M.S. in Data Science & Analytics
4.1 /5
- Public University
College of Sciences
Talk to ExpertM.S. in Data Science & Analytics at ODU Overview
M.S. in Data Science & Analytics
at ODU
Our counselors guided 6 students in securing admission to this course. Know moreCollege of Sciences at ODU offers M.S. in Data Science & Analytics. The 18 months Degree course has primary stream as IT & Software. The ODU tuition fees for international students is USD 25474.0. The Degree course offered by the at ODU requires IELTS, TOEFL, Duolingo, and PTE.
Duration | 1.5 - 2 years |
Course Level | PG Degree |
Mode of Course | Full Time |
International Students Admission Website | Go to Website  |
Tuition & Fees | ₹22.07 Lakh View full breakup |
Type of University | Public |
Official Career Service Website | Go to Website |
M.S. in Data Science & Analytics at ODU Fees
M.S. in Data Science & Analytics
at ODU
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 22,06,558 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 14,19,269 |
| Insurance | INR 2,58,214 |
| Transportation | INR 10,914 |
| Housing application fee | INR 21,655 |
| General Services Fee | INR 3,118 |
| Student Health Fee | INR 29,451 |
| ID Card Fee | INR 693 |
| International Student Fee | INR 6,063 |
| Textbook Cost | INR 1,13,559 |
| Application fee | INR 4,331 |
| Student Transition Fee | INR 6,497 |
| Total approximate fees | INR 18,73,764 |
Calculated at the exchange rate of 1 USD = INR 86.62 | Tuition & expenses were last updated on 17ᵗʰ December 2024
M.S. in Data Science & Analytics at ODU Curriculum
M.S. in Data Science & Analytics
at ODU
Latest curriculum for M.S. in Data Science & Analytics at ODU can be downloaded from the below link. The curriculum PDF has semester wise course structure, electives and detailed course content. You can also check course curriculum of other specializations offered in MS at ODU
M.S. in Data Science & Analytics at ODU Entry Requirements
M.S. in Data Science & Analytics
at ODU
Requirements for 12th grade
- No specific cutoff mentioned
Graduation
- No specific cutoff mentioned
- Read less
- A baccalaureate degree in computer science, electrical and/or computer engineering, mathematics, statistics, information system & technology, or a related field from a regionally-accredited institution or an equivalent institution outside the U.S.; students holding a bachelor's degree in an unrelated field will need competency in topics related to basic statistics and computer science
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3 year degree accepted
- N/A
- Highly qualified applicants holding a three-year Bachelor's degree may be considered for provisional admission at the Master's level
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TOEFL
- Marks - 79/120
-
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-
PTE
- Marks - 53/90
- NA
IELTS
- Marks - 6.5/9
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GRE
- No specific cutoff mentioned
- GRE scores, with a 50% or better attainment on quantitative reasoning
Duolingo
- Marks - 120/160
- NA
- Take Duolingo English Test from your home, in just 1 hour and get results in 2 days. 70% cheaper than other English Tests. Register now for Duolingo
Conditional Offer
- 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.
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M.S. in Data Science & Analytics at ODU Application Process
M.S. in Data Science & Analytics
at ODU
Step one
Prepare documents for application
LOR
-
Two letters of recommendation from individuals familiar with the applicant's professional and/or academic background
ESSAYS
- Essay is required
CV
- Students need to submit the resume
Step two
Additional documents required
- 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
Step three
Start your online application
Step four
Application fees for this course
USD 50 = INR 4.33 Thousand
Mode of payment: Credit card, Debit card, Wire money transfer
- 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
Step five
Application deadline
Spring (Jan): 1st Oct
*The dates specified are tentative dates as per the previous year records. Our expert counselors can help with exact deadline date. Connect with the expert now!
M.S. in Data Science & Analytics at ODU Rankings
M.S. in Data Science & Analytics
at ODU
M.S. in Data Science & Analytics at ODU Placements
M.S. in Data Science & Analytics
at ODU
| Particulars | Statistics (2021) |
|---|---|
| Internship Available | Yes |
Old Dominion UniversityStudents Ratings & Reviews
4.1/5
1 Verified ReviewVibe of Campus
- Easy going
- Friendly
- Academically oriented
Student Views
- 0% students never faced discrimination in this university
Internships3
Part time work5
Post study jobs4
Quality of faculty4
Student Life5
Value for money5
Public transportation3
Safety4
Indian Food4
Permanent Immigration4
Swati Mishra
M.S. in Data Science & Analytics - Batch of 2023
Offered by Old Dominion University
4.1
Supportive management. They will listen to your concerns.
Tips: I would recommend the students to make connection with seniors/departments via LinkedIn. Additionally, as the course enrollment seats are less, it would be good to get in touch with the advisor to remove holds to register for classes. Moreover, it will also be good to look for assistantship opportunity on the campus by emailing professors and asking them if they have any open opportunities and also, do plan to attend university orientation process to get an overview of office and other important series that they conduct. Also, the college conducts a program known as MINT program which helps international students to know different resources available for students and they also give orientation of the city.
Likes (Part time work): As a student, we can only work on-campus on different positions. Most of the times, the department you work will give you some fee waiver too which entirely depends on the department. Additionally, it is important to look for opportunities from your home country instead of waiting for the last moment after arrival, as most of the positions are already filled by then.
Dislikes (Internships): Sometimes, it's really hard to look for internship as it is not available throughout the year. The internship options are open from September onwards. So, it is important for the students to check them early. You can even contact career development team on campus which will guide you for the same and help in resume building and interview preparation too.
Reviewed on 3 Nov 2022Read more
View 1 Review
M.S. in Data Science & Analytics at ODU Highlights
M.S. in Data Science & Analytics
at ODU
- 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
Read more
M.S. in Data Science & Analytics at ODU Scholarships
M.S. in Data Science & Analytics
at ODU
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M.S. in Data Science & Analytics at ODU Contact Information
M.S. in Data Science & Analytics
at ODU
Address
5115 Hampton Blvd, Norfolk, VA 23529, USA
Norfolk ( Virginia)
Phone
Email
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