci\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"}]}},"_links":{"self":[{"href":"https:\/\/www.citadel.edu\/mathsci\/wp-json\/wp\/v2\/pages\/226","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.citadel.edu\/mathsci\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.citadel.edu\/mathsci\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.citadel.edu\/mathsci\/wp-json\/wp\/v2\/users\/30"}],"replies":[{"embeddable":true,"href":"https:\/\/www.citadel.edu\/mathsci\/wp-json\/wp\/v2\/comments?post=226"}],"version-history":[{"count":40,"href":"https:\/\/www.citadel.edu\/mathsci\/wp-json\/wp\/v2\/pages\/226\/revisions"}],"predecessor-version":[{"id":1360,"href":"https:\/\/www.citadel.edu\/mathsci\/wp-json\/wp\/v2\/pages\/226\/revisions\/1360"}],"up":[{"embeddable":true,"href":"https:\/\/www.citadel.edu\/mathsci\/wp-json\/wp\/v2\/pages\/38"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.citadel.edu\/mathsci\/wp-json\/wp\/v2\/media\/1093"}],"wp:attachment":[{"href":"https:\/\/www.citadel.edu\/mathsci\/wp-json\/wp\/v2\/media?parent=226"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}