{"id":4117,"date":"2026-01-13T11:56:02","date_gmt":"2026-01-13T11:56:02","guid":{"rendered":"https:\/\/devserver.admin.uoc.gr\/damsl\/?page_id=4117"},"modified":"2026-01-13T12:04:45","modified_gmt":"2026-01-13T12:04:45","slug":"curriculum","status":"publish","type":"page","link":"https:\/\/mscs.uoc.gr\/damsl\/curriculum\/","title":{"rendered":"Curriculum\u00a0"},"content":{"rendered":"\t\t
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All courses are taught in English.\u00a0 The master project\u00a0 is also written in English. To complete the programme 90 ECTS are required of which 70 ECTS is from course work and 20 ECTS from the Master Project.\u00a0 The master project is mandatory for all students. The courses are divided in: Preparatory<\/em><\/strong>,\u00a0Core\u00a0<\/em><\/strong>and\u00a0Elective<\/em><\/strong>.\u00a0Preparatory\u00a0are advanced undergraduate courses which might be required\u00a0 to fill possible gaps necessary to follow the programme. Each Preparatory course is 5 ECTS which includes 2hrs\/week lectures plus homework and\/or lab assignments and a final exam and\/or project. A maximum of 10 ECTS can be credited from preparatory courses. There are three\u00a0Core\u00a0courses which are mandatory for all students and account for total of 30 ECTS. The remaining required ECTS can be completed by taking\u00a0Elective\u00a0courses.\u00a0 \u00a0Core and Elective courses are 10 ECTS each, and\u00a0 includes 4hrs\/week lectures plus homework and\/or lab assignments and a final exam and\/or project.\u00a0<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\nIndicative Curriculum<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Semester A (20-30 ECTS)<\/h5>
    • Preparatory Courses: Data Structures(5 ECTS), Numerical Algorithms(5 ECTS), Probability Theory(5 ECTS)<\/li>
    • Core Courses: Introduction to Data Science (10 ECTS), Introduction to Machine Learning(10 ECTS)<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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      Semester B (30 ECTS)<\/h5>
        • Core Courses: Mathematical & Computational Statistics(10 ECTS)<\/li>
        • Two(2) elective courses with 10 ECTS\/course<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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          Semester C (30 \u2013 40 ECTS)<\/h5>
            • Master Project(20 ECTS)<\/li>
            • One-two (1-2) elective courses with 10 ECTS\/course<\/li><\/ul><\/li><\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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              <\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

              All courses are taught in English.\u00a0 The master project\u00a0 is also written in English. To complete the programme 90 ECTS are required of which 70 ECTS is from course work and 20 ECTS from the Master Project.\u00a0 The master project is mandatory for all students. The courses are divided in: Preparatory,\u00a0Core\u00a0and\u00a0Elective.\u00a0Preparatory\u00a0are advanced undergraduate courses which might be required\u00a0 to fill possible gaps necessary to follow the programme. Each Preparatory course is 5 ECTS which includes 2hrs\/week lectures plus homework and\/or lab assignments and a final exam and\/or project. A maximum of 10 ECTS can be credited from preparatory courses. There are three\u00a0Core\u00a0courses which are mandatory for all students and account for total of 30 ECTS. The remaining required ECTS can be completed by taking\u00a0Elective\u00a0courses.\u00a0 \u00a0Core and Elective courses are 10 ECTS each, and\u00a0 includes 4hrs\/week lectures plus homework and\/or lab assignments and a final exam and\/or project.\u00a0 Indicative Curriculum Semester A (20-30 ECTS) Preparatory Courses: Data Structures(5 ECTS), Numerical Algorithms(5 ECTS), Probability Theory(5 ECTS) Core Courses: Introduction to Data Science (10 ECTS), Introduction to Machine Learning(10 ECTS) Semester B (30 ECTS) Core Courses: Mathematical & Computational Statistics(10 ECTS) Two(2) elective courses with 10 ECTS\/course Semester C (30 \u2013 40 ECTS) Master Project(20 ECTS) One-two (1-2) elective courses with 10 ECTS\/course<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"class_list":["post-4117","page","type-page","status-publish","hentry","post-no-thumbnail"],"acf":[],"_links":{"self":[{"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/pages\/4117","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/comments?post=4117"}],"version-history":[{"count":13,"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/pages\/4117\/revisions"}],"predecessor-version":[{"id":4130,"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/pages\/4117\/revisions\/4130"}],"wp:attachment":[{"href":"https:\/\/mscs.uoc.gr\/damsl\/wp-json\/wp\/v2\/media?parent=4117"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}