MS Statistics and Data Science
- Public University
College of Science
Talk to ExpertMS Statistics and Data Science at University of Arizona Overview
MS Statistics and Data Science at University of Arizona is a popular program among Indian students. For admission to this course, which has 18 to 24 months, an Indian student needs to be eligible and submit documents. The documents to be submitted are academic qualifications, standardised text and language test score, resume and others. English language tests accepted by the university such as IELTS, TOEFL, PTE and GRE. The first-year tuition fee for this course at the time of admission is USD 33,961. Also, there is regular spending on food, travel, staying, books, supplies and others. The annual cost of living is typically USD 13,580 at University of Arizona.
Duration | 1.5 - 2 years Get Curriculum |
Tuition & Fees | ₹30.11 Lakh Get Fees details |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MS Statistics and Data Science at University of Arizona Fees
The first-year tuition fee for the MS Statistics and Data Science at the University of Arizona is USD 33,961. Moreover, the fee structure for the MS Statistics and Data Science comprises the first-year tuition fees, supplement charges, facility requirements, and other additional charges offered by the University of Arizona.
Apart from the tuition cost and university charges, students should also keep in mind the extra expenses to stay at the university or any nearby accommodation. They are required to manage the finances for various factors like rent, food, transportation, utility, and other personal expenses, which can vary as per the individual, however, the average cost of living is USD 13,580.
Check the detailed information on the University of Arizona MS Statistics and Data Science on the fee breakup, from the table below.
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 30,11,322 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 12,04,139 |
| Insurance | INR 2,45,173 |
Calculated at the exchange rate of 1 USD = INR 88.67 | Tuition & expenses were last updated on 17ᵗʰ December 2024MS Statistics and Data Science at University of Arizona Curriculum
For a more in-depth look at the MS Statistics and Data Science program at University of Arizona, click the green button below. The curriculum PDF provides a detailed information regarding several key points associated with the program including the total no. of subjects, electives available to students & some other course related content. A semester wise breakdown of the overall course structure is also included as part of the PDF.
Download exam sample paper
MS Statistics and Data Science at University of Arizona Entry Requirements
- No specific cutoff mentioned
- CGPA - 3/4
- Read less
- Applicants must have or be in the process of completing a Baccalaureate Degree, either in a mathematical field or a field that makes significant use of quantitative methods, with at least a 3.0 overall grade point average (GPA).
- A previous degree in Statistics or Biostatistics is useful, but not required.
- Applicants must hold a 4 years of accredited bachelor, 3 year accredited bachelor + master; 3 year accredited bachelor + post-grad diploma; or 3-year bachelor by itself provided the degree is at least 120 credits.
- Prerequisites:- Maths (statistical methods , Probability, upper-division Real Analysis)
- mathematics, including at least three semesters of Calculus through multivariable/vector calculus (at the level of MATH 125, MATH 129, MATH 223), one semester of Linear Algebra (at the level of MATH 215), and experience with computer technologies.
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Out of 10
- N/A
- Applicants can apply with 3 years bachelor degree is atleast 120 credits and the degree has been earned in Division I and the institution is accredited by the National Assessment and Accreditation Council (NAAC) with an institutional score of 'A' or better
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 79/120
-
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- Marks - 60/90
- NA
- No specific cutoff mentioned
- Read less
- No subject area below a 6
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- No specific cutoff mentioned
- Minimum GRE Verbal: must exceed 50th percentile
- Minimum GRE Quantitative: must exceed 75th percentile
- No specific cutoff mentioned
MS Statistics and Data Science at University of Arizona Application Process
- A Statement of Purpose describing the applicant's interests and goals for graduate study in interdisciplinary statistics, a list of college-level statistics and mathematics courses completed (including final grades) or in progress
- Two letters of recommendation
- Official Transcripts
- Curriculum vitae is optional but recommended
- ELP Score
- GRE Score
- Students have an installment plan for Fall and Spring semesters only
- All tuition, program fees/differential tuition, mandatory fees, and course fees are split into three (3) installments and students will be charged $75.00 per semester non-refundable enrollment fee for this service
MS Statistics and Data Science at University of Arizona Rankings
| Rank | Rank Publisher |
|---|---|
| #28 | |
| #108 | |
| #176 |
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MS Statistics and Data Science at University of Arizona Highlights
- The Statistics & Data Science Interdisciplinary Program offers interdisciplinary courses of study leading to the Master of Science (M.S.) and Doctor of Philosophy (Ph.D.) degrees in Statistics (regular track or statistical informatics track), along with a 12-unit Graduate Certificate.
- The mission is to develop the next generation of data scientists, trained to meet the challenges of modern interdisciplinary data extraction, analysis, and interpretation.
- The GIDP supports and encourages the central role of statistical and quantitative thinking in the biological, physical, engineering, financial, and social sciences.
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