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QS Rank:

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428

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University of Colorado at Denver

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Colorado

United States

The Master of Science in Computer Science program at the University of Colorado at Denver is meticulously designed to equip students with the advanced skills and knowledge necessary to thrive in today’s dynamic technological landscape. This program spans over a comprehensive duration of 24 months, combining rigorous academic training with practical application. Students delve into crucial subjects within the realm of computer science, gaining expertise in areas such as software engineering, artificial intelligence, database systems, and data analytics. With a focus on both theoretical foundations and practical implementations, this program prepares graduates to tackle real-world challenges effectively.

The curriculum is carefully structured to offer a blend of core and elective courses, allowing students to tailor their educational journey according to their interests and career aspirations. Core courses such as Data Structures and Algorithms, Computer Networks, and Software Engineering Principles lay the groundwork for advanced study, while electives like Machine Learning, Cybersecurity, and Web Development provide opportunities for specialization. The program also emphasizes hands-on learning through collaborative projects and labs, fostering a problem-solving mindset essential for the tech industry.

The faculty within the College of Engineering, Design and Computing at CU Denver is composed of experienced professionals and researchers who are leaders in their respective fields. Their diverse expertise ranges from artificial intelligence to systems architecture, ensuring students receive a well-rounded education that is both relevant and comprehensive. The teaching methodology employed here is student-centered, fostering engagement and interaction through innovative teaching practices, including project-based learning and collaborative workshops. This approach not only enhances knowledge retention but also encourages students to think critically and creatively.

Research opportunities abound within the program, providing students the chance to engage in cutting-edge projects that can shape the future of technology. The university is home to several renowned research centers, where students can collaborate with faculty on high-impact research initiatives in areas such as big data analytics, computer vision, and human-computer interaction. These research initiatives not only bolster students' resumes but also offer potential pathways to publication and presentations at national and international conferences.

Additionally, the university maintains strong industry connections, facilitating numerous internship possibilities for students. Collaborations with leading tech companies such as IBM, Amazon, and Apple open doors for students to gain valuable hands-on experience. Internships not only enhance students' practical skills but also provide insight into the industry and foster professional networking, which is crucial in today’s job market. The university's career services team is dedicated to assisting students in securing these opportunities, preparing them for successful transitions into the workforce.

Graduates of the Master of Science in Computer Science program have a myriad of career pathways available to them. They are well-prepared to assume roles such as Web Developer, AI Engineer, Data Scientist, Machine Learning Engineer, and IT Manager. The program's comprehensive curriculum and emphasis on practical experience ensure that graduates are not only knowledgeable but also highly employable. The average base salary for graduates stands at an impressive $86,000, showcasing the program's strong return on investment.

Alumni of the program have gone on to achieve remarkable success, often sharing their experiences and insights with current students. Testimonials highlight the strong foundation provided by the program and its role in fostering innovation and leadership. Graduates frequently express gratitude for the supportive network created during their time at CU Denver, which continues to benefit their professional journeys long after graduation.

In summary, the Master of Science in Computer Science at the University of Colorado at Denver offers an exceptional blend of rigorous academic training, practical experience, and strong industry ties. The program is ideal for individuals looking to advance their careers in technology and research while enjoying the vibrant culture and community of Denver.

Why Study Master of Science in Computer Science at University of Colorado at Denver:

  • Comprehensive Curriculum: Offers a balanced mix of core subjects and electives tailored towards current industry demands.
  • Experienced Faculty: Learn from dedicated professors and industry experts with extensive experience in their fields.
  • Research Opportunities: Access to cutting-edge research projects promoting innovation and practical applications.
  • Industry Connections: Strong partnerships with leading technology companies enhance internship and job placement opportunities.
  • Career-Focused Outcomes: High employment rate with competitive salaries reflecting the program's effectiveness in preparing graduates for the workforce.
  • Vibrant Community: Experience the dynamic culture and lifestyle of Denver, a thriving hub for technology and innovation.
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Total Tuition Fees

$45,720

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Duration

24 Months

Ranking

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#219

US World and News Report

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#428

QS World University Rankings

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Intake

Fall ( Sept - Nov )

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Intake

Spring ( Apr - June )

Class Profile

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Class Size

170

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Average Age

28

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Average Work Experience

3 Years

Diversity

New York:

5%

California:

20%

Illinois:

4%

Others:

16%

Texas:

10%

Colorado:

45%

Career Outcomes

Prospective Job Roles

Web Developer

AI Engineer

IT Manager

Web Designer

Data Scientist

Systems Engineer

Computer Scientist

Data analyst

Machine Learning Engineer

Software Engineer

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • TOEFL

    79

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  • IELTS

    6.5

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  • PTE

    58

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  • DUOLINGO

    105

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Standardised Test Score

  • GRE

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

    • intake

      Statement of Purpose

    • intake

      Resume

    • intake

      GRE

    • intake

      General LOR

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      General LOR

    Application Deadlines

    Standard Deadline
    FallApr 15, 2024
    SpringNov 1, 2023

    Fees and Funding

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    Tuition Fees

    $45,720 / year

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    Overall Cost

    $75,720 / year

    Funding Options

    Department Funding

    FAQs

    • The specific admissions requirements for the Master of Science in Computer Science program at the University of Colorado at Denver are not detailed in the provided course description. Prospective students are encouraged to visit the university’s official website or contact the admissions office directly for comprehensive information regarding prerequisites, application materials, and deadlines.

    • The Master of Science in Computer Science program is structured to span over a comprehensive duration of 24 months. It includes a blend of core courses and electives, allowing students to tailor their educational experience according to their interests and career aspirations. Core courses cover essential subjects such as Data Structures and Algorithms, Computer Networks, and Software Engineering Principles, while electives offer opportunities for specialization in areas like Machine Learning, Cybersecurity, and Web Development.

    • The teaching methodology in the Master of Science in Computer Science program is student-centered, promoting engagement and interaction. This includes innovative practices such as project-based learning and collaborative workshops, which enhance knowledge retention and encourage critical and creative thinking among students.

    • Key highlights of the program include:

      • Comprehensive Curriculum: A balanced mix of core subjects and electives tailored to current industry demands.
      • Experienced Faculty: Access to dedicated professors and industry experts with extensive knowledge in their fields.
      • Research Opportunities: Involvement in cutting-edge research projects that promote innovation.
      • Industry Connections: Strong partnerships with leading technology companies that enhance internship and job placement opportunities.
      • Career-Focused Outcomes: High employment rate and competitive salaries for graduates.
      • Vibrant Community: Experience the dynamic culture and lifestyle of Denver.
    • Graduates of the Master of Science in Computer Science program have numerous career pathways available to them. They are well-prepared for roles such as Web Developer, AI Engineer, Data Scientist, Machine Learning Engineer, and IT Manager. The program’s comprehensive curriculum and focus on practical experience ensure that graduates are knowledgeable and highly employable.

    • The average base salary for graduates of the Master of Science in Computer Science program at the University of Colorado at Denver stands at an impressive $86,000. This figure reflects the program’s strong return on investment and the high demand for skilled professionals in the tech industry.

    • Yes, the program offers numerous internship possibilities for students, facilitated by the university’s strong industry connections. Collaborations with leading tech companies such as IBM, Amazon, and Apple provide students with valuable hands-on experience, insights into the industry, and opportunities for professional networking. The university’s career services team is dedicated to assisting students in securing these internships.

    • The Master of Science in Computer Science program offers ample research opportunities for students. They can engage in cutting-edge projects at several renowned research centers within the university, collaborating with faculty on high-impact initiatives in areas such as big data analytics, computer vision, and human-computer interaction. These initiatives can lead to potential pathways for publication and presentations at national and international conferences.

    • Students can expect significant support from both the faculty and alumni network within the program. The faculty comprises experienced professionals and researchers who provide a well-rounded education. Additionally, alumni often share their experiences and insights with current students, fostering a supportive network that can benefit their professional journeys long after graduation.

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