The MS in Information Systems & Technology with a concentration in Data Science & Analytics explores the ways massive volumes of data can be used to enhance human performance and solve business and societal problems.
The Internet, social media, and mobile technology have led to an explosion of information production and gathering. From public health to energy policy, financial markets to voting rights, big data promises to revolutionize how we understand the world. Yet the full potential of big data has not been completely imagined or understood.
This technically driven, industry-oriented program explores this potential, equipping you with enhanced analytical and managerial tools to become a leader in this burgeoning technological field. You will learn data mining, specialized programming, and other computational skills to understand how data can be used to solve problems affecting society, working with distinguished faculty who have impressive careers as IS&T scholars and practitioners.
Program Highlights
Well-equipped research clinics and laboratories enable you to work directly on applied and academic research, including the Data Science Lab, IDEA Lab, Intelligent Systems Lab, and more.
Our GIS Club convenes students and professionals interested in geographic information systems (GIS) and informs the local community about the latest GIS workshops and conferences.
This program is STEM designated, allowing international students who hold F-1 visas to apply for OPT work authorizations for a total of 36 months (an initial 1-year period and a 24-month OPT STEM extension) of paid work experience in the U.S. after graduation.
Program At a Glance
UNITS
36 units
ESTIMATED COMPLETION TIME*
Full-time: 1–1.5 years
Part-time: 1.5–3 years
*Actual completion times will vary and may be higher, depending on full- or part-time course registration, units transferred, and time to complete other degree requirements.
COURSES BEGIN
Fall | Spring
DEGREE AWARDED
MS in Information Systems & Technology
Featured Courses
IST 344
Data Analytics & Information Visualization
Provides a deep understanding of the important principles and techniques for translating organizational data into visual stories that can be used by managers to make data-driven decisions.
IST 340
Knowledge Discovery and Data Mining
Studies the data mining process goal of discovering nontrivial, interesting, and actionable knowledge from data in databases.
IST 341
CS Insights via Python Programming
Engages with the full breadth of CS fundamentals, including computational thinking, software design strategies, the technologies underlying modern computation (circuits and assembly language), and both theoretical models and limits of computing.
IST 343
Data Mining Practicum
Provides an opportunity for students to design, develop, and implement data mining for an industry- or organization-defined problem.
TNDY 405I
Data Analytical Tools, Technologies & Applications Across the Disciplines
Focuses on using big data tools and technologies effectively across various disciplines and settings, social sciences, humanities, information systems, policy, and health care.
IST 302
Databases
Introduces concepts and techniques for database design and management emphasizing the relational model, query optimization and performance tuning, and more.
Partnerships
The Center for Information Systems and Technology (CISAT) at CGU participates in industry and academic partnerships designed to create internships, collaborations, practicum courses, and other opportunities. These include:
Esri
Claremont Graduate University’s comprehensive partnership with Esri, the world’s leading supplier of geographic information system (GIS) software, offers numerous benefits, including:
Scholarships for Esri employees
The Esri Development Center enables CGU students and faculty to teach and develop state-of-the-art applications in the university’s Advanced GIS Lab
GIS training and student recognition through an Esri-sponsored annual achievement award
Microsoft Developer Network Academic Alliance
CISAT is also a Microsoft Developer Network Academic Alliance Member, which gives our students and researchers access to the latest technologies for use in classroom assignments and projects.
IBM Watson Analytics Academic Program
To ensure students work with leading data analytics technologies, CISAT is part of the Watson Analytics Academic Program (WAP), which provides no-cost use of IBM® Watson Analytics software for classroom teaching and research.
Faculty & Research
Samir Chatterjee
Fletcher Jones Chair of Technology Design & Management
Research Interests
Design science research, Health informatics, Electronics and telecommunication engineering
Associate Professor of Information Systems & Technology
Research Interests
Data science, Machine Learning, Natural Language Processing, Health Informatics, Mobile Health, Data Management, Data warehousing, Business intelligence, ICT4D
