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Top IT Master's Programs Abroad for Indian Students

Top IT Master's Programs Abroad for Indian Students When searching for options to study Information Technology for Indian students in a foreign country, there are great opportunities to succeed in the constantly developing IT field. The IT masters programmes in the top universities are highly developed, and students can get the best education, research, and international exposure. This blog explores the top information technology (IT) universities abroad, compares their programmes, tuition fees, and scholarships, as well as information about life on campus and after graduation.

Masters in Business Analytics in the USA

University Name	Summary	Course Insights
Massachusetts Institute of Technology (MIT) – Sloan School of Management	The MS in Business Analytics program offered at MIT is ranked as one of the best programs in the world. The curriculum is quite intense and ensures that the students are able to apply data science, optimisation and machine learning to business decisions.	MIT offers courses, such as Applied Machine Learning, Analytics Edge and Optimization Methods. Students also complete a Capstone project in which they have to solve real business issues for companies, which is a good way to use the knowledge received in class in practice.
University of California, Berkeley – Haas School of Business	The MS in Business Analytics at UC Berkeley is a STEM program that is designed to equip students with technical and business knowledge.	MIT offers courses, such as Applied Machine Learning, Analytics Edge and Optimization Methods. Students also complete a Capstone project in which they have to solve real business issues for companies, which is a good way to use the knowledge received in class in practice.
University of Southern California (USC) – Marshall School of Business	The University of Southern California has an extensive Business Analytics program that focuses on practical experience. Students are exposed to big data tools and methods, preparing them for careers in consulting, finance and technology sectors.	USC Marshall’s program includes elective courses in such fields as marketing analysis, sports analysis and healthcare analysis. The school is situated in Los Angeles and therefore exposes students to various industries, such as entertainment, sports and media, among others.
University of Texas at Austin – McCombs School of Business	McCombs has an MS in Business Analytics that covers machine learning, data mining and predictive modelling classes. The proximity to industry leaders enables the students to work on real-life projects.	McCombs has a good emphasis on data presentation and communication, which prepares students on how to present their analysis to decision-makers.
Carnegie Mellon University – Tepper School of Business	The MS in Business Analytics offered at Carnegie Mellon is for students who want to apply data to solve business issues. The program’s strength is that it is based on the integration of business, technology and analytics.	Carnegie Mellon’s program is project and internship based, which means that students will engage in many projects and internships. Students can participate in the Analytics Practicum, which is a distinguishing factor of the program, where students work on consulting projects for companies of the Fortune 500 list.

Admission Requirements and Deadlines

Admission requirements for the Masters in Business Analytics abroad programs generally include –

Academic Background – Many universities have a standard that the candidates should possess a bachelor’s degree in business, engineering, computer science or any related field. Mathematics, statistics and programming skills are usually considered as valuable as possible and sometimes even mandatory.

GMAT/GRE – Most of the best programs demand GMAT or GRE scores from the applicants. There are some universities that provide waivers, depending on the experience of the candidate or his performance.

English Proficiency – International students are required to provide proof of English language proficiency in the form of TOEFL or IELTS scores.

Work Experience – It is not always necessary to have prior work experience but if you have worked before in analytics or any data-driven position, then it will add to your advantage.

Letters of Recommendation – Many universities request 2-3 letters of recommendation from professors or employers who can attest to your analytical and leadership capabilities.

Statement of Purpose (SOP) – It is, therefore, important to write a good SOP that includes your career interests, reasons for choosing the program and how the degree will enable you to achieve your dreams.

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