M.S. in Systems Engineering
The M.S. in Systems Engineering program at Johns Hopkins University is designed for ind...
M.S.E. in Applied Mathematics and Statistics
Baltimore, Maryland
INTAKE: Jan & Aug
Program Overview
The Master of Science in Engineering (M.S.E.) program in Applied Mathematics and Statistics at Johns Hopkins University (JHU) offers students a rigorous and comprehensive education in advanced mathematical and statistical techniques applied to real-world problems in various fields such as engineering, science, finance, and data analysis. This program equips students with the quantitative skills, analytical reasoning, and computational tools needed to address complex challenges and make informed decisions in diverse industries. The M.S.E. program in Applied Mathematics and Statistics at Johns Hopkins University offers students a dynamic and interdisciplinary education that prepares them for successful careers in a wide range of industries and fields. With its comprehensive curriculum, specialization tracks, interdisciplinary approach, advanced analytical tools, research opportunities, industry connections, and career development support, the program equips students with the knowledge, skills, and experiences needed to excel as applied mathematicians, statisticians, data scientists, and analysts in today's data-driven world.
Curriculum:
1. Comprehensive Curriculum: The M.S.E. in Applied Mathematics and Statistics program at JHU offers a comprehensive curriculum that covers a wide range of topics in applied mathematics, statistics, and computational methods. Students take core courses in mathematical modeling, probability theory, statistical inference, numerical analysis, optimization, and data analysis. The curriculum emphasizes both theoretical foundations and practical applications, preparing students to tackle real-world problems using mathematical and statistical techniques.
2. Specialization Tracks: Students in the program have the opportunity to choose specialization tracks based on their interests and career goals. Specialization tracks may include areas such as mathematical modeling, statistical analysis, data science, financial mathematics, computational biology, or machine learning. Each specialization track provides focused coursework and hands-on projects that allow students to develop expertise in specific areas of applied mathematics and statistics relevant to their career aspirations.
3. Interdisciplinary Approach: The M.S.E. program in Applied Mathematics and Statistics at JHU takes an interdisciplinary approach, drawing on expertise from various departments and disciplines across the university. Students have the opportunity to collaborate with faculty and researchers from fields such as engineering, computer science, biology, economics, and public health, gaining insights and perspectives from diverse domains and applying mathematical and statistical techniques to solve interdisciplinary problems.
4. Advanced Analytical Tools: Students in the program learn to use advanced analytical tools and computational methods to analyze data, model complex systems, and make predictions. They gain proficiency in programming languages such as Python, R, MATLAB, or Julia, as well as specialized software packages and libraries for mathematical modeling, statistical analysis, machine learning, and simulation. Through hands-on projects and practical exercises, students develop practical skills in data wrangling, visualization, statistical modeling, and algorithm development.
5. Research Opportunities: JHU is a leading research institution with a vibrant and collaborative research environment. Students in the M.S.E. program have access to cutting-edge research facilities, resources, and faculty mentors who are engaged in interdisciplinary research projects at the forefront of applied mathematics and statistics. Students have the opportunity to participate in research projects, collaborate with faculty on research papers, and contribute to cutting-edge research in their field of interest.
6. Industry Connections: JHU has strong connections with industry partners, government agencies, and research organizations, providing students with opportunities for internships, co-op experiences, and industry collaborations. The university's location in Baltimore, Maryland, offers students access to a diverse array of industries, including biotechnology, healthcare, finance, technology, and government, where they can apply their skills and knowledge in real-world settings and gain valuable professional experience.
7. Career Development Support: The M.S.E. program in Applied Mathematics and Statistics at JHU provides comprehensive career development support to help students succeed in their career goals. The university offers resources such as career counseling, networking events, job fairs, and workshops on resume writing, interviewing skills, and job search strategies. Faculty advisors and alumni mentors also provide guidance and support to students as they navigate their career paths and explore opportunities in academia, industry, government, or entrepreneurship.
Location
Baltimore, Maryland
Score
IELTS: 7
Tuition Fee
USD 60780
Johns Hopkins University has specific entry requirements for international students seeking admission to their postgraduate programs.
Application Fees : Waiver
Postgraduate Programs
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Academic Qualifications: International students applying for postgraduate programs at Johns Hopkins University are expected to have completed their previous education with a minimum academic performance of 70% or above. This requirement ensures that applicants have a strong academic foundation to succeed in their chosen field of study.
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English Language Proficiency: For postgraduate programs, a minimum IELTS score of 7 or a minimum TOEFL score of 100 is typically required.
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Graduate Record Examination (GRE): For postgraduate programs, a competitive GRE score of around 300 is generally expected.
However, it is important to note that specific program requirements may vary, and students should check the requirements for their intended program of study.
Johns Hopkins University recognizes the importance of providing financial support to international students to make their education more accessible. The university offers a range of scholarships and financial aid opportunities specifically for international students.
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Global Scholarships: Johns Hopkins University offers a limited number of merit-based scholarships to exceptional international students. These scholarships are highly competitive and are awarded based on academic achievements, leadership potential, and other outstanding qualities. The Global Scholarships can cover full or partial tuition costs.
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Need-Based Financial Aid: The university also provides need-based financial aid to international students who demonstrate financial need. Through the Office of Financial Aid, students can apply for grants, loans, and work-study opportunities to help cover their educational expenses.
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External Scholarships: Johns Hopkins University encourages international students to explore external scholarship opportunities. The university maintains a list of external scholarship programs and resources that students can access to fund their education. These scholarships may be provided by government organizations, private foundations, or other institutions.
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Departmental Scholarships: Some academic departments within the university offer scholarships and assistantships specifically for international students pursuing certain fields of study. These scholarships are often based on academic excellence and may provide financial support for tuition fees and living expenses.
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Diversity and Inclusion Scholarships: Johns Hopkins University is committed to promoting diversity and inclusion within its student body. As part of this commitment, the university offers scholarships and grants to students from underrepresented backgrounds, including international students, who contribute to the diversity and inclusive culture of the university.
It's important to note that the availability and eligibility criteria for scholarships may vary each year.
Graduating with a Master of Science in Engineering (M.S.E.) in Applied Mathematics and Statistics from Johns Hopkins University (JHU) opens up a multitude of career opportunities in various industries where quantitative analysis, data-driven decision-making, and problem-solving skills are highly valued. With a strong foundation in advanced mathematical and statistical techniques, graduates of this program are well-equipped to pursue rewarding careers in sectors such as finance, technology, healthcare, consulting, government, and academia.
1. Data Scientist/Analyst: One of the most sought-after career paths for M.S.E. in Applied Mathematics and Statistics graduates is that of a data scientist or data analyst. Graduates are equipped with the skills to collect, clean, analyze, and interpret large volumes of data to derive actionable insights and make data-driven decisions. They may work for technology companies, financial institutions, healthcare organizations, research institutions, or government agencies, helping to extract value from data to drive business strategies, improve operational efficiency, or inform policy decisions.
2. Quantitative Analyst/Financial Engineer: Graduates may pursue careers as quantitative analysts or financial engineers in the finance industry. They use mathematical and statistical models to analyze financial markets, develop trading strategies, assess risk, and value financial instruments such as stocks, bonds, derivatives, and options. Quantitative analysts may work for investment banks, hedge funds, asset management firms, or insurance companies, applying their quantitative skills to optimize investment portfolios, manage risk exposure, and generate alpha.
3. Actuary/Insurance Analyst: Graduates with a strong background in applied mathematics and statistics may choose to pursue careers as actuaries or insurance analysts. Actuaries use mathematical models and statistical techniques to assess risk, price insurance products, and design financial strategies to mitigate risk. They may work for insurance companies, consulting firms, or government agencies, analyzing data on mortality, morbidity, and other risk factors to determine insurance premiums, reserves, and liabilities.
4. Operations Research Analyst: Graduates may work as operations research analysts, applying mathematical modeling and optimization techniques to solve complex problems in logistics, supply chain management, transportation, scheduling, and resource allocation. Operations research analysts may work for manufacturing companies, transportation firms, healthcare organizations, government agencies, or consulting firms, helping to improve efficiency, reduce costs, and optimize decision-making processes.
5. Biostatistician/Health Data Analyst: Graduates may pursue careers as biostatisticians or health data analysts in the healthcare and biomedical industries. They use statistical methods to analyze medical data, clinical trials, epidemiological studies, and public health datasets to assess health outcomes, identify trends, and inform healthcare policy and decision-making. Biostatisticians may work for pharmaceutical companies, research institutions, government agencies, or healthcare providers, contributing to the development of new treatments, interventions, and healthcare policies.
6. Research Scientist/Academic Researcher: Graduates may pursue careers as research scientists or academic researchers, conducting original research in applied mathematics, statistics, or interdisciplinary fields such as computational biology, bioinformatics, or environmental science. They may work in academia, government research laboratories, or private research institutions, conducting research, publishing papers, and contributing to scientific advancements in their field of expertise.
7. Consultant/Analytics Manager: Graduates may work as consultants or analytics managers, providing expertise and guidance to organizations in various industries on data-driven decision-making, predictive modeling, and business analytics. They may work for consulting firms, technology companies, or analytics departments within organizations, helping clients leverage data to solve complex problems, optimize processes, and gain competitive advantages in the marketplace.
