Students working on computers

More Data More Depth

The data analytics field is rapidly expanding, and skilled individuals are in high demand. Projections are that this demand will continue into 2030 and beyond. The May 2018 report by McKinsey Global Institute entitled Skill Shift Automation and the Future of the Workforce states that the top three areas with the largest skill shortages today are data analytics, IT/mobile/web design, and R&D. The report also concludes that, as the use of AI expands, the demand for individuals with advanced data analytical skills will grow—even as much as 25% by 2030.

Tufts new MS in Data Analytics program is designed to develop flexible leaders with advanced data analytical skills, who will be able to apply an in-depth knowledge of statistics, probability, and data analysis across a broad range of fields. Electives will allow students to expand their knowledge and skills within a chosen field, and to develop the professional skills in communication, data visualization and critical thinking that employers seek.

MS in Data Analytics

Data analytics is a fast-growing field and often the key to business strategy and the solution to complex questions. Data analysts are sought after in nearly every field. In fact, in a recent study IBM predicts that by 2020 demand for data professionals will increase by 364,000 job openings to 2,720,000. 

The interdisciplinary Master of Science in Data Analytics is guided by an advisory board of professionals in the field, who help ensure the program provides rigorous courses in the analytical skills that are sought after across the arts, humanities, and sciences as well as within the business community. 

The program is offered on both a full-time or part-time schedule for working professionals who are looking to build expertise in the field of data analytics. Most students complete the program in two years, but it can be completed in one year with accelerated study. 

Upon completion of the program, you will be able to demonstrate the following areas of knowledge: 

  • Define and solve complex data-based problems using appropriate statistical methodologies analyses
  • Select appropriate statistical and predictive methodologies with both sparse and large data sets
  • Provide appropriate theoretical interpretation of these results based on discipline-related concepts
  • Demonstrate written oral communications skills for conclusions drawn from the analyses of data
  • Create visual representations to increase understanding and utilization of complex data
  • Maintain collaborative team relationships to effectively contribute to a shared project
  • Have functional programming skills in data-related language

Certificate in Data Analytics

The Certificate in Data Analytics provides an avenue for individuals who wish to earn a credential in data analytics, but who may not yet be ready to commit to a full master’s program. As a student in the program, you’ll learn the skills needed to gather, interpret, and guide data-driven decisions.

Courses are offered in the evenings and online, making the program accessible to working professionals. Students complete this certificate program may decide to continue on and apply to the MS in Data Analytics. If accepted into the master’s program, the credits earned toward the completion of the certificate will automatically be counted toward the master’s program.