Applied mathematics and statistics

Study mode:On campus Study type:Full-time Languages: English
Local:$ 68.7 k / Year(s) Foreign:$ 68.7 k / Year(s) Deadline: Sep 15, 2024
12 place StudyQA ranking:4563 Duration:

Photos of university / #johnshopkinsu

Applied mathematics and statistics is an integral part of emerging fields such as computational medicine/biology, language processing, information security, and computer science. In today’s data-intensive world, it is used to answer questions and solve problems in areas as diverse as finance, government and law, medicine, and national defense.

Beginning freshmen year at Johns Hopkins, students in applied mathematics and statistics work alongside faculty members who are world-class leaders in their fields, participating in research that typically takes place only in Ph.D. programs. Our undergraduate program is flexible enough to provide opportunities to integrate your mathematical reasoning and modeling skills with other academic and personal pursuits, including adding a second major.

Today’s employers need experts with a solid grasp of the sophisticated analytical tools to crunch big data and make solid decisions, and that’s what Johns Hopkins offers. Our AMS graduates are equipped with the analytical skills and expertise in machine learning and data-mining that prepare them to be leaders in the global economy.

Students may work toward either the master of arts (M.A.) degree or the master of science in engineering (M.S.E.) degree in applied mathematics and statistics. All master’s degrees in applied mathematics and statistics ordinarily require a minimum of two semesters of registration as a full-time resident graduate student.

To obtain departmental certification for the master’s degree in Applied Mathematics and Statistics, the student must:

  1. Complete satisfactorily at least eight one-semester courses of graduate work in a coherent program approved by the faculty advisor. All 600-level and 700-level courses (with the exception of seminar and research courses), and some 400-level courses in the department are satisfactory for this requirement.  Certain courses in other departments are also acceptable.  At most 3 courses outside the department may be counted toward the Master's degree requirements.
  2. Meet either of the following options:
    • (a) submit an acceptable research report based on an approved project; or
    • (b) complete satisfactorily two additional one-semester graduate courses, as approved by the faculty advisor.
  3. Satisfy the computing requirement by receiving a grade of B- or better in one of the following courses:
    EN.550.400 Mathematical Modeling and Consulting 4.00
    EN.550.413 Applied Statistics and Data Analysis 4.00
    EN.550.415 Practical Scientific Analysis of Big Data 3.00
    EN.550.433 Monte Carlo Methods 3.00
    EN.550.436 Data Mining 4.00
    EN.550.443 Financial Computing in C++ 4.00
    EN.550.450 Computational Molecular Medicine 4.00
    EN.550.487 Numerical Methods for Financial Mathematics 3.00
    EN.550.493 Mathematical Image Analysis 3.00
    EN.550.632 Bayesian Statistics 3.00
    EN.550.643 Graphical Models 4.00
    EN.550.653 Commodities and Commodity Markets 3.00
    EN.550.661 Foundations of Optimization 3.00
    EN.550.662 Optimization Algorithms 3.00
    EN.550.680 Shape and Differential Geometry 3.00
    EN.550.681 Numerical Analysis 4.00
    EN.600.475 Machine Learning 3.00
  4. Complete an area of focus by taking three courses in one of the following areas. A list of courses that can be counted toward each area of focus will be maintained and updated every year.  Some courses from other departments can be eligible to count toward area of focus.  They can be used within the three-course limit specified in point 1, above. This list of courses is based on recent offerings. Not all classes are available every year and substitute classes may be accepted if approved by the advisor and the Academic Affairs Committee.  Higher level classes (700 or 800) can be accepted if given a letter grade.
    Probability Theory  

    EN.550.426

    Introduction to Stochastic Processes  

    or EN.550.427

    Stochastic Processes and Applications to Finance

    EN.550.428

    Stochastic Processes and Applications to Finance II  

    EN.550.433

    Monte Carlo Methods  

    EN.550.620

    Probability Theory I  

    EN.550.621

    Probability Theory II  

    EN.550.622

    Introduction to Stochastic Calculus  

    EN.550.663

    Stochastic Search & Optimization  

    EN.550.664

    Modeling, Simulation, and Monte Carlo  
    Statistics and Statistical Learning  

    EN.550.413

    Applied Statistics and Data Analysis  

    EN.550.415

    Practical Scientific Analysis of Big Data  

    EN.550.434

    Nonparametric Statistics  

    EN.550.436

    Data Mining  

    EN.550.439

    Time Series Analysis  

    EN.550.450

    Computational Molecular Medicine  

    EN.550.630

    Statistical Theory  

    EN.550.631

    Statistical Theory II  

    EN.550.632

    Bayesian Statistics  

    EN.550.633

    Advanced Topics in Bayesian Statistics  
    Optimization and Operations Research  

    EN.550.461

    Optimization in Finance  

    EN.550.453

    Mathematical Game Theory  

    EN.550.463

    Network Models in Operations Research  

    EN.550.661

    Foundations of Optimization  

    EN.550.662

    Optimization Algorithms  

    EN.550.663

    Stochastic Search & Optimization  

    EN.550.665

    Convex Optimization  

    EN.550.666

    Combinatorial Optimization  
    Computational and Applied Mathematics  

    EN.550.443

    Financial Computing in C++  

    EN.550.492

    Mathematical Biology  

    EN.550.493

    Mathematical Image Analysis  

    EN.550.680

    Shape and Differential Geometry  

    EN.550.681

    Numerical Analysis  

    EN.550.692

    Matrix Analysis and Linear Algebra  

    EN.550.695

    Advanced Parameterization in Science and Engineering  
    Discrete Mathematics *  

    EN.550.471

    Combinatorial Analysis  

    EN.550.472

    Graph Theory  

    EN.550.666

    Combinatorial Optimization  

    EN.550.671

    Combinatorial Analysis  

    EN.550.672

    Graph Theory  

    EN.600.463

    Algorithms I  

    EN.600.464

    Randomized and Big Data Algorithms  

    EN.600.469

    Approximation Algorithms  

    EN.600.470

    Combinatorics & Graph Theory in Computer Science  

    EN.600.471

    Theory of Computation  
    *

    The Discrete Mathematics area of focus requires a minimum of one listed course taken within the Applied Mathematics and Statistics department, but the other two courses may include the listed Computer Science offerings.  These courses can be used within the three-course limit specified in point 1, above.

  5. Complete training on the responsible and ethical conduct of research, if applicable.  Please see WSE Policy on the Responsible Conduct of Research.
  6. Complete training on academic ethics.

An overall GPA of 3.0 must be maintained in courses used to meet the program requirements.  At most two course grades of C or C+ are allowed to be used and the rest of the course grades must be B- or better.

Each candidate for the master’s degree must submit to the department for approval a written program stating how they plan to meet their degree requirements.  This should be done early in the first semester of residence.

Doctoral students in other departments may concurrently undertake  a master’s program in Applied Mathematics and Statistics with the permission of the AMS department and an application review. Application forms and information are available in the department office.

  • Letters of Recommendation (3),
  • GRE,
  • TOEFL/IELTS,
  • Statement of Purpose addressing your interest in graduate study in applied mathematics at JHU or another topic of your choice,
  • Transcripts,
  • GRE Subject (optional)
Similar programs:
Study mode:On campus Languages: English
Local:$ 47.3 k / Year(s) Foreign:$ 47.3 k / Year(s)
Deadline: Dec 13, 2024 2 place StudyQA ranking: 4382
Study mode:On campus Languages: English
Foreign:$ 42.7 k / Year(s)
Deadline: Feb 1, 2025 401–500 place StudyQA ranking: 2497
Study mode:On campus Languages: English
Local:$ 46.8 k / Year(s) Foreign:$ 46.8 k / Year(s)
Deadline: Jan 15, 2025 101 place StudyQA ranking: 4860
Study mode:On campus Languages: English
Local:$ 50.4 k / Year(s) Foreign:$ 50.4 k / Year(s)
Deadline: Jan 15, 2025 24 place StudyQA ranking: 3196