The United States is one of the top options when picking where to study STEM. It is the greatest study abroad location for international students who desire to enrol in data science programmes. As a result of its growing popularity, the data science market is anticipated to grow from 95.3 billion USD to 322.9 billion USD in 2026, with a CAGR of 27.7% globally. By 2030, the company also planned to add 31.4% more data scientists to its staff.
Everything you need to know about data science courses, the top data science in the US, tuition costs, requirements, job prospects, and much more is included in this post.
Why Study Data Science Courses in the USA?
Enrolling in data science courses helps students to pursue a number of work choices both in the USA and in many other countries because a degree from the USA is respected and in demand internationally. Data science is a highly sought-after academic field with several job prospects in the USA for the reasons given below.
- prestigious universities: Degree programmes in data science are offered by a large number of respected universities in the US. Several US colleges with a focus on data science are rated among the Top 10, Top 50, and even Top 100 universities worldwide in a number of ranking surveys. MIT, Harvard, and Stanford are three of the universities that made the Top 10 QS World University Rankings for 2023.
- Focus: Graduates in data science in US have access to a variety of experiences and opportunities. The US Bureau of Labour Statistics forecasts a 32% rise in employment for data scientists between 2020 and 2030. Furthermore, it is anticipated that 19,800 jobs would open up during the following ten years.
- Better Pay-scale: Among the top nations that offer the highest salaries to data science professionals is the United States. The typical yearly wage for a data scientist in the USA is 108,660 USD, or roughly 52.24 USD per hour. The highest 25% of data scientists made an average yearly salary of 130,370 USD, while the poorest 25% made about 71,790 USD.
Course Curriculum For data science in US
The curriculum for a data science course in the USA consists of eight core classes plus a two-quarter capstone project. Through its capstone projects, students get the opportunity to work on data science challenges faced by various outside organisations. Whether a student already has a bachelor’s or master’s degree in the discipline, the data science programme is designed to equip them with the breadth and depth of knowledge needed to launch a successful career in big data. The following are some of the subjects covered in the top data science courses offered in the USA:
- Statistical simulation
- Management and visualisation of data
- computer learning
- Data Science with a Human Focus
- Algorithms & Systems for Scalable Data
- software development
- Design of the study and data ethics
List of Top Universities To Study data science in US
There are many universities in the USA that offer data science courses at different levels. Most of them are well-known on a global scale for their excellent infrastructure and education. For your convenience, we’ve created a list of the top data science in US.
- Harvard University
- Columbia University
- Yale University
- University of California Berkeley
- North-western University
Let’s discuss each university.
1. Harvard University
The graduate certificate and master’s levels of the data science course at Harvard University are also available. Its master’s programme includes in-depth coverage of predictive modelling, artificial intelligence, machine learning, data visualisation, and big data. The graduate certificate curriculum also covers basic concepts in simulation, analysis, data structures, and parallel computing.
2. Columbia University
In addition to the common core fundamental topics covered in these courses, the data science courses at Columbia offer a track that focuses on specific issues that require more research. In theoretical, mathematical, and theoretical computer areas including security, scientific computing, and algorithm analysis, it prepares students for increasingly difficult tasks. The four specialisations offered with this degree are computer science, information science, data science, and computer science-mathematics.
3. Yale University
At Yale University, the statistics and data science programme covers practical statistical analysis using a variety of computational methods, methodologies for visualising and discovering data, strategies for spotting patterns and trends in data, and an attitude and way of thinking that quantifies uncertainty. It includes data specification, collection, and purification as well as management and analysis, and it encompasses the entire data life cycle.
4. University of California Berkeley
At UC Berkeley, data science programmes combine computational and inferential reasoning to produce conclusions on a range of real-world events. The course equips you to draw a trustworthy conclusion from data in context using your understanding of statistical inference, computer methodology, data management techniques, domain knowledge, and theory.
5. North-western University
The main emphasis of North-western University’s data science department is on computational and applied statistical methodologies that offer solid foundations in all fields of data science. The data science programme aims to enhance the demand for people in organisations that use data to drive decisions by fusing data science and business strategy. You may create exact projections by combining traditional statistics and machine learning methods.
Admission Requirements and Eligibility Criteria For data science in US
The prerequisites for studying data science courses vary among American institutions. While each university has its own set of requirements for admission to the programmes, the following are some of the more typical ones.
- Educational Qualifications
- Language Proficiency
- GMAT or GRE Scores
- Work Experience
- Passport & Visa
Here are more details about each of them:
1. Educational Qualifications
Different educational prerequisites may apply for data science courses in US colleges, depending on the level of the course. A data science bachelor’s degree from an authorised university is required. Minimum requirements should fall between 70% and 80% of total requirements.
To be qualified for a master’s degree in data science, you must have a bachelor’s degree in computer science, data science, or a closely related discipline. The GPA on your bachelor’s degree must be 3.5 or higher.
2. Language Proficiency
All applicants from non-native English-speaking countries must submit documentation of their language proficiency in order to be accepted into a data science degree programme in the USA. The suggested minimum test outcomes are
- IELTS: 6.0 – 7.5
- TOEFL: 90 – 110
3. GMAT or GRE Scores
For admission, certain American institutions require the results of graduate entrance exams. These outcomes were computed using GMAT or GRE scores. The very minimum results that have to be thought of as acceptable are
- GMAT: 650 – 725
- GRE: 280 – 340
4. Work Experience
Work experience is not required to apply to bachelor’s programmes in the USA. It is necessary for higher education, such as a PhD or master’s in data science. Two or three years of experience in higher education will be beneficial to you.
Cost of Studying data science in US
Depending on the university and locality, studying data science in US can cost different amounts. The following two components of this cost are your living expenses and tuition costs:
Depending on the programme level, data science courses in the USA range in price. Rarely is the cost determined by how many credits you have racked up. Data science majors at US institutions pay between $24,000 and $56,000 in tuition.
Cost of Living
The cost of living while attending one of the top data science in US will depend on the housing and lifestyle decisions made. New York, Boston, and California have a little higher cost of living than other cities. The typical monthly cost of living ranges from 1,300 to 2,700 USD. In addition, there are extra expenses for items like groceries and transportation.