Temple University

1 Programs 1 Degree levels
PhD

PhD in MIS

DegreePhD
FieldMis
C

Cost & earnings at Temple University What students borrow here, and what they go on to earn

You borrow $24,395 median federal debt
You repay $277/mo over 10 years
Graduates earn $63,727 10 yrs after entry
Debt clears in 1 yrs of the salary premium
US Department of Education figures See the full breakdown →

The PhD in Management Information Systems (MIS) at Temple University is a research-focused doctoral programme designed to prepare scholars for careers in academic research and high-level research roles in industry or government. It suits candidates with strong quantitative and analytical backgrounds who want to develop original research on information systems, data analytics, organisational IT strategy and related areas.

What you'll study

The PhD in MIS emphasises rigorous training in research methods, theory development and empirical investigation. Early coursework typically covers advanced statistics, econometrics, research design, linear models, and computational methods, alongside core MIS topics such as information systems theory, human–computer interaction, data analytics, business intelligence and socio-technical aspects of IT. Students participate in regular doctoral seminars that review current literature, develop research questions and present working papers.

As you progress, the programme shifts toward independent research: qualifying examinations, a comprehensive exam or portfolio, and supervised dissertation work that contributes original knowledge to the MIS field. Students commonly take elective courses across disciplines — for example, computer science, operations research, strategy, organisational behaviour or economics — to support interdisciplinary projects. Teaching and presentation experience is provided through assistantships, workshops and conferences.

Entry requirements

Applicants are expected to hold a strong undergraduate degree and usually a master’s degree in a relevant area (such as information systems, computer science, statistics, management or a related social science). A demonstrated quantitative aptitude is essential, shown by prior coursework (for example, calculus, linear algebra, probability/statistics), research experience, or strong grades in quantitative modules.

Typical application materials include academic transcripts, a curriculum vitae, a statement of research interests, writing samples or research papers, and several academic references. Many successful applicants have prior research experience (such as a research assistantship or master’s thesis). Applicants whose first language is not English may need to provide evidence of English language proficiency in line with university policy. The admissions committee looks for evidence of fit with departmental research strengths and potential for a sustained research career.

Career prospects

Graduates of the PhD in MIS typically pursue careers in academia as tenure-track faculty at business schools and computer science departments, where they teach and conduct research. Other common career paths include research scientist or senior researcher positions in technology firms, data science and analytics leadership roles, R&D roles in industry labs, policy or research roles in government and non-profit research organisations, and senior consulting roles that require deep methodological expertise.

The programme’s emphasis on methodological rigour and interdisciplinary training equips graduates to lead empirical and design-oriented projects, publish in leading journals, supervise students and obtain grant funding.

Why study at Temple University

Temple University’s Fox School of Business offers an MIS PhD embedded in an active research community with faculty working across diverse MIS topics such as analytics, digital innovation, privacy/security, and socio-technical systems. Doctoral students benefit from close mentorship, regular research seminars, and opportunities to collaborate with faculty across departments.

Located in Philadelphia, the university provides access to a broad regional technology and business ecosystem for applied research partnerships and data access. PhD students are supported through doctoral training resources, computing and data facilities, and opportunities to gain teaching experience, all intended to prepare graduates for successful research careers.