Indiana University Bloomington

What you'll study

This master’s programme focuses on the foundations and applications of engineered systems that integrate hardware, software and human interaction. Core themes typically include systems modelling and simulation, control theory, embedded systems and sensors, machine learning for engineering, robotics and autonomous systems, human-centred design, and software engineering practices for real-time and safety-critical applications.

• Core modules: systems modelling and analysis, controls and dynamics, embedded systems and hardware interfacing, and software engineering for engineered systems.
• Advanced electives: autonomous robotics, computer vision, machine learning for engineering, cyber-physical systems security, optimisation and probabilistic methods, and human–machine interaction.
• Capstone or thesis: students usually choose between a project-based capstone with an industry or lab sponsor and a research thesis supervised by a faculty member; both options emphasise practical system design, implementation and evaluation.
• Research and lab work: hands-on laboratory courses and opportunities to work in university research centres on topics such as intelligent systems, sensors and instrumentation, and embedded computing.

Structure and study mode

The programme can be completed full-time over roughly one to two years depending on course load and whether a thesis is undertaken. Degree requirements combine required courses, elective credits and the capstone or thesis component. Part-time and flexible study arrangements may be available to accommodate working professionals.

Entry requirements

Applicants should hold a relevant bachelor’s degree in engineering, computer science, mathematics, physics or a closely related field. Strong quantitative preparation and some programming experience are expected. Typical application materials include official transcripts, a statement of purpose outlining academic and professional goals, a current résumé or CV, and letters of recommendation.

• Academic background: undergraduate coursework in calculus, linear algebra, differential equations, and introductory programming is expected; prior exposure to signals, control, or circuits is advantageous for certain specialisations.
• Standardised tests: the programme’s policy on standardised tests varies; consult the school for current guidance on whether tests such as the GRE are required or optional.
• International applicants: proof of English language proficiency is required if the applicant’s prior instruction was not in English; specific score requirements should be checked with the admissions office.
• Professional experience: while not always required, relevant industry experience can strengthen an application, particularly for project-based or applied tracks.

Career prospects

Graduates go on to technical roles that bridge hardware and software, or to further research study. Common destinations include positions as systems or controls engineers, robotics and automation engineers, embedded systems developers, machine learning engineers working on perceptual systems, and product engineers in sectors such as automotive, aerospace, medical devices, manufacturing and consumer electronics.

• Industry roles: design and integration of cyber-physical systems, development of embedded and real-time software, and engineering leadership in product development teams.
• Research and development: employment in corporate R&D labs or continuation to PhD programmes for careers in academic or industrial research.
• Career services and networking: the university’s career resources, alumni networks and ties to regional and national technology companies support internships and graduate hiring.

Why study at Indiana University Bloomington

Indiana University Bloomington combines a research-active engineering faculty with interdisciplinary strengths in computing, informatics and data science. Students benefit from hands-on lab facilities, collaborations with research centres, and opportunities to work on applied projects with faculty or industry partners. The campus environment offers access to broader university resources across multiple disciplines, enabling students to pair engineering training with courses in business, public policy or the life sciences.

Additionally, the campus location provides connections to regional technology and manufacturing sectors as well as Big Ten research networks, supporting both academic growth and professional opportunities for graduates.