Computer and Information Sciences graduate Programs at Bradley University
Bradley University offers 2 Graduate degree programs
|421 students have been enrolled Bradley University in graduate programs|
Composition of students population for Computer and Information Sciences
|Masters degree in Computer and Information Sciences awarded to 0 students|
|Computer and Information Sciences Graduate program Tuition for in state students||$15,660|
|Out of State Average Full Time Tuition for Computer and Information Sciences Graduate Program||$15,660|
Admission and GRE for admission to Bradley University Master’s program in Computer and Information Sciences
Computer Science Information Systems
Or QM 262: Quantitative Analysis I 3 hrs.
Computer Science Information Systems
The master’s degree in computer science is a -hour program that enhances your skills for a career in network, database or intelligent systems administration, software engineering, programming and other related fields.
The CS master’s degree sharpens your skills in concepts related to artificial intelligence, computer architecture, modern operating systems, software engineering and programming languages. You choose one or two concentrations from nine areas: software, web and computer security game technology computing management emerging topics in CIS intelligent systems, databases and data mining mobile computing software engineering web technologies and systems and theoretical computer science. As graduate student, you your analytical, technical and managerial skills to advanced design and development projects with potential professional implications.
Recent graduates are working at places such as Capital One Financial Services, Hewlett-Packard Co., IBM, Illinois Mutual Life Insurance and IT Ideology.
CS 520: Advanced Computer Architecture 3 hrs.or CS 625: Operating Systems Design 3 hrs.
CS 590: Fundamentals of Software Engineering 3 hrs.or CS 591: Software Project Management 3 hrs.
Concentration in Theoretical Computer Science
The graduate concentration in theoretical computer science prepares you to pursue a doctorate in computer science.
The theoretical computer science concentration, available for both computer science and computer information systems degrees, strengthens your understanding of computer science theory. Courses cover algorithms and methods of programming languages.
Theoretical computer science concentrations are valuable for further graduate study and careers in system software development, cloud computing architecture design, next generation wireless communication, cyber security, cyber-physical systems and the internet of things.
Scholarships and financial aid available for Computer and Information Sciences
Computer Science and Information Systems
CS 100 Introduction to Programming Concepts and Languages(3 hours)Gen. Ed. FSCore Curr. QRAn introduction to programming concepts and languages for non-Computer Science (CS) majors. Topics include the structure and design of algorithms, variables, constants, data types, arithmetic operations, selection and repetition structures, functions, input output, arrays, structures, files, libraries. Students will design, write, test and run computer programs using a modern programming language as the development tool. Prerequisite: MTH 109 or higher.
CS 101 Introduction to Programming(4 hours)Gen. Ed. FSCore Curr. QRIntroduces the fundamental concepts of programming from an object-oriented perspective. Topics include simple data types, control structures (if-else loops, switch statements), introduction to array and string data structures, algorithms, debugging and testing techniques, and social implications of computing. The course emphasizes good software engineering principles and practices, breaking the programming process into analysis, design, implementation, and testing, with primary focus on implementation and development of fundamental programming skills. Prerequisite: MTH 109 or higher.
CS 102 Data Structures(3 hours)Introduction to concepts of object-oriented programming with review of control structures and data types and array processing. Introduction to the object-oriented programming paradigm, focusing on the definition and use of classes along with the fundamentals of object-oriented design. of programming principles, simple analysis of algorithms, searching and sorting techniques, and an introduction to software engineering issues. Prerequisite: A grade of C or better in CS 101.
CS 140 Advanced Programming Concepts and Languages(3 hours)Advanced programming concepts and languages appropriate to computer science and computer information systems. Topics include dynamic memory management, garbage collection, advanced object-oriented concepts, generic programming, exception handling, recursion, overloading. Prerequisite: CS 102.
CS 210 Advanced Data Structures and Algorithms(3 hours)Advanced topics in object-oriented programming with an emphasis on advanced data structures, algorithms, and software development. Prerequisite: grade of C or better in both CS 102 and CS 140 or equivalents MTH 120 or equivalent.
Computer and Information Sciences is projected to grow 12 percent from 2016 to 2026, faster than average for all occupations Median pay for Computer and Information Sciences in 2018 was 135800$. The number of jobs were 352510.