

M.S. in Data Science & Analytics
- Public University
College of Sciences
M.S. in Data Science & Analytics at ODU Overview
The Old Dominion University offers a really good M.S. in Data Science & Analytics program at the PG level, which lasts for 18 to 24 months. To get admission to the program, students must meet the requirements for the course which include having a valid score on tests like IELTS, TOEFL, PTE and Duolingo. The Old Dominion University tuition fee for the first year of the M.S. in Data Science & Analytics is USD 22,877 (INR 2,195,963). Also, the students should budget well for living expenses, which has:
- Accommodation (rent or hostel)
- Food
- Books
- Other important utilities
Duration | 1.5 - 2 years Get Curriculum |
Tuition & Fees | ₹22.14 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
M.S. in Data Science & Analytics at ODU Fees
For attending the Old Dominion University for M.S. in Data Science & Analytics, students have to pay the tuition fee as well as the living expenses. The Old Dominion University M.S. in Data Science & Analytics fee structure varies for domestic and international students.
Foreign students will have to pay USD 22,877 (INR 2,195,963) for the first-year of study. Other than the annual tuition fee, they will also have to cover the living expenses (includes housing, food, transportation, books and supplies, and other miscellaneous expenses), which is around USD 16,877 (INR 1,620,023) for overseas students. Based on the student’s lifestyle and purchasing power, the cost of living varies.
Refer to the table below for the breakdown of expenses for the Old Dominion University M.S. in Data Science & Analytics cost of attendance:
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 22,13,934 |
| Application Fee | INR 4,839 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 16,33,280 |
| Insurance | INR 2,88,488 |
M.S. in Data Science & Analytics at ODU Curriculum
Applicants can click on the green button below to download and check out the Old Dominion University M.S. in Data Science & Analytics curriculum. The curriculum PDF includes detailed information about the course such as requirements, concurrent program options, tuition fees, deadlines, career opportunities, etc.
Download exam sample paper
M.S. in Data Science & Analytics at ODU Entry Requirements
- No specific cutoff mentioned
- 60%
- Read less
- Students must have an UG degree in Computer science, Electrical and/or Computer engineering, Math, Statistics, Information system and technology or a related field from a regionally accredited institution or an equivalent institution outside the U.S
- Students holding UG degree in different field, will need competency in topics related to basic Statistics and Computer science

Calculate your score and check your eligibility at over 2000+ universities.
- N/A
- Backlogs- number of repetitions should not be higher (no usual number)- 5 to 6 mostly

Calculate your score and check your eligibility at over 2000+ universities.
- Marks - 79/120
-
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- Marks - 53/90
NA
- Marks - 6.5/9
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- Marks - 120/160
NA
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- No external evaluation is required
- Yes
- Read lessIf your native language is not English, evidence of English proficiency must be demonstrated to enroll in academic, credit bearing courses. Conditional admission to Old Dominion University is offered only to those highly qualified applicants meeting University admission requirements with the exception of English language proficiency. Granting of conditional admission is subject to program approval, and may not be available for all programs of study. Admitted students who have not satisfied the English language requirement are automatically offered intensive English language studies at the on-campus English Language Center.
M.S. in Data Science & Analytics at ODU Application Process
- Official transcripts from all institutions attended
- Passport identification page
- Proof of English language proficiency
- GRE Scores
- Financial certification documents are required
-
A statement of professional goals
- Old Dominion University offers a payment plan, administered by the Office of Finance, for Fall and Spring terms only.
- Payment plans can be established for current semester charges only
- The $40 non-refundable set-up fee must be paid at the same time the payment plan is established online
M.S. in Data Science & Analytics at ODU Rankings
| Rank | Rank Publisher |
|---|---|
| #68 | |
| #401 | |
| #551 |
M.S. in Data Science & Analytics at ODU Placements
| Particulars | Statistics (2021) |
|---|---|
| Internship Available | Yes |
Old Dominion UniversityStudents Ratings & Reviews
- 0% students never faced discrimination in this university
M.S. in Data Science & Analytics at ODU Highlights
- The Master of Science in Data Science and Analytics is a 30-credit hour, non-thesis degree program
- The curriculum consists of a core of 18 credits (6 courses), a choice of two concentrations, and a capstone project
- The two concentrations are in Computational Data Analytics and Business Intelligence & Analytics
- Core courses will establish proficiency in data discovery, collection, processing, and cleaning; exploratory data analysis using statistics and visual analytics; and statistical modeling for prediction/forecasting
- The objective of the core is to lay the foundation required by a data scientist working in any field
- Coursework for the computational data analytics concentration focuses on teaching programming language, use of complex statistical tools, and mathematical modeling. Graduates will be able to enter data science, analytical, and statistical fields
- Coursework for the business intelligence and analytics concentration focuses on providing students with the skills to gather, analyze, and use data to make informed decisions
- The capstone project in both concentrations will provide the opportunity to synthesize knowledge from coursework to solve real-world problems
- Graduates will be prepared to enter businesses and organizations that need educated professionals to help make informed recommendations
M.S. in Data Science & Analytics at ODU Scholarships
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