Master of Science and Doctorate of Philosophy in Computer Science
The computer science program offers graduate programs of study which lead to the M.S. degree (thesis and non-thesis options), the Ph.D. degree.
For more information, check out the univeristy catalog:
Graduate Degree in Computer Science
Interested in furthering your education and knowledge of computer science? The computer science department offers a number of graduate certificates. Courses can be taken online, and are taught by experts in their chosen field. And if you decide to pursue a Master of Science in computer science, all of the computer science certificate courses you complete will count towards your degree.
Note: No course can be used to satisfy the requirements for more than one certificate.
Students will receive the skills necessary to use and develop big data management, big data analytics, data mining, cloud computing, and business intelligence, thanks to the expertise of our computer science faculty. As the size and availability of datasets increase, so too do the challenges in efficiently and effectively sharing, analyzing, and visualizing information. Proficiency in big data analytics requires knowledge in interdisciplinary areas including computer science, business information technology, mathematics and statistics, and electrical and computer engineering.
Students will receive the skills necessary to use and develop big data management, big data security, data mining, cloud computing, and business intelligence, thanks to the expertise of our computer science faculty. Significant data growth leads to challenges in efficiently and securely sharing, accessing, and analyzing big data. Proficiency in big data management and security requires knowledge in interdisciplinary areas including computer science, business information technology, mathematics and statistics, and electrical and computer engineering.
For students interested in continuing their education in the use and development of computational intelligence algorithms based on evolutionary computation, neural networks, fuzzy logic, and complex systems theory. Engineering students can also learn how to integrate common sense reasoning with computational intelligence elective courses such as data mining and knowledge discovery.
Protecting information systems is key to protecting the nation's critical infrastructures. Only through diligence and a well-trained workforce will we be able to adequately defend the nation's vital information resources. Cyber Security has one of the largest demands for an educated workforce within the federal, state, and industry domains. Forbes predicts one million Cyber Security job openings. This certificate meets a majority of the requirements for the National Initiative for Cyber Security Education (NICE) standards for the NSA-DHS Center of Academic Excellence program.
For students interested in continuing their education in advanced data management technologies. Cloud computing, object-oriented database structure, data mining, and mobile database systems form the core of the curriculum.
For students interested in continuing their education in wireless systems and applications. Program coverage includes network architecture and protocols, computer communication and networking basics, principles of network security, and techniques for preventing, detecting and recovering from attacks.
Students who do not have a strong computer science background need to satisfy Computer Science program deficiencies by either showing the syllabus of a course listed in your BS/MS transcripts to determine course equivalency and/or talk to the corresponding faculty (listed in the form) on how the deficiency can be satisfied.
Certain deficiencies can restrict the ability to register in certain courses, so it is strongly advisable to do this in the first year of your admission to the program.
The Deficiency Worksheet can be viewed by clicking the hyperlink. The deficiency form will be distributed when you arrive.
As a graduate student, you’ll do research alongside expert computer science faculty in the areas of distributed embedded systems, machine learning, data mining, and software engineering. Or you can choose the interdisciplinary route, doing research beside faculty in various engineering disciplines. In fact, Computer Science graduate students often work in large group settings with faculty from departments across campus, examining advanced research problems in bio-informatics, homeland security, embedded systems, and virtual reality. Cooperation between students and faculty at this advanced level is a hallmark of the computer science research program.
There are two options in the Master program (thesis option and non-thesis option). The non-thesis option requires coursework only, while the thesis option requires a thesis with your research advisor with less course work.
Both options are equally considered for admission without preference or priority. For the thesis option, procedure of how to secure an advisor and seek his or her confirmation is the same as that of PhD (see PhD requirements below). Master students may change the degree option at any time during the study.
The most important thing for PhD admission is to secure your tentative advisor, even before you formally apply (individual contact as stated below). View the department's faculty directory to review each faculty member's research areas and identify your potential PhD advisor. Contact the faculty member by email with your portfolio (CV, transcript, publication, etc.). If he or she is willing to serve as your PhD advisor, seek confirmation.
Once you have a confirmation, ask for a Recommendation Letter from your potential advisor and specify your potential advisor in your Statement of Purpose to be part of your application package. Please note that the confirmation to serve as your advisor does not mean you’ll be automatically offered a financial assistantship. You need to ask the advisor about the availability of assistantship (see the link to “Graduate Degree Funding”).
You may apply formally for PhD without this procedure of securing the advisor. We will circulate your application materials to faculty members to see if someone is interested in serving as your advisor. If you are applying for the PhD program without a MS degree (directly from BS) and without securing an advisor, we may still admit you as an MS to be able to convert to PhD within 2-3 semesters (all your credits are then counted toward PhD). During this period, you interact with faculty and demonstrate your aptitude for PhD.
At Missouri S&T we value our graduate students. In our commitment to your education, we've put together several funding opportunities to help make your degree an excellent return on investment. Take a look at what we have to offer.
There are three major mechanisms of assistantship for graduate students in ECE: Graduate Research Assistants (GRA), Graduate Teaching Assistants (GRA) and Fellowship. There are also Grader positions based on hourly rate wages. Students can be appointed as GRA or GTA by any rate up to 50% FTE (Full-Time Equivalent), which is the maximum part-time employment rate for students (100% represents the full-time job). Monthly wage for 50% FTE is approximately $2,000, which is proportional to the % FTE (e.g. $400 for 10% FTE). Student’s out-of-tuition is waived if the student is offered at least a 25% FTE or higher.
This assistantship is to support students by contributing to faculty members’ research. If a GRA is offered, the out-of-state tuition is waived (if higher than 25% FTE) and the monthly wage is provided according to % FTE. Students may contact individual faculty members with materials (CVs, publication, etc.) preferably before application to demonstrate their qualification and competency in the interested research areas. The faculty member may offer a GRA position with admission if the student is qualified and funding is available. Or it may be offered anytime with continued interactions with faculty members during study in the ECE program.
GTAs are normally required to teach undergraduate-level laboratory courses. If a GTA is offered, the out-of-state tuition is waived (if higher than 25% FTE) and the monthly wage is provided according to % FTE. The department appoints GTAs every semester. Students apply for the GTA positions several months earlier before the start of class to teach, pass the communication test (non-native speakers only) and are selected by the department. Therefore, new incoming students are typically not eligible for the GTA position during the first semester.
This mechanism provides students with biweekly wages based on hourly rates (no tuition waived). Graders are normally required to grade assignments from undergraduate-level courses. Students may contact individual faculty members who teach the course to be appointed as Grader several months earlier before the start of class. Typically new incoming international students are not eligible for the Grader position (US citizens or permanent residents are eligible) during the first semester.
Check out some graduate student resources here.