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QS Rank:

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69

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University of Illinois at Urbana-Champaign

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Illinois

United States

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Program Rank

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15

MS Concentration in Analytics


The Master of Science Concentration in Analytics combines the mathematical and statistical training of the traditional MS in Statistics with enhanced computational and data analytic training for those planning careers in information intensive industries or research. The program includes fundamental training in mathematical and applied statistics as well as specialized training in data management, analysis, and model building with large datasets and databases. The specialized courses have an emphasis on statistical computing, data management, and statistical learning, which encompasses the more statistical topics that fall under the broader title of data mining. Students are encouraged to gain experience in a business or consulting environment as part of the program.

What a Graduate in Statistics Degree Can Do For You!

The graduate programs provide advanced training in mathematical and applied statistics, exposure to statistics in a consulting or collaborative research environment and specialized coursework in a number of areas of emphasis, such as Data Science and Biostatistics. The graduate programs are intended to prepare students for careers as practicing statisticians and data scientists as well as to provide enhanced research expertise and professional leadership in the field of statistics and data sciences.

Graduates of our programs go on to become...

   Statisticians

   Data Scientists

   Biostatisticians

   Machine Learning Engineers

   Quantitative Analysts

   Business Intelligence Analysts

   Software Engineers

   Research Scientists

   Educators

and so much more!

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Total Tuition Fees

$30,356

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Duration

24 Months

Ranking

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#41

US World and News Report

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#48

The World University Rankings

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#69

QS World University Rankings

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Intake

Fall ( Sept - Nov )

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Intake

Spring ( Apr - June )

Class Profile

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Class Size

100

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Average Age

20

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Average Work Experience

25 Years

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Rentention Rate

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93

Diversity

Black or African American:

14%

Hispanic or Latino:

6%

Others:

3%

White:

64%

Asian:

11%

Two or more races:

2%

Career Outcomes

What a Statistics degree can do for you


Top employers from across the globe actively recruit graduates from our programs (undergraduate and graduate) and continue to search for the best and the brightest that we have to offer. Our graduates have found employment in a wide variety of fields, such as: insurance and financial sectors, market research firms, consumer product research, engineering and manufacturing, biotech and pharmaceutical, and multiple government agencies. 

Prospective Job Roles

Customer Relationship Manager

Product Manager

Pharmaceutical Scientist

Market Researcher

Financial Analyst

Manufacturing Engineer

Biotechnologist

Product Design Engineer

Research Engineer

Insurance Underwriter

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    7

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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Application Fee: 90

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    Transcript

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    Statement of Purpose

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    IELTS

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    Degree Certificate

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    General LOR

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    Provisional Certificate

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    Semester wise Marksheet

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    Passport

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    General LOR

Application Deadlines

Standard Deadline
FallApr 1, 2025
SpringSep 15, 2024

Fees and Funding

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Tuition Fees

$15,178 / year

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Overall Cost

$31,598 / year

FAQs

  • The graduate programs provide advanced training in mathematical and applied statistics, exposure to statistics in a consulting or collaborative research environment and specialized coursework in a number of areas of emphasis, such as Data Science and Biostatistics. The graduate programs are intended to prepare students for careers as practicing statisticians and data scientists as well as to provide enhanced research expertise and professional leadership in the field of statistics and data sciences. Graduates of our programs go on to become... Statisticians Data Scientists Biostatisticians Machine Learning Engineers Quantitative Analysts Business Intelligence Analysts Software Engineers Research Scientists Educators and so much more!

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