Top Universities for MS in Data Science in USA for International Students

A Master of Science (MS) in Data Science is a graduate-level programme that studies and applies data analysis, statistics, machine learning, and computer science to derive useful insights from large data sets. 

Did you know? The demand for data scientists in the USA is rising; according to a credible source, the average salary of a Data Scientist in the USA is USD 56,571.

According to the United States Bureau of Labour Statistics, data scientist professions will remain among the fastest-growing occupations in 2024. The predicted growth in employment vacancies from 2022 to 2032 is 35%.

Here are some amazing facts that may grab your attention.

Top universities: The United States has some of the world's best universities, offering advanced data science programmes. (For example, MIT, Stanford University, University of California Berkeley).

Different specialisations: Go beyond the core curriculum and focus your studies on specific topics such as healthcare analytics, computer vision, or business intelligence.

Practical Experience: Many programmes provide internships or research opportunities, giving you important real-world experience.

Here’s a breakdown of key highlights of an MS in Data Science in the USA.

Why Study MS in Data Science in USA?

The United States is the leader of the data revolution, as information drives innovation in every industry. Here, data is more than simply a collection of numbers; it is a valuable resource waiting to be utilised. An MS in Data Science in the United States will provide you with the necessary skills and expertise to become a prominent player in this exciting field.   

Here are some reasons why you should consider the USA for MS in Data Science: 

• Growing Tech Hubs: The United States is home to Silicon Valley, the world's centre of technological innovation. Studying here puts you in the thick of the action, allowing you to network with top tech businesses and maybe land internships or research opportunities with industry heavyweights such as Google, Facebook, and Amazon.
• STEM OPT Extension: International students who complete their MS in Data Science at a US university are eligible for a STEM OPT (Optional Practical Training) extension. This enables them to get useful work experience in the United States for up to three years following graduation, considerably increasing their employability and career opportunities.
• Focus on Entrepreneurship: American culture encourages innovation and entrepreneurship. Studying in the United States exposes you to this environment, enabling you to think creatively and build solutions based on data science expertise. This can be especially useful if you intend to start your own data-driven business in the future.
• Culture of Openness and Collaboration: The US academic environment encourages open communication and collaboration, creating a strong community among data science students and practitioners. You'll be able to learn from and network with various people, enhancing your educational experience and professional development.
• Post-Graduation Support: Many US colleges provide dedicated career services to international students. These programmes offer advice on resume writing, interview techniques, and job search methods, providing you with the tools you need to negotiate the US job market and land satisfying employment in your profession.

The World Economic Forum's Future of Jobs 2023 report predicts that by 2027, demand for AI and machine learning specialists will climb by 40%, while demand for data analysts, scientists, engineers, BI analysts, and other big data and database professionals will rise by 30%- 35%.

What are the Top Universities for MS in Data Science in USA?

The United States has some of the world's best universities for this growing profession! Prepare to look deep into data, understand the latest technologies, and discover fascinating career options. 

There is a program for you, from the prestigious MIT to sunny California. Prepare to explore the top US universities for your Master's in Data Science and become data-savvy!

Here are the top universities: 

*Note: The fee might vary and may be subject to change.

What are the Top MS Specialisations for MS in Data Science?

The subject of data science is huge, with numerous interesting specialisations to match your abilities and interests. 

Here are some of the top MS specialisations for MS in Data Science in the United States.

• Machine Learning: This core specialisation teaches you how to build and execute algorithms that learn from data, which is essential for tasks such as image recognition, natural language processing, and predictive modelling. (Most universities offer MS in Data Science programs.)
• Artificial Intelligence (AI): Learn more about intelligent systems by investigating advanced AI concepts such as deep learning, reinforcement learning, and computer vision. This specialisation will provide you with positions at the forefront of AI development. (Provided by universities with robust AI research programmes)
• Big Data Analytics: Learn how to handle and analyse enormous datasets. You'll learn about distributed computing frameworks, data warehousing, and real-time data processing, all of which are necessary skills for dealing with an ever-increasing amount of data. (Provided by universities with robust computer science programmes)
• Business Analytics: Learn how to bridge the data science and business divide by transforming data insights into practical solutions. This specialisation is designed for those who want to use data science to solve business challenges and make better decisions. (Provided by business schools or colleges that have robust business analytics programmes)

What is the Course Curriculum of MS in Data Science in USA?

Depending on the particular university, the course curriculum for a Master's in Data Science (MSDS) program in the USA will differ. 

However, you should anticipate discovering the following core areas:

• Foundational courses: Calculus, probability, statistics, and linear algebra are some topics covered in mathematics. These offer the fundamental mathematical framework required for machine learning and data analysis.
• Programming: The two languages most frequently used in data science are Python and R. These are presumably the subjects of classes you'll take, which will teach you how to manipulate data, perform analyses, and create models using these languages.

Essential Courses in Data Science:

• Statistics for Data Science: This section delves deeper into statistical methods used in data analysis, such as hypothesis testing, regression analysis, and time series analysis.
• Machine Learning: This core course introduces you to machine learning algorithms and their applications in various domains.
• Data Management and Databases: You'll learn to efficiently store, organise, and retrieve data from various database systems. 
• Data Visualisation: This course focuses on creating clear and informative visualisations to communicate insights from data analysis. 

Elective Courses

Many programs offer electives that allow you to specialise in a particular area of data science, such as: 

• Natural Language Processing (NLP) 
• Computer Vision
• Big Data Analytics 
• Business Analytics
• Healthcare Analytics 

Capstone Project: Most programs culminate in a capstone project where you'll apply the skills learned throughout the program to a real-world data science problem. This is a great opportunity to showcase your abilities and gain practical experience. 

What are the Admission Requirements for MS in Data Science in the USA?

Admission requirements for MS in Data Science (MSDS) programs in the USA can vary between universities, but there are some general requirements most programs will look for:

Academic Background:

• Bachelor's degree: A four-year bachelor's degree from an accredited institution in a relevant field is typically required. This could be computer science, statistics, mathematics, engineering, or a similar quantitative discipline.
• Minimum GPA: Most programs require a minimum GPA, often around 3.0 on a 4.0 scale. Some universities might have higher requirements for competitive programs.

Standardised Tests:

• GRE (Graduate Record Examinations): Many programs require the GRE, but a growing number are waiving this requirement. Check with the specific program you're interested in.
• English Language Proficiency Tests: If English isn't your native language, you'll likely need to submit a TOEFL or IELTS score to demonstrate English proficiency. The overall generic score of IELTS is 6.0 - 7.0,  and TOEFL score is 80-90. 

Other Requirements:

• Statement of Purpose (SOP): This essay allows you to explain your motivations for pursuing an MSDS, your relevant skills and experiences, and your career goals.
• Letter of Recommendation (LOR): Strong recommendation letters from professors or supervisors can add weight to your application.
• Work Experience: While not always mandatory, some programs might prefer applicants with relevant work experience in data analysis, research, or a related field.

Additional Considerations:

• Portfolio/Coding Samples: Some programs might ask for a portfolio showcasing your data science projects or coding abilities.
• Interview: You might be invited for an interview to discuss your background and qualifications in more detail.

*Remember, these are general guidelines. For the most up-to-date and detailed information, it's always best to check the official admissions website of the specific program you're interested in. 

Visa Requirements

• F-1 Student Visa: common visa for students pursuing academic studies in the USA.
  • Form I-20: After being admitted to a program and submitting proof of financial resources, the university will issue a Form I-20. This form is necessary to apply for an F-1 visa.
  • SEVIS Fee: You must pay the SEVIS (Student and Exchange Visitor Information System) fee before applying for a visa.
  • Visa Application (DS-160): Complete the DS-160 online non-immigrant visa application form.
  • Visa Interview: Schedule and attend a visa interview at a U.S. Embassy or Consulate. 
  • Required documents typically include:
    • Visa application fee payment receipt
    • Passport-sized photograph (as per the U.S. visa photo requirements)
    • Academic transcripts and standardised test scores
    • Financial evidence showing proof of funds to cover tuition and living expenses
    • Admission letter from the university
• Interview Preparation: Be prepared to answer questions regarding your academic plans, reasons for choosing the specific university and program, and your post-graduation plans.

What is the Application Timeline for MS in Data Science in USA? 

The application timeline for a Master's in Data Science (MSDS) program in the USA typically follows a two-semester cycle (Fall and Spring) with deadlines spread throughout the year. 

Here's a breakdown of the key phases:

What is the Cost of Studying MS in Data Science in USA?

The cost of studying a Master's in Data Science (MSDS) in the USA can vary depending on several factors.

• University Type: Public universities are often less expensive for in-state students, but private universities charge higher tuition costs for all students.
• Location: Programs in major cities or famous colleges may have greater expenses than those in smaller locations.
• Program Focus: Data science specialisations like artificial intelligence or healthcare analytics may incur additional software or resource costs.

Here's a breakdown of the estimated costs to consider:

• Tuition Fees: MSDS programs in the USA typically cost between INR 20L to INR 62L annually (USD 24,852 and USD 74,450 USD).
• Living Expenses: The cost of living varies greatly according to location. Housing, food, and other expenses typically cost between INR 8L to INR 16L (USD 10,000 and USD 20,000) annually.
• Health Insurance: Health insurance is often required for overseas students and can cost several thousand dollars annually.

Overall Costs:

Considering these factors, the total cost of pursuing an MSDS in the USA can range from INR 28L to INR 70L (USD 34,852 to USD 94,450) per year. This is a broad estimate, and the actual cost for you might be higher or lower depending on your specific situation.

Financial Aid Options:

Several financial aid opportunities might reduce the cost of an MSDS program:

• Scholarships: Find scholarships for international students pursuing MSDS degrees.
• Assistantships: Some colleges offer graduate students teaching or research assistantships, which provide financial support and useful work experience.

What is the Cost of Living in the USA?

The cost of living in the United States can vary greatly based on many different factors. Major cities such as New York, San Francisco, and Los Angeles are far more expensive than smaller towns or rural locations. Your spending choices on groceries, dining out, entertainment, and transportation greatly impact your overall cost of living.

Let's look at the cost of living in the USA mentioned below:

Note: The costs provided above are approximate and can fluctuate based on changing currency exchange rates.

What are the Top Scholarships for MS in Data Science in USA?

Many colleges that offer MS in Data Science programs have scholarship programs designed exclusively for these programs. These scholarships may cover part of or possibly the entire cost of tuition.

To learn more about these scholarships, check the financial aid section of each university's program website.

The top scholarships in the USA for the MS in Data Science are mentioned below:

Note: The costs provided above are approximate and can fluctuate based on changing currency exchange rates.

What are the Top Jobs after MS in Data Science in USA?

A Master's in Data Science (MSDS) degree allows graduates to gather knowledge from huge amounts of data, a skill in high demand in various businesses. 

The table below discusses some of the most popular job paths for MSDS graduates in the United States and their average pay scales.

Note: The costs provided above are approximate and can fluctuate based on changing currency exchange rates.

Which are the Top Recruiters after  MS in Data Science in USA?

Did you get a degree in Data Science? Well done! You have the abilities that corporations want. But, with so many alternatives, where do you begin your job search? 

This table lists the top fields in which graduates with a Master's in Data Science (MS in Data Science) from US universities are most sought after. 

These disciplines provide intriguing employment prospects and excellent incomes for data scientists.

Here are the top recruiters: 

Internship Opportunities

Your MS in Data Science has given you great tools, and internships are an excellent way to get practical experience. 

Here's how to find the desired data science internships in the United States:

• University: Use career services and academics to make contacts.
• Online: Check job boards, data science platforms, and firm websites.
• Target companies include tech giants, consultancy businesses, and startups.
• Customise applications, display work through a portfolio website and enhance your coding skills.

Work Permit of MS in USA

After completing an MS in Data Science in the United States, international students usually apply for the following work permits:

• Optional Practical Training (OPT) allows students to work for up to 12 months in the United States after finishing their degree. 
• H-1B Visa: A non-immigrant visa that allows U.S. employers to hire foreign workers in specialised occupations that require theoretical or technical knowledge in a certain subject.