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QS Rank:

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171

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Washington University in St. Louis

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Washington

United States

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Program Rank

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60

The Master of Science in Business Analytics program at Washington University in St. Louis is designed to equip students with the essential skills necessary to excel in today's data-driven business environment. This innovative program integrates advanced analytical techniques and tools with practical application, allowing students to solve real-world business challenges effectively. Whether you're a seasoned professional looking to upskill or a recent graduate seeking to ignite your career, this program is tailored to meet diverse career aspirations in various sectors. The industry-centric curriculum not only focuses on foundational knowledge in business analytics but also emphasizes hands-on experience through projects and case studies, ensuring that graduates are job-ready upon completion.

Throughout the 18-month program, students engage with a comprehensive curriculum that includes courses in Finance, Business Management, Accounting Management, Human Resource Management, and Sales and Marketing. This broad spectrum of topics ensures that students gain a holistic understanding of how analytics can be used across different functions within organizations. Specialized courses in Machine Learning, Data Visualization, and Statistical Analysis further enhance the students' analytical prowess, preparing them to tackle complex business problems.

One of the unique features of the MS in Business Analytics program is its commitment to leveraging real-world data. Students are trained in modern data science and machine learning capabilities, which are crucial for transforming raw data into actionable insights. The program also emphasizes the application of analytics in decision-making processes, enabling students to make informed choices that can significantly impact business outcomes. Graduates will emerge with the ability to harness data effectively, thereby driving strategic initiatives within their organizations.

The faculty at the Olin Business School consists of experienced professionals and scholars who bring a wealth of knowledge and expertise to the classroom. Their teaching methodology focuses on a blend of theoretical concepts and practical applications, creating a dynamic learning environment. Professors encourage active participation and collaboration among students, fostering a network of diverse ideas and experiences that enrich the educational experience. In addition, faculty members often engage with leading organizations, providing students with insights into the latest industry trends and best practices.

Research opportunities abound at Washington University in St. Louis, with access to cutting-edge resources and facilities. The university's strong emphasis on research empowers students to explore various dimensions of business analytics, encouraging them to develop innovative solutions to contemporary challenges. Through collaboration with faculty and industry partners, students can contribute to meaningful projects that have the potential to influence business practices significantly. This research-driven approach not only enhances learning but also positions graduates as thought leaders in the field of business analytics.

Another pivotal aspect of the MS in Business Analytics program is its strong ties to industry. The program's curriculum is designed in consultation with industry experts, ensuring that it remains relevant to current market demands. Students benefit from numerous internship opportunities, allowing them to gain hands-on experience and build professional networks. The university's career services team provides dedicated support for job placement, connecting students with potential employers who are eager to recruit talent skilled in data analysis and business strategy.

Upon graduation, students can expect to enter a rapidly growing job market with a wide range of career pathways. The median base salary for graduates from the program is around $130,000, reflecting the high demand for professionals in this field. Common job roles include Machine Learning Engineer, Data Architect, Data Scientist, Statistical Analyst, and Chief Technology Officer. The program's alumni network is a testament to the success of its graduates, many of whom have assumed leadership positions in renowned companies across various industries.

In terms of admission requirements, prospective students should prepare a comprehensive application package, including a transcript, resume, and a thoughtful essay addressing their personal values and career aspirations. International applicants are required to demonstrate English proficiency through standardized tests such as the TOEFL or IELTS. While the GRE or GMAT is recommended, it is not a mandatory requirement for admission.

Why Study Master of Science in Business Analytics at Washington University in St. Louis:

  • Comprehensive curriculum that integrates theory and practical application to prepare students for high-level analytics roles.
  • Access to experienced faculty members who are industry experts and thought leaders in business analytics.
  • Strong research opportunities that encourage innovation and critical thinking.
  • Robust industry connections that facilitate internships and job placements, ensuring students gain valuable real-world experience.
  • A strong alumni network that opens doors to career advancement in top organizations globally.
  • A focus on developing decision-making skills through data analysis, preparing students for the demands of the analytics marketplace.
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Total Tuition Fees

$98,850

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Duration

18 Months

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Median Salary

$1,30,000

Ranking

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#32

US World and News Report

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#57

The World University Rankings

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#171

QS World University Rankings

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Intake

Fall ( Sept - Nov )

Class Profile

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Class Size

34

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Average Age

24

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Average Work Experience

2 Years

Diversity

Others:

15%

Texas:

7%

New York:

8%

California:

11%

United States:

58%

International:

42%

Illinois:

9%

Career Outcomes

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Median Earnings After Graduation

$1,30,000 / year

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Graduation Rate

94%

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Job Placement

80%

Prospective Job Roles

Statistician

Marketing Data Analyst

Operations manager

Business Systems Analyst

Business Intelligence Analyst

Data Analyst

Business Analyst

Business Development Manager

Market Research Analyst

Operations Research Analyst

Top recruiters

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Eligibility Criteria

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Accepted fields include Computer Science, MBA, Bachelor of Computer Applications, Analytics.

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At least 24 months of full-time professional experience after graduation.

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At least 3.3 / 4 undergraduate GPA is expected.

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At least 16 years of bachelor degree.

English Proficiency Tests

  • IELTS

    6.5

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  • TOEFL

    90

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Standardised Test Score

  • GRE

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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: 75

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    Transcript

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    Resume

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    IELTS

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    Statement of Purpose

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    Academic LOR

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    Professional LOR

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    Passport

Application Deadlines

Space Available
FallApr 20, 2025

Fees and Funding

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Tuition Fees

$98,850 / year

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Overall Cost

$1,13,850 / year

FAQs

  • Prospective students should prepare a comprehensive application package that includes:

    • Transcript: Academic records from previous institutions.
    • Resume: A detailed account of your professional experience.
    • Essay: A thoughtful composition addressing your personal values and career aspirations.

    Additionally, international applicants must demonstrate English proficiency through standardized tests such as the TOEFL or IELTS. Although the GRE or GMAT is recommended, it is not mandatory for admission.

  • The program spans 18 months and features a comprehensive curriculum that includes:

    • Core Courses: Covering essential topics like Finance, Business Management, Accounting Management, Human Resource Management, and Sales and Marketing.
    • Specialized Courses: Focusing on advanced topics such as Machine Learning, Data Visualization, and Statistical Analysis.

    This structure ensures that students gain a holistic understanding of analytics and its applications across various business functions.

  • The faculty at the Olin Business School employs a teaching methodology that blends theoretical concepts with practical applications. This dynamic approach includes:

    • Active Participation: Professors encourage students to engage actively in discussions and collaborative projects.
    • Real-World Insights: Faculty members often collaborate with leading organizations, providing students with exposure to the latest industry trends and best practices.

    This combination creates an enriching educational experience that prepares students for real-world challenges.

  • Graduates from the MS in Business Analytics program can expect to enter a rapidly growing job market with diverse career pathways. Common job roles include:

    • Machine Learning Engineer
    • Data Architect
    • Data Scientist
    • Statistical Analyst
    • Chief Technology Officer

    The median base salary for graduates is around $130,000, reflecting the high demand for skilled professionals in this field. The program's alumni network further supports career advancement, as many graduates have taken leadership positions in top organizations across various industries.

  • One of the standout features of this program is its commitment to leveraging real-world data. Key aspects include:

    • Hands-On Experience: The program emphasizes practical application through projects and case studies.
    • Real-World Data Training: Students are trained in modern data science and machine learning capabilities.
    • Decision-Making Focus: The curriculum prepares students to apply analytics in decision-making processes, impacting business outcomes significantly.

    These features ensure that graduates are not only job-ready but also equipped to drive strategic initiatives within their organizations.

  • Washington University in St. Louis offers abundant research opportunities for students in the MS in Business Analytics program. Key elements include:

    • Access to Resources: Students have access to cutting-edge resources and facilities that enhance research capabilities.
    • Collaboration: Opportunities to work alongside faculty and industry partners on meaningful projects.
    • Innovative Solutions: The research-driven approach encourages students to explore various dimensions of business analytics and develop innovative solutions.

    This emphasis on research not only enriches the learning experience but also positions graduates as thought leaders in the field.

  • The MS in Business Analytics program has a dedicated career services team that offers substantial support for job placement. This includes:

    • Internship Opportunities: The program facilitates numerous internships, allowing students to gain real-world experience and build professional networks.
    • Employer Connections: The career services team connects students with potential employers eager to recruit talent skilled in data analysis and business strategy.

    This comprehensive support enhances students' chances of securing positions in the competitive job market.

  • Key highlights of the program include:

    • Comprehensive Curriculum: Integrates theory and practical application to prepare students for high-level analytics roles.
    • Experienced Faculty: Faculty members are industry experts and thought leaders in business analytics.
    • Strong Research Opportunities: Encourages innovation and critical thinking.
    • Robust Industry Connections: Facilitates internships and job placements for valuable experience.
    • Strong Alumni Network: Opens doors to career advancement in top organizations globally.
    • Focus on Decision-Making Skills: Prepares students for the demands of the analytics marketplace.

    These highlights showcase the program's commitment to equipping students with the skills and experiences necessary for success in the field of business analytics.

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