John Hopkins University

What you'll study

This master's provides an interdisciplinary mix of core engineering, systems modelling and energy-focused specialisms. Typical taught modules cover energy systems modelling, power systems analysis, renewable energy technologies, energy storage and battery systems, thermal systems and fluid dynamics, controls and optimisation, and energy economics and policy. Courses emphasise quantitative methods: students study numerical simulation, data analytics for energy, optimisation techniques for system operation, and control strategies for grid integration.

• Core technical subjects: thermodynamics and heat transfer for energy applications, power electronics and converters, and electrical power system fundamentals.
• Systems and modelling: energy system modelling, multi-scale and multi-sector integration, demand modelling and scenario analysis.
• Advanced topics: battery and storage technologies, renewable generation (wind, solar), microgrids and distributed energy resources, and resilience of energy infrastructure.
• Professional and applied work: laboratory or simulation-based practicals, a team capstone or applied project, and optional research thesis routes where available.

Programme structure typically combines core modules, a choice of electives to tailor specialist interests, and a final project or capstone that applies technical skills to a real-world energy problem. Students can often draw on cross-disciplinary electives in economics, policy, data science or systems engineering.

Entry requirements

Applicants normally need a bachelor's degree in engineering, physics, mathematics, computer science, or a closely related quantitative discipline. Admissions typically consider the strength of the undergraduate record, the relevance of prior coursework (for example in mathematics, circuits, thermodynamics or programming), letters of recommendation, a statement of purpose, and a CV.

• Academic background: an undergraduate degree with substantial quantitative content; some programmes expect prior exposure to linear algebra, calculus, and introductory engineering or programming.
• Supporting documents: academic transcripts, two or three academic/professional references, a personal statement describing objectives and relevant experience, and a current CV.
• Standardised tests and English language: standardised test requirements (such as the GRE) and English language proficiency tests have varied over time; applicants should check the department’s admissions page for current policies.
• Professional experience: relevant industry or research experience can strengthen an application, especially for candidates from non‑engineering backgrounds seeking conversion to energy systems.

Career prospects

Graduates go on to technical and leadership roles across the energy sector. Typical career destinations include roles as energy systems engineers, power systems analysts, grid integration engineers, battery and storage specialists, renewable project engineers, and energy modeller/analysts. Alumni also move into energy consulting, utilities, technology providers, system integrators, government and regulatory agencies, and research or doctoral study.

The programme equips students for positions requiring skills in numerical modelling, optimisation, control, data analysis, and technical project delivery — valuable both for engineering roles and for interdisciplinary positions that bridge technology, policy and business planning in the energy transition.

Why study at John Hopkins University

Johns Hopkins offers a research-led engineering environment with strong strengths in systems engineering, applied physics and data-driven analysis. Students benefit from access to faculty working on applied energy research, opportunities for collaboration across departments, and connections to research centres and applied laboratories.

The university’s location and institutional links provide opportunities to engage with industry partners, government agencies and research labs, enabling applied projects, internships and networking. The programme’s emphasis on rigorous quantitative training and system-level thinking is suited to students aiming to influence the technical direction of decarbonisation and resilient energy infrastructure.