Eligibility Criteria and requirement

When considering pursuing a Master of Science in Data Science at the State University of New York, Albany (SUNY Albany), it’s crucial to understand the eligibility criteria.

Meeting these requirements is the first step towards embarking on an exciting academic journey that will equip you with the skills and knowledge needed in the dynamic field of data science.

Requirement Description
Academic Bachelor’s degree from an accredited institution. This degree should ideally be in a related field such as computer science, statistics, mathematics, or a closely related discipline
GPA Students must have a GPA of at least 3.2 to qualify.
English Language Proficiency
  • PTE - 53
  • TOEFL - 79
  • IELTS - 6.5


Bachelor's GPA Requirement

Any degree

UG Requirement

Test Scores Requirement


English Proficiency Exams Waiver:https://www.albany.edu/graduate/admissions/information-international-applicants

Program Eligibility URL:https://www.albany.edu/graduate/admissions/information-international-applicants

Albany MSc in Data Science Class Profile

The class profile for the SUNY Albany MS in Data Science (MS in DS) program is a testament to the program’s commitment to fostering diversity, excellence, and innovation in the world of data science.

  • Academic Excellence: The students represent a diverse range of academic backgrounds, including computer science, engineering, mathematics, and more. Their academic achievements, coupled with a passion for data science, form the foundation of a dynamic and intellectually vibrant learning community.
  • Global Perspective: The SUNY Albany MS in DS class profile boasts international representation, with students hailing from various countries. This global perspective enriches discussions, fosters cross-cultural collaboration, and prepares graduates for success in a data-driven global workforce.
  • Varied Industry Experience: Students in the program bring with them a wealth of professional experience from diverse industries. This diversity of experience enhances peer learning, bringing real-world insights into the classroom, and creating opportunities for collaboration on multidisciplinary data projects.
  • Dedication to Innovation: The class profile reflects a shared dedication to innovation. Students are drawn to the program by their enthusiasm for exploring cutting-edge technologies, conducting groundbreaking research, and making a meaningful impact through data science.


Avg. Bachelors GPA / Percentage

About University of Albany

Nestled in the vibrant capital city of Albany, New York, the State University of New York at Albany, commonly known as SUNY Albany, represents an educational institution of distinction. With a rich history dating back to its founding in 1844, SUNY Albany has grown to become a dynamic and influential center for higher learning in the Empire State.

  • A Campus Steeped in History: SUNY Albany’s picturesque Uptown Campus is not only a hub of modern academia but also a place steeped in history. The historic heart of the campus is the iconic University Hall, a neoclassical masterpiece that has served as a symbol of knowledge and inspiration for generations of students.
  • A Diverse Academic Landscape: SUNY Albany offers a wide array of academic programs, catering to a diverse student body. Whether you’re interested in the sciences, humanities, social sciences, business, or the arts, SUNY Albany provides a range of undergraduate and graduate programs to suit your educational and career aspirations.
  • Faculty Excellence: The university takes pride in its world-class faculty, comprised of accomplished researchers, scholars, and educators. These dedicated professionals bring their expertise to the classroom, ensuring that students receive a top-notch education that is both intellectually stimulating and practically relevant.
  • Research and Innovation: SUNY Albany has earned a reputation as a research-intensive institution. It actively encourages faculty and students to engage in cutting-edge research across various disciplines. The university’s commitment to innovation is further evident through its involvement in pioneering projects and collaborations that have a global impact.
  • Student Life: Beyond academics, SUNY Albany offers a vibrant student life experience. Students have the opportunity to participate in clubs, organizations, and events that cater to a wide range of interests. This creates a dynamic and inclusive community where friendships are formed, passions are explored, and personal growth is nurtured.
  • Albany, the Capital City: SUNY Albany’s location in Albany, New York, is advantageous in many ways. As the state’s capital, Albany provides unique opportunities for internships, civic engagement, and cultural experiences. The city’s rich history and diverse cultural offerings ensure that there’s always something to discover beyond the classroom.
  • A Bright Future: As SUNY Albany continues to evolve and adapt to the changing landscape of higher education, it remains dedicated to providing students with a high-quality education that prepares them for success in the 21st century. The university’s commitment to excellence, innovation, and inclusivity makes it a remarkable institution to embark on your academic journey.

Albany MSc in Data Science Program Description

The SUNY Albany MS in DS program stands at the forefront of modern education, meeting the growing demand for skilled data professionals in today’s data-driven world. This program represents the pinnacle of academic excellence and practical relevance, equipping students with the knowledge and skills needed to excel in the ever-evolving field of data science.

  • A Comprehensive Curriculum: At the core of the SUNY Albany MS in DS program is a comprehensive curriculum designed to provide students with a profound understanding of data science principles and practices. Through a carefully crafted series of courses, students embark on a journey that covers a wide spectrum of topics, from foundational data analysis techniques to advanced machine learning algorithms.
  • Hands-On Learning: Theory is essential, but it’s the application of knowledge that truly sets this program apart. Students in the SUNY Albany MS in DS program engage in hands-on learning experiences that bridge the gap between theory and real-world application. These experiences include tackling complex data challenges, working on cutting-edge research projects, and collaborating with industry partners.
  • Expert Faculty Guidance: Our distinguished faculty, experts in the field of data science, are committed to guiding students through their academic journey. They bring their wealth of experience and research expertise into the classroom, fostering an environment of intellectual curiosity and exploration. Faculty members mentor students, ensuring they gain not only the theoretical foundation but also the practical skills necessary to thrive.
  • Tailored Specializations: Recognizing that data science is a multidisciplinary field, the program offers specialized tracks that allow students to focus on their areas of interest. Whether your passion lies in data engineering, data analytics, or machine learning, the SUNY Albany MS in DS program provides the flexibility to tailor your education to your career goals.
  • Real-World Impact: One of the hallmarks of the program is its emphasis on producing graduates who can make a real-world impact. Students are encouraged to engage in research that addresses pressing data challenges, positioning them to be catalysts for positive change in various industries.

Program URL:https://www.albany.edu/math/programs/ms-data-science

Albany MSc in Data Science Program Curriculum

  • Advanced Linear Algebra
  • Introduction to Stochastic Processes I
  • Additional practicum course

Choose and two courses


  • Advanced Linear Algebra
  • Introduction to Stochastic Processes I
  • Additional practicum course

Choose and two courses

  • Modern Computing for Mathematicians

The journey through higher education isn’t just about coursework; it’s also about personal growth, networking, and forging lasting connections. At SUNY Albany, these aspects come to life through a vibrant array of clubs and associations that cater to the diverse interests and aspirations of students.

Clubs and association Data Science program.

  • Data Science Enthusiasts’ Club: The Data Science Enthusiasts’ Club is a haven for students passionate about all things data. Here, members immerse themselves in discussions, workshops, and hands-on projects related to data science. The club serves as a dynamic complement to the academic experience, allowing SUNY Albany MS in DS students to deepen their knowledge and share their insights with peers who share their enthusiasm.
  • Networking Opportunities: In the world of data science, networking is paramount. The SUNY Albany MS in DS program recognizes this, and several associations provide students with the chance to build connections within the industry. These connections extend to alumni networks, where experienced professionals offer mentorship and guidance to aspiring data scientists.
  • Interdisciplinary Collaboration: Data science often thrives at the intersection of various disciplines. SUNY Albany MS in DS students have the opportunity to collaborate with members of clubs and associations from other academic backgrounds, fostering a diverse and innovative approach to data challenges.
  • Personal and Professional Development: Clubs and associations offer platforms for personal and professional growth. They host workshops on critical skills such as data visualization, coding languages, and project management, enhancing the skill set of SUNY Albany MS in DS students beyond the classroom.
  • Community Engagement: Beyond academics, SUNY Albany MS in DS students can engage in clubs and associations focused on community service and social impact. These initiatives allow students to apply their data skills for the greater good, making a positive contribution to the community.
  • Cultural and Diversity Clubs: SUNY Albany embraces diversity, and its clubs and associations reflect this commitment. Students from diverse backgrounds have the opportunity to join cultural clubs that celebrate their heritage and promote understanding and inclusivity.
  • Leadership Opportunities: Active involvement in clubs and associations can also lead to leadership roles. Serving as a club officer or organizer offers valuable leadership experience that can enhance a student’s resume and personal development.

At SUNY Albany, the pursuit of excellence extends beyond the classroom. Students enrolled in the SUNY Albany MS in Data Science (MS in DS) program not only benefit from outstanding academic opportunities but also have a wealth of extracurricular activities at their fingertips, enhancing their overall university experience.

  • Data Challenges and Hackathons:
  • Data Science Workshops and Seminars
  • Industry Speaker Series
  • Research Opportunities
  • Data Science Club and Student Associations
  • Career Development Workshops
  • Community Outreach

Program Fee & related expenses



Fees Total
Fall 2023 $11,780 $2,396  $14,176
Spring 2024 $11,780 $2,396 $14,176
Total $23,560 $4,792 $28,773

Total for Fall & Spring Semesters: $28,773.28

Studying abroad can be an exciting and life-changing experience, but it's essential to plan your finances carefully. One crucial aspect of this planning is understanding the costs associated with your academic journey.

Application Documents for Albany MSc in Data Science

Mandatory Application Documents

  • Passport

  • 10th Marksheet

  • 12th Marksheet

  • College Transcript

  • Semester Marksheets

  • Consolidated Marksheets

  • Graduation/Provisional Certificate


    Albany MSc in Data Science Deadlines

    Albany MSc in Data Science Admission Process

    Admission to the SUNY Albany MS in Data Science (MS in DS) program is a pivotal step on your journey to becoming a data scientist. Here’s a comprehensive overview of the admission process to help you navigate this exciting path:

    • Online Application: Begin your journey by completing the online application. Ensure that you provide accurate and up-to-date information, as this will be the basis for your admission review.
    • Academic Transcripts: Submit official transcripts from all previously attended institutions. This includes undergraduate and any relevant postgraduate coursework. The admissions committee will evaluate your academic background to determine eligibility for the program.
    • English Proficiency: If English is not your native language, you may need to provide proof of English proficiency through tests like TOEFL or IELTS. Be sure to check the program’s language requirements and meet them accordingly.
    • Application Fee: There is usually an application fee associated with applying to graduate programs. Ensure that you pay the fee as instructed during the application process.
    • Deadlines: Pay close attention to application deadlines. Missing deadlines can result in your application not being considered for the desired intake.

    Want to Score 8+ Band in IELTS?

    Kickstart your IELTS Prep for FREE and get access to LIVE classes, study material, assignments, mocks, and much more!

    Employment, Salary & Career Statistics


    Average Starting Salary

    Companies Recruiting Albany MSc in Data Science Graduates

    One of the most compelling aspects of the SUNY Albany MS in Data Science (MS in DS) program is its ability to produce graduates who are in high demand among top employers. The program’s commitment to academic excellence and practical application of data science skills has attracted the attention of esteemed recruiters across various industries.

    • Leading Tech Companies: Tech giants recognize the value of graduates with expertise in data science, and they actively seek talent from the SUNY Albany MS in DS program. Companies such as Google, Amazon, Microsoft, and Apple have recruited graduates who have excelled in data science, machine learning, and artificial intelligence.
    • Financial Institutions: Financial institutions understand the significance of data-driven decision-making. Banking and financial organizations like JPMorgan Chase, Goldman Sachs, and Citibank have consistently recruited SUNY Albany MS in DS graduates to bolster their data analytics and risk management teams.
    • Healthcare and Pharmaceuticals: In the healthcare and pharmaceutical sectors, data plays a pivotal role in research, patient care, and drug development. Organizations like Pfizer, Johnson & Johnson, and the Mayo Clinic have tapped into the expertise of SUNY Albany MS in DS graduates to harness the power of data for advancements in healthcare.
    • E-commerce and Retail: E-commerce and retail companies, including Amazon, Walmart, and eBay, rely heavily on data analysis to enhance customer experiences and drive business growth. They have sought out SUNY Albany MS in DS alumni to fuel their data-driven strategies.
    • Government and Public Sector: In the public sector, government agencies at the federal, state, and local levels recognize the potential of data science in addressing complex societal issues. Agencies like the Department of Health and Human Services and the National Institutes of Health have recruited graduates to apply data insights to public policy and research.
    • Consulting Firms: Consulting firms like Deloitte, Accenture, and McKinsey & Company value the analytical prowess of SUNY Albany MS in DS graduates. These firms engage our alumni to provide data-driven solutions to their clients’ challenges.

    Albany MSc in Data Science Alumni Info

    • D.B.Woodside 
    • Priya Anand 
    • Harvey Milk
    • Ashley Massaro
    • Harold Gould
    • Harris Pastides
    • Awkwafina
    • Edward Burns
    • Theo Rossi
    • Jamie Gold
    • Tom Junod
    • Frances Allen

    Letter of Recommendation for Albany MSc in Data Science

    Your Letters of Recommendation (LORs) hold the power to illuminate your potential, character, and alignment with the SUNY Albany MS in DS program.

    suny albany ms in ds

    Selecting the right recommenders and guiding them effectively can greatly enhance your application’s strength:

    • Choosing Recommenders: When considering recommenders, prioritize individuals who have observed your academic, professional, or research capabilities closely. Opt for those who can provide specific anecdotes and insights that reflect your dedication and aptitude in computer science.
    • Aligning with the Program: Communicate to your recommenders the unique attributes of the SUNY Albany MS in DS program. Encourage them to highlight your skills, experiences, and qualities that align with the program’s values, such as innovation, collaboration, and a passion for technology.
    • Providing Context: Offer your recommenders context about your goals and aspirations. Explain why you’re drawn to the SUNY Albany MS in DS program and how it aligns with your long-term vision. This insight can help them tailor their letters to support your candidacy effectively.
    • Highlighting Accomplishments: Share a list of your accomplishments, projects, and experiences with your recommenders. This ensures they have a comprehensive understanding of your journey, enabling them to highlight specific instances that showcase your potential.
    • Guidance and Gratitude: Provide clear guidance on the qualities you’d like them to emphasize. For instance, if the SUNY Albany MS in DS program values teamwork and leadership, let them know about instances where you’ve excelled in these areas. Express your gratitude for their support in your pursuit of this transformative opportunity.
    • The Sum of Your Parts: Remember that LORs are one piece of your application puzzle. They work in tandem with your SOP, transcripts, and other components to present a holistic view of your candidacy. Approach your LORs with thoughtfulness, preparation, and an understanding of how they contribute to your narrative within the context of the SUNY Albany MS in CS program.

    Statement of Purpose for Albany MSc in Data Science

    Your Statement of Purpose (SOP) is more than just a piece of writing; it’s your opportunity to showcase your aspirations, dedication, and alignment with the SUNY Albany MS in DS program. Through your SOP, convey your passion for computer science, your desire to excel, and how the program’s unique offerings resonate with your goals.

    Importance of SOP:

    • The Gateway to Your Journey: Start your SOP with a compelling introduction that captures your enthusiasm for computer science. Mention how your journey led you to the SUNY Albany MS in DS program, highlighting what makes it the perfect fit for your academic and professional aspirations.
    • Aligning Your Goals: Illustrate how your goals align with the program’s values. Discuss the specializations, research opportunities, and practical learning experiences that intrigue you. Emphasize how these aspects will contribute to your growth as a computer scientist.
    • Showcasing Your Potential: Demonstrate your potential to thrive within the program. Share examples of projects, experiences, or challenges that highlight your technical skills, problem-solving ability, and adaptability—qualities that the SUNY Albany MS in DS program values.
    • Your Unique Contribution: Explain how you envision contributing to the program’s vibrant community. Discuss your interest in participating in clubs, associations, and collaborations, underscoring how your presence will enrich the experience for both yourself and your peers.
    • Your Journey Begins: Conclude your SOP with a forward-looking statement. Express your eagerness to embark on this transformative journey, the knowledge and skills you hope to acquire, and the impact you intend to make in the tech industry.

    Scholarships for International Students

    Pursuing a Master of Science in Data Science (MS in DS) at SUNY Albany is not just a transformative academic journey; it’s also an opportunity for international students to access a world-class education. To facilitate this experience, the university offers a range of scholarships tailored to support and recognize the talent of international candidates interested in the SUNY Albany MS in DS program.

    Diversity Scholarship

    SUNY Albany values diversity and seeks to create an inclusive academic community. The Diversity Scholarship is designed to celebrate and support international students who bring unique perspectives and experiences to the program. This scholarship provides financial assistance to outstanding candidates, enabling them to pursue their data science aspirations at SUNY Albany.

    Excellence in Data Science Scholarship

    For international applicants who demonstrate exceptional academic achievements and a strong passion for data science, the Excellence in Data Science Scholarship opens doors to a world-class education at SUNY Albany. This scholarship recognizes and rewards candidates who have the potential to excel in the program, fostering a community of high-achieving data scientists.

    Global Leadership Scholarship

    SUNY Albany recognizes the importance of nurturing future global leaders in data science. The Global Leadership Scholarship aims to empower international students who exhibit leadership qualities and a commitment to making a positive impact in the field. This scholarship provides support for those who aspire to drive innovation and change through data science.

    Why University of Albany Stands Out: A Closer Look

    In the landscape of data science programs, the SUNY Albany MS in DS program shines as a beacon of distinction. 

    • Innovative Curriculum and Specializations: At the heart of what makes the SUNY Albany MS in DS program exceptional is its innovative curriculum. The program is designed to offer a holistic understanding of data science principles while allowing students to specialize in their areas of interest. Whether you’re drawn to data analytics, machine learning, or data engineering, the program provides specialized tracks that cater to your career aspirations.
    • Faculty of Renowned Experts: Exceptional education hinges on exceptional educators. The SUNY Albany MS in DS program boasts a faculty of renowned experts in the field of data science. These dedicated professors bring their expertise and research insights into the classroom, fostering an environment of intellectual curiosity and practical application.
    • Real-World Applications and Research: What truly distinguishes this program is its commitment to real-world applications and research. Students have the opportunity to engage in hands-on projects, collaborate with industry partners, and tackle pressing data challenges. This practical experience positions graduates as problem solvers and innovators, ready to make an impact in the data-driven world.
    • Strong Industry Connections: The program’s strong connections with industry partners provide students with valuable networking opportunities and access to internships and job placements. This bridge between academia and industry ensures that SUNY Albany MS in DS graduates are well-prepared for the demands of the job market.
    • Commitment to Diversity and Inclusivity: SUNY Albany takes pride in fostering a diverse and inclusive academic community. Students from varied backgrounds come together to collaborate, share ideas, and learn from one another. This diversity of perspectives enriches the educational experience and prepares graduates for a globalized workforce.
    • Albany: A Thriving Data Hub: The program’s location in Albany, New York, is strategic. As the state’s capital, Albany is a burgeoning hub for technology and innovation. Students benefit from proximity to tech companies, research institutions, and government agencies, creating a dynamic environment for learning and career opportunities.

    Albany Contact Information

    Useful Links

    Photos & Videos of Albany MSc in Data Science

    suny albnay ms in ds


    Deciding whether to pursue a Master of Science in Data Science at SUNY Albany is a significant choice, and it’s only natural to weigh the factors carefully. Let’s recap some key considerations to help you determine if the SUNY Albany MS in DS program aligns with your academic and career goals.

    • Academic Excellence: The foundation of the SUNY Albany MS in DS program is its commitment to academic excellence. The curriculum is thoughtfully designed to provide a comprehensive understanding of data science principles and practices. If you’re seeking a program that combines rigorous academic standards with practical application, SUNY Albany delivers.
    • Faculty Expertise: The program is enriched by a faculty of renowned experts in the field of data science. Their guidance, mentorship, and research contributions ensure that you receive a top-tier education. If learning from the best and engaging with industry leaders appeals to you, SUNY Albany is an excellent choice.
    • Research and Innovation: SUNY Albany actively promotes research and innovation in data science. If you have a passion for exploring cutting-edge technologies, working on real-world projects, and contributing to the advancement of the field, you’ll find ample opportunities here.
    • Career Prospects: Consider your career aspirations. The SUNY Albany MS in DS program is designed to prepare graduates for success in various industries, from tech giants to healthcare, finance, and beyond. The program’s strong industry connections and top recruiters are a testament to the career prospects it offers.
    • Scholarship Opportunities: For international students, SUNY Albany offers scholarship opportunities that can ease the financial burden of pursuing a data science education. If you’re an international candidate with a passion for data science, these scholarships can make your dream of studying in the United States more achievable.
    • Community and Extracurriculars: Beyond academics, SUNY Albany fosters a vibrant community with a range of extracurricular activities, clubs, and associations. This enriching environment allows you to network, collaborate, and grow personally and professionally.

    Ask a Question

    Have Queries about University of Albany, The State University of New York, Albany (SUNY Albany)?

    Get Answers from Alums

    I want to become a data scientist...what should I choose in my masters...CS or data science?Or Can I do my masters in CS and become a data scientist ?I'm a CS major !?

    Data Science is an important aspect of many industries because it helps people understand big data and how it can be used effectively in businesses or organisations with the scope of communication and programming. Data science works with structured and unstructured data, which subject matter experts sort to form a product or explanatory analysis. Data Science has advanced technology and made it easier to connect and communicate. Masters in Data Science Course Eligibility:

    English Proficiency Test: IELTS or PTE or TOEFL
    Entrance Exam: GRE and GMAT (depends on the specific university)
    Bachelor’s degree from a relevant university
    Letter of Recommendation
    Over 90% of individuals working in this field pursue an MS in Data Science abroad because the career requires an explicit understanding of the methods, modules, and processes. The Masters of Data Science programme is popular among Indian students due to the broad scope of learning, growth, and career opportunities. The most common university programme is the MSc Data Science or MS Data Science. If you have any further questions just ask me.


    I am a BCom student will I be able to do MS in data science and data analytics or MBA in business analytics I checked most of them want 4-year UG degree is there any options?

    Yes, you can do an MS in data science and data analytics or MBA in business analytics. Business Analytics possibilities as fundamental companies undertake data-driven, technology-focused methods at some stage in nearly every industry.

    One of the best options is the Wake Forest Master of Science in Business Analytics (MSBA) diploma program. You will find out about the foremost methodologies to have a look at analytics to business enterprise challenges at some stage in a variety of functions, which consist of finance, marketing, operations, and human resources. You will additionally learn about the language of enterprise and how to work correctly in organizations while successfully speaking the effects of your analysis. Graduates of the Wake Forest MSBA software will be equipped with marketable knowledge valued via the usage of the use of pinnacle employers:


    • Ability to turn out to be conscious of and outline commercial enterprise corporation troubles that can be resolved by the use of archives and analytics.
    • Knowledge to determine the excellent analytical methodology to tackle modern company challenges.
    • Expertise in suitable habits precious analyses with a thorough draw close of the methodology and assumptions.
    • Confidence and manageability to correctly talk the outcomes of these analyses to all stakeholders.


    • To be eligible for the MSBA program, you have to keep or be pursuing a bachelor’s diploma from an approved institution.
    • Successful completion of coursework in calculus and records is required.
    • Our utility is designed for modern college graduates with confined or no full-time, post-graduate work experience.
    I want to do MS in data science in USA . The study must be finished around 20 lakhs . Could you suggest me any good Universities with high placement opportunities?

    Computer Science is the study of theory, engineering, experimentation that form the basis for the design and effectiveness of computers. It involves the study of algorithms and their application in the real world. Computer Science can be defined as the study of automating algorithmic processes that scale. It is the scientific and practical approach to computation and its applications and the systematic study of the feasibility, structure, expression, and mechanization of the methodical procedures (or algorithms) that is the basis of the acquisition, representation, processing, storage, communication of, and access to, information. The most important aspect of a Masters (MS) in Computer Science is problem-solving. Students study the design, development and analysis of software and hardware used to solve problems in a variety of business, scientific and social contexts.

    Pursuing data science courses opens various career avenues to students in USA and also in many other countries because a degree from the USA is recognised and demanded globally. Furthermore, data science in USA is a most sought-after program offering lucrative career options for the following reasons.

    Top Universities: The US universities are home of many well acclaimed universities for data science degree programs. Some US university ranking data science is on the Top 10, Top 50, and even on Top 100 globally in various ranking surveys. MIT, Harvard, and Stanford are some that have ranked in the Top 10 QS World University Rankings 2023.

    Scope: The scope for data science graduates in the USA are great, along with a lot of exposure. The US Bureau of Labour Statistics projects around 32% employment growth for a data scientist between 2020 to 2030. Also, during this period, it is expected that 19,800 jobs would open up in the decade.

    Better Payscale: US is among the top nations offering the highest pay for the data science professionals. The mean annual wage of a data scientist in USA is 108,660 USD which is around 52.24 USD per hour. The best paid 25 percent of the data scientists earn 130,370 USD per year, while the lowest paid 25 percent made around 71,790 USD. 



    Data Science students deal mainly with the data and spend a lot of time in the process of collecting, cleaning, and wrangling data. Few of the courses are listed below :

    Advanced Programming Techniques
    Data Acquisition / Management
    Computational Math
    Visual Analytics
    Statistics and Probability
    Mathematical Modeling Techniques
    Simulation and Modeling Techniques
    Business Analytics and Data Mining
    Machine Learning and Big Data
    Web Analytics
    R Programming

    List of Top Universities To Study Data Science in USA

    There are many data science universities in USA offering different levels of courses. Most of them are recognised globally for their quality education and infrastructure. To help you in choosing the best university, here we have curated a list of top universities for data science in USA.

    -Harvard University
    -Columbia University
    -Yale University
    -University of California Berkeley
    -Northwestern University

    Admission Requirements and Eligibility Criteria For Data Science in USA
    The requirements for data science courses in USA vary across the universities. As every university has their own eligibility criteria for the programs, some of the common ones are.

    -Educational Qualifications
    -Language Proficiency
    -GMAT or GRE Scores
    -Work Experience
    -Passport & Visa

    View All Questions