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M.S. in Data Science & Analytics 

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M.S. in Data Science & Analytics
 at 
ODU 
Overview

Student admits IconOur counselors guided 4 students in securing admission to this course. Know more

Duration

1.5 - 2 years
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Tuition & Fees

20.30 Lakh
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Course Level

PG Degree

M.S. in Data Science & Analytics
 at 
ODU 
Fees

icon1st year tuition fees
Fees componentsAmount (for 1 year)
Tuition & feesINR 20,29,521
iconOther expenses in 1st Year
Fees componentsAmount (for 1 year)
Hostel & MealsINR 14,53,841
InsuranceINR 2,64,504
Info IconCalculated at the exchange rate of 1 USD = INR 88.73 | Tuition & expenses were last updated on 12ᵗʰ August 2025

M.S. in Data Science & Analytics
 at 
ODU 
Curriculum

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M.S. in Data Science & Analytics
 at 
ODU 
Entry Requirements

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M.S. in Data Science & Analytics
 at 
ODU 
Application Process

Step one
Prepare documents for application
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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

M.S. in Data Science & Analytics
 at 
ODU 
Rankings

M.S. in Data Science & Analytics
 at 
ODU 
Placements

ParticularsStatistics (2021)
Internship AvailableYes

Old Dominion University
Students Ratings & Reviews

4.1/5
Verified Icon1 Verified ReviewInfo Icon
Vibe 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 Verified Icon
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
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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
Read more

M.S. in Data Science & Analytics
 at 
ODU 
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About the author

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Chandra Shekhar

Study Abroad Expert

With over 6 years of overall work experience in Content Writing, Chandra Shekhar has worked on various content writing profiles like Technical and Education-based. He has been involved in writing for higher education and abroad studies for more than ...Read Full Bio

M.S. in Data Science & Analytics
 at 
ODU 
Contact Information

Address

5115 Hampton Blvd, Norfolk, VA 23529, USA
Norfolk ( Virginia)

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