Best Universities for MS in Data Science

If you want to pursue a Master’s degree in Data Science in the United States, it is important to do your research. The biggest factor that comes into play when choosing a school is the location. You might want to be near family or choose an area where there are job opportunities for graduates with degrees in data science. Here are some of the best universities for MS in Data Science in USA.

Best Universities for MS in Data Science in USA

  1. Harvard University
  2. Stanford University
  3. Columbia University
  4. The University of California, Berkeley
  5. Carnegie Mellon University
  6. University of California, Los Angeles
  7. New York University
  8. Duke University
  9. University of Washington

Harvard University

Harvard University is the best university for MS in Data Science. It has been ranked as number one on the list of best universities for MS in Data Science by US News and World Report. The program is designed to help students understand how to use data science to solve real-world problems.

The curriculum is designed to help students gain an understanding of the field of data science, as well as its applications in business, government or non-profit organizations. Students will learn how to analyze large amounts of data and develop solutions based on those findings. Students may also focus on specific areas such as predictive analytics, machine learning or natural language processing.

After completing their degree at Harvard University, students are prepared for careers in research, technology development and management consulting. They may also decide to continue their studies at doctoral level programs in computer science or statistics.

University TypePrivate research university
Established1636
LocationCambridge, Massachusetts, United States
Acceptance rate5%
ProgramMaster’s in Data Science

Stanford University

The Masters of Science in Data Science program at Stanford focuses on both technical and analytical skills. The curriculum is designed to provide students with an understanding of big data technologies and methods, as well as their real-world applications. Students will gain experience working with a variety of data types, including text files, images, video files, and even social media data.

Students will also develop expertise in at least one programming language. While R is used as the primary language for instruction, Python or Scala are also options.

Stanford University’s MS in Data Science program provides students with access to state-of-the-art computing resources through its partnership with Google Cloud Platform (GCP). GCP provides free access to cloud computing services such as BigQuery, Cloud Storage and Google Cloud Datastore so that students can practice their skills before they graduate.

University TypePrivate research university
Established1891
LocationStanford, California, United States
Acceptance rate5.2%
ProgramMasters of Science in Data Science

Columbia University

The MS in Data Science program at Columbia University is one of the best options for students who want to learn how to use data to solve problems. This program is offered by the university’s School of Professional Studies and is designed for working professionals with a background in statistics, computer science, business or similar fields. The program’s curriculum focuses on developing analytical skills and practical project management skills that students can use in their careers.

All courses are taught in-person by faculty members from Columbia University’s Business School and Data Science Institute. In addition to coursework, students will participate in weekly workshops with industry leaders from dozens of companies such as Bloomberg LP, Microsoft Corp., Goldman Sachs Group Inc., McKinsey & Co., and Spotify AB among others.

The program includes two tracks: one for data scientists and one for business analysts/data engineers. Students who choose the data scientist track will take courses such as “Data Mining and Machine Learning,” “Database Management Systems,” “Advanced Analytics” and “Business Intelligence.” Those who choose the business analyst/data engineer track will take courses such as “Business Analytics,” “Introduction to Data Science” and “Data Visualization.”

University TypePrivate research university
Established1754
LocationNew York, New York, United States
Acceptance rate6.7%
ProgramM.S. in Data Science

University of California, Berkeley

As one of the top public research universities in the world, UC Berkeley offers a wide range of undergraduate and graduate degree programs in one of three academic divisions: Arts and Humanities, Biological Sciences and Social Sciences.

The master’s program in data science at UC Berkeley is an interdisciplinary program jointly offered by the College of Engineering, the School of Information (I School) and the Department of Statistics. The program’s curriculum includes courses from each department as well as core courses that provide grounding in statistics and machine learning. Students are required to complete three core courses: Data Science Methods I (DSMTECH), Data Science Methods II (DSMTECH), and Statistical Learning from Large Datasets (STAT).

Students can choose from three concentrations: Business Analytics, Data Mining or Machine Learning & Data Science. In addition to these concentrations, students can also choose two electives among several options offered by departments across campus, including computer science and engineering, economics or finance, law school or business school.

University TypePublic research university
Established1868
LocationBerkeley, California, United States
Acceptance rate17.5%
ProgramMaster’s in Data Science

Carnegie Mellon University

The MS in Data Science Program at Carnegie Mellon is a professional masters program that provides students with a deep understanding of data science and its applications to real-world problems. The curriculum is designed to give students an interdisciplinary perspective on the field, from statistics and machine learning to computer science and data management, so that they’re able to analyze large amounts of data using the latest tools and techniques.

The curriculum is highly flexible, so you can tailor it to your interests and goals. You can choose between two tracks: one that focuses on the theory behind data science (theoretical track) or one that focuses on its practice (practitioner track).

In addition to completing coursework, you’ll also complete an internship where you’ll apply what you’ve learned in the classroom to real-world problems. To help prepare for your internship, CMU works with companies like Amazon Web Services, Google Cloud Platform and IBM Watson Health to invite them into the classroom so students can interact directly with industry professionals who can share their experiences.

University TypePrivate research university
Established1900
LocationPittsburgh, Pennsylvania, United States
Acceptance rate17.3%
ProgramMS in Data Science

University of California, Los Angeles

The University of California, Los Angeles is one of the best universities for both undergraduate and graduate degrees in data science. UCLA has a School of Statistics and Information Science that offers a Master of Science in Statistics and Data Science (MS).

Students at UCLA can choose from two concentrations: applied statistics or data science. The MS in Applied Statistics provides an overview of statistical methods and applications across multiple fields, including business, public policy and social sciences. This degree also includes core courses in linear algebra, probability theory, computing methods and software development.

The MS in Data Science prepares students to work with large datasets to uncover patterns, trends and relationships that can help organizations make better decisions. The program features hands-on experience working with big data using tools like R and Python.

UCLA also offers a PhD in Statistics & Data Science that trains students to become experts in data science research methods and computation techniques. Students will learn how to design experiments, analyze data using various tools such as SAS and R, while also developing skills necessary to communicate results to diverse audiences through presentations, publications and other forms of communication such as social media platforms like Twitter and Facebook.

University TypePublic research university
Established1919
LocationWestwood, Los Angeles, California, United States
Acceptance rate14%
ProgramMS in Data Science

New York University (NYU)

The MS in Data Science program at New York University (NYU) is designed for students with a bachelor’s degree in any area to prepare them for careers as data scientists. The program emphasizes hands-on experience and includes courses on topics such as data mining, statistical methods and machine learning. Students also complete an individualized capstone project.

NYU has one of the most diverse student bodies in the country, making it a great choice for students looking to gain experience working with colleagues from different backgrounds and cultures. One out of every three undergraduate students at NYU is an international student who comes from more than 130 countries around the world.

The MS in Data Science program at NYU gives students an opportunity to work on real-world projects from day one. Students have access to a variety of computing resources including cloud computing environments, clusters and high performance computing systems that allow them to solve complex problems using large datasets quickly and efficiently.

University TypePrivate research university
Established1831
LocationNew York City, United States
Acceptance rate21.1%
ProgramMaster’s in Data Science

Duke University

Duke University’s MS in Data Science program offers a comprehensive curriculum, mentoring opportunities and a strong network of alumni.

The MS in Data Science is program that trains students to become effective data scientists. It includes two main components: a rigorous foundation of theory and practical experience with relevant tools and techniques.

The curriculum is designed to provide students with the advanced analytical skills needed to work in industry or academia as well as the ability to collaborate across disciplines and sectors. Students will learn how to apply concepts from computer science, statistics, mathematics and business to real-world problems involving large amounts of data.

The program combines theory taught by faculty members with hands-on experience through research projects, internships and field trips. Students who complete their degrees at Duke have gone on to careers at companies like Google, IBM Watson Health and Microsoft Research; nonprofits such as PATH; universities such as Stanford, Columbia and Yale; and other organizations around the world.

University TypePrivate research university
Established1838
LocationDurham, North Carolina, United States
Acceptance rate7.7%
ProgramMS in Data Science

The University of Washington

The university’s School of Computer Science & Engineering offers a Master of Science in Data Science, which emphasizes statistical modeling and machine learning techniques. The curriculum includes courses in introduction to data science and analytics, statistical methods for data science, big data analytics, data mining, cloud computing and distributed systems, information retrieval and scalable information systems.

Students can choose from two concentrations: one in business analytics and the other in algorithmic applications. In both cases, students take courses on big data analysis tools like Python and R, cloud computing technologies including Amazon Web Services (AWS) Elastic MapReduce (EMR) and Hadoop Distributed File System (HDFS), as well as algorithms for text analytics, NLP, web search engines and machine learning techniques such as neural networks or support vector machines (SVMs).

The program culminates with an internship at a local company such as Microsoft or Amazon where students gain hands-on experience applying their skills in real world situations.

University TypePublic research university
Established1861
LocationSeattle, Washington, United States
Acceptance rate55.9%
ProgramMS in Data Science

Conclusion:

There are many factors to consider when choosing a program and if you’re looking for the best universities for MS in Data Science, it can be overwhelming. We hope that this list will help you out with some ideas but ultimately it depends on your personal needs and preferences.

Credits:
Photo by Muhammad Rizwan on Unsplash

Which Universities are best for MS in Data Science in USA?

Best Universities for MS in Data Science

Harvard University
Stanford University
Columbia University
The University of California, Berkeley
Carnegie Mellon University
University of California, Los Angeles
New York University
Duke University
University of Washington

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