Everything in the present time is related to artificial intelligence (AI) and machine learning (ML) and all the top organisations want employees who are efficient enough to deal with their company data properly. Thus, pursuing a higher degree course in data sciences will ensure better career opportunities along with providing important real-life experiences through research projects as well as capstone courses. USA has been among the top countries to study data science courses. It has remained on the top spot for pursuing masters in data sciences for several years.
In addition to that, the country is home to more than 500 Fortune companies and thus, possesses one of the largest and most innovative markets for several branches of data sciences such as artificial intelligence, deep learning and machine learning among others. Moreover, there has been a growing demand for data scientists in the United States and as per the statistics provided by U.S. Bureau of labor this will increase to about 28% by the year 2026 (Janssen 2022). The shortage of data scientists will also impact other factors. Data scientists can also earn a great median salary of about $113,736 per year. Thus, USA is an appropriate choice for pursuing studies related to data science.
As there is an ever increasing demand of data scientists in USA, it offers some of the best courses in the field. The master degree courses for study in USA are ranked amongst the best in the world. Some of the courses that are most popular data science courses in USA are:
Apart from these top courses there are several other courses that are offered by the USA and can be pursued either as part time or full time courses (ACADEMICCOURSES 2023). Thus, students who wish to study abroad in the USA should check out the various courses and select one that suits their budget and interest.
As with most of the undergraduate courses in the United States of America, any undergraduate course related to data sciences such as artificial intelligence or machine learning also requires four years of full-time study to be completed. There are selected credit hours that every student with their particular specialization needs to complete for their graduation. The U.S Colleges and Universities have student advisers who guide the students regarding this. The undergraduate course aims to prepare the students to become data scientists with adequate technical, and business competencies that are important for the field. They also prepare them to solve real-world problems using various perspectives from statistics, mathematics, information technology as well as humanities.
There are various specialized courses that students can pursue after they complete their undergraduate courses. Usually a master’s degree course in the US can be pursued full time or part-time. Those students who want to complete their master’s course full-time, they take two courses per quarter and usually attend only for two evenings in a week. They need a year and a half to complete the program. Those students who want to part-time, they take one course in each quarter and attend a single class per week. Thus, the typical time needed by such students is 2.5 years.
USA offers various master’s program in data sciences known as MS degree for a period of two years. Thus, a student who wants to pursue their post graduate degree from the US will require two years. There are 69 universities in the US that offers MS in data science. In addition, some universities such as Northwestern University offer MS in Analytics, which is a related data science program.
Undergraduate Students
The average annual expense a student may have to bear for completing an undergraduate course in the US is about $ 35000 per annum. This amount is equivalent to 2852283 INR. Thus, a student may have to spend about 30 lakh INR a year to complete the four year course without any scholarship.
Students who have completed their undergraduate courses and want to pursue some courses prior to their post graduate courses can opt for part time courses. A data science course in the US will cost something around 3000000 to 5500000 on average.
Students who want to pursue a master’s degree called the MS in data science from US will require an average of 21,000 to 75,000 USD every year of their course. This is almost equivalent to 15 to 55 lakh INR for an Indian student. This cost is only an approximation of the tuition fee of the course. In addition to this fee, the student will also have additional charges such as travel, accommodation and daily maintenance expenses.
The US is an expensive country to live for a person from a developing country such as India. Thus, it is important that prospective students calculate their total budget by adding the living cost along with the tuition fee for their course. This cost will include their accommodation, meals, laundry, mobile and internet services, clothing, travel expenses and other miscellaneous expenses. There are various factors that need to be considered while calculating the cost of living in the US. The cost of living will vary for different students even if they are pursuing a similar type of course, that is, data science on the basis of location, residence type, meals and several other factors.
Those students who live off-campus, the distance between their educational institute and their housing situation as well as the frequency of visiting the institute all determine their transportation expenses. On an average every foreign student pursuing their studies in the US has to spend about 25000 USD per year for their living. This amount is equivalent to 20 lakh INR per year. To be able to cover for such huge expenses, students must figure out courses that offer scholarship, either full or partial to international students on the basis of their academic performance or financial needs. Being able to secure a scholarship will help the students to focus on their studies without the financial stress and burden.
As the cost of living as well as the tuition fees both are very high for most people from India, it is important that interested students look for proper scholarship programs that are being offered to international students by the US universities. Many of the USA organizations such as corporations, government agencies and foundations also offer data science scholarships. Thus, students must try to meet all the eligibility criteria of the offered scholarships to reduce their student debts and loans. Few of the programs offered in US that also provide scholarships are:
The scholarship money can be used by the students to pay their tuition fee for the course or other associated charges with their studies. Apart from these most prominent scholarships, there are a plethora of scholarships that are available for international students who want to pursue their education in data sciences from the US because of the increasing need of data scientists in the country. Thus, students need to research a bit to find out the scholarship that meets their needs.
ACADEMICCOURSES, n.d. Best courses in data science in USA 2023. [online] ACADEMICCOURSES. Available at: [Accessed 18 Jan. 2023].
Janssen, N., 2022. Council post: The Data Science Talent Gap: Why it exists and what businesses can do about it. [online] Forbes. Available at: [Accessed 18 Jan. 2023].
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There is no single state that is "best" for data science, as the strengths of different states can vary depending on factors such as the specific subfield of data science, the size and focus of the local tech industry, and the cost of living.
However, some states are generally considered to be particularly strong in the field of data science and technology, including:
These are just a few examples, and there are many other states that have strong tech industries and data science scenes. Ultimately, the best state for data science will depend on a number of personal factors, such as career goals, cost of living, and quality of life.
Data science can be challenging, but the level of difficulty can vary depending on a number of factors, including a person's background, experience, and goals.
For individuals with a strong background in mathematics, statistics, and programming, data science can be a rewarding field with many opportunities for professional growth. However, for individuals without prior experience in these areas, the learning curve can be steep, and it may take some time to develop the necessary skills and knowledge.
Additionally, the field of data science is rapidly evolving, and staying up-to-date with the latest techniques, tools, and technologies can be a challenge. It is important for data scientists to continually learn and grow their skills to remain competitive in the job market.
In the US, the demand for data scientists is high, and competition for positions can be fierce. However, for individuals who are willing to put in the time and effort to learn and develop their skills, data science can be a highly rewarding and lucrative career.
In conclusion, data science can be hard, but it is also a challenging and rewarding field that offers many opportunities for personal and professional growth. The level of difficulty will depend on a person's background and goals, but with determination and hard work, anyone can succeed in the field of data science.
