University of Memphis

What you'll study

The programme covers core areas of computing and information science while allowing specialisation in topics such as machine learning, data science, databases, cybersecurity, software engineering, computer networks and human–computer interaction. Typical modules include advanced algorithms and data structures, database systems and data management, operating systems and networking, applied machine learning and data mining, software design and engineering, secure computing and system administration, and research methods in computing.

Students can usually choose between a thesis option, which emphasises original research and culminates in a master’s thesis, and a non‑thesis or project option focused on advanced coursework and a capstone project. Program formats often include a mix of lectures, laboratory work, seminars, and supervised research. Elective coursework and independent study allow students to tailor the degree toward industry applications or academic research.

Entry requirements

Applicants are expected to hold a recognised bachelor’s degree in computer science, information systems, engineering or a closely related discipline. Strong performance in core undergraduate computing subjects such as programming, data structures, discrete mathematics and systems is normally required. Where background is incomplete, departments may require prerequisite courses or offer bridging modules.

Typical application documentation includes official transcripts, a statement of purpose describing academic and professional goals, letters of recommendation, and a current CV or résumé. Some applicants may be asked for GRE scores depending on departmental policy. International applicants must demonstrate English language proficiency through recognised tests unless exempted by prior study in English.

Career prospects

Graduates move into a wide range of technical and leadership roles across industry, government and research. Common career paths include software engineer, data scientist/analyst, systems architect, network or cloud engineer, cybersecurity analyst, database administrator and machine learning engineer. The degree also prepares students for further study at doctoral level and for roles that require advanced analytical and research skills in sectors such as logistics, healthcare, finance and technology.

Students benefit from the University of Memphis’s regional industry connections for internship and employment opportunities, enabling practical experience and employer networking while studying.

Why study at University of Memphis

The University of Memphis offers access to active research centres and interdisciplinary collaborations that expand the scope of computing study, including initiatives that link computing with logistics, medical informatics and data analytics. The department maintains research-active faculty working in contemporary areas such as machine learning, cybersecurity, databases and networking.

Facilities include modern computing laboratories and access to high‑performance resources. The university’s location in a city with a strong logistics and healthcare sector provides internship and applied research opportunities. The programme’s flexible delivery options and a choice of thesis or project routes make it suitable for both career changers and those pursuing academic research.

Support services for graduate students—such as advising, career services and help with research funding and assistantships—help students progress academically and professionally throughout the master’s programme.