{"id":174,"date":"2017-04-24T07:41:41","date_gmt":"2017-04-24T07:41:41","guid":{"rendered":"https:\/\/192.168.31.69\/isrt\/?page_id=174"},"modified":"2025-07-06T23:43:54","modified_gmt":"2025-07-06T17:43:54","slug":"graduate","status":"publish","type":"page","link":"https:\/\/isrt.ac.bd\/academics\/graduate\/","title":{"rendered":"Graduate"},"content":{"rendered":"

ISRT offers a 1-year graduate program (master’s degree) in Applied Statistics and Data Science. MPhil and PhD degrees in Applied Statistics and Data Science are offered to suitable candidates on a regular basis.<\/p>\n

MS in Applied Statistics and Data Science<\/strong><\/h5>\n

The Master of Science (M.S.) program in Applied Statistics and Data Science is a one-year program. The minimum requirement for admission to this program is the successful completion of the B.S. Honours degree in Applied Statistics\/Applied Statistics and Data Science from ISRT. The regulations for admission and the examinations will be the same as those of the M.S. courses in the Faculty of Science unless otherwise stated. The program includes courses on advanced topics in statistics and computing with special emphasis on the applications of advanced statistical techniques to real-life situations. The objective of the program is to produce graduates with high statistics and computing skills so that, after successful completion, they are equipped to work efficiently and completely in government and non-government organizations, research organizations, service departments, and other related \ffields. There are two types of course designs available for the M.S. program in Applied Statistics:<\/p>\n

Group A : M.S. degree based only on coursework.<\/p>\n

Group B : M.S. degree based on coursework and thesis.<\/p>\n

Total credit hours for both Group A and Group B are 30. Students of both groups must take 19 credit hours of theoretical courses, of which 4 credit hours are compulsory and 15 credit hours are elective. For the elective part, students can choose \fve 3-credit-hour courses from the list of optional courses. The choice of optional courses will depend on the availability of teaching faculty of the institute. In addition, there will be a two-credit-hour oral
\ncomprehensive course. The remaining credit hours are distributed as follows:
\n\u000f<\/p>\n