Curriculum

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BU Online MS in Data Science Curriculum SequenceBoston University’s online Master of Data Science program provides a strong foundation in data science and includes the academic and industry-relevant rigor you need to meet the demands of employers in a fast-evolving field.

The program includes 30 credit hours of coursework spread across 11 modules, which can be completed in as little as 16 months. Students will participate in practical hands-on projects that utilize cloud-based programming environments. Coursework also includes access to data sets to ensure workforce relevance and to help you advance in your career. Mini projects and an integrated capstone give graduates a portfolio of projects that can be shared with your professional network and employers.

View the PDF: BU Online MS in Data Science Curriculum Sequence.

Curriculum FAQs

What is the format of the courses offered in the data science curriculum?

The program consists of 30 credit hours spread across 11 modules, which can be completed in as little as 16 months. It is 100% online, designed for working professionals, and includes weekly live sessions. View common program questions or contact our admissions team today for details.

What are the prerequisites for these courses?

While specific prerequisites may vary, applicants typically need a bachelor’s degree in a related field (such as computer science, engineering, or mathematics). Some foundational knowledge in statistics, programming, mathematics, and familiarity with common data visualization tools, are beneficial. Review the application requirements and frequently asked questions today, or contact our admissions team for more information about our online data analytics courses.

What course topics will I study in this data science curriculum?

Courses in this comprehensive program cover a wide variety of essential topics relevant to today’s top careers in artificial intelligence and data science.  Students will focus on data mining, data engineering, statistical analysis, advanced analytics, predictive modeling, data-driven research, and business processes that are critical to this dynamic field. If your goal is to become a data analyst, this master’s program is designed for you.

What is the application process?

To apply, submit transcripts, a CV or resume, proof of English proficiency, a personal statement, and any optional requirements (such as GRE/GMAT scores, etc.).

The application deadlines for Fall 2024 enrollment are: 

  • Priority Application Deadline: July 1, 2024
  • Final Application Deadline: August 1, 2024

Application deadlines for Spring 2025 enrollment are:

  • Priority Application Deadline: October 1, 2024
  • Final Application Deadline: November 15, 2024

Are you ready to learn how to analyze data and work at the highest levels in this exciting, growing field? Start your application or request more information today!