Which is the best country to study data analytics abroad?

People who appreciate work combining business and technological talents to add value for the client are more suited for a career in business analytics. However, coding and technology are a bit more prominent in data science. Compared to a Business Analytics programme, you may anticipate receiving far more questions about your coding abilities during the interview process for a Data Science course.

Both provide good value in terms of careers.

The United States is aware of the demand for analytics in various industries, including banking, e-commerce, healthcare, telecom, information technology, and stocks. Since both offer the same curriculum and are unrelated to business, the US would be first chosen for a Master's in Business Analytics or Data Science.

Top US Universities: 

MASSACHUSETTS INSTITUTE OF TECHNOLOGY: Business Analytics.
CARNEGIE MELLON: Master of Information Systems Management: Business Intelligence & Data Analytics
UNIVERSITY OF TEXAS AT AUSTIN: Master of Science in Business Analytics
UNIVERSITY OF CHICAGO Master of Science in Analytics
COLUMBIA UNIVERSITY: Master of Science in Applied Analytics
GEORGIA INSTITUTE OF TECHNOLOGY: Master of Science in Analytics
PURDUE UNIVERSITY MBA: Business Analytics Concentration Master of Science in Business Analytics and Information Management
UNIVERSITY OF MINNESOTA: TWIN CITIES Master of Science in Business Analytics (Full-Time/Part-Time)
NEW YORK UNIVERSITY: Master of Science in Business Analytics
TEXAS A&M UNIVERSITY: Master of Science in Analytics
UNIVERSITY OF FLORIDA: Master of Science in Information Systems and Operations Management: Business Intelligence & Analytics Specialization
RUTGERS UNIVERSITY: Master of Business & Science in Analytics: Discovery Informatics & Data Sciences
UNIVERSITY OF ROCHESTER: Master of Science in Business Analytics
UNIVERSITY OF CONNECTICUT: Master of Science in Business Analytics & Project Management
Here are my Top 10 Pointers to ensure durable success in either field-

Learn everything you can. Spend 4 to 5 hours per week studying, growing, and keeping up with industry trends. Challenge the current quo. Never assume that whatever is being done is the most effective way possible.

Recognize your equality with everyone else in the hierarchy.
Never be hesitant to express your opinions.
Place more emphasis on innovation and coming up with game-changing ideas than on carrying out business as usual.
Focus on improving your soft skills, especially communication, as I've noticed that this is one of the major gaps among analytics professionals.
Keep from becoming a one-trick pony. Try to gain experience in various sectors and functional areas.
Take part in contests and gatherings like Kaggle to see how you compare to your peers.