QS Rank:

401

University of Dayton

Ohio
,United States

Program Name
Master of Science in Computer Science
Overview

Welcome to the Master of Science in Computer Science program at the University of Dayton, where innovation meets excellence in the heart of Ohio. As technology continues to evolve at an unprecedented pace, the demand for skilled professionals in computer science has never been greater. Our program is meticulously designed to equip you with a comprehensive understanding of the essential concepts and applications of computer science. Graduates of this program emerge as innovators ready to tackle the complex challenges of today’s digital landscape.
The MS in Computer Science at UD offers a deep dive into various foundational areas, including programming, algorithms, data structures, and operating systems. You will not only gain theoretical knowledge but also practical skills that are directly applicable to real-world scenarios. Our curriculum is continuously updated to reflect the latest advancements in technology, thereby ensuring that you are well-prepared to meet the industry's evolving demands. This master's program also provides the flexibility to specialize in various cutting-edge fields, such as artificial intelligence, machine learning, and cybersecurity.
One of the standout features of the MS in Computer Science program is the emphasis on research. Students are required to complete a research thesis, which allows for the application of learned concepts to real-world problems. This is an invaluable opportunity to work closely with our esteemed faculty members, who are not only educators but also passionate researchers. Our faculty members bring a wealth of experience and expertise, often collaborating with industry leaders on cutting-edge projects, thus providing students with insights into current trends and technologies.
Moreover, the program encourages active participation in various research initiatives and projects, further enriching your learning experience. Students have access to extensive resources, including state-of-the-art laboratories and computing facilities, to support their research endeavors. Our faculty’s commitment to mentorship ensures that each student receives personalized guidance throughout their academic journey, fostering both intellectual and professional growth.
In addition to the rigorous academic coursework and research experience, the MS in Computer Science program at UD prioritizes forging strong connections with the tech industry. The university has established partnerships with numerous companies, providing students with invaluable internship opportunities. These connections enhance your employability and allow you to build a professional network before you even graduate. The program is designed not just to educate but to prepare you for a successful career in tech upon completion.
Alumni of the program have gone on to achieve remarkable success in various sectors, including software development, data science, and cybersecurity. Many have secured positions with leading firms, while others have ventured into entrepreneurial endeavors, launching their tech startups. Their success stories serve as a testament to the program's efficacy and the strong foundation it provides for a thriving career.
Below are some of the key features that make the MS in Computer Science at the University of Dayton stand out:
- Comprehensive Curriculum: Our curriculum covers core computer science topics, ensuring a well-rounded education that prepares you for various roles in the tech industry.
- Research Opportunities: Engage in innovative research projects with esteemed faculty, contributing to advancements in the field while completing a thesis.
- Industry Connections: Benefit from partnerships with leading companies, providing you with internship opportunities and a pathway to future employment.
- Experienced Faculty: Learn from faculty members who are not only educators but also active researchers and industry professionals.
- Career Development: Access robust career services that assist you with job search strategies, resume building, and interview preparation, ensuring you're workforce-ready upon graduation.
- Strong Alumni Network: Join a community of successful alumni who offer mentorship and networking opportunities, significantly enhancing your career prospects.
To apply for the Master of Science in Computer Science program, certain prerequisites and requirements need to be met. Applicants should possess a bachelor's degree in computer science, mathematics, or a related field. Candidates are expected to demonstrate proficiency in programming and foundational computer science concepts. Additionally, international students must meet specific English language proficiency requirements. Accepted tests include IELTS with a minimum score of 6.5, PTE with a minimum score of 60, or TOEFL with a minimum score of 80.
In conclusion, the Master of Science in Computer Science program at the University of Dayton is structured to mold the next generation of tech leaders. With our rigorous curriculum, dedicated faculty, extensive research opportunities, and strong industry ties, you will be well-equipped to embark on a successful career in the technology sector. Join us at UD and take the first step towards a fulfilling and impactful career in computer science.

Duration
24 Months
Ranking
#127
US World and News Report
#801
The World University Rankings
#401
QS World University Rankings
Class Profile
Diversity
Black or African American:
12%Two or more races:
4%Hispanic or Latino:
10%Asian:
4%White:
69%Eligibility Criteria
English Proficiency Tests
IELTS
6.5
PTE
60
TOEFL
80
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.

Application Fee: 0
Application Deadlines
Fees and Funding

Tuition Fees
$15,825 / year
FAQs
To apply for the Master of Science in Computer Science program, applicants must meet the following requirements:
- Possess a bachelor's degree in computer science, mathematics, or a related field.
- Demonstrate proficiency in programming and foundational computer science concepts.
- International students must meet specific English language proficiency requirements, which can be satisfied by:
- IELTS with a minimum score of 6.5,
- PTE with a minimum score of 60, or
- TOEFL with a minimum score of 80.
The MS in Computer Science program at the University of Dayton is designed to provide a comprehensive understanding of essential computer science concepts and applications. The program includes:
- A rigorous curriculum covering foundational areas such as programming, algorithms, data structures, and operating systems.
- Opportunities for specialization in cutting-edge fields like artificial intelligence, machine learning, and cybersecurity.
- A research thesis requirement that allows students to apply learned concepts to real-world problems.
The teaching methods in the MS in Computer Science program emphasize both theoretical knowledge and practical skills. Key aspects include:
- Engagement in innovative research projects with esteemed faculty.
- Active participation in research initiatives, enhancing the learning experience.
- Access to state-of-the-art laboratories and computing facilities to support research endeavors.
This hands-on approach ensures that students are well-prepared for real-world challenges in the tech industry.
Graduates of the MS in Computer Science program have a wide range of career opportunities available to them. Alumni have successfully pursued careers in:
- Software development
- Data science
- Cybersecurity
Many have secured positions with leading firms or ventured into entrepreneurial endeavors, launching their own tech startups. The program's strong foundation equips graduates for a thriving career in the technology sector.
Several unique aspects make the MS in Computer Science program at the University of Dayton stand out:
- Research Opportunities: Students are required to complete a research thesis, allowing for the application of learned concepts to real-world problems.
- Industry Connections: The university has established partnerships with leading companies that provide students with internship opportunities, enhancing employability.
- Experienced Faculty: Faculty members are not only educators but also active researchers and industry professionals, offering valuable insights into current trends and technologies.
The MS in Computer Science program prioritizes career development through various resources:
- Access to robust career services that assist with job search strategies, resume building, and interview preparation.
- Building a professional network through established industry connections and partnerships.
- A strong alumni network that offers mentorship and networking opportunities to enhance career prospects.
These elements ensure that students are workforce-ready upon graduation.
Students in the MS in Computer Science program can expect:
- Personalized guidance and mentorship from faculty members committed to fostering intellectual and professional growth.
- Opportunities to engage in collaborative research projects with faculty who are passionate researchers and industry experts.
- A learning environment enriched by faculty members who bring a wealth of experience and expertise, often collaborating with industry leaders.
Students in the MS in Computer Science program have access to extensive resources that support their research efforts, including:
- State-of-the-art laboratories equipped with the latest technology.
- Computing facilities that provide the necessary tools for conducting research.
- Opportunities to participate in innovative research initiatives and projects, enhancing the overall learning experience.
The MS in Computer Science program at the University of Dayton aims to:
- Mold the next generation of tech leaders by providing a rigorous curriculum and extensive research opportunities.
- Prepare students for successful careers in the technology sector through strong industry connections and professional development support.
- Equip graduates with the skills and knowledge necessary to tackle the complex challenges of today’s digital landscape.
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