With the need to collect data, process information and make accurate predictions in real time, there are more and more, not only technology companies but also all businesses in the world are trying to find personnel in Field of Data Science and Data Analysis. Predicting, until 2020, this demand will increase to 28% with salary up to hundreds of thousands of dollars.

Do you intend to take a master's course in data science and analysis in the US? Here are 6 options to consider.

1. Master of Computational Data Science (Carnegie Mellon University), Carnegie Mellon University


Carnegie Mellon University is well known for the quality of its teaching, the level of competition and often in the Top of Universities in the United States. The school has connections with major Silicon Valley organizations and companies like Google and Amazon. These companies even regularly recruit students and trainees of the school.

The University's Master of Computer Data Science course specifically goes into the most advanced technology applications in statistics and data science such as machine learning and data mining.

CMU graduates often receive an average starting salary of up to $ 100,000 and most receive more than one job offer.

2. Master of Information and Data Science (University of California, Berkeley)


UC Berkeley offers a variety of full-time online masters courses, and only requires students to be around 3.4 days at the school. If you are interested in data science, application learning and data visualization and want to learn with a flexible schedule, this is the right course for you

These courses last about 20 months with 2 sessions per term, but you can shorten your study time to 12 months with 3 sessions per term.

However, before taking this course, you need to have knowledge and experience with the Python programming language.

3. Master of Business Analytics (Master of Economic Analysis), MIT Sloan


Program Master of Economic Analysis of the MIT Sloan is a rare program going into the analysis rather than just "nibbled the edge" Scientific data array. Graduates will be equipped with a background in statistical programming languages, as well as Big Data analysis tools and many other scientific methods. This course also focuses on applying data science tools to solve economic problems.

Therefore, this course will be very suitable for candidates who have a background in engineering, IT, scientific research as well as students with a degree in mathematics, computer science and statistics.

4. Master of Science and Analytics (Master of Science and Analysis), Northwestern University


Northwestern University's Master of Science and Analysis program will provide knowledge, skills in data mining, predictive analysis (predictive analytics) and advanced statistics.

In this program, you can choose to study for 15 months at school or online .Accordingly, students who choose to study full time at the school will participate in the summer internship for 3 months and 8 months for internships at large companies.

Most alumni of this course received a job offer immediately after graduation from big guys like Apple, IBM, NASA, Nike, ...

5. Master of Science in Data Science (Master of Data Science, New York University)


New York University is one of the first universities in the world to have a master's program in data science .

Students of this course will be involved in practice in many different areas to apply data science to practical problem solving. If you want to go in-depth, you can also narrow your field of study to orientations such as Big Data Science, Natural Language Processing, Data and Math, etc.

6. Master of Science in Statistics: Data Science (Master of Statistics Science: Data Science), Stanford University


Students participating in the Master of Science in Data Science course at Stanford University will gain extensive knowledge as well as experience working with large areas of data science, including statistical models. , programming and digging data. In addition, students will also delve into more specialized content such as data in medicine, machine learning, economic intelligence (business intelligence) and distributed data management.

This course only offers full-time study options at the school, located right in Silicon Valley. This is also a favorable condition for students to pursue, seek employment opportunities, and practice more easily with "neighbor's" technology tycoons.