Advance Your Career in the Rapidly Developing Data Analytics Industry
Earn your master’s degree from a leading research university
The growing role of big data is creating high demand for data scientists and analysts. The shortfall of data scientists, however, could approach 250,000 in the US* within the next decade. Now is the time to capitalize on this growing opportunity and advance in your career. Become job-ready with a Master of Science in Applied Data Analytics from Boston University—one of the world’s leading research and teaching institutions.
Top Reasons to Consider BU’s Applied Data Analytics Program
- Convenient part-time study options, evenings on campus or 100% online
- Complete in as few as 16–24 months
- Small, online, facilitator-led mentoring groups (facilitator/student ratio 1:15)
- Merit scholarship opportunities available to help finance your degree
- No GRE/GMAT required
Be Indispensable in the Developing Industry of Data Analytics
The Applied Data Analytics graduate degree program is ideal if you have a computer science or engineering background, or relevant industry experience, and you are seeking to develop analytics aptitude in order to prepare for increasingly complex interactions with data in any discipline. You will gain in-depth understanding of data analysis using Python and R, and the concepts and techniques for machine learning, data mining, and statistical analysis methods and tools used to generate relevant visual presentations of data. As a graduate of MET’s Applied Data Analytics program, you will be able to demonstrate the ability to create powerful predictions through modeling and machine learning, and drive critical business decisions.
Harness the Power of Data and Tell Its Story
Our ability to collect, mine, and utilize massive amounts of data continues to transform every aspect of our lives. With applications within every major industry—including healthcare, tech, finance, communication, entertainment, energy, transportation, government, and manufacturing, to name a few—the skill to create advanced techniques to harness the power of data, and tell its story, is critical. In addition to being an in-demand position, “data scientist” has topped the list of Glassdoor’s 25 Best Jobs in America from 2016 through 2019. BU MET’s Applied Data Analytics Master’s Degree program is far more career-centric than traditional data analytics graduate programs with extensive exposure to database systems, data mining tools, data visualization tools, and cloud services.
The MS In Applied Data Analytics: Part of Our Portfolio of Analytics-Focused Academic Programs
BU’s Metropolitan College (MET) has more than thirty years of experience in computer science & IT graduate professional education, offered in flexible evening, online, and blended formats. Our CS faculty has years of hands-on expertise in high-tech and business industries. And because MET is focused on practical, insightful, and adaptable knowledge, the tools and skills you learn at MET today can be immediately applied on the job while remaining relevant, useful, and valuable to your career growth for years to come. Enrolling in MET’s MS In Applied Data Analytics program gives you the added opportunity to expand your connections with students and professionals around the world.
MET’s Department of Computer Science is dedicated to the evolving needs of the technology industry with cutting-edge programs like these:
- Master of Science in Computer Information Systems, Concentration in Data Analytics (on campus and online)
- Master of Science in Computer Science, Concentration in Data Analytics (on campus)
- Master of Science in Health Informatics, Concentration in Applied Data Analytics (on campus and online)
- Graduate Certificate in Data Analytics (on campus and online)
Interested in learning to leverage analytics to achieve business outcomes? MET also offers a Master of Science and Graduate Certificate in Applied Business Analytics through the Department of Administrative Sciences. Visit our Applied Business Analytics page for more information.
* Source: McKinsey Global Institute, “What’s now and next in analytics, AI, and automation.