University of Memphis

What you'll study

This applied master's emphasises core computing foundations alongside hands-on, industry-relevant topics. Typical coursework covers algorithms and data structures, advanced programming and software engineering, operating systems, databases and database design, computer networks, and systems security. Elective and specialised modules frequently include machine learning and artificial intelligence, data mining and big data analytics, mobile and cloud computing, embedded systems, and cybersecurity.

Students normally choose between a thesis (research) option and a project or coursework-only (non-thesis) option. The thesis route is suited to those interested in research or continuation to doctoral study, while the project/non-thesis route focuses on an industry-oriented practicum or capstone project that applies learned techniques to real-world problems. Research seminars, lab rotations and opportunities to collaborate with research centres and local companies form an important part of the applied experience.

Entry requirements

• A recognised bachelor's degree in computer science, software engineering, electrical engineering, mathematics or a closely related discipline. Applicants with degrees in other fields may be considered if they demonstrate sufficient computing background through prior coursework or work experience.
• A solid undergraduate academic record; departments typically expect a satisfactory GPA in prior study. Exact GPA expectations are set by the department.
• Submission materials: official transcripts, a statement of purpose describing academic and professional goals, a current CV or résumé, and letters of recommendation (usually two or three).
• International applicants must provide evidence of English proficiency (for example TOEFL or IELTS) unless exempt under the university's policies.
• GRE scores may be requested or considered by the admissions committee in some cases; relevant professional experience or strong academic credentials can also support an application.

Career prospects

Graduates with an applied MS in Computer Science from the University of Memphis enter a wide range of technical and leadership roles. Common career destinations include software engineer, systems or network engineer, data scientist/analyst, machine learning engineer, cybersecurity analyst/engineer, cloud solutions architect and embedded systems developer. The applied focus and capstone project also prepare graduates for roles in product development, IT consulting and technical project management.

For those inclined towards research or academia, the thesis option provides preparation for PhD study and research positions. Graduates also benefit from the Memphis regional economy, with opportunities in logistics, healthcare technology, fintech and manufacturing, as well as with national and international employers who recruit from the university.

Why study at University of Memphis

• Established computer science department with faculty working across applied areas such as artificial intelligence, data analytics, cybersecurity, networking and software engineering.
• Access to multidisciplinary research centres and institutes, fostering collaboration between computing and sectors such as logistics and healthcare.
• Strong industry links in the Memphis region, creating internship and practicum opportunities with local employers as well as national companies with regional operations.
• Flexible study options: the programme typically supports both research and professionally oriented routes, and the department offers part-time study to accommodate working professionals.
• Facilities and labs for software development, high-performance and data-intensive computing, enabling students to gain hands-on experience with current tools and platforms.