Graduate Curriculum

The mission of the Department of Computer Science and Engineering is to develop the human and intellectual resources needed to meet the future technological challenges in the field of computing.

The degree of Master of Computer Science (MCS) is a non-thesis degree, designed to complement the Master of Science in Computer Science thesis degree. The MCS should be thought of as a professional degree. This degree does not include a thesis, project, or final examination.

This program is also approved for delivery via asynchronous or synchronous distance education technology.

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The Master of Engineering (MEng) in Computer Engineering should be thought of as a professional, terminal degree. This degree does not include a thesis, project, or final examination. The degree covers the engineering of hardware/software systems based on knowledge of both electrical engineering and computer science using projects and coursework.

This program is also approved for delivery via asynchronous distance education technology.

Learn More about the MEng in Computer Engineering

Artificial Intelligence is currently enjoying a fast-paced growth worldwide. AI’s growing importance is reshaping industries by automating tasks, enhancing decision-making and revolutionizing data analysis. Nationally and within the State of Texas, the need for AI proficiency is urgent. AI expertise is increasingly vital across almost all fields, including government security, business intelligence, transportation and warehousing, finance, insurance, healthcare and industrial production. Industries such as healthcare, finance, transportation, energy and manufacturing seek professionals who can navigate AI complexities and apply them effectively.

The program’s integration of cutting-edge research and industry best practices nurtures critical thinking and problem-solving abilities. The MS-ARIN program bridges academia and the job market by providing specialized AI training. AI’s intricacies require focused education to harness its potential effectively. This program prepares students to apply and innovate AI solutions for real-world challenges. By producing a cohort of AI experts, the program contributes to AI advancement, propelling graduates and the region to the forefront of this technological revolution. Upon completing the MS-ARIN degree, graduates will possess skills applicable across a broad range of job sectors and industries.

This program is also approved for delivery via asynchronous distance education technology.

Learn More about the MS in Artificial Intelligence

The Master of Science (MS) in Computer Engineering is a research degree. A thesis and final examination (thesis defense) are required. Students who complete the MS in Computer Engineering may file a letter of intent requesting admission to the Doctor of Philosophy (PhD) program.

Learn More about the MS in Computer Engineering

The Master of Science (MS) in Computer Science is a research degree. A thesis and final examination (thesis defense) are required. Students who complete the MS in Computer Science may file a letter of intent requesting admission to the Doctor of Philosophy (PhD) program.

Learn More about the MS in Computer Science

This program provides a rigorous curriculum that combines theoretical foundations with hands-on experience in areas such as computer security, network security, cryptography, ethical hacking, risk management, incident response and secure software development. Students will gain expertise in recognizing vulnerabilities, protecting critical assets and implementing cybersecurity solutions in diverse settings.

Through the Master of Science in Cybersecurity, graduate students in the Department of Computer Science and Engineering will specialize in cybersecurity. The program will require 30 hours of coursework. It will include courses focused on cybersecurity fundamentals and practice, as well as computer science elective courses. It is expected that students in this program will take approximately 2 years to complete the degree.

This program is also approved for delivery via asynchronous or synchronous distance education technology.

Learn More about the MS in Cybersecurity

Work leading to the degree of Doctor of Philosophy (PhD) in Computer Engineering is designed to give degree candidates a thorough and comprehensive knowledge of their professional field and training in methods of research.

The final basis for granting the degree shall be the candidates’ grasp of the subject matter of a broad field of study and a demonstrated ability to do independent research. In addition, candidates must have acquired the ability to express thoughts clearly and forcefully in both oral and written languages. The degree is not granted solely for the completion of coursework, residence and technical requirements, although these must be met.

Learn More about the PhD in Computer Engineering

Work leading to the degree of Doctor of Philosophy (PhD) in Computer Science is designed to give candidates a thorough and comprehensive knowledge of their professional field and training in methods of research.

The final basis for granting the degree shall be the candidates’ grasp of the subject matter of a broad field of study and a demonstrated ability to do independent research. In addition, the candidate must have acquired the ability to express thoughts clearly and forcefully in both oral and written communication. The degree is not granted solely for the completion of coursework, residence and technical requirements, although these must be met.

Learn More about the PhD in Computer Science

The certificate in Artificial Intelligence and Machine Learning is designed for professionals (engineers, analysts and researchers across many disciplines) to deliver an introduction to techniques, methodologies and tools in the area of Artificial Intelligence and Machine Learning.

This graduate-level certificate in Artificial Intelligence and Machine Learning will prepare new and experienced professionals to understand the capabilities of modern Artificial Intelligence methodologies and Machine Learning approaches and to effectively apply them in their respective fields of operation. Individuals who complete the program will be able to analyze statistical analysis and machine learning techniques. They will be able to synthesize, use and assess appropriate artificial intelligence models to solve real-world problems. They will be able to use and assess state-of-the-art artificial intelligence and machine learning tools and will be able to correctly interpret their findings.

The certificate in Artificial Intelligence and Machine Learning provides a flexible curriculum with focus on an algorithmic and foundational aspects with the possibility to integrate application aspects, such as robotics, natural language processing, pattern matching and others. Courses will be offered by distance learning to provide a flexible schedule for working professionals. Interactive course work, such as collaborative project work in courses, interactions with classmates and instructors on zoom, chat rooms and discussion boards, will complement traditional learning modules with opportunities to interact with other students and provide networking and cohort opportunities.

This program is approved for delivery via asynchronous and synchronous distance education technology.

Learn More about the Certificate in Artificial Intelligence and Machine Learning

The certificate in Cyber Operations was created for students who have a deeply technical education with a particular emphasis on technologies and techniques related to specialized cyber operations (e.g., collection, exploitation and response), critical to intelligence, military and law enforcement organizations authorized to perform these specialized operations. This curriculum supports Texas A&M’s designation as a Center of Academic Excellence in Cyber Operations by the National Security Agency.

Learn More about the Certificate in Cyber Operations

A student holding a Bachelor of Science degree in engineering or a qualified senior during the last semester may apply for admission to graduate studies to work toward the non-thesis degree of Master of Engineering (MEng), majoring in their particular field of engineering. The work in the major field will include one or two written reports (not necessarily involving results of research conducted by the candidate). Students choose one of seven focus areas within the department, including:

• Analog and Mixed Signal
• Biomedical Imaging, Sensing and Genomic Signal Processing
• Device Science and Nanotechnology
• Energy and Power
• Electromagnetics and Microwaves
• Information Science and Systems
• Computer Engineering Systems

Graduates of the Computer Engineering program will be well prepared to enter higher education, private or public industry, and much more.

Learn More about the MEng in Computer Engineering

This degree allows students to choose one of seven focus areas within the department to work toward the non-thesis degree of Master of Engineering (MEng).

A student holding a Bachelor of Science degree in engineering or a qualified senior during the last semester may apply for admission to graduate studies to work toward the non-thesis degree of Master of Engineering (MEng), majoring in their particular field of engineering. The work in the major field will include one or two written reports (not necessarily involving results of research conducted by the candidate). Students choose one of seven focus areas within the department, including:

• Analog and Mixed Signal
• Biomedical Imaging, Sensing and Genomic Signal Processing
• Device Science and Nanotechnology
• Energy and Power
• Electromagnetics and Microwaves
• Information Science and Systems
• Computer Engineering Systems

This program is also approved for delivery via asynchronous distance education technology.

Learn More about the MEng in Electrical Engineering

The Master of Science degree in Computer Engineering is well-suited for students interested in gaining advanced knowledge in computer engineering topics related to their specific area of interest.

The Master of Science degree is available as both thesis and non-thesis. Those pursuing the thesis option participate in cutting-edge research and will be well-prepared for research and development careers in industry or pursuing a doctoral degree.

This program is also approved for delivery via asynchronous or synchronous distance education technology.

Learn More about the MS in Computer Engineering

The Master of Science in Electrical Engineering degree is well-suited for students interested in gaining advanced knowledge in electrical engineering topics related to their specific area of interest.

The Master of Science degree is available as both thesis and non-thesis. Those pursuing the thesis option participate in cutting-edge research and will be well-prepared for research and development careers in industry or pursuing a doctoral degree. Students choose one of seven focus areas within the department, including:

• Analog and Mixed Signals
• Biomedical Imaging, Sensing and Genomic Signal Processing
• Device Science and Nanotechnology
• Energy and Power
• Electromagnetics and Microwaves
• Information Science and Systems
• Computer Engineering Systems

This program is also approved for delivery via asynchronous distance education technology.

Learn More about the MS in Electrical Engineering

Work leading to the degree of Doctor of Philosophy (PhD) in Computer Engineering is designed to give degree candidates a thorough and comprehensive knowledge of their professional field and training in methods of research.

The final basis for granting the degree shall be the candidates’ grasp of the subject matter of a broad field of study and a demonstrated ability to do independent research. In addition, the candidate must have acquired the ability to express thoughts clearly and forcefully in both oral and written languages. The degree is not granted solely for the completion of coursework, residence and technical requirements, although these must be met.

Students choose research from one of the Computer Engineering focus areas, including:

• Computer Architecture
• Cyber Physical Systems
• Data Science
• Electronic Design Automation
• Hardware Security
• Networks
• VLSI Circuits and Systems

This program is also approved for delivery via asynchronous or synchronous distance education technology.

Learn More about the PhD in Computer Engineering

Work leading to the degree of Doctor of Philosophy (PhD) is designed to give the candidate a thorough and comprehensive knowledge of his or her professional field and training in methods of research.

The final basis for granting the degree shall be the candidates’ grasp of the subject matter of a broad field of study and a demonstrated ability to do independent research. In addition, the candidate must have acquired the ability to express thoughts clearly and forcefully in both oral and written languages. The degree is not granted solely for the completion of coursework, residence and technical requirements, although these must be met.

Students choose one of seven focus areas within the department, including

• Analog and Mixed Signal
• Biomedical Imaging, Sensing and Genomic Signal Processing
• Device Science and Nanotechnology
• Energy and Power
• Electromagnetics and Microwaves
• Information Science and Systems
• Computer Engineering Systems

This program is also approved for delivery via asynchronous or synchronous distance education technology.

Learn More about the PhD in Electrical Engineering

The graduate certificate in Homeland Security at the Bush School of Government and Public Service consists of instruction surveying the dimensions of homeland security and national defense, from the traditional concepts of public safety to the emerging concepts of counterterrorism and cybersecurity.

Learn More about the Certificate in Homeland Security

The Graduate Certificate in Cybersecurity Management provides an opportunity for student growth in the field of cybersecurity.

The focus of the program is at the intersection of the business and technical aspects related to cybersecurity. Students will gain a broad technical knowledge of cybersecurity as well as an understanding of the alignment with and support of key business objectives. Students will understand the challenges of computer network security while ensuring the confidentiality, integrity, and availability of data. Further, they will be able to integrate policy, best practices, and strategies to address a broad range of challenges and threats, while balancing the development of a security environment that is usable, yet secure.

The courses included in the certificate are not offered every semester. Students should allow multiple semesters to complete all of the certificate requirements. Non-business students will need assistance registering for courses within Mays Business School. To request enrollment in one of these certificate courses, non-business students should submit a waitlist request. Note in the comments area of the request that the certificate is being pursued.

The certificate is open to any degree-seeking graduate student at Texas A&M University.

Learn More about the Certificate in Cybersecurity Management

The certificate in Risk Management and Compliance is designed for risk management professionals (including compliance officers, risk specialists, fraud/anti-money laundering analysts and asset forfeiture managers) to deliver specialized legal training for compliance and incidence response and an in-depth understanding of the industry’s changing complex legal aspects.

This the graduate-level certificate in Risk Management and Compliance will prepare new and experienced risk management professionals to effectively address complex legal and policy challenges in the risk management industry. Specifically, participants will be exposed to (i) important federal and state laws, regulations and policies in the risk management industry; and (ii) advances in theory and practice, as well as applications of law, regulation and policies through case studies through a module-based structure.

Individuals who complete the program will be able to synthesize scenarios, practice and legal regulation in the risk management industry, providing analysis or judgments for consideration to organizational leadership with a nuanced perspective.

The certificate in Risk Management and Compliance provides an industry-responsive curriculum with a focus on legal risk management as it applies to policies, business and economic factors. Courses are offered by asynchronous distance learning to provide a flexible schedule for working professionals. Interactive coursework includes case study assignments and regular interaction with classmates through Zoom meetings, videos, audio casts, chat rooms, discussion boards and group breakout sessions.

This program is approved for delivery via asynchronous distance education technology.

Learn More about the Certificate in Risk Management and Compliance

The Master of Legal Studies (MLG) program is designed for graduate students and professionals who are interested in acquiring legal skills and competencies to enhance their career opportunities but do not intend to practice law.

The MLG degree provides non-lawyers with a solid understanding of relevant legal issues, and will prepare students to interact most effectively with lawyers and the legal system.

Students enrolled in the program pursue a non-thesis MLG degree. Students may be enrolled on either a full-time or part-time basis. MLG students may complete 30 credit hours in one of the following areas of curricular specialization. MLG students also have the option to complete a 30-credit personalized course of study.

Specialization

MLG students in the Cyber Security Law and Management; Dispute Resolution – Law, Policy, and Problem Solving; Education Law and Policy; Energy – Oil and Gas Law and Policy; Energy – Environmental and Energy Law and Policy; Health Law, Policy and Management; Human Resources and Employment Law and Management; Indigenous Peoples Law and Policy; and Real Estate and Construction Law and Policy curricula must take a core set of courses designed to familiarize students with the fundamentals of legal institutions and legal reasoning and analysis, including Contract Law and Strategies, Principles of Regulatory Law, Fundamentals of Business Law, Legal Writing and Analysis, and Dispute Resolution or ADR Doing Deals and Resolving Disputes Through Negotiation, Mediation and Arbitration. For the remaining coursework, students select from various course offerings in the student’s chosen area of curricular specialization. All courses in these curricula are offered asynchronously or synchronously via distance technology. Students may also participate in up to three courses that offer in-person instruction at the School of Law in Fort Worth, Texas.

Learn More about the Master of Legal Studies