Top universities offering data science master

Nowadays, Data Science is quite a sought-after field, and there are plenty of proud new-age professional data scientists. They are known for their amazing math skills and awesome statistical minds. Data Science calls for people from the fields of computer science, maths, and even electronics. As per Payscale, the average salary for Data Science professionals at the junior-most level is approximately $90,000 a year, making Data Science a lucrative career option.

You will be surprised to know that Data Scientists currently do not hold a Master’s degree. Most people just use self-study material. However, if you are interested in pursuing a Master’s degree in Data Science, here are the top universities to consider:

Stanford University
Stanford University offers a Master’s degree in Data Science under the Department of Statistics School of Humanities and Science. The degree is known as M.S. in Statistics: Data Science and consists of 45 unit courses. The eligibility requirements for this include a good GRE/TOEFL score and a strong command in subjects like Linear Algebra, Statistics, Probability, and Mathematics. Some of the courses offered in this Master’s degree include

• Introduction to Statistical Modeling
• Modern Applied Statistics: Learning and Data Mining
• Introduction to Regression Models and Analysis of Variance
• Introduction to Statistical Inference

Columbia University
The Master’s degree in Data Science at Columbia University is called the Master of Science in Data Science. The eligibility requirements for this are a good GRE or TOEFL score. Moreover, to be a suitable candidate for this degree, you should have done prior coursework in Computer Programming, Linear Algebra, and Calculus. You have to undertake 30 credits to get your degree. If you wish to gain more knowledge on Data Science, this university also offers other related courses such as Data Science Online Courses and Certification of Professional Achievement in Data Science. Some of the courses offered here for a Master’s degree in Data Science are

• Introduction to Data Science
• Machine Learning for Data Science
• Algorithms for Data Science
• Statistical Interference & Modeling
• Probability & Statistics for Data Science

UC Berkeley
The University of California-Berkeley is an ideal place to pursue any Master’s degree. If you wish to earn a Master’s degree in Data Science at this prestigious university, you must submit your application to the Electrical Engineering and Computer Sciences. The eligibility requirements are a suitable TOEFL score of more than 100 or an IELTS score with an overall band of more than 7. In addition, you need a GPA of more than 3.0a Some of the courses offered here are

• Oz Vision
• Real-Time Natural Language Processing on Edge Devices
• Vision Correcting Display
• Robustness in Implicit Deep Learning
• High-Performance Genome Data Analysis
• Robotics and Embedded Software
• Visual Computing & Computer Graphics

USC
The Master’s degree in Data Science offered at the USC is quite a coveted one. You can pursue this course at the Viterbi School of Engineering. The degree offered here is a Master of Science in Computer Science with Specialization in Data Science. The eligibility requirement here is a suitable GRE or TOEFL score. Additionally, you should have done your undergraduate in Math, Engineering, or Science to be eligible for this course. They offer a variety of core courses, such as

• Information Integration on the Web
• Probabilistic Reasoning
• Geospatial Information Management
• Advanced Topics in Database Systems

University of Chicago
You can pursue a Master’s Degree in Data Science at the University of Chicago’s Graham School. The Master’s Degree from this renowned university is referred to as the Master of Science in Analytics. You can earn this degree by completing 14 courses that are a part of this program. To be eligible for this course, you need to have a TOEFL score of more than 104 and an IELTS band that is higher than 7. Moreover, you need to have an excellent academic record in a stream like Economics, Mathematics, or Computer Science. Some of the courses offered here include

• Real-Time Analytics
• Marketing Analytics
• Financial Analytics
• Real-Time Intelligent Systems
• Advanced Machine Learning and Artificial Intelligence
• Optimization and Simulation Methods for Analytics
• Digital Marketing Analytics in Theory and Practice
• Credit and Insurance Risk Analytics

NYU
The Master’s degree at New York University is provided under the Department of The Center for Data Science. To be eligible for this course, you need to have good knowledge in Statistics, Computer Science, and Mathematics. Moreover, you need to give a GRE or TOEFL and secure a suitable score as required by the university. The degree program here makes you a Master of Science in Data Science, and it’s quite a coveted course offered in the lively city of New York. This program offers courses like

• Introduction to Data Science
• Machine Learning
• Natural Language Understanding and Computational Semantics
• Responsible Data Science

Cornell University
The one-year Master’s degree program at this university covers many intricacies of Applied Statistics. The curriculum is built on three different components, which include core courses, elective coursework, and an in-depth statistical analysis project. Some of the courses offered here are

• Introductory Statistics
• Biological Statistics
• Statistical Sampling
• Probability Models and Inference
• Linear Models with Matrices
• Theory of Statistics
• Introduction to Survival Analysis

University of Massachusetts
The Master’s degree in Data Science is offered under the Department of College of Information and Computer Sciences at the University of Massachusetts. The degree offered in this course is known as Master’s Concentration in Data Science. To be an eligible candidate for pursuing this Master’s degree, you need to have a proper background in Computer Science along with a suitable GRE or TOEFL score. Examples of their courses in this program include

• Formal Language Theory
• Algorithms for Data Science
• Machine Learning
• Data Visualization and Exploration
• Database Design and Implementation
• Distributed and Operating Systems