MS in Engineering in Data Analytics & Statistics 

at WashU, St. Louis

Washington University in St. Louis is one of the finest universities in USA. Washington University in St. Louis provides MS in Engineering in Data Analytics & Statistics at PG level. The duration of this course is 18 to 24 months. This course attracts students from all over the world. To enrol in this course, international students must fulfil all the admission requirements. The admission requirement at the Washington University in St. Louis include standardized tests like IELTS, TOEFL, GRE and Duolingo. The first year tuition fees Washington University in St. Louis for MS in Engineering in Data Analytics & Statistics is USD 66,850 (INR 6,416,932). Moreover, the students must be ready for other expenses such as rent, hostel fees, food, books, supplies, utilities, etc. The average cost of living at Washington University in St. Louis is USD 13,658 (INR 1,311,031).

Students interested in pursuing a MS in Engineering in Data Analytics & Statistics from Washington University in St. Louis must fulfil the associated monetary requirements that come with the course. The fee structure includes the payment of the first-year tuition fee. Students must also plan for some other costs they may incur associated with living in USA such as rent, food, medical, travel & other expenditures. The overall estimated cost of living students can expect to incur is around USD 13,658 (INR 1,311,031). The cost may vary as per the lifestyle being pursued by the students & some other fees that may be charged by Washington University in St. Louis over the duration of studies. The first year tuition fee for MS in Engineering in Data Analytics & Statistics is around USD 66,850 (INR 6,416,932). For a more detailed fee breakdown regarding the MS in Engineering in Data Analytics & Statistics from Washington University in St. Louis, refer the table given below:

For students who want to explore the Washington University in St. Louis Master of Science in Data Analytics and Statistics (MSDAS) program, candidates can find the curriculum by clicking on the green button below. A list of the topics that will be covered in the course, choices for electives that improve learning chances, and other relevant course material are all included in this PDF curriculum. Additionally, it breaks down the course structure by semester, allowing students to see how their studies will advance each term. Making educated selections regarding your academic route requires the use of this material.