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MS in Computer Information Sciences

The Master of Science degree in Computer Information Sciences also provides the student with solid foundations of scientific and practical tools and methodologies to computation, its applications and emerging trends, in a variety of subdomains. The student explores approaches including computing systems architecture, mathematical and data structures techniques for modeling simulation of complex systems; cluster computing and collaborative software development, and efficient methods for organizing, exploring, visualizing, processing and analyzing very large data sets.

About The Programme

The 36-semester hour Master of Science degree in Computer Information Sciences provides a challenging opportunity of pursuing a versatile course of study reflecting the student's desire, background and future responsibilities. The program includes a variety of specialties that are covered in depth to probe the frontiers of scientific and engineering knowledge in the domain. A graduate of the program is able to integrate computational, interpersonal and team skills, to secure a professional employment or pursue a doctoral degree in the field.

A successful student of the program gains the skills like (vary according to the degree/concentration taken): Recognize the necessity for conducting theoretical and empirical analysis; Master at least one knowledge area or sub-area from the body of knowledge to at least the Bloom Synthesis level; Adapt to rapidly changing technology, advanced learning, and entrepreneurship qualities; Have strong scientific communication skills; Possess excellent teamwork skills; Adhere to the ethical standards and moral obligations as a condition of their membership in the profession; and, Employ concepts that promote local and global systems for quality of life.

Course Details

Core courses - 15 Credits

• CISC 520 Data Engineering and Mining (3 Credits)
• CISC 525 Big Data Architectures (3 Credits)
• CISC 530 Computing Systems Architecture (3 Credits)
• CISC 603 Theory of Computation (3 Credits)
• CISC 610 Data Structures and Algorithms (3 Credits)

Complete the following experiential courses - 6 Credits

• GRAD 695 Research Methodology and Writing (3 Credits)

• CISC 699 Applied Project in Computer Information Sciences (3 Credits)

or
• GRAD 699 Graduate Thesis (3 Credits)

Complete one of the following Concentrations:

Three Concentrations are offered:

• Scientific Computing (15 Credits)
• Software Engineering and Software Testing (15 Credits)
• Cyber Security (15 Credits)

TOTAL CREDITS - 36

Programme Highlights

University

Harrisburg University of Science & Technology

Total Fee