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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

The Master of Science in Statistics program at the University of Illinois at Urbana-Champaign is designed to equip students with the advanced quantitative skills required in today's data-driven world. This meticulously crafted program focuses on combining rigorous mathematical principles with real-world applications, preparing graduates to tackle complex problems across various industries. Students will engage with a comprehensive curriculum that bridges traditional statistical methods and innovative data analytics techniques, ensuring they emerge as proficient data professionals ready to meet the demands of the evolving job market. The program emphasizes the need for a solid foundation in both theoretical and applied statistics, coupled with hands-on experience in statistical computing and data analysis.
The curriculum is structured to provide students with an in-depth understanding of critical statistical concepts, ranging from basic probability theory to advanced statistical modeling. Students will delve into specialized courses that cover essential topics such as data management, statistical computing, and statistical learning. These courses are integral for those aiming to excel in fields such as data science, biostatistics, and machine learning. Furthermore, the program encourages students to apply their knowledge through practical experiences, including a business or consulting internship, thereby enhancing their employability and professional skills.
Faculty members in the Graduate School of Arts and Science bring a wealth of expertise to the classroom, offering students the opportunity to learn from leaders in the field of statistics. Many faculty members are actively involved in cutting-edge research, contributing to their respective fields while integrating their findings into the curriculum. Students will benefit from a teaching methodology that emphasizes collaboration, critical thinking, and real-time problem-solving, allowing them to not only grasp theoretical concepts but also apply them in practical scenarios. This mentorship approach fosters a dynamic learning environment, where students are encouraged to engage in discussions, participate in research, and explore innovative statistical applications.
The program also offers extensive research opportunities, allowing students to work on projects that contribute to significant advancements in the field. With access to state-of-the-art resources and facilities, students can engage in meaningful research that challenges conventional methodologies and explores new statistical frontiers. Moreover, industry connections are a vital part of the program, as the university collaborates with numerous organizations and businesses in various sectors. This partnership opens doors to internship possibilities, enabling students to gain invaluable experience, build professional networks, and enhance their resumes.
Graduates of the Master of Science in Statistics program are well-prepared for a multitude of career pathways. Alumni have secured positions in a range of sectors, including finance, healthcare, technology, and government agencies. Prospective job roles for graduates include Customer Relationship Manager, Product Manager, Pharmaceutical Scientist, Market Researcher, Financial Analyst, Manufacturing Engineer, Biotechnologist, Product Design Engineer, Research Engineer, and Insurance Underwriter. Many graduates have reported successful placements with top-tier employers, thanks to the university's strong reputation and extensive alumni network.
In addition to the robust academic and research components of the program, students benefit from several unique features that distinguish the University of Illinois at Urbana-Champaign. The program's commitment to international diversity ensures that students from various backgrounds collaborate, enriching their educational experience. Furthermore, the program's high retention rate (93%) reflects the supportive academic environment and the dedication of faculty and staff to student success.

Why Study Master of Science in Statistics at University of Illinois at Urbana-Champaign

  • Comprehensive curriculum that integrates theoretical and applied statistics with a focus on data analytics.
  • Access to experienced faculty members with expertise in various fields of statistics and data science.
  • Opportunities for hands-on learning through internships and collaborative research projects.
  • Strong industry connections that facilitate job placements in leading organizations.
  • A diverse and inclusive student body that enriches the learning experience.
  • High retention rate demonstrating a supportive educational environment.

Admission Requirements

To gain admission into the Master of Science in Statistics program, applicants must fulfill specific requirements. A completed application includes:

  • A completed application form along with a non-refundable application fee of $90.
  • Official transcripts from all post-secondary institutions attended.
  • A well-written statement of purpose that outlines the applicant's academic interests and career goals.
  • At least one letter of recommendation from a faculty member or professional who can attest to the applicant's qualifications.
  • A degree certificate from a recognized institution.
  • Evidence of English language proficiency, such as an IELTS score with a minimum of 7.0.
  • A provisional certificate and semester-wise marksheet to verify academic achievements.
  • A valid passport for international applicants.

The application deadlines for the program include:

  • For Fall intake, the standard deadline is April 1st, 2025.
  • For Spring intake, the standard deadline is September 15th, 2024.

In summary, the Master of Science in Statistics at the University of Illinois at Urbana-Champaign offers a rigorous, comprehensive program designed to prepare students for successful careers in statistics and data science. With a focus on practical application and industry relevance, students are equipped with the skills needed to thrive in a dynamic and competitive landscape.

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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

  • intake

    Transcript

  • intake

    Statement of Purpose

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    IELTS

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    Degree Certificate

  • intake

    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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