Data Science and Analytics Online Master's Program
- Master of Science
- The Graduate School
- Various college departments
Why ODU for Data Science and Analytics?
ODU’s approach to this master's degree program is uniquely interdisciplinary, drawing faculty expertise and coursework from engineering and technology, business, arts and letters, and the sciences.
Your core courses will give you a solid foundation in data science, data analytics, statistics, and data visualization.
You will gain proficiency using state-of-the-art programming languages, tools, and software packages to perform analytics on complex data including big data. You will also learn how to visually represent complex data to effectively communicate your findings to higher management and assist decision-making.
Our program includes a concentration of your choice, and culminates in a capstone project related to your concentration. When you graduate, you will earn a Master of Science with a major in data science and analytics.
Want to learn more? Contact us!
Program Concentrations
Choose from four concentrations to focus on data science and analytics in your area of interest:
- Artificial Intelligence and Machine Learning - Learn how to transform data into actionable information for organizations seeking data-driven recommendations.
- Business Intelligence & Analytics - Prepare to enter rapidly emerging fields related to data analytics such as video analytics, algorithms and data structures, natural language processing, and information retrieval.
- Engineering & Big Data Analytics - Learn the methods and technologies to handle big data and instill engineering problem-solving skills rooted in big data solutions.
- Geospatial Analytics - Gain a foundation in geospatial technology to prepare data for analysis and perform suitability analysis, spatial predictive modeling, geostatistics, and space-time pattern mining and object detection.
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Required Courses
- 30 credit hours
You will take five core courses, four courses in your chosen concentration, and one capstone project course.
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Online Learning Environment
Access course materials online from any location. Some classes will have live, regular online meeting times, while others will not. The instructor may schedule assignments and exams at specific times. All courses follow ODU's regular academic calendar.
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Bright Outlook
Employment of computer and information research scientists is projected to grow 21 percent from 2021 to 2031, much faster than the average for all occupations.
— Bureau of Labor Statistics, Occupational Outlook Handbook, March 2023
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Careers in Data Science and Analytics
Graduates of this program are knowledgeable and skilled at:
- developing statistical models to detect trends;
- organizing and managing data; and
- leading teams in the retrieving, cleaning data, and modeling data.
You will be qualified for positions such as:
- Data Scientist
- Data Engineer
- Data Analyst
- Machine Learning Scientist
- Machine Learning Engineer
- Applications Architect
- Statistician
- Enterprise Architect
- Business Intelligence (BI) Developer
- Computer and Information Systems Manager
- Database Administrator
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Calculating Cost
- In-state Virginia Residents
- $599 per credit hour*
- Out-of-state Students
- $623 per credit hour
Rates are effective Fall 2023 and subject to change.
* In-state rate assumes residency requirements are met.
Meet Your Team
You'll have a dedicated academic advisor for this program.
Contact us if you have questions about admission requirements, transferring credits, or application deadlines.
Ready to get started?
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How to Apply
In addition to meeting general graduate student admission requirements, you should have:
- Undergraduate coursework or experience in computer science, mathematics, statistics, information technology, engineering, or a related field.
- GRE scores with 50% or better on quantitative reasoning. If you already have an advanced degree, related work experience, and/or related military training, you can apply for a GRE waiver.
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Want to get started now?
You may be able to take up to four courses (12 credit hours) as a non-degree graduate student, before you are accepted into a specific degree program.
Please contact us to discuss this option with an expert advisor.