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QS Rank:

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316

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University of Notre Dame

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Indiana

United States

The Master of Science in Applied and Computational Mathematics and Statistics at the University of Notre Dame stands as a beacon of academic excellence, merging theoretical knowledge with practical applications. With a focus on both Computational Mathematics and its statistical foundations, this program is tailored for students who aspire to excel in a data-driven world. The curriculum is meticulously crafted to cover a variety of essential topics, ensuring that graduates are well-prepared to tackle real-world challenges in various sectors.

The program's curriculum is rigorous and comprehensive, integrating core courses such as Numerical Analysis, Statistical Inference, and Data Science. Students will delve into advanced topics including Machine Learning, Optimization, and Statistical Modeling. Additionally, electives allow for specialization in areas like Financial Mathematics and Operations Research, giving students the flexibility to tailor their education to match their career aspirations. The program spans over a duration of 10 months, providing an intensive learning experience that equips students with the skills necessary to thrive in competitive job markets.

Faculty expertise is one of the cornerstones of the University of Notre Dame's program. The faculty comprises renowned scholars and industry experts, who not only teach but also engage students in cutting-edge research. Students benefit from a teaching methodology that emphasizes interactive learning and critical thinking. Faculty members often involve students in their research projects, allowing them to gain firsthand experience in data analysis, modeling techniques, and computational tools. This mentorship fosters a collaborative environment where students can develop their analytical skills and apply theoretical concepts to practical scenarios.

Moreover, the University of Notre Dame provides a wealth of research opportunities and resources. Students have access to high-end laboratories equipped with the latest software and technology, enhancing their ability to conduct quality research. Collaborations with various departments allow for interdisciplinary studies, enriching the academic environment and providing students with a broader perspective on complex issues. The university also has strong connections with industry leaders, resulting in internship possibilities that offer valuable work experience. These internships often lead to job placements, as many companies seek out graduates from established programs with a proven track record.

Graduates of the program are well-positioned to enter a diverse range of careers. The career pathways for students include roles such as Statistician, Data Scientist, Financial Analyst, and Operations Research Analyst. The median base salary for graduates is approximately $90,000, which reflects the high demand for skills in applied mathematics and statistics. With a strong reputation for producing competent professionals, the university’s alumni have secured positions in well-known firms and organizations, showcasing the effectiveness of the program's curriculum and the university's career support services.

Furthermore, alumni success stories highlight the program's impact on their careers. Many alumni have gone on to publish their research in prestigious journals, while others have taken on significant roles in academia or industry. Testimonials emphasize the transformative learning experience, the supportive faculty, and the extensive resources available to students. The unique combination of rigorous academic training and practical experience prepares graduates to excel in their chosen fields, making them competitive candidates in the job market.

Why Study Applied and Computational Mathematics and Statistics at University of Notre Dame

  • A popular choice for international students with a diverse community, fostering cultural exchange and collaboration.
  • Learn from distinguished faculty members who are leaders in their fields, and have opportunities to become their research assistants.
  • Access to state-of-the-art labs and facilities designed to facilitate groundbreaking research and exploration.
  • Excellent career placement programs and networking opportunities that connect students with top employers in emerging sectors.
  • A robust alumni network that provides mentorship and career guidance, helping students navigate their professional journeys.

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Duration

10 Months

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Median Salary

$90,000

Ranking

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#322

US World and News Report

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#316

QS World University Rankings

Class Profile

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Class Size

25

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Average Age

25

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Average Work Experience

1 Years

Diversity

International:

10%

Asian American:

12%

Hispanic American:

10%

African American:

7%

White American:

70%

Career Outcomes

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Median Earnings After Graduation

$90,000 / year

Prospective Job Roles

Statistician

Mathematician

Software Engineer

Research Scientist

Financial Analyst

Quantitative Analyst

Risk Analyst

Data Scientist

Actuary

Operations Research Analyst

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • TOEFL

    100

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  • 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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    Transcript

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    GRE

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    Academic LOR

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    Resume

Application Deadlines

Fees and Funding

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Tuition Fees

$59,610 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The University of Notre Dame offers a variety of scholarships for students pursuing a master's degree in applied and computational mathematics and statistics. These scholarships are based on academic merit, financial need, and other factors. Some of the best scholarship providers for this program include the National Science Foundation, the American Mathematical Society, and the Society for Industrial and Applied Mathematics.

FAQs

  • A student can complete Applied and Computational Mathematics and Statistics at University of Notre Dame with in 10.
  • The application fee to pursue Applied and Computational Mathematics and Statistics at University of Notre Dame is USD 75 for international students.
  • The annual tuition fee to pursue Applied and Computational Mathematics and Statistics at University of Notre Dame is USD 59610.
  • The submission of these scores mainly depends on the type of degree/ course selected at the University of Notre Dame. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check University of Notre Dame requirements before submitting a score.
  • Applied and Computational Mathematics and Statistics can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
  • If a student fulfils all the eligibility criteria and admission requirements of University of Notre Dame, they can easily pursue Applied and Computational Mathematics and Statistics. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
  • An MS degree at University of Notre Dame can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of Notre Dame website to check the course/ degree duration.
  • One can apply for scholarships to pursue their international education at University of Notre Dame by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.

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