Bradley University

Computer and Information Sciences graduate Programs at Bradley University

Bradley University offers 0 Graduate degree program

1862 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
International Students 0
Female students 0

Tuition

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
course gre scholarship

Or QM 262: Quantitative Analysis I 3 hrs.

Computer Science

CS 390: Intro. To Software Engineering — 3.

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.

Data Science Concentration

CS 210: Adv. and Algorithms — 3.

CS 390: Intro. To Software Engineering — 3.

CS 480: Social and Professional Issues in Computing — 2.

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.

Scholarships and financial aid available for Computer and Information Sciences

Computer Science and Information Systems
course gre scholarship

CS 561 Artificial Intelligence(3 hours)Pattern recognition, search strategies, game playing, knowledge representation logic programming, uncertainty, vision, natural language processing, robotics, programming in LISP and PROLOG. Advanced topics in artificial intelligence. Cross-listed with CS 461. For cross-listed graduate courses, the graduate-level course will have additional academic requirements beyond those of the course. Prerequisite: Graduate standing in CS or CIS. Consent of instructor for all other students with graduate standing.

CS 562 Machine Learning(3 hours)Machine learning and intelligent systems. Covers the major approaches to ML and IS building, including the logical (logic programming and fuzzy logic, covering ML algorithms), the biological (neural networks and deep learning, genetic algorithms), and the statistical (regression, Bayesian and belief networks, Markov models, decision trees and clustering) approaches. Students use ML to discover the knowledge base and then build complete, integrated, hybrid intelligent systems for solving problems in a variety of applications. Cross listed with CS 462. For cross-listed graduate courses, the graduate-level course will have additional academic requirements beyond those of the course. Prerequisite: Graduate standing in CS or CIS. Consent of instructor for all other students with graduate standing.

CS 563 Knowledge Discovery and Data Mining(3 hours)Brings together the latest research in statistics, databases, machine learning, and artificial intelligence that are part of the rapidly growing field of knowledge discovery and data mining. Topics covered include fundamental issues, classification and clustering, machine learning algorithms, trend and deviation analysis, dependency modeling, integrated discovery systems, next generation database systems, data warehousing, and OLAP and application case studies. Cross-listed with CS 463. For cross-listed graduate courses, the graduate-level course will have additional academic requirements beyond those of the course. Prerequisite: Graduate standing in CS or CIS. Consent of instructor for all other students with graduate standing.

CS 572 Distributed Databases and Big Data(3 hours)Designing and building enterprise-wide data warehouses.

Computer and Information Sciences is projected to grow 12 percent from 2016 to 2026, faster than average for all occupations. Growth is expected due to the increasing use of integrated care. Median Pay for Computer and Information Sciences in 2016 was 135800$. The number of jobs were 352510.


Jobs, Salaries and Career after Masters in Computer and Information Sciences