
Old Dominion University

Virginia
,United States

Program Name
Master of Science in Data Science and Analytics
Overview

Embarking on a journey towards a Master of Science in Data Science and Analytics at Old Dominion University (ODU) places students at the forefront of a rapidly evolving field where innovation meets analysis. This program is meticulously designed to equip students with advanced skills and knowledge in data science, enabling them to extract valuable insights from large datasets. The curriculum blends theoretical foundations with practical applications, ensuring that graduates are well-prepared to confront real-world challenges in various sectors, including healthcare, finance, technology, and business.
The Master of Science in Data Science and Analytics program features a comprehensive curriculum that covers a spectrum of topics, including statistical analysis, machine learning, data mining, and visualization techniques. Students will gain hands-on experience with the latest tools and technologies, such as Python, R, SQL, and Tableau, which are essential for data manipulation and interpretation. Not only will students learn how to analyze data, but they will also develop the skills to communicate their findings effectively to stakeholders through robust data storytelling techniques.
In addition to the core curriculum, ODU encourages students to engage in research opportunities that foster critical thinking and innovation. Faculty members, who are experts in their respective fields, mentor students, guiding them through complex research projects that can lead to publications and presentations at conferences. This collaborative environment cultivates creativity and encourages students to push the boundaries of traditional data analysis, paving the way for breakthroughs in the field.
Moreover, ODU is strategically located in Virginia, a hub for technology and business industries, providing students with ample internship and job placement opportunities. The university has established strong connections with local and national companies, facilitating networking events and career fairs that link students directly with potential employers. As a result, graduates from this program boast impressive employment rates and often secure positions in prestigious organizations shortly after completing their studies.
An added advantage of pursuing this degree at ODU is the vibrant community of diverse international students. With a 10% international student population, ODU promotes a multicultural environment where students can exchange ideas and perspectives, enriching their educational experience. This diversity not only enhances classroom discussions but also prepares students for working in global teams, an essential skill in today's interconnected world.
Overall, the Master of Science in Data Science and Analytics at Old Dominion University is an exceptional choice for students aiming to delve deeply into the world of data. The combination of a robust curriculum, expert faculty, extensive research opportunities, and strong industry connections culminates in a transformative educational experience. Graduates emerge as leaders in data science, ready to tackle complex problems and drive data-informed decision-making in their future careers.
Why Study Data Science and Analytics at Old Dominion University
- A popular choice for international students, fostering a diverse and inclusive community that enhances learning.
- Learn from a highly qualified faculty with extensive experience in the field, and become their research assistants to gain invaluable insights and mentorship.
- Access to state-of-the-art labs equipped with the latest technology to facilitate hands-on research and learning.
- Participate in excellent placement programs that connect students with top employers, ensuring a smooth transition from academics to career.
- Engage in robust networking opportunities through career fairs and industry connections within the vibrant tech hub of Virginia.
To be eligible for the Master of Science in Data Science and Analytics program, applicants should hold a bachelor’s degree from an accredited institution. Although the program does not specify a GRE requirement, students may be assessed based on their academic performance and relevant experience. Additionally, non-native English speakers must demonstrate proficiency through standardized tests such as IELTS, PTE, or TOEFL, with minimum scores of 6.5, 53, and 79 respectively.
The application process includes a $50 fee and submission of various documents to support the candidate's qualifications. As students embark on this academic journey, they can expect a high level of support from academic advisors and faculty, who are committed to their success. The program prepares students for a variety of career pathways, including roles as data analysts, data scientists, business intelligence analysts, and more, in sectors that are increasingly reliant on data-driven strategies.
Alumni of the program have reported substantial success in their careers, often reflecting on the profound impact their education at ODU had on their professional journeys. Testimonials highlight the program’s rigorous academic standards, the supportive faculty, and the collaborative environment that helped them thrive. With comprehensive training and a focus on real-world applicability, graduates are well-equipped to meet the demands of the job market and contribute significantly to their fields.
In summary, the Master of Science in Data Science and Analytics at Old Dominion University is not just an educational pursuit; it is a gateway to a promising career in a field that is shaping the future. Students emerge from this program not only with advanced knowledge and skills but also with the confidence to innovate and lead in the dynamic world of data science.
Ranking
#873
US World and News Report
Class Profile
Diversity
International:
5%Others:
15%Maryland:
10%North Carolina:
15%Virginia:
55%Washington, D.C.:
5%Eligibility Criteria
English Proficiency Tests
IELTS
6.5
PTE
53
TOEFL
79
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

Application Fee: 50
Application Deadlines
Fees and Funding

Tuition Fees
$21,585 / year
FAQs
To be eligible for the Master of Science in Data Science and Analytics program, applicants must:
- Hold a bachelor’s degree from an accredited institution.
- Be assessed based on their academic performance and relevant experience, as there is no specified GRE requirement.
- If a non-native English speaker, demonstrate proficiency through standardized tests such as IELTS, PTE, or TOEFL, with minimum scores of 6.5, 53, and 79 respectively.
Additionally, there is a $50 application fee and candidates must submit various documents to support their qualifications.
The curriculum for the Master of Science in Data Science and Analytics encompasses a broad range of topics designed to equip students with essential skills. Key areas of study include:
- Statistical analysis
- Machine learning
- Data mining
- Visualization techniques
Students will also gain hands-on experience with tools and technologies such as Python, R, SQL, and Tableau, which are critical for data manipulation and interpretation.
ODU encourages students to engage in research opportunities that promote critical thinking and innovation. Students can:
- Work closely with faculty members who are experts in their fields, serving as research assistants.
- Participate in complex research projects that may lead to publications and presentations at conferences.
- Access state-of-the-art labs equipped with the latest technology to facilitate hands-on research and learning.
This collaborative environment fosters creativity and allows students to push the boundaries of traditional data analysis.
The Master of Science in Data Science and Analytics program prepares students for various career pathways by:
- Providing a robust curriculum that blends theoretical knowledge with practical applications.
- Offering extensive networking opportunities through career fairs and connections with local and national companies.
- Facilitating internships and job placement programs that link students with top employers.
Graduates often secure positions in prestigious organizations shortly after completing their studies, reflecting the program's effective career support.
Graduates of the Master of Science in Data Science and Analytics program can pursue various roles, including:
- Data analysts
- Data scientists
- Business intelligence analysts
- Other positions in sectors that rely heavily on data-driven strategies
ODU’s strong connections with the industry and high employment rates among alumni suggest that graduates are well-prepared to meet the demands of the job market and contribute significantly to their fields.
The Master of Science in Data Science and Analytics program employs a blend of teaching methods that include:
- Lectures and theoretical foundations to establish core knowledge.
- Hands-on experiences using the latest tools and technologies to apply learning practically.
- Collaborative projects that encourage teamwork and peer-learning.
This combination prepares students to effectively analyze data and communicate their findings through robust data storytelling techniques.
Several unique aspects make the Master of Science in Data Science and Analytics at ODU a compelling choice:
- A diverse and inclusive community with a 10% international student population that enriches learning experiences.
- Access to a highly qualified faculty who provide mentorship and support for students’ academic and professional growth.
- Strong industry connections that facilitate excellent placement programs and networking opportunities.
- A location in Virginia, a hub for technology and business, providing ample internship and job opportunities.
These highlights contribute to a transformative educational experience for students.
ODU fosters a vibrant community for international students, making it a popular choice for individuals from diverse backgrounds. Support for international students includes:
- A multicultural environment that enhances classroom discussions and promotes the exchange of ideas.
- Resources to assist non-native English speakers in demonstrating proficiency through standardized tests.
- Networking events and career fairs that connect international students with potential employers in the local industry.
This supportive environment prepares international students for success in a global workforce.
Ready to elevate your study abroad journey?
Book a call with us now and take the first step towards your global future!