{"id":2101,"date":"2022-06-08T14:41:27","date_gmt":"2022-06-08T11:41:27","guid":{"rendered":"http:\/\/biostatistics.med.uoa.gr\/?page_id=2101"},"modified":"2024-06-10T19:40:58","modified_gmt":"2024-06-10T16:40:58","slug":"study-guide_new","status":"publish","type":"page","link":"https:\/\/biostatistics.med.uoa.gr\/en\/study-guide_new\/","title":{"rendered":"Course Catalog and Content \u2013 New Curriculum"},"content":{"rendered":"\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
SN<\/strong><\/td>\nCOURSES<\/strong><\/td>\nCredit Units (ECTS)
\n<\/strong>(\u0399\u03c3\u03c7\u03cd\u03c2 \u03b1\u03c0\u03cc \u03b1\u03ba\u03b1\u03b4. \u03ad\u03c4\u03bf\u03c2 2023-2024)<\/td>\n<\/tr>\n
COMPULSORY COURSES<\/strong><\/td>\n<\/tr>\n
1.<\/strong><\/td>\nIntroduction to Probability<\/strong><\/a><\/td>\n4<\/strong><\/td>\n<\/tr>\n
2.<\/strong><\/td>\nIntroduction to Epidemiology<\/strong><\/a><\/td>\n4<\/strong><\/td>\n<\/tr>\n
3.<\/strong><\/td>\nIntroduction to Statistical Inference and Biostatistics<\/a><\/strong><\/td>\n9<\/strong><\/td>\n<\/tr>\n
4.<\/strong><\/td>\nRegression and Analysis of Variance<\/strong><\/a><\/td>\n7<\/strong><\/td>\n<\/tr>\n
5.<\/strong><\/td>\nGeneralized Linear Models<\/strong><\/a><\/td>\n10<\/strong><\/td>\n<\/tr>\n
6.<\/strong><\/td>\nSurvival Analysis<\/strong><\/a><\/td>\n7<\/strong><\/td>\n<\/tr>\n
7.<\/strong><\/td>\nStatistical Methods in Epidemiology<\/strong><\/a> or Statistical Methods in Epidemiology or Health Data Science II: Electronic Data Management<\/a><\/strong><\/td>\n10<\/strong><\/td>\n<\/tr>\n
8.<\/strong><\/td>\nResearch Methodology<\/strong><\/a><\/td>\n7<\/strong><\/td>\n<\/tr>\n
ELECTIVE COURSES with 6 ECTS (category I)<\/strong><\/td>\n<\/tr>\n
9.<\/strong><\/td>\nNon-Parametric Statistics<\/strong><\/a><\/td>\n6<\/strong><\/td>\n<\/tr>\n
10.<\/strong><\/td>\nHealth Data Science I : Databases and Data Organization, Management and Visualization<\/strong><\/a><\/td>\n6<\/strong><\/td>\n<\/tr>\n
11.<\/strong><\/td>\nGenetic and Molecular Epidemiology<\/strong><\/a><\/td>\n6<\/strong><\/td>\n<\/tr>\n
12.<\/strong><\/td>\nClinical Trials<\/strong><\/a><\/td>\n6<\/strong><\/td>\n<\/tr>\n
13.<\/strong><\/td>\nSampling Methods<\/strong><\/a><\/td>\n6<\/strong><\/td>\n<\/tr>\n
14.<\/strong><\/td>\nRepeated Measurements Data Analysis<\/a><\/strong><\/td>\n6<\/strong><\/td>\n<\/tr>\n
15.<\/strong><\/td>\nBayesian Inference I<\/strong><\/a><\/td>\n6<\/strong><\/td>\n<\/tr>\n
16.<\/strong><\/td>\nBayesian Inference II<\/strong><\/a><\/td>\n6<\/strong><\/td>\n<\/tr>\n
17.<\/strong><\/td>\nMultivariate Analysis<\/strong><\/a><\/td>\n6<\/strong><\/td>\n<\/tr>\n
18.<\/strong><\/td>\nMissing Data Analysis<\/strong><\/a><\/td>\n6<\/strong><\/td>\n<\/tr>\n
19.<\/strong><\/td>\nBasic Principles of Molecular Evolution and Phylogenetic Analysis<\/strong><\/a><\/td>\n6<\/strong><\/td>\n<\/tr>\n
20.<\/strong><\/td>\nEnvironmental Epidemiology<\/a><\/strong><\/td>\n6<\/strong><\/td>\n<\/tr>\n
21.<\/strong><\/td>\nSpecial issues of Biostatistics<\/a><\/strong><\/td>\n6<\/strong><\/td>\n<\/tr>\n
22.<\/strong><\/td>\nMachine Learning Models<\/a><\/strong><\/td>\n6<\/strong><\/td>\n<\/tr>\n
23.<\/strong><\/td>\nMathematical models in infectious diseases<\/b><\/a><\/td>\n6<\/strong><\/td>\n<\/tr>\n
ELECTIVE COURSES with 2 ECTS (category II)<\/strong><\/td>\n<\/tr>\n
24.<\/strong><\/td>\nMeta-analysis<\/strong><\/a><\/td>\n2<\/strong><\/td>\n<\/tr>\n
25.<\/strong><\/td>\nSimulation<\/strong><\/a><\/td>\n2<\/strong><\/td>\n<\/tr>\n
26.<\/strong><\/td>\nPharmacometry<\/b><\/a><\/td>\n2<\/strong><\/td>\n<\/tr>\n
27.<\/strong><\/td>\nNutritional Epidemiology<\/b><\/a><\/td>\n2<\/strong><\/td>\n<\/tr>\n
28.<\/strong><\/td>\nSpecial topics of Data Analysis<\/strong><\/a><\/td>\n2<\/strong><\/td>\n<\/tr>\n
29.<\/strong><\/td>\nIntroduction to Health Economics<\/strong><\/a><\/td>\n2<\/strong><\/td>\n<\/tr>\n
30.<\/strong><\/td>\nIntroduction to the Python<\/strong><\/a><\/td>\n2<\/strong><\/td>\n<\/tr>\n
31.<\/strong><\/td>\nMixed Research Methods<\/strong><\/a><\/td>\n2<\/strong><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

To receive the MSc degree, the student is required to accumulate a total of:<\/p>\n

    \n
  1. \u03b7 \u03c3\u03c5\u03b3\u03ba\u03ad\u03bd\u03c4\u03c1\u03c9\u03c3\u03b7 58 \u03a0\u03b9\u03c3\u03c4\u03c9\u03c4\u03b9\u03ba\u03ce\u03bd \u039c\u03bf\u03bd\u03ac\u03b4\u03c9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b1 \u03c5\u03c0\u03bf\u03c7\u03c1\u03b5\u03c9\u03c4\u03b9\u03ba\u03ac \u03bc\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03b1<\/li>\n
  2. \u03b7 \u03c3\u03c5\u03b3\u03ba\u03ad\u03bd\u03c4\u03c1\u03c9\u03c3\u03b7 32 \u03a0\u03b9\u03c3\u03c4\u03c9\u03c4\u03b9\u03ba\u03ce\u03bd \u039c\u03bf\u03bd\u03ac\u03b4\u03c9\u03bd \u03b1\u03c0\u03cc \u03c4\u03b1 \u03bc\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae\u03c2<\/li>\n
  3. 30 ECTS from the preparation of a Dissertation Thesis,<\/li>\n<\/ol>\n

    in order to achieve a total of 120 ECTS.<\/p>\n

    *\u03a4\u03bf \u03c0\u03b1\u03c1\u03b1\u03c0\u03ac\u03bd\u03c9 \u03c0\u03c1\u03cc\u03b3\u03c1\u03b1\u03bc\u03bc\u03b1 \u03c3\u03c0\u03bf\u03c5\u03b4\u03ce\u03bd \u03b9\u03c3\u03c7\u03cd\u03b5\u03b9 \u03b1\u03c0\u03cc \u03c4\u03bf \u03b1\u03ba\u03b1\u03b4\u03b7\u03bc\u03b1\u03ca\u03ba\u03cc \u03ad\u03c4\u03bf\u03c2 2023-24<\/p>\n

    ** \u03a4\u03b1 \u03bc\u03b1\u03b8\u03ae\u03bc\u03b1\u03c4\u03b1 \u03b5\u03c0\u03b9\u03bb\u03bf\u03b3\u03ae\u03c2 \u03b4\u03b5\u03bd \u03c0\u03c1\u03bf\u03c3\u03c6\u03ad\u03c1\u03bf\u03bd\u03c4\u03b1\u03b9 \u03cc\u03bb\u03b1 \u03ba\u03ac\u03b8\u03b5 \u03c7\u03c1\u03cc\u03bd\u03bf. \u0397 \u0395\u0394\u0395 \u03c4\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b3\u03c1\u03ac\u03bc\u03bc\u03b1\u03c4\u03bf\u03c2 \u03b1\u03c0\u03bf\u03c6\u03b1\u03c3\u03af\u03b6\u03b5\u03b9 \u03c0\u03bf\u03b9\u03b1 \u03b1\u03c0\u03cc \u03b1\u03c5\u03c4\u03ac \u03b8\u03b1 \u03b4\u03b9\u03b4\u03b1\u03c7\u03b8\u03bf\u03cd\u03bd, \u03b1\u03bd\u03ac\u03bb\u03bf\u03b3\u03b1 \u03bc\u03b5 \u03c4\u03b9\u03c2 \u03c0\u03c1\u03bf\u03c3\u03c6\u03b5\u03c1\u03cc\u03bc\u03b5\u03bd\u03b5\u03c2 \u03c0\u03b9\u03c3\u03c4\u03c9\u03c4\u03b9\u03ba\u03ad\u03c2 \u03bc\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 \u03c3\u03c5\u03bd\u03bf\u03bb\u03b9\u03ba\u03ac \u03ba\u03b1\u03b9 \u03c4\u03b9\u03c2 \u03b4\u03c5\u03bd\u03b1\u03c4\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 \u03c4\u03bf\u03c5 \u03c0\u03c1\u03bf\u03b3\u03c1\u03ac\u03bc\u03bc\u03b1\u03c4\u03bf\u03c2.<\/p>","protected":false},"excerpt":{"rendered":"

    \u0391\u0391 \u039c\u0391\u0398\u0397\u039c\u0391\u03a4\u0391 \u03a0\u03b9\u03c3\u03c4\u03c9\u03c4\u03b9\u03ba\u03ad\u03c2 \u039c\u03bf\u03bd\u03ac\u03b4\u03b5\u03c2 (ECTS) (\u0399\u03c3\u03c7\u03cd\u03c2 \u03b1\u03c0\u03cc \u03b1\u03ba\u03b1\u03b4. \u03ad\u03c4\u03bf\u03c2 2023-2024) \u03a5\u03a0\u039f\u03a7\u03a1\u0395\u03a9\u03a4\u0399\u039a\u0391 \u039c\u0391\u0398\u0397\u039c\u0391\u03a4\u0391 1. \u0395\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae \u03c3\u03c4\u03b9\u03c2 \u03a0\u03b9\u03b8\u03b1\u03bd\u03cc\u03c4\u03b7\u03c4\u03b5\u03c2 4 2. \u0395\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae \u03c3\u03c4\u03b7\u03bd \u0395\u03c0\u03b9\u03b4\u03b7\u03bc\u03b9\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 4 3. \u0395\u03b9\u03c3\u03b1\u03b3\u03c9\u03b3\u03ae \u03c3\u03c4\u03b7\u00a0\u03a3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae \u03a3\u03c5\u03bc\u03c0\u03b5\u03c1\u03b1\u03c3\u03bc\u03b1\u03c4\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03ba\u03b1\u03b9 \u0392\u03b9\u03bf\u03c3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ae 9 4. \u0391\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u03a0\u03b1\u03bb\u03b9\u03bd\u03b4\u03c1\u03cc\u03bc\u03b7\u03c3\u03b7\u03c2 \u03ba\u03b1\u03b9 \u0394\u03b9\u03b1\u03c3\u03c0\u03bf\u03c1\u03ac\u03c2 \u0399 7 5. \u0393\u03b5\u03bd\u03b9\u03ba\u03b5\u03c5\u03bc\u03ad\u03bd\u03b1 \u0393\u03c1\u03b1\u03bc\u03bc\u03b9\u03ba\u03ac \u039c\u03bf\u03bd\u03c4\u03ad\u03bb\u03b1 10 6. \u0391\u03bd\u03ac\u03bb\u03c5\u03c3\u03b7 \u0395\u03c0\u03b9\u03b2\u03af\u03c9\u03c3\u03b7\u03c2 7 7. \u03a3\u03c4\u03b1\u03c4\u03b9\u03c3\u03c4\u03b9\u03ba\u03ad\u03c2 \u039c\u03ad\u03b8\u03bf\u03b4\u03bf\u03b9 \u03c3\u03c4\u03b7\u03bd \u0395\u03c0\u03b9\u03b4\u03b7\u03bc\u03b9\u03bf\u03bb\u03bf\u03b3\u03af\u03b1 \u03ae \u0395\u03c0\u03b9\u03c3\u03c4\u03ae\u03bc\u03b7 \u0394\u03b5\u03b4\u03bf\u03bc\u03ad\u03bd\u03c9\u03bd \u03a5\u03b3\u03b5\u03af\u03b1\u03c2 \u0399\u0399: Read more about \u039a\u03b1\u03c4\u03ac\u03bb\u03bf\u03b3\u03bf\u03c2 \u03ba\u03b1\u03b9 \u03a0\u03b5\u03c1\u03b9\u03b5\u03c7\u03cc\u03bc\u03b5\u03bd\u03bf \u039c\u03b1\u03b8\u03b7\u03bc\u03ac\u03c4\u03c9\u03bd – \u039d\u03ad\u03bf \u03a0\u03c1\u03cc\u03b3\u03c1\u03b1\u03bc\u03bc\u03b1 \u03a3\u03c0\u03bf\u03c5\u03b4\u03ce\u03bd<\/span>[…]<\/a><\/p>","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/pages\/2101"}],"collection":[{"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/comments?post=2101"}],"version-history":[{"count":15,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/pages\/2101\/revisions"}],"predecessor-version":[{"id":3337,"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/pages\/2101\/revisions\/3337"}],"wp:attachment":[{"href":"https:\/\/biostatistics.med.uoa.gr\/en\/wp-json\/wp\/v2\/media?parent=2101"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}