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The 10 most promising Data Science Masters programs in US


The 10 most promising Data Science Masters programs in US


MS in Business Analytics

The prominent Master's degrees are built upon standard foundation courses in analytics. However, most of the schools tweak the curriculum to provide the MS pursuing candidates with a business edge. Some of these courses might include economics and communications electives. Some even comprise of industry projects and competitions.

Couple of the Master's programs requires candidates to hold a bachelor’s degree in engineering or statistics, while others only require a few prerequisites. It’s ideal to explore the profile so as to decide if a program fits you, and then choose a degree accordingly. The following list provides the 10 best Masters program in analytics across the States.



1) Master of Business Analytics (Massachusetts Institute of Technology):

MIT usually surfaces on top of such lists, as the analytics program they offer combines expertise from the Sloan School of Management with robust support from the MIT Operations Research Center.

The course is intended to assist freshers and career changers to build a career in data science, besides introducing them to the various software tool modules and a pro seminar addressing ethics and leadership concerns.

Moreover, candidates must have a robust background in mathematics, computer science, and statistics. All the applicants have to appear for a GMAT or a GRE though.

Decision Points:

Carnegie Mellon

2) Master of Science in Information Technology: Business Intelligence and Data Analytics (Carnegie Mellon):

This part-time program is targeted at mid-career and experienced IT professionals, intends to help professionals who want to get ahead career-wise. Moreover, the MSIT-BIDA course helps graduates prepare for high-level jobs in the space.

The electives for this program depends on the student’s business focus, for instance, defensive hacking, tech startup, global IT management, and more. IT professionals with a minimum of three years, full-time work experience, evidence of leadership skills, and a bachelor’s degree are generally considered ideal candidates to pursue the program.

Decision Points:

University of Texas at Austin

3) Career InfoMaster of Science in Business Analytics (University of Texas at Austin):

This program blends technical training with machine learning, and the 10-month degree helps students to gain a thorough comprehension of all aspects of business analytics.

Students have the chance to attend networking events, visit local companies such as IBM, and chat with industry representatives; as the program is run through the McCombs School of Business. Students can choose electives from various fields. Ideal applicants must have an undergraduate degree from an accredited institution and an upper-division GPA of 3.0 or higher.

Decision Points:

University of Chicago

4) Master of Science in Analytics (University of Chicago):

Depending on what you opt MSA can be full-time (12 months) or part-time program (up to 4 years) designed to prepare future analytics Gurus.

The program comprises of core tools and methodologies, including a large range of applications. Students are provided with the option to take workshops and short courses in R, Hadoop, Python, etc. Alumni from this program find themselves working as data scientists, senior analysts, and strategy directors.

Decision Points:

Columbia University

5) Master of Science in Applied Analytics (Columbia University): 

The program is geared at decision-makers, combining online and/or campus-based classes with week-long courses at Columbia’s famous NYC location. Additionally, students can opt for three electives centered on their chosen industry.

The program teaches the participants how to define an analytical problem and collaborate with analysts, besides establishing what steps need to be taken to create a real-life business solution. The students enrolled in this program utilize their skills to address a real-world analytics challenge sponsored by an outside organization, during the last term.

A cumulative undergraduate GPA of 3.0 or better and the ability to demonstrate critical thinking and leadership skills are some of the prerequisites for the course.

Decision Points:

Duke University

6) Master of Quantitative Management (Duke University):

This 10-month degree is packed with training in analytics tactics and tools within a chosen industry. The program also focuses on developing communication skills, such as defining a problem, knowing the audience, and presenting a clear message.

The program receives plenty of networking opportunities and events, as it is run through the Fuqua School of Business. The last term sees students collaborating on a real-world problem. Candidates should have a bachelor’s degree in science, technology, engineering, mathematics, business, economics, or an equivalent quantitative major.

Decision Points:

Georgia Institute of Technology

7) Master of Science in Analytics (Georgia Institute of Technology):

This program is dedicated towards dedicated analysts, drawing its strength from Georgia Tech’s colleges of business, computing and engineering. Students receive funding to attend an analytics conference; have access to free cloud computing resources, software and training; besides taking part in Georgia Tech’s Business Analytics and Big Data Industry Forum.

Candidates must have a strong interest in analytics, a bachelor’s degree (or the equivalent), and good skills in mathematics and computing to apply for the course. They must also submit their GRE or GMAT scores.

See Also
ISB Business Analytics

Decision Points:

Purdue University

8) Master of Science in Business Analytics and Information Management (Purdue University):

The Program intends to create super-qualified leaders in business analytics, by focusing only on latest technologies and techniques, for instance, newest software tools, gamification, modeling, and more.

Through this program, students are exposed to information management, strategy and a variety of cross-disciplinary business concerns. The university ranks very highly for quantitative analysis and computer science.

1-2 years is the average work experience of applicants; however, prior experience is not required. A GMAT score is required, but a GRE score may be accepted as an alternative.

Decision Points:

University of Minnesota-Twin Cities

9) Master of Science in Business Analytics (Full-Time/Part-Time) (University of Minnesota-Twin Cities):

The program focuses on development of technical skills, management fundamentals, and advanced methods in analytics and data science.

The intensive, full-time program takes 1 year to complete, while the part-time program is built around evening classes and is paced over 3 years for completion. Additionally, students must complete a 14-week project for a real-world client at the Carlson Analytics Lab. Graduates are recruited to companies like Ford, Priceline, Expedia and other data-driven organizations.

Decision Points:

New York University.jpg

10) Master of Science in Business Analytics (New York University):

This high-flying program is aimed at senior-level professionals interested in business strategy and data science. The program uniquely blends online study with five campus sessions, called “modules”, at NYU Stern and rotating global locations (e.g. London, Shanghai, etc.).

Experienced applicants, with a minimum of five years of professional, full-time work experience, and high aptitude for quantitative analysis and academic success is usually considered the right fit for the NYU course.

Decision Points:



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