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QS Rank:

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34

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Columbia University

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New York

United States

The MA in Statistics program at Columbia University is a meticulously designed graduate course that immerses students in the depths of statistical theory and practice. This program is offered through the esteemed Graduate School of Arts and Sciences, situated in the vibrant heart of New York City. With a focus on quantitative reasoning, data analysis, and effective problem-solving techniques, this program equips students with the necessary skills to excel in various sectors, including healthcare, finance, marketing, and technology. The curriculum is structured to include both foundational courses and specialized electives, enabling students to tailor their education according to their career aspirations and interests.

One of the hallmarks of the MA in Statistics program is its comprehensive curriculum. Students engage in courses such as Statistical Inference, Regression Analysis, and Data Mining. These core courses provide a robust understanding of statistical methods and their applications. Moreover, advanced electives allow students to explore niche areas such as Biostatistics, Machine Learning, and Spatial Statistics. This combination ensures that graduates are well-versed in both theoretical aspects and practical applications of statistics, preparing them for the rapidly evolving job market.

The faculty associated with the program are renowned experts in the field of statistics. They utilize a unique teaching methodology that combines traditional lectures with hands-on, experiential learning. Faculty members are not only educators but also active researchers, providing students with opportunities to engage in cutting-edge research projects. This exposure to real-world challenges fosters critical thinking and analytical skills, which are invaluable in today’s data-driven world. Students benefit from personalized mentorship and guidance, enhancing their learning experience and professional development.

Research opportunities are abundant within the MA in Statistics program. Students can participate in collaborative projects with faculty or engage in independent research initiatives. The program provides access to state-of-the-art resources, including statistical software, data sets, and research facilities. This support empowers students to conduct significant studies that contribute to the field of statistics. Furthermore, partnerships with various industries facilitate practical research opportunities, allowing students to apply their knowledge and gain insights into real-world applications.

The diverse network of industry connections established by Columbia University plays a crucial role in the career development of students. The program emphasizes internship possibilities, providing students with the chance to work with leading organizations and gain practical experience. Industry collaborations not only enhance students' resumes but also facilitate valuable networking opportunities. Graduates of the program are well-prepared to enter a variety of roles, such as Statistician, Data Scientist, and Biostatistician, with a median base salary of $110,000 upon graduation.

Given the distinguished pedigree of the program, alumni have achieved remarkable success in their respective fields. Many have secured influential positions in top companies and organizations, contributing to advancements in data science and statistics. Alumni testimonials reflect a shared sentiment of gratitude for the rigorous training and the supportive academic environment that Columbia University fosters.

Why Study MA in Statistics at Columbia University

  • Access to a comprehensive curriculum that covers both theoretical foundations and practical applications of statistics.
  • Learn from a distinguished faculty comprised of leading researchers and industry experts.
  • Engage in extensive research opportunities and hands-on projects that enhance learning and professional skills.
  • Benefit from strong industry connections that facilitate internships and job placements.
  • Join a diverse student body with over 50% international representation, enriching the learning environment.
  • Experience high career outcomes with a graduation rate of 95% and a median base salary of $110,000 for graduates.

To gain admission into the MA in Statistics program, prospective students must meet certain eligibility criteria. The application process requires submission of essential documents such as a Statement of Purpose, Resume, and standardized test scores. For non-native English speakers, proficiency in English is required, demonstrated through tests like the IELTS (minimum score of 7.5) or TOEFL (minimum score of 100). Furthermore, academic transcripts from previous educational institutions and letters of recommendation are mandatory.

Students can apply for both Fall and Spring intakes, with the application deadline for the upcoming Spring term set for January 24th, 2025. The application fee is $125, and applicants are encouraged to prepare their submissions in advance to ensure a smooth application process.

In conclusion, the MA in Statistics program at Columbia University stands out as a premier choice for individuals seeking to advance their knowledge and skills in statistics. With a rich curriculum, expert faculty, and ample career opportunities, this program prepares graduates to thrive in diverse and competitive job markets. By choosing Columbia, students are not just earning a degree; they are paving the way for a successful future in the field of statistics.

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Total Tuition Fees

$70,000

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Duration

18 Months

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Median Salary

$1,10,000

Ranking

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#18

US World and News Report

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#11

The World University Rankings

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#34

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

40

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Average Age

28

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Average Work Experience

3 Years

Diversity

California:

20%

Florida:

5%

Illinois:

4%

Texas:

10%

New York:

30%

Others:

31%

Career Outcomes

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Median Earnings After Graduation

$1,10,000 / year

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Graduation Rate

95%

Prospective Job Roles

Statistician

Data Engineer

Statistician in Healthcare

Clinical Data Analyst

Marketing Data Analyst

Biostatistician

Healthcare Data Analyst

Medical Statistician

Spatial Data Analyst

Data Scientist

Health Care Statistician

Cancer Statistician

Vital Statistics Supervisor

Mathematical Statistician

Data analyst

Eligibility Criteria

English Proficiency Tests

  • IELTS

    7.5

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  • TOEFL

    100

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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.

intake

Application Fee: 125

    • intake

      Passport

    • intake

      Statement of Purpose

    • intake

      Resume

    • intake

      IELTS

    • intake

      Class 12 Marksheets

    • intake

      Class 10 Marksheets

    • intake

      Academic LOR

    • intake

      Professional LOR

    • intake

      Professional LOR

    Application Deadlines

    Standard Deadline
    SpringJan 24, 2025
    FallOct 1, 2025

    Fees and Funding

    intake

    Tuition Fees

    $70,000 / year

    intake

    Overall Cost

    $85,000 / year

    FAQs

    • GSAS requires a minimum score of 100 on the Internet-based TOEFL (600 on the paper-and-pencil test) or 7.5 on the IELTS test. Please refer to GSAS Admissions for timing and more details on the English Proficiency Requirement. Write to [email protected] for specific questions.

    • There are no minimum GPA or GRE scores set by the Department. The Admissions Committee looks competitively at the overall application including the grades received in relevant coursework, the prerequisites needed for the program, recommendation letters, test scores, and other supporting documents.

    • The Admissions Committee looks for applicants with a compelling background and strong grades in quantitative and related fields such as statistics, mathematics and computer science. Applicants need a thorough knowledge of linear algebra and advanced calculus. Successful candidates have experience in theoretical or applied probability and statistics. Familiarity with computer programming is highly recommended. Interested applicants lacking background in these areas should make up the deficiency before applying. We do not offer conditional acceptance. Due to the large number of applications received, the MA in Statistics staff does not answer inquiries about specific applications. We do not give advice or offer direction to applicants before they are admitted. While we appreciate interest in the program, emails expressing this interest have no bearing on the outcome of an application. One's candidacy is decided upon by the application materials only. Any specific interest and rationale should be conveyed in the personal statement within the application.

    • You can find important dates on the Academic Calendar. Choose the year, semester, and the school is the Graduate School of Arts and Sciences. Visit the MA Program Events Calendar to see dates and deadlines relevant to the MA Program in Statistics

    • The Hybrid Online/On-campus Program is not accepting applications.

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