Admissions

All graduate applicants new to JHU must 

• have completed a bachelor’s degree or the equivalent prior to starting a graduate program in the WSE; 

• meet English Proficiency requirements (if relevant); 

• submit at least 3 letters of recommendation; 

• submit transcripts from all prior educational institutions (unofficially in application, official once accepted) 

For more information about WSE Admissions, click Here. For other application questions, click here. 

• Bachelor’s degree in engineering, science, or math. (Or demonstrated knowledge or accomplishment in these fields) 
• Graduate Application 
• Statement of Purpose (no more than one page) – in your statement of purpose please consider the following questions:
  • Why are you interested in doing an MSE in Robotics? To answer this question, consider at least one of these questions:
    • What goal/s will this degree program help you achieve? 
    • What do you hope to learn during the Robotics MSE?
    • What do you want to do after you graduate, and how do you see the MSE degree from JHU as assisting in that goal?
  • What prepared or motivated you to apply specifically to this program?
• Transcript 
• (Optional) Graduate Record Examination (GRE). Please use institution code: 4655. If GRE scores are submitted, they will be reviewed.
• IELTS, Cambridge Assessment English, or TOEFL for international applicants. Please note: while the Robotics program accepts both the TOEFL and the IELTS tests, we strongly prefer the IELTS.
• Three letters of reference 
• For non-USA academic work, JHU Graduate Admissions and the Robotics MSE program strongly recommends you submit a professional evaluation from one of the recommended resources (more information here). This evaluation is not required, but inclusion of a professional transcript evaluation greatly increases understanding of your academic accomplishments. 

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Like the university, Robotics welcomes applications from all. 

Robotics Distinguished Master’s Fellowships 

All Robotics MSE applicants will be considered for a limited number of Robotics Distinguished Master’s Fellowships, which offer partial tuition remission.   

Home to Hopkins 

If you are admitted and you are interested in taking part in the Home to Hopkins Program, which allows admitted applicants to take up to two courses online through the Engineering for Professionals program in the summer session preceding their first fall semester, please email LCSR’s Academic Program Manager, Sonya Brown, at [email protected] for more information. 

Academic Preparation for the MSE in Robotics at JHU  

Prospective students often ask us to outline preparatory coursework for the Robotics MSE program. This page is designed to provide this guidance. However, exceptional applicants with backgrounds in other fields of study can also do some of this preparatory work through a variety of means, such as  

• Taking courses online prior to beginning in-person study through the Engineering for Professionals program. 

• Taking and/or auditing Hopkins’ undergraduate courses in their first semester of study. 

We encourage you therefore to reach out with questions about preparation and, if admitted, work closely with your academic advisor to determine which options are best for you!  

Math and Physics Proficiency Recommended Prerequisites 

Proficiency in undergraduate mathematics and physics is expected for all MSE students in the robotics program: 

• Multivariable integral and differential calculus 

• Linear algebra 

• Ordinary differential equations 

• Physics – undergraduate calculus-based mechanics, electricity, and magnetism. 

• Probability and statistics 

The core courses assume MSE students have these proficiencies in the prerequisites. 

Computing Proficiency Prerequisites 

All MSE students in the robotics program are expected to be proficient in computer programming: 

• Basic numerical methods using existing programming environments. 

• The ability to write well-structured and documented programs in a standard programming language such as C++, Java, or MATLAB.