Programs > On campus
The Accelerated Degree Completion Program (ADCP) is uniquely designed to match the energy and talents of individuals who have risen in their profession without having completed their bachelor’s degree.
The Boston University Metropolitan College Master of Science (MS) in Actuarial Science gives you the skills to become a successful actuary. You’ll gain a solid academic foundation through specialized courses in actuarial science, statistics, finance, and related fields. Concentrations include Insurance and Mathematical Finance.
The Master of Science in Administrative Studies (MSAS) is a multidisciplinary program designed to provide the opportunity for focused graduate study in one of three specialized, industry-specific areas of interest.
Tourism management studies in Boston prepare students to analyze and understand tourism market area strengths and weaknesses.
With innovation and technology management and new product development courses, Boston University Metropolitan College can help you achieve your career goals.
Advanced Information Technology Graduate Certificate at BU MET. Fast track your career with information technology certification. Also available online or in a blended format.
MS in Advertising is a part-time professional program offering convenient, evening courses that combine core advertising fundamentals with the latest interactive multimedia and web marketing techniques.
Available online and on campus, the Graduate Certificate in Applied Business Analytics provides comprehensive coverage of data analytics concepts, techniques, and state-of-the-art tools used in the process of data-driven business decision-making.
The Applied Business Analytics master’s degree provides students with comprehensive coverage of data analytics concepts, techniques, and state-of-the-art tools used in the process of data-driven business decision-making. BU MET’s Applied Business Analytics program is currently offered on campus and online.
The Applied Data Analytics master’s degree, online and on campus, combines knowledge of analytics tools with an understanding of data mining and machine learning approaches, enabling students to critically analyze real-world problems and understand the possibilities and limitations of analytics applications.