Master of Science in Telecommunications

Telecommunications now relies upon data analytics, machine learning, and information processing and how networks can serve humans – for example by enabling surgeons to perform remote surgery with low latency 5G networks. The Master of Science in Telecommunications (MST) program explores how information flows through networks to support human needs. Networks, traditionally the focus of phone service and then the internet, are now present in most aspects of our lives, from smart homes to cyber-physical systems. On a daily basis, communication and computer networks are utilized to support business operations, educational pursuits, health care, transportation networks, and social networks (both physical and virtual) for human well-being. The MST program is designed to produce telecommunications professionals who will design, build, secure, and manage networks and infrastructure that accommodate innovative usages of the networks by people, organizations, and businesses.

Graduates will gain a strong foundation in the design of network protocols, wireless networks, network security, and performance enhancement for communication networks. Coursework in data mining, machine learning, and algorithms prepares students for careers that call for maximizing network utilization, supporting information flow in the cloud, and tailoring networks to user needs and expectations. Graduates will have the skills and knowledge sought after by telecommunications equipment manufacturers, wireless providers, enterprise network users such as financial or pharmaceutical companies, and data center owners. Graduates also have chances to examine general network science and analysis to gain knowledge on emerging communication services from stand-alone streaming media to information flow on social networks.

Admission Deadlines: January 15 for international and July 15 for domestic applicants. Apply Now.

Admission Requirements and Program Details

Policies for MS Programs

FAQs for International Students

Recent Graduates' Career Success

MST Degree Requirements

All MST students are required to take the following five classes. Students must submit a petition to the faculty to waive any of the required core courses.

MST Required Courses

MST Required Seminar Course

Students in the MST degree program must take the following required course:

MST Electives

Students in the MST degree program must take two electives from the following list:

Additional Approved Electives

Students may select two courses from the department’s standard graduate course offerings, including independent study and practicum experiences.

Students may also pursue opportunities that fall outside of the department’s standard graduate course offerings such as the Pittsburgh Council on Higher Education cross-registration, doctoral seminars, courses offered in other Pitt graduate departments, or undergraduate upper-level coursework in information science or computer science (1100-1999). These opportunities may not exceed six credits and require advisor approval prior to enrollment.

The MS Thesis Option

For students first enrolling in Fall 2022 and beyond



The overall goal of master’s thesis option is to provide students under the guidance of Thesis advisor and Thesis Committee with an opportunity to gain research experience, conduct an innovative research project, explore a focused topic area, improve publication records, and examine the suitability of pursuing a research and/or an academic career. A successful master thesis will generate high quality research publications, deepening understanding of a research topic, and increase the competitiveness in applying a PhD program within the University of Pittsburgh or other academic institutions.

Thesis Policies and Procedures