US is the top destination for students wanting to pursue masters or PhD abroad. With 12 US universities featuring in the top 25 of QS World University Rankings 2019, this hardly comes as a surprise. Universities in US offer the widest range of MS and PhD programs whether in traditional courses (computer science, mechanical engineering, industrial engineering, electronics and communication engineering, finance, marketing, etc.) or in upcoming ones (data science, business analytics, artificial intelligence, MIS, etc.).
Typical masters of science in US are usually 2-years long with 12-18 subjects (36-54 course credits) in total and PhD programs are 4-6 years long. Admission depends upon your undergraduate academic scores, GRE score, relevant work experience, essays, letters of recommendation and personal interviews
When it comes to availability of MS and PhD courses and their electives, universities in US are unmatched by those anywhere else. Count on them to offer cutting-edge electives in addition to traditional courses to help you stay on the top of your game when positioning yourself in the job market.
MS programs in US do not exist in an academic cocoon. There is tremendous learning to be had when teaching is not just limited to the classroom, but also extends to practical real-time problem-solving in lab or workshop environment.
Pursuing an MS in US may seem expensive at first glance. However, thanks to several public and private organizations (including the target universities themselves), students can get 25 to 100 per cent of their tuition fee waived if their profile is impressive.
What with a large number of private- and public-sector banks, crowd-funded companies and NBFCs facilitating education abroad, funding your MS in US is not a problem anymore. Download Jamboree’s Study Abroad Guide to know more.
If you make it to a good US university, chances are that you will come across a greatly diverse set of individuals. Whatever your goal, forging meaningful connections would prove to be immensely beneficial in the long run.