Study in US: Want career in Data Analytics? Check out these Colleges !

Piyush Bhartiya
Modified on 2017-11-01 in Engineering
Read time: 4 mins

Study Data Analytics Abroad

Do you wish to pursue your dream of completing a post-graduation degree in the United States? Are you a student from the field of data sciences & analytics? Then you are in the way of a bright career ahead. Because already Data Science & Analytics is on high demand these days. The United States itself faces a shortage of 140,000 to 190,000 people having analytical expertise. But studying data science in the top US universities must be framed under a proper plan. But you have to keep in your mind that, qualifying for Analytics / Data Science for a post-graduate course in the US is not a cake walk. In this post, let us take a look at the top 6 MS Programs in Analytics /Data Science active in the United States.

Study Abroad Programs in Data Analytics


  1.    MS in Data Science, Columbia University




Columbia University is situated in the heart of New York City. Since it is an Ivy League institution, there is no question regarding its reputation. This MS program is managed by the Data Science Institute at Columbia. Target audience of this program is early and mid-careerists who are hoping to strengthen their job prospects or switch to data science. It is interesting to know that, the students have access to courses from all the top programs available at this institute. Usually, the course duration is 16 months, which includes 3 semesters of study as well as an internship semester.


   MS in Data Science, New York University

Source: Forbes



NYU is also located in New York City and enjoys a crowning reputation in the United States. The MS program at NYU is run by the Center for Data Science. The students enjoy access to courses from a vast range of departments including AI, statistics, bio-statistics, economics, business, psychology etc. One can complete the course in 3 or 4 semesters, as per his/her choice. Curriculum includes a capstone project where students apply what they have learned to a real-world problem. Students are required to take course in Machine Learning, Computational Statistics and Inference & Representation. New York City’s Science community offers many opportunities for the students to apply their theoretical knowledge.


   MS in Analytics, Northwestern University

Source: Wikipedia


At Northwestern University, the interdisciplinary masters program is run by Medill (journalism), Kellogg (management), and McCormick (engineering) schools along with industry professionals of Chicago. It has a small batch size of just 35 students.  This is a big advantage in terms of learning and interactions during the program. Student will get to learn important aspects of analytics: Statistics, databases, programming and optimization after completing the course. The curriculum is of 14 courses, 18-month industry practicum and 1 capstone project. The coursework gives good industrial exposure with activities like workshops, tech talks are conducted. Students get much exposure as practicum and capstone projects are industry sponsored.

   MS in Analytics, Georgia Institute of Technology




This program of MS Analytics is managed in collaboration by the College of Engineering, Business and Computing at GaTech. This course is a 1 year program and comprises of fall, spring and summer semesters. Under practical training, this program is a coursework based into 2 capstone projects fixed in the summer semester or an internship, depending on the approval of the faculty. The program is designed to provide student knowledge on three options: Analytics Tools, Business Analytics and Computational Data Analytics. Each of the above covers statistics, operational research and computing courses. The number of courses in each of these options differs.

   MS in Business Analytics, Michigan State University



This university is ranked in the list of top 10 by the Nation by The Financial Engineer Times for 2017. MS in Business Analytics at Michigan State University is a 1 year program which begins in the spring semester and runs till summer and fall with the graduation fixed in December. The course prepares the students for the role of data scientist in various industries such as consulting, consumer products, automotive, financial services and retail. In addition to capstone project of a 10-12 week internship, the summer semester has workload of only 2 courses. Students do capstone projects in collaboration with an industry partner.

  MS in Computational Data Science, Carnegie Mellon University


Source: Wikipedia

Carnegie Mellon University (CMU) is a shining gem among the topmost universities for research in computer science. The university’s CS department also manages few specialized masters programs which focus higher tuition fee, one core domain and offers no assistance. MSCDS is one similar which spans over 16 months covering 3 semesters of study along with an internship semester. The program is based on Machine Learning and is more of mathematical nature.

Study Abroad: MS in Data Analytics from US

The above-mentioned courses along with their respective universities can prove quite helpful for students who are aiming to pursue their career as a data scientist. The United States is a country of huge opportunities so remember “your positive action combined with positive thinking results in success.”

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About the Author

Piyush BhartiyaPiyush values education and has studied from the top institutes of IIT Roorkee, IIM Bangalore, KTH Sweden and Tsinghua University in China. Post completing his MBA, he has worked with the world's # 1 consulting firm, The Boston Consulting Group and focused on building sales and marketing verticals for top MNCs and Indian business houses.

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