MS in Computer Science with Specialization in Data-Centric Computing

1 Years On Campus Masters Program

Boston University

Program Overview

The MS in Computer Science with Specialization in Data-Centric Computing at Boston University is designed for students who want to develop advanced expertise in data science, machine learning, and large-scale computing systems. The program combines theoretical computer science foundations with specialized coursework in databases, data mining, algorithms, and software development, preparing graduates to extract meaningful insights from complex datasets and solve real-world challenges.

Curriculum Structure

Core Computer Science Coursework: Students complete eight graduate-level courses (32 units), covering software, systems, and theoretical foundations. Recommended courses include GRS CS 611 for software and GRS CS 630 for theory, alongside approved systems courses such as CAS CS 551, CAS CS 561, and GRS CS 654.

Data-Centric Computing Specialization: Students deepen their expertise through at least two specialization courses selected from options such as CAS CS 506, CAS CS 542, CAS CS 543, CAS CS 565, and GRS CS 660. Remaining coursework can include approved graduate-level electives from Computer Science, Mathematics and Statistics, the College of Engineering, or the Questrom School of Business.

Note: The university does not prescribe a fixed year-by-year course sequence for this specialization.

Focus Areas

Machine Learning, Database Systems, Data Mining, Algorithms, Data Science, Large-Scale Computing Systems, Software Development, Data-Centric Computing.

Learning Outcomes

Graduates develop advanced knowledge of computer science across theory, software, systems, and applications. They learn to analyze large datasets, extract meaningful insights, apply effective data-processing techniques, and develop computing systems and software for data-driven problem-solving.

Professional Alignment (Accreditation)

The program emphasizes industry-relevant computer science knowledge and technical expertise through specialized coursework in machine learning, databases, algorithms, and data mining. Boston University does not specify a separate professional accreditation for this particular specialization on its official program page.

Reputation (Employability Rankings)

Boston University provides career opportunities through its global alumni network and industry connections. According to the university's February 2026 report, 296 computer science master's alumni secured positions across 222 companies between 2015 and 2025, including Amazon, Google, Meta, Microsoft, NVIDIA, and IBM. The university also reports that 95% of its recent graduates found employment or entered further education, fellowships, or military service within six months of graduation.

Experiential Learning (Research, Projects, Internships etc.)

At Boston University, the MS in Computer Science with a specialization in Data Centric Computing offers students a unique opportunity to gain practical skills that are essential in today’s data-driven world. The program emphasizes hands-on learning through various projects, internships, and access to state-of-the-art facilities. Students engage in real-world applications of their knowledge, preparing them for successful careers in the tech industry.

Here are some key experiential learning opportunities and resources available to you:

- Data Science and Machine Learning Labs: Access specialized labs equipped with the latest technology for data analysis, machine learning, and big data processing.
- Collaborative Projects: Work on group projects that simulate real-world challenges, allowing you to collaborate with peers and faculty on innovative solutions.
- Internship Opportunities: Benefit from strong industry connections that facilitate internships with leading tech companies, providing invaluable work experience and networking opportunities.
- Research Opportunities: Participate in cutting-edge research projects under the guidance of faculty members who are experts in data-centric computing.
- Workshops and Seminars: Attend workshops and seminars led by industry professionals, enhancing your learning experience and keeping you updated on the latest trends and technologies.
- Access to Libraries and Digital Resources: Utilize extensive library resources and digital tools that support your research and learning, including databases and software relevant to data science.
- Field Trips: Engage in field trips to tech companies and research institutions, giving you insights into the industry and potential career paths.

Progression & Future Opportunities

Pursuing an MS in Computer Science with a specialization in Data Centric Computing at Boston University opens up a world of opportunities. Graduates from this program are well-prepared for high-demand roles in the tech industry, such as Data Scientist, Data Engineer, Machine Learning Engineer, and Business Intelligence Analyst. The skills and knowledge gained here will position you for success in a rapidly evolving field:

- University Services: Boston University offers robust career services, including personalized career coaching, resume workshops, and networking events with industry leaders. The BU Career Center also hosts job fairs specifically for tech students, connecting you directly with potential employers.

- Employment Stats and Salary Figures: According to recent data, over 90% of graduates from the College of Arts & Sciences find employment within six months of graduation, with starting salaries averaging around $100,000 annually for roles in data-centric fields.

- University–Industry Partnerships: Boston University has established partnerships with leading tech companies such as Google, Microsoft, and IBM, providing students with internship opportunities and real-world projects that enhance learning and employability.

- Long-term Accreditation Value: The program is accredited by the Computing Accreditation Commission of ABET, ensuring that your degree meets the highest standards of quality and relevance in the field.

- Graduation Outcomes: Alumni from this program have gone on to work at prestigious organizations, contributing to innovative projects and advancing their careers in various sectors, including finance, healthcare, and technology.

Further Academic Progression: After completing your MS in Computer Science, you may choose to further your studies by pursuing a PhD in Computer Science or a related field. This path can lead to advanced research opportunities, teaching positions at universities, or high-level roles in industry research and development. Additionally, you could explore certifications in specialized areas such as artificial intelligence, machine learning, or big data analytics to enhance your expertise and career prospects.