Overview
Why Data Science and Analytics at Old Dominion University?Old Dominion University (ODU) stands out as an R1 research institution, renowned for its commitment to academic excellence and innovation. The university boasts strong partnerships with industry leaders, providing students with unique networking opportunities and access to state-of-the-art facilities. The Data Science and Analytics programme is designed to meet the increasing demand for skilled professionals in the tech, finance, healthcare, and government sectors, ensuring graduates are well-prepared to drive progress and innovation. ODU's emphasis on practical experience through project-based learning enhances the educational experience, allowing students to apply their knowledge in real-world scenarios.
Tuition Fee BreakdownThe tuition fees for the Data Science and Analytics programme at Old Dominion University are as follows:
- International Fee: USD 1,486 per credit
- National Fee: USD 1,486 per credit
- Local Fee: USD 620 per credit
Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum for the M.S. in Data Science and Analytics includes a variety of courses designed to provide a comprehensive understanding of the field. Key modules are:
- Introduction to Data Science and Analytics
- Data Visualization
- Statistical/Probability Models for Data Science and Analytics
These courses cover essential techniques and tools for data analysis, visualisation, and statistical modelling, preparing students for a successful career in data science.
Guaranteed Work ExperienceThe programme includes a capstone project that allows students to apply their skills in a practical setting, ensuring that they gain valuable work experience before graduation.
Careers with Data Science and AnalyticsGraduates of the Data Science and Analytics programme can expect to find opportunities in various industries. Alumni have secured positions as Data Scientists, Business Intelligence Analysts, and Computer and Information Research Scientists, with median salaries reaching up to USD 145,080 for research scientists. The skills acquired during the programme prepare graduates to excel in roles that require the ability to analyse complex data sets and develop actionable insights, making them highly sought after in today’s job market.
Programme Structure
Courses include:
- Machine Learning
- Web Science
- Database Concepts
- Data Analytics for Cybersecurity
- Artificial Intelligence
- Information Visualization
- Information Retrieval
Key information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
-
- Starting
- Apply before , International
-
Language
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Credits
Delivered
Campus Location
- Norfolk, United States
Disciplines
Data Science & Big Data Data Analytics View 397 other Masters in Data Analytics in United StatesWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- A completed online application and associated application fee.
- A baccalaureate degree in computer science, electrical and/or computer engineering, mathematics, statistics, information system and technology or a related field from a regionally-accredited institution or an equivalent institution outside the U.S; students holding bachelor's degrees in an unrelated field will need competency in related topics.
- Official copies of transcripts of all regionally-accredited institutions attended (or equivalent non-U.S. institutions).
- Two letters of recommendation from individuals familiar with the applicant's professional and/or academic background.
- A Current resume.
- A statement of professional goals.
- GRE scores, with a 50% or better attainment on quantitative reasoning (or waiver).
Tuition Fees
-
International Applies to you
Applies to youNon-residents24030 USD / year≈ 24030 USD / year - Out-of-State24030 USD / year≈ 24030 USD / year
-
Domestic
Applies to youIn-State8748 USD / year≈ 8748 USD / year
Living costs
Norfolk
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Science and Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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