Best Computer and Information Sciences Masters Programs in Colorado

The MS in computer science can help you prepare for a successful career in academia or in research and development for industry. It can provide a pathway to PhD study, as well as potential opportunities to fund your degree through teaching and research assistantships.

To earn your degree, you will complete 24 credit hours of coursework, including a professional development course and at least nine hours of classes that will expose you to the breadth of current computer science research. Depending on which option you choose, you will then complete six hours of either thesis or independent study credit.

Fulfill other MS degree requirements as stated by the department.

Daniel Felix Ritchie School ofEngineering Computer Science.

Graduate Programs: Computer Science Masters Programs .

Our traditional graduate programs in engineering and computer science focus on advanced, cutting-edge research. We proudly highlight projects with the potential to contribute to the common good, whether localized to our Denver community or on a global scale.

For those interested in taking their career to the next level, the Ritchie School offers master programs in data science, cybersecurity, and systems engineering with courses that offer flexibility for professionals. View on our Graduate Professional Programs.

It was really an opportunity to be creative in a design aspect and also learn a lot. It seemed to me like there was no downside to continuing on for a PhD.

Steven Conyers, PhD Candidate, Electrical Computer Engineering.

Many degrees are specialized to prepare you to enter the job market as a highly qualified applicant or work as an educator in your field.

A doctoral degree is the highest achievable graduate degree, preparing students to work in the upper echelons of their field as either practitioners or educators. Many doctoral candidates complete a dissertation, thesis or project based off original research, defending their work in front of a committee of experts. Others take rigorous coursework that prepares them for professional practice and licensure.

Daniel Felix Ritchie School of Engineering and Computer Science.

The Master of Science in bioengineering program couples engineering with biomedical science to help prepare students for work in bioscience research and development. Students explore a variety of medical treatments and devices, including biomechanical smart devices and wearable technologies. Our curriculum also includes advanced engineering mathematics, reliability and optimization courses.

Coupling in-class learning with clinical practice, students may find opportunities to work in either the Center for Orthopaedic Biomechanics or the Knoebel Institute for Healthy Aging. Program graduates can pursue opportunities with bioscience companies in the private sector or work to apply their knowledge and expertise toward further graduate studies, as well as nonprofit and academic research.

Computer and Information Sciences combines cross-disciplinary course work in engineering and life sciences. It will train students to carry out independent research in fields related to human health and well-being. Students will be trained to combine engineering principles with sciences to further our understanding of health-related problems and to design and create novel methods, devices, and software to bring innovative solutions to these problems.

The master of science in computer engineering challenges students who want to improve the world around them through continuous technological advancement. Graduate students expand on their computer architecture foundation by advancing their math and science skills and improving their ability to articulate why their work matters. Courses cover program design, troubleshooting, hardware design systems testing and .

Students have the opportunity to work within Colorado computer and electrical engineering fields while taking specialized, flexible courses that don't conflict with regular business hours. Program graduates work as computer software engineers, computer hardware engineers and systems engineers spanning several industries, corporations and countries.

Our PhD program in computer science prepares students to lead within computer science and related fields at the highest technical and academic levels. Students take part in advanced, original research, sharpen their skills at modern software engineering, study cutting-edge technology and tools, and focus their efforts on a specialization of their choice. We support specializations in artificial intelligence, computational geometry, humane games, graphics, networks, parallel and distributed algorithms, security and privacy, and software systems engineering.

In addition to specialization, courses on web technology, multimedia, networks, databases, data science, cybersecurity and computer game development ensure your education has ample breadth as well. You'll leave DU well equipped to professionally pursue your field of specialization, assume leadership roles in corporations or organizations, or contribute at the highest levels of academia.

Our Master of Science in computer science program gives students the chance to develop essential skills for both academic and industrial applications. Participants will gain a wide breadth of advanced knowledge in the design, programming and application of modern computer technology. They also will establish a deeper understanding of the discipline fundamentals and explore their own particular areas of interest in the field.

Graduates of the program often pursue careers based on their chosen specialization, but the strong and varied knowledge base they develop throughout can make them attractive to a wide range of employers. The master also serves as an excellent foundation for students who wish to continue into a PhD program.

The Cybersecurity MS program at DU blends cybersecurity and computer science education to give you a solid technical foundation with essential skills. We offer three introductory courses for those entering from other fields. What sets us apart is our tool-agnostic approach, focusing on technical skills and foundational knowledge. This approach not only prepares you for any cybersecurity job as the industry evolves but also opens a world of possibilities for your learning journey.

Sharpen your skills in data modeling, analytics and decision-making to help shape the future of any business or organization. This program will show you transform raw data into compelling insights and master the art of narrating impactful storylines to propel organizational strategy to new heights.

Students in this program are advised and supported to develop the ability to contribute to the advancement of science, engineering and technology through independent research. Research requires an in-depth study of engineering problems with a broad knowledge base in science and engineering. Opportunities to develop individualized plans of study based on students' previous experience and desired research areas are also provided. Graduates may pursue academic, research, entrepreneurial and or industrial careers.

Graduates utilize their degree to find careers in energy, transportation, aerospace, manufacturing, IT, finance and logistics, to name a few.

The Master of Science in electrical engineering offers students the opportunity to enhance their understanding of specialized electrical systems such as search and rescue robotics, sustainable energy and power systems, unmanned vehicle systems and social emotive robots. Students can work alongside professionals in Colorado electrical engineering industry to enhance their skills in analysis and design of engineering systems.

Program graduates have gone on to spearhead technological advancements across the public and private sectors in aerospace, utilities, transportation, military and manufacturing, to name just a few. Others have utilized their degrees to find jobs in management, IT, finance, logistics or technical publishing.

Our PhD in Engineering helps students develop the ability to contribute to modern scientific discourse through independent research. We encourage students to work toward their own career goals with a multi-disciplinary approach to engineering, developing plans of study from courses on mechanical engineering, electrical engineering, computer engineering, computer science, nanoscale science and engineering, materials science and bioengineering.

The flexible, personalized focus of the program ensures students can develop the skills needed for a variety of careers in engineering. In addition, the city of Denver provides a first-rate environment for engineering expertise, with the Colorado Front Range consistently rated as one of the top high-tech areas in the country and the Denver Tech Center located just minutes from DU.

The Master of Science in engineering provides individualized advancement for students with an established foundation in engineering and a passion for innovation. Our interdisciplinary approach invites bachelor degree holders in computer science, mathematics, natural science and engineering to specify their area of focus based on personal interests. Students will enhance their core skills while expanding the breadth of their subject matter knowledge with flexible elective requirements and an optional concentration in management.

Program graduates have gone on to become leaders in various engineering fields with top-rated companies in both the public and private sector. Career opportunities span a variety of fields, including software development, construction project management and product engineering.

Systems Engineering is a multidisciplinary degree that fuses engineering knowledge, project management, and best practices in integrated engineering approaches through three professional certificates. The certificates focus on the fundamentals of systems engineering, systems design and architecture, and systems analytics to provide a well-rounded and in-depth exploration of the specialty and strengthen leadership skills.

This certificate showcases the fundamentals needed for engineering professionals across numerous industries. Though examining collaborative practices like needs assessment, risk analysis, and test planning, students learn partner with stakeholders and execute key tasks.

In a world that consistently depends on scientific innovation to drive new technologies and services, it is impossible to ignore the necessity of new materials and fabrication techniques. Our Master of Science in materials science delivers an interdisciplinary background in the behavior and construction of materials rooted in engineering, chemistry and physics. Students develop a deep understanding of specializations within the field, with coursework branching into such topics as composites and nanomaterials.

With your master in hand, you'll be prepared to tackle research and development in a variety of engineering fields. You'll also be well-positioned to begin a PhD-level course of study if a career in academia is your goal.

Our PhD in materials science provides an enhanced foundation in the theory of materials construction and a depth of understanding in the research strategies necessary to develop new materials. Through a diverse academic approach integrating physics, mathematics, chemistry, and electrical and computer engineering, students will explore advanced concepts in the materials field complemented by extensive research experience.

Upon completion of the doctoral program, candidates will be prepared to enter the materials science field in various roles, from research and development to instruction at the university level.

Students in the Master of Science in mechanical engineering program pursue advanced study of design, construction and technology. Our program is customizable, with a technical elective requirement that offers students the opportunity to study topics including, but not limited to, fluid mechanics and heat transfer, mechanical design and analysis, and bioengineering.

Computer and Information Sciences is designed to prepare students for academic and industrial advancement. Mechanical engineering graduates enter the workforce with the expertise to build and use a variety of technologies, from aerospace systems to industrial equipment.

Graduate-level coursework provides students with expertise in biomechanics, biofluids and composites.

The PhD in mechanical engineering program focus is independent, academic research. Students work to complete a dissertation based on original research. After leaving DU, graduates may go on to pursue job opportunities in academia, research or in the private sector.

As our modern world leans and heavily on advancements in computer and mechanical technology, the demand for skilled mechatronic systems professionals has never been higher. The PhD program in mechatronics systems engineering provides students with rigorous training with an eye toward research and development. Students will delve into the theory and creation of sensors, transducers and a wealth of other concepts.

You will emerge with an advanced understanding of how mechanical, electrical and computer systems integrate to create solutions for today most cutting-edge technological developments. Students who achieve the PhD will be well-equipped to pursue careers in corporate or government research as well as instruction at the university level.

Students in the Master of Science in mechatronic systems engineering program study, research and practice across the fields of electrical, mechanical and computer engineering. This cross-disciplinary major is customizable with specialization areas and thematic course sequences to align with your specific areas of interest and career goals.

With curricula geared toward today grand challenges, graduates of the mechatronic systems engineering program will find that they will enter a workforce where their skills are in demand. Graduates can pursue careers as multidisciplinary engineers or go on to work in electrical, computer or mechanical engineering. From developing service robots to aid children with special needs, to inventing unmanned vehicle systems to monitor traffic congestion, there are many ways for mechatronic systems engineers to apply their knowledge in the public and private sectors.

This certificate focuses on practical exposure to the analytical and digital tools necessary within systems engineering, such as applying a working knowledge of probability, statistics and data science. Learn to cleanse complex data sets, visualize patterns in the data and describe characteristics of data sets to extract system performance insights.

This certificate emphasizes support for proposals after contract awards. It explores the design and architectural aspects of systems engineering through case studies across numerous industries and collaborate with others using those aspects.

Expand your career opportunities with an MS in Systems Engineering. Our flexible, online master degree program consists of three stackable certificates that can be completed in less than two years. Balance your studies with your personal and professional commitments from anywhere in the world with our entirely online, synchronous program.

the graduate admission application to information.

Teaching and research areas in artificial intelligence, software engineering, networks and security, high performance computing, distributed systems, bioinformatics, computer vision, big data, and human-computer interaction.

Western Regional Graduate Program exchange.

Your department may have financial aid options available and please check our financial resource section for additional opportunities.

The Department of Computer Science at the University of Colorado Colorado Springs offers a Master of Science degree in Computer Science. Graduate students are encouraged to participate in the professional activities of the department. This includes attending seminars and colloquiums, suggesting improvements in the curriculum (both undergraduate and graduate), suggesting new teaching techniques, and participating in the enhancement of computer hardware and software facilities within the department.

Full-time graduate students should be able to complete the M.S. degree in computer science in two to two and a half years. Two courses per semester is considered full-time at the graduate level. Most graduate courses are offered in the late afternoon and evening in order to provide graduate study opportunities for working professionals. All work toward the M.S. degree must be completed within a six-year time limit. If the degree program cannot be completed within this time period, then the student must request an extension from the Graduate School and validate any coursework more than six years old, possibly by special examination.

Specifically designed for computer science professionals, consultants, and academics, the online Doctorate in Computer Science program offers a core degree and concentrations in Big Data Analytics and Cybersecurity and Information Assurance.

An opportunity to complete the program in three years.

At CTU, working-adult students come first. Our flexible online course schedule helps you to build a class schedule around your schedule. And with grants and scholarships available for those who qualify, a degree from CTU can be both achievable and affordable.

Total tuition for this degree program will vary depending on your educational needs, existing experience, and other factors.

Effective February 2019, this program is no longer available for future enrollments at the Denver South campus.

The Doctor of Computer Science is a 100-credit-hour terminal degree in computer science. The program includes 40 credit hours of core management courses, 20 credit hours for elective courses, 4 credit hours of symposium-related courses, and 36 credit hours of doctoral research. The research element will culminate in a dissertation.

The Doctor of Computer Science program is a terminal degree for computer science professionals, consultants, and academics. The program encourages students to think and act strategically and demonstrate the ability to make positive contributions in their chosen area of technical expertise.

Computer and Information Sciences does not lead to additional licensure or certification. As such, CTU has made no determination regarding prerequisites for licensure or certification in any state or jurisdiction.

This course provides an and introduction to the breadth of research in the disciplines of computer science and information systems. As such, its content will evolve over time and is expected to cover research developments at the leading edge of these disciplines.

Current Topics in Computer Science and Information Systems.

This course provides a general understanding of both quantitative and qualitative methods within the context of research designs. Research design is the plan for the selection and application of accepted research practices. Research methods provide models for the appropriate collection, organization and analysis of data for decision-making, replication, and contribution to a knowledge base. abilities to demonstrate an understanding of the research purpose, nature and forms of research design and their relationship to research questions, methods for data collection and data analyses.

This course examines the fundamental principles of qualitative inquiry differentiating among various qualitative research designs. Includes active engagement and practice with capturing qualitative data including being a participant observer and an interviewer. Students will learn minimize threats to the internal validity of qualitative studies, focusing on specific techniques for interpretation of data that contributes to the authenticity of qualitative studies.

Students will learn fundamental concepts of designing, collecting and assessing quantitative data. The course covers descriptive measures as well as various forms of probability and inferential analysis. Exploration of multivariate statistics will be practiced via large datasets using statistical analysis software.

RES863 is the third course of eight research and writing courses that result in a dissertation. Each term, the student progresses toward the completion of the dissertation by completing required elements of the dissertation process.

RES864 is the fourth course of eight research and writing courses that result in a dissertation. Each term, the student progresses toward the completion of the dissertation by completing required elements of the dissertation process. Students may surpass this description as they are able.

RES865 is the fifth course of eight research and writing courses that result in a dissertation. Each term, the student progresses toward the completion of the dissertation by completing required elements of the dissertation process. This course requires the student to focus on: producing a defense-ready draft of Chapters 1, 2 3 (the research proposal), undertaking the Proposal Defense, undertaking modifications required by the dissertation committee, achieving an approved IRB application.

RES866 is the sixth course of eight research and writing courses that result in a dissertation. Each term, the student progresses toward the completion of the dissertation by completing required elements of the dissertation process. This course requires the student to focus on: undertaking the Proposal Defense, undertaking modifications required by the dissertation committee, achieving an approved IRB application, proceeding with Data Collection and Analysis.

RES867 is the seventh course of eight research and writing courses that result in a dissertation. Each term, the student progresses toward the completion of the dissertation by completing required elements of the dissertation process. This course requires the student to focus on: proceeding with Data Collection and Analysis, working on initial drafting of chapters 4 5, and preparing for Final Defense. Course is pass fail.

RES868 is the eighth course of eight research and writing courses that result in a dissertation. Each term, the student progresses toward the completion of the dissertation by completing required elements of the dissertation process. This course requires the student to focus on: completing Data Collection and Analysis as needed, completing work on chapters 4 5, undertaking the Final Defense, modifying document as required by the committee, editing of final document for publishing, and University sign off. Course is pass fail.

Doctoral Research I: Principles of Research and Writing.

This is the first of the research and writing courses that together comprise the dissertation process. Each term, the student advances on the dissertation pathway by completing required components of the dissertation. The focus of this course is on the development of the research prospectus, which is the first official milestone in the dissertation process. Satisfactory completion of the research prospectus is required to move forward to the next step on the dissertation pathway. Students are also encouraged to begin work on next steps in the dissertation process as appropriate.

As part of developing the literature review, the course also addresses creation of the conceptual framework and consideration of the research tradition appropriate for the proposed topic. To pass this course the student must produce a literature review draft satisfactory for movement forward to the next course in the dissertation process sequence. Students are also encouraged to begin work on next steps in the dissertation process as appropriate.

Select ten 4-credit courses from 800-level CS or EM or EIS courses.

Doctoral Symposium I provides first-year doctoral students with activities designed to develop foundational skills for doctoral study and an orientation to the doctoral dissertation process. Students participate in both the Doctoral Symposium and online classroom activities in the second term of their first year of study. Course work is designed to help students prepare to progress through the next year of the doctoral program. Successful completion of all specified activities and requirements of the Doctoral Symposium and assigned deliverables are required to pass this course.

Doctoral Symposium II provides second or third year doctoral students with activities that help them prepare for completion of the dissertation. Students participate in both the Doctoral Symposium and online course work. The course is designed to prepare students to attend Symposium and to progress to completion of the dissertation. Successful completion of all specified activities and requirements of the Doctoral Symposium and assigned deliverables are required to pass this course.

Electives: DCS students must complete ten 4-credit courses for these electives. These courses may be selected from any of those offered under DCS. Up to two of those electives may be chosen from the Doctor of Management program instead.

Doctor of Computer Science Big Data Analytics.

Doctor of Computer Science Cybersecurity and Information Assurance.

The DCS program is designed to provide candidates with theoretical, research, and application capabilities in the field.

The program provides a focus on computer science and information systems topics and an orientation to research and writing at the doctoral level. Coursework covers current topics in the disciplines as well as research methods and qualitative techniques.

While most of the focus is on developing a richer understanding of the discipline, the research courses include quantitative methods and the dissertation process.

The program includes the two remaining concentration courses plus the final six doctoral research courses that are designed to help students to complete the research and dissertation.

Doctoral programs at Colorado Technical University require a residential symposium.

Cost of this degree may be reduced based on one or of the following:.

Program details are provided lower on the page.

Start dates may vary by program and location.

Coursework may cover current topics in the disciplines as well as various types of research methods.

As you work to complete your DCS, you will be immersed in courses where you will study these topics and much : the breadth of research in the disciplines of computer science and information systems formal methods of innovation and diffusion of innovation and designing, collecting, and assessing quantitative data.

Courses for the Doctor of Computer Science degree program start online approximately every ten weeks. Completion of the CTU admissions process will depend on how quickly you complete the steps in the CTU online application process.

This DCS degree program consists of 100 credits. You may be eligible for transfer credit, which is evaluated on an individual basis. Not all credits are eligible to transfer.

As you study topics in computer science that are always being evaluated and updated to reflect industry-relevant trends, you will experience a curriculum through classroom learning and hands-on experience that aligns to industry standards and helps you work to develop skills that are applicable to the needs of the digital economy.

Cheryl C., Former Student2021 Graduate, Doctor of Computer Science.

Guy P., Former Student2021 Graduate, Doctor of Computer Science.