Computer hardware and software are vital components of diverse systems.
Advances in data collection and analysis and ever-increasing computational power and availability mean that computers are being used in to solve problems in countless new ways.
The rigorous application of computing to solve problems in another science, or virtually any domain, requires foundational and advanced knowledge in both computer science and the application domain.
Program Overview
The Michigan Tech Master of Applied Computer Science prepares students to apply computing within their chosen application domain. Graduates of the program will identify and apply principles in computer science to develop a rigorous solution to a problem in their application domain.
The program is designed for students who are completing a BS degree in a field outside of computer science and who wish to add computing credentials to their BS degree. Other students may also benefit by completing the MS in Applied Computer Science. Please consult with the program director or your advisor.
Degree Options
The MS in Applied Computer Science requires 30 hours of coursework, which can be completed on campus in three to four semesters. Students complete the degree program through a Coursework or a Report option.
Admissions Requirements
Before admission, students must demonstrate a basic understanding of computer science in each of the four categories below. Students with a B.S. in Computer Science, a B.S. in Computer Engineering, a B.S. in Software Engineering, or who have completed Michigan Tech's minor in computer science are expected to meet this requirement.
Programming Knowledge
Students must know a high-level language and be able to use it as a problem-solving tool, including design, coding, documentation, debugging, and testing of programs. Required knowledge includes data abstraction, list, stack, queue, and tree data structures, complexity-based algorithm and data structure choices, and recursion. Completion of CS 1131 Accelerated Introduction to Programming or CS 1142 Programming at the Hardware Software Interface meets this requirement.
Data Structures
Students must know fundamental concepts in data structures, including abstract data types (priority queues, dictionaries, and graphs) and their implementations (algorithm analysis, sorting, and text processing). Completion of CS 2321 Discrete Structures meets this requirement.
Discrete Mathematics
Students must know fundamental concepts in discrete structures that are used in computer science, including sets, trees, graphs, functions, relations, recurrences, proof techniques, logic, combinatorics, and probability. Completion of CS 2311 Discrete Mathematics meets this requirement.
Basic Calculus and Linear Algebra
Students are expected to know single-variable calculus and its application, and linear algebra concepts such as systems of equations, vectors, matrices, orthogonality, subspaces, and the eigenvalue problem. Completion of MA1160/MA1161 Calculus I and MA2330 Introduction to Linear Algebra meet this requirement.
A student who partially meets or does not meet each of the requirements may receive provisional admission. Your admission letter will identify the courses that must be successfully completed to provide the required background.

