IU South Bend’s Master of Science in Applied Mathematics and Computer Science (AMCS) degree allows students to pursue a focus area in
- computer science,
- data science,
- applied mathematics,
- or integrated
IU South Bend’s Master of Science in Applied Mathematics and Computer Science (AMCS) degree allows students to pursue a focus area in
This graduate degree is designed to meet the needs of those who
are already working in the technical or quantitative fields
have a bachelor’s degree in computer science, informatics, mathematical sciences, business, STEM, and other disciplines
are planning to pursue a Ph.D. program or career in the industry or academia
are interested in increasing their skills in computer science or applied mathematics
This advanced degree prepares students to meet the complex computer and/or mathematical challenges they will face in the information age. Once admitted
Students earn the degree by completing 30 credit hours of graduate coursework.
24 credits of coursework + 6 credits of thesis; or 27 credits of coursework + 3 credits of project; or 30 credits of coursework + an exit exam
Students choose a focus area (applied mathematics, computer science, data science, or integrated).
Participate in small graduate classes to allow extensive interaction with professors and fellow graduate students.
Attend graduate classes that often meet during weekday evening hours to accommodate the schedules of employed adult students.
Computer Science focus area students could apply for scholarships.
Learn from computer science faculty with diverse research interests including algorithms, software engineering, computer graphics, databases, computer networks, parallel processing, distributed computing, artificial intelligence, computer security, bioinformatics, computer vision, machine learning, quantum computing, and wireless networks.
Learn from mathematical sciences faculty with diverse research interests including differential topology, differential equations, dynamical systems, modeling, operations research, simulations, scientific computing, statistics, and group theory.
Access to the department's dedicated laboratories running Windows, Linux, and MacOS.
Access to IU's specialized research computing infrastructure including IU's Big Red II supercomputer, mass storage, as well as visualization systems.