10 Most Affordable Data Science Programs for Masters In the USA

What if you could achieve your academic and professional goals without compromising your financial stability? Look, picture yourself as a data scientist, transforming raw data into meaningful insights, all without the looming burden of student loans. Sounds ideal, right? Many science students dream of earning a Master of Science in Data Science but are deterred by the sky-touching costs of education.

In this guide, we will help you out with ten of the most affordable data science programs in the USA. These programs may, both online programs and on-campus programs, offer exceptional education in data visualization, analytics, and more, allowing you to advance your career without the financial strain. Ready to find a data science degree that fits your budget and aspirations? Let’s get started!

Affordable Universities For MS in Data Science Degree Program in the USA

Choosing an affordable degree in business analytics and data science means you can gain valuable skills and knowledge without the burden of overwhelming debt, setting you up for success in the data-driven job market. Here are some top US universities for masters in data science which are affordable too.

QS Ranking	University Name	Program Name	Average Tuition Fees (USD)
72	University of Washington	MS in Data Science	39,000
146	University of Wisconsin	MS in Data Science	41,000
255	University of Maryland	Masters in Data Science and Analytics	20,000
61	New York University	MS in Data Science	43,000
12	University of Pennsylvania	MS in Data Science	25,000
8	Columbia University	MS in Data Science	25,000
16	Yale University	MS in Data Science	40,000
4	Harvard University	MS in Data Science	51,000
5	Stanford University	MS in Data Science	60,000
203	University of Minnesota	MS in Data Science	16,368

Why Study Master of Science in Data Science Program?

It is unwise not to consider a Master of Science in Data Science as a strategic educational path for anyone aspiring to succeed in the data science industry which is rapidly growing all over the world. Students are trained to a level where they are capable of understanding and deriving valuable information from large datasets and assist in decision making and innovations across the various sectors. As the need for data increases in the contemporary society, pursuing an MS in Data Science will open door to many career opportunities and create the platform for a prosperous career.

Reasons to Study a Master of Science in Data Science:

High Demand for Data Scientists

The employment of data analysis in an organization is becoming more and more prevalent across all industries due to its efficiency in offering solutions to problems, hence increasing the demand for data scientists. This skilled demand makes one be competitive in the job market when one holds an MS in Data Science in USA. Some skills are more sought after then others, and the ability to parse and make sense of large data sets can be incredibly valuable, as can an understanding of how to turn data into decisions. This is further boosted by the high demand to ensure there is increased employment chances and job satisfaction within the tech-focused and ever-developing market.

Lucrative Career Opportunities

Data scientists are among the highest-paid professionals in the tech industry. An advanced degree in data science can significantly boost your earning potential and open doors to high-paying roles. The combination of technical expertise and analytical skills that you gain through an MS in Data Science makes you highly valuable to employers, who are willing to offer competitive salaries to attract top talent. This degree can lead to roles such as data analyst, data engineer, machine learning engineer, and more, each offering substantial financial rewards.

Diverse Industry Applications

Data science skills are applicable in various fields such as healthcare, finance, marketing, and technology. This degree allows you to work in the industry that best aligns with your interests and passions. For instance, in healthcare, data scientists can analyze patient data to improve treatment outcomes. In finance, they can develop models to predict market trends and manage risks. The versatility of data science means you can choose a career path that excites you, knowing your skills will be in demand.

Cutting-Edge Skills and Knowledge

It offers specialization in vital subjects such as Artificial Intelligence, Data Analysis, and Machine Learning among others with an assurance of keeping abreast with emerging trends that relate to technology. You comprehended how to apply the most up-to-date technologies and instruments to manipulate, store and analyze big data using Python, R, SQL, and Hadoop. Apart from enriching your own knowledge, it also helps you apply it specifically in creating new ideas and sustainability in this, constantly developing tech industry.

Hands-On Experience

Many MS in Data Science programs incorporate practical projects and real-world applications, giving you hands-on experience with the tools and techniques used by professionals in the field. This practical approach helps bridge the gap between theory and practice, allowing you to apply what you’ve learned to real-world scenarios. Capstone projects, internships, and collaborations with industry partners are common components of these programs, providing invaluable experience and a strong portfolio to showcase to potential employers.

Networking and Professional Growth

Attending classes and doing coursework for a master’s degree gives one a chance to meet and engage with fellow students, teachers as well as professional people who work in the respective fields that one is interested in and here a network is formed which can be helpful in giving one a boost in his or her career and also act as a source of advice and referral. Another important facet of career building is networking and an opportunity to learn from reputable professionals within a graduate program is numerous. These contact opportunities can facilitate career openings and cooperation with others in the long run at different stages in your career.

Eligibility Criteria For Data Science Masters Degree In The USA

To pursue a Master’s in Data Science in the USA, there are specific criteria that students must meet for admission. These requirements vary across universities and programs, but there are certain general requirements that are common to most institutions. Here is a detailed breakdown of the eligibility criteria:

Educational Requirements

Students must have a completed bachelor’s degree from an accredited institution. The degree should be in data science or an equivalent engineering course. A minimum GPA of 3.0 from the last two years of graded full-time study is required. This GPA is calculated based on the student’s performance in the last two years of their undergraduate studies.

Language Proficiency Test Scores

Non-native English speakers must submit their English language proficiency results. The accepted scores are:

• IELTS: 6.0 to 7.0
• TOEFL (iBT): 90-100

Standardized Test Scores

GRE or GMAT Scores  – Some universities in the USA may require test scores from the GRE or GMAT tests. The average scores are:

• GMAT: 550-675
• GRE: 280-330

Work Experience

Data science programs typically require at least two years of relevant work experience. This experience should be in a field related to data science or a similar field. Relevant work experience can include roles such as data analyst, data engineer, business analyst, or any position that involves working with data to derive insights and inform decision-making.

Documentation

International students must have a valid passport and a student visa to study in the USA. The process for obtaining a student visa involves several steps, including securing admission to a SEVP-approved school, receiving a Form I-20 from the school, paying the SEVIS fee, and scheduling an appointment for a visa interview at a U.S. embassy or consulate. Indian students, in particular, should apply for their student visa at least three months before their intended departure to ensure sufficient processing time.

Jobs After Master of Science in Data Science in the USA

Graduates with a Master of Science in Data Science in the USA are well-positioned for a variety of high-demand roles.  These roles span across diverse industries such as technology, finance, healthcare, and marketing, where professionals are tasked with analyzing complex datasets, developing predictive models, and providing actionable insights to drive strategic decisions. Some common job titles are:

Job Role	Average Salary (USD)
Data Scientist	156,790
Machine Learning Engineer	123,284
Data Analyst	103,500
Business Intelligence (BI) Analyst	85,115
Data Engineer	82,222
Data Architect	125,256
Data Visualization Specialist	79,978
Analytics Engineer	82,222
Marketing Analyst	54,000

Available Scholarship For Master Programs in Data Science

Pursuing an MS in Data Science is a fantastic way to launch a career as a data science professional, but let’s face it, the cost can be terrifying. However, the good news is, there are plenty of affordable programs along with the scholarships in the USA that provide top-notch education without breaking the bank.

These programs offer a solid foundation in data visualization, statistical analysis, and machine learning, ensuring you get both the theory and the hands-on experience needed in the field. You’ll find yourself working on real-world projects, tackling actual datasets, and gaining practical skills that employers crave.

Here are some scholarships for master’s programs in Data Science:

Master of Data Science (MDS) International Scholarship

The Master of Data Science (MDS) International Scholarship at the University of British Columbia (UBC) Okanagan provides a one-time award of $5,000, typically paid out over two terms. This scholarship is aimed at international students who have been accepted into the Master of Data Science program at UBC Okanagan. The award is designed to help ease the financial burden of pursuing an advanced degree and is aligned with the admission period deadlines for the program.

ACM SIGHPC Computational and Data Science Fellowship

The ACM SIGHPC Computational and Data Science Fellowship offers substantial financial support of $15,000 annually, for up to two years, to international students enrolled in data science graduate programs at various universities. This fellowship is particularly aimed at students with a background in other disciplines who demonstrate a commitment to increasing diversity in the field of data science. The application deadlines vary by university, making it important for candidates to check specific university timelines.

Acxiom Diversity Scholarship

The Acxiom Diversity Scholarship provides up to $5,000 as a one-time award to international students who are women, veterans, minorities, or individuals with a disability. Eligible students must be enrolled in a data science program at an accredited U.S. institution. This scholarship supports the inclusion of underrepresented groups in the field of data science. Application deadlines vary by university, so applicants should verify specific dates with their institution.

Great Minds in STEM Scholarship

The Great Minds in STEM Scholarship offers awards ranging from $500 to $5,000 as a one-time award to international students enrolled in STEM fields, including data science. To be eligible, students must have a minimum GPA of 3.0 and demonstrate a commitment to community engagement. This scholarship aims to support students who are actively contributing to their communities while pursuing their education. Deadlines for this scholarship vary by university.

Oracle Corporate Scholars Program

The Oracle Corporate Scholars Program provides a one-time award of $10,000 to international students who are African American, Hispanic, or Native American. Eligible students must be pursuing a major in computer science, computer engineering, business, mathematics, marketing, legal, cybersecurity, product development, or a related field.

This program is designed to support minority students in achieving their educational and professional goals. The deadlines for application vary by university, so students should check with their respective institutions for specific dates.

Insider Tips To Apply For Masters in Data Science in the USA

Applying for a master’s degree program in data science in the USA can be a competitive and intricate process. Here are some insider tips to help you navigate the application process and increase your chances of acceptance into a top data science master’s program.

Highlight Your Quantitative Background

Admissions committees look for candidates with a strong quantitative background. If you have taken courses in mathematics, statistics, or computer science, be sure to highlight these on your application. A Master of Science in Statistics or relevant coursework can make your application stand out.

Showcase Relevant Experience

Practical experience with large amounts of data is crucial. Whether through internships, research projects, or professional roles, data science students should demonstrate their ability to handle and analyze data. Highlight any hands-on experience in your application to show that you are prepared for the rigors of a data science master’s program.

Research Each Program Thoroughly

Every degree program in data science has unique strengths and focuses. Some might excel in machine learning, while others might offer more comprehensive training in data visualization. Investigate each program’s curriculum to ensure it aligns with your career goals. This is especially important if you are considering an online master’s degree in data science.

Leverage Online and Affordable Options

For those balancing work and study, an affordable online master’s can be an excellent option. These programs offer flexibility and can often be more cost-effective. When researching, look for an online master’s degree in data science that provides robust support and resources for remote students.

Prepare for Standardized Tests

Many master’s degree programs in data science require GRE or good GMAT scores. Prepare well in advance to achieve competitive scores. High test scores can bolster your application, especially if your undergraduate GPA is not as strong.

Build a Strong Statement of Purpose

Your statement of purpose should clearly articulate your reasons for pursuing a data science master’s, your career goals, and why you are interested in the specific program. Personalize each application to reflect the unique offerings of the program you are applying to.

Gather Strong Recommendations

Letters of recommendation from professors or professionals who can attest to your quantitative skills and experience with data can greatly enhance your application. Choose recommenders who know you well and can speak to your abilities and potential in a master’s program.

Emphasize Technical Skills

Proficiency in programming languages such as Python, R, and SQL is essential for data science students. Be sure to include any certifications or courses you have completed in these areas. Master’s degree programs in data science look for candidates who are technically proficient and ready to tackle complex data challenges.

Highlight Online Learning Success

If you are applying for an online master’s degree program in computer science, demonstrate your ability to succeed in an online learning environment. Highlight any previous online courses or certifications you have completed successfully.

Financial Planning

Lastly, plan your finances carefully. Look for scholarships, assistantships, and other financial aid options offered by the program. Affordable master’s degree programs in data science can provide quality education without causing financial strain, so consider these options seriously.

Conclusion

In the end, pursuing a Master of Science in Data Science doesn’t have to be expensive. By choosing one of the affordable programs we’ve highlighted, you can gain the skills and knowledge needed for a successful career without financial stress. These programs offer quality education in data science, preparing you for a variety of high-demand roles in the industry.

To make an informed decision, list your top program choices and compare key factors like tuition, curriculum, and additional costs. This approach will help you find the best fit for your budget and career goals. Good luck on your educational journey!

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