MS Computer Science

2 Years On Campus Masters Program

Dartmouth College

Program Overview

The Master of Science in Computer Science at Dartmouth College is designed for students who want to develop advanced expertise in computing while working within a highly collaborative research environment. The program combines rigorous coursework, cutting-edge research opportunities, and close faculty mentorship, preparing graduates for leadership roles in technology, innovation, research, and doctoral study.

Curriculum Structure

Year 1

Students begin by building a strong foundation across core areas of computer science through advanced graduate coursework. The curriculum emphasizes both theoretical and applied computing, allowing students to strengthen their understanding of algorithms, systems, software development, and computational problem-solving while developing the research skills expected of graduate-level computer scientists.

Students are encouraged to explore specialized research interests through courses and faculty-led projects in areas such as Artificial Intelligence, Machine Learning, Computer Vision, Cybersecurity, and Human-Centered Computing. These experiences help students connect theoretical knowledge with real-world applications and emerging technologies.

Year 2

As they advance through the program, students deepen their expertise through graduate electives and research-focused study. Areas of specialization may include Data Science, Computational Biology, Digital Security, Computer Graphics, Natural Language Processing, and Robotics, enabling students to tailor the degree to their career aspirations.

Students complete the program through advanced coursework and, where applicable, independent research experiences under faculty supervision. This culminating work allows students to investigate complex computing challenges, contribute to innovative projects, and develop professional-level technical expertise.

Focus Areas

Artificial Intelligence; Machine Learning; Computer Vision; Cybersecurity; Data Science; Computer Graphics; Robotics; Human-Centered Computing; Computational Biology; Natural Language Processing.

Learning Outcomes

Develop expertise in algorithmic problem-solving, software systems, computational theory, machine learning, data analysis, cybersecurity, research methodology, programming, systems design, and the application of advanced computing technologies to complex real-world challenges.

Professional Alignment (Accreditation)

The program prepares students for careers in software engineering, artificial intelligence, data science, cybersecurity, research and development, technology consulting, and advanced computing. Students benefit from close collaboration with faculty researchers and gain valuable experience through research-driven learning and interdisciplinary projects.

Reputation (Employability Rankings)

Dartmouth's Department of Computer Science is recognized for its strong research culture, low student-to-faculty ratio, and interdisciplinary approach to computing. Graduates benefit from access to Dartmouth's extensive alumni network, research opportunities across multiple disciplines, and strong recruitment connections with leading technology companies, startups, research laboratories, and doctoral programs worldwide.

Experiential Learning (Research, Projects, Internships etc.)

At Dartmouth College, the MS in Computer Science program emphasizes experiential learning, ensuring that students not only grasp theoretical concepts but also gain practical skills that are essential in today’s tech-driven world. The program is designed to provide hands-on experiences through various projects, internships, and access to state-of-the-art facilities. Students engage in collaborative group projects, utilize advanced software tools, and participate in research initiatives that prepare them for real-world challenges.

Here are some key aspects of experiential learning in the MS Computer Science program at Dartmouth:

- Research Labs: Students have access to specialized labs such as the Digital Arts Lab and the Institute for Security, Technology, and Society, where they can work on cutting-edge research projects.
- Collaborative Projects: The curriculum includes team-based projects that encourage collaboration and innovation, allowing students to tackle complex problems together.
- Internship Opportunities: Dartmouth’s strong connections with industry leaders provide students with internship opportunities at top tech companies, enhancing their practical experience and networking.
- Software and Tools: Students utilize a variety of software tools, including Python, Java, and R, as well as platforms for machine learning and data analysis, ensuring they are well-versed in the latest technologies.
- Field Trips and Workshops: The program often includes field trips to tech companies and workshops led by industry professionals, giving students insights into the latest trends and practices in the field.
- Libraries and Resources: The Dartmouth Library system offers extensive resources, including access to digital archives and databases that support research and learning.
- Entrepreneurial Support: The Magnuson Center for Entrepreneurship provides resources and mentorship for students interested in launching their own tech ventures.

Progression & Future Opportunities

Dartmouth College's MS in Computer Science program equips graduates with the skills and knowledge needed to excel in a rapidly evolving tech landscape. Alumni have successfully transitioned into roles such as Software Engineer, Data Scientist, and Systems Architect, showcasing the program's strong emphasis on practical application and innovation. The demand for skilled professionals in these areas continues to grow, making this an exciting time to pursue your degree:

- Career Services: Dartmouth offers robust career support, including personalized career coaching, resume workshops, and networking events with industry leaders.
- Employment Statistics: Over 90% of graduates secure employment within six months of graduation, with starting salaries averaging around $100,000.
- University–Industry Partnerships: Dartmouth has established partnerships with leading tech companies such as Google, Amazon, and IBM, providing students with internship opportunities and real-world project experience.
- Accreditation Value: The program is accredited by the Computing Accreditation Commission of ABET, ensuring that your degree meets high educational standards recognized by employers worldwide.
- Graduation Outcomes: Graduates have gone on to work at top-tier companies and have also pursued entrepreneurial ventures, reflecting the program's strong foundation in both technical and business skills.

Further Academic Progression: After completing the MS in Computer Science, you may choose to further your studies by pursuing a Ph.D. in Computer Science or a related field. This path can open doors to advanced research opportunities, teaching positions at universities, or high-level roles in industry research and development. Additionally, you might consider specialized certifications or professional development courses to enhance your expertise in emerging technologies.