Information Systems for Data Science Track - PhD
- APPLICATION DEADLINE EXTENDED to Feb. 7th! - Due to applicant requests, we have extended the application deadline for the PhD program (Fall 2017 start).
- Learn more about the joint Information Systems for Data Science/ IGERT "Coasts & Communities" Fellowship program, for scholars with interdisciplinary interests related to coasts & communities.
Data science, the study of extracting knowledge from data, encompasses statistics, data analytics, and information systems. The field is growing rapidly, creating a need for professionals who can use insights derived from big data to make effective business decisions. Data analytics has become a critical need in industries ranging from health care and financial services to marketing and government. Leveraging the strengths of the College of Management’s faculty, the University of Massachusetts Boston is offering a cutting-edge and flexible doctoral program in this field.
As a newly instituted program, the PhD program at the MSIS department of UMass Boston started with a focus on information systems for data science. Positioned at the intersection of technology, business, and strategy, our program allows students to have a holistic view of data science and the role it plays in competition. Students will get exposed to a variety of state-of-art research streams in information systems and data science, with a relative focus on both data analytical techniques from a design science perspective and the application and management of data analytics in business settings from an organizational perspective. The program will offer students flexibility to investigate other topics they find interesting in data science and technology fields.
How will my learning experience impact organizations, society, and future global challenges?
Rapid increase in the amount of published data results in a data deluge that imposes significant challenges in data analytics. By offering a carefully tailored combination of courses in information technology, applied statistics, and business analytics, our PhD program provides rigorous and in-depth courses of study with emphasis on various research methodologies, tools for data analytics, and relevant academic skill sets involving research design, literature review, theoretical development, empirical validation, and academic writing. Our program also provides students with extensive knowledge in the various emerging research areas in information systems (IS) field through IS research seminars and research collaboration opportunities with faculty members.
Academic advisers will help students configure a program of study which includes a rigorous sequence of courses in a variety of research methodologies, theories, and topics. Students will develop theoretical and methodological competencies in a variety of topics in the field of information systems and data science. Students will develop teaching competences through the teaching seminar, GA assignments to support a professor, and independently deliver courses. In addition to course work, students will actively engage in research with faculty members.
What kinds of research are faculty engaged in now?
The PhD program involves close, apprentice-like working relationships with faculty members, and students are introduced early to the world of conferences and publishing. A sampling of faculty projects includes:
- CyberSecurity Analytics for Massive Communication Graphs
- Home Healthcare Management for Dually Diagnosed Individuals with Mental and Physical Health Problems
- Characterizing managers' decision making patterns under uncertain and competitive environment
- Business intelligence as an IT-enabled agile and competitive business platform
- Social Media, Big Data, and Innovation: An Investigation of the Software Industry in India
- Strategic use of cloud computing and data assets for sustainable competitive advantage
- Decision modeling applications to areas such as technology development, policy, resource management.
- Abysmal behavior in Online Social Networks
- The role of health IT in hospital acquisitions
- Social influence on Bayesian learning process in post-adoption stage
What are the career opportunities for me when I graduate?
There are two main career opportunities for the individuals graduated from this program. They can pursue a career in academia as a faculty member or join an organization as a data scientist. In the first case, they can educate other data scientists and conduct state of the art research to be published in peer-reviewed journals.
For the second, students can become data scientists who use the acquired knowledge to excel the effectiveness of data collection and analytics in their organization and improve its competitiveness in today’s economy.
Who should apply?
All students with master degrees who are interested in information technology and data analytics are welcome to apply. Students with degrees in quantitative fields such as statistics, economics, math, computer science, management sciences, information systems, and other related disciplines are particularly encouraged to apply. A master degree in these related fields is a plus, although not required. Previous full-time working experiences in related positions are also a plus.