Gain the skills and experience required to enter one of the nation's fastest growing industries with an online bachelor's in computer science from SNHU. Through experiential and applied lessons, you'll have the opportunity to:
Online computer science degree students will work to solve real-world problems in courses that emphasize the design and development of computer software. Key courses include: Software Development Lifecycle, Advanced Programming Languages, and Object Oriented Analysis & Design.
SNHU's online BS in Computer Science program sets you up for the real world's demands. Our hands-on approach gives you experience that can make your resume shine and your skill set stand out.
Upon completion of the BS in Computer Science, you'll be able to:
As a private, nonprofit university, SNHU has one mission - to help you see yourself succeed. The benefits of earning your online computer science degrees at SNHU include:
Our online computer science degree positions you for roles like applications and software developers and computer systems analysts. Jobs in this field typically demand a bachelor's degree - and there's oftentimes a shortage across industries. According to the U.S. Bureau of Labor Statistics, software developer jobs are expected to grow much faster than average, 24% through 2026.* Computer systems analysts made $87,220 in 2016 and the field is expected to grow by 9% through 2026.*
The curriculum for our computer science degree online emphasizes the design and development of computer software, providing you with the necessary math, science and engineering skills you’ll need for career success. Students must complete core courses (CS-200, IT-201, IT-145, PHY-101 and 101L, DAD-220 and MAT-225) before enrolling in program courses.
New students are eligible to take a free math assessment that, depending on their score, can earn them up to six math credits toward their degree, saving time and money. Learn more today.
This course introduces the role of computer software in a variety of industries. Principles of hardware, software, computation, and algorithm development are introduced. Students learn the fundamentals of basic programming concepts, including data types, variables, control structures, logical expressions, and arrays.
Structured Query Language (SQL) is at the heart of many data systems. In this course, students learn the basics of SQL programming as it relates to data management,data manipulation, and data analysis.
This course provides the hardware/software technology background for information technology personnel. Hardware topics include CPU architecture, memory, registers, addressing modes, busses, instruction sets and a variety of input/output devices. Software topics include operating system modules, process management, memory and file system management. Also included are basic network components and multi-user operating systems.
This course is an introduction to the design, implementation, and understanding of computer programs. The course emphasizes programming as a problem-solving technique in business and engineering applications. Students will write computer code in a logical, structured, and organized manner. The course also covers the key concepts of object orientation, including inheritance, encapsulation, polymorphism and communication with messages. Other topics include classes and objects, base classes and class hierarchies, abstract and concrete classes. Students will learn to write, review and document interactive applications and working with Software Development Kits and Integrated Development Environment tools. This is a programming course and lab intense.
Calculus is the mathematical study of change that has widespread applications in science, engineering, economics and business. This course provides a rigorous introduction to single-variable calculus. Topics include limits, continuity, differentiation and integration of algebraic, trigonometric, exponential, and logarithmic functions, applications of derivatives, and integration, including the Fundamental Theorem of Calculus. This course will encourage students to think beyond memorizing formulas and to work towards understanding concepts.
Principles of Physics is an algebra based course that explores the major topics in physics, such as motion and forces, gravity and projectiles, energy and work, thermodynamics, vibrations and waves, electricity and magnetism, solids and fluids, light and optics, and atomic and nuclear physics.
This course will use laboratory techniques to study the fundamental principles of physics. Topics such as motion and forces, gravity and projectiles, and energy and work will be covered along with other topics important to physics.
Effective methodologies and models are necessary for developing high quality software. In this course, students learn how to identify and apply appropriate software development lifecycle models and methodologies. All phases of activity within the lifecycle, including analysis, design, development, and testing, are explored with an emphasis on the roles of the contributors within each phase. Software development methodologies are examined with a focus on the application of agile processes.
Learn about data structures and algorithms used for analyzing large volumes of data. Focus on common data structure operations, including searches and sorts.
Learn how to collaborate on a software project. Apply appropriate change control and versioning practices. Use technologies for supporting collaboration on a project in a distributed workforce with remote contributors.
Learn about software engineering testing strategies and practices, and study how software quality assurance techniques are used through the software development life cycle, including requirements analysis, verification and validation, and quality management.
Provide an introduction to computer graphics drawing algorithms and 2-dimensional and 3-dimensional display techniques. Learn the current software and hardware used for computational graphics and visualization.
Examine current and emerging technologies used to develop software systems. Apply advanced-level programming concepts to solve real-world programming problems. Use various programming technologies or platforms to develop advanced-level programming.
Taken in the student's final term, the capstone course is the culminating experience for the Bachelor of Science in Computer Science. Integrate previous coursework and practical experience with a focus on authentic demonstration of competencies outlined by the program. Enhance previously submitted programming projects that demonstrates a level of mastery of the stated outcomes of their degree program in computer science.
A large portion of data analytics focuses on identifying meaningful patterns in data. Using a case studies approach, students will examine effective strategies that blend both hypothesis testing and data-driven discovery methods to identify meaningful data patterns and apply that knowledge to common business problems. Emphasis will be placed on data-mining tasks such as classification, clustering, and sequential pattern discovery.
Introduce students to the major components of the Linux operating system and the basics of the Linux command line. Work with files and directories, archive and compress files, and search and extract data from files using pipes and redirection. Learn how to package Linux commands within a script.
This course develops software systems engineering principles combining object-oriented design principles and methods augmented by computer assisted engineering (CASE) technology. The course involves use of the unified modeling language (UML) and, through the vehicle of a student group project, applies these elements to the system development life cycle. This course is writing intensive, as student project teams are required to submit a comprehensive project report and a PowerPoint presentation. Specialized Systems Development Computer Laboratory intensive and open laboratory intensive. Writing intensive course.
Learn about operating environments used in today's business computing environments, including enterprise level systems down to mobile devices. Gain an understanding of the components in an operating system and how they interact with each other and with system hardware and application software. Explore the importance of writing programs that take full advantage of operating support.
Discrete mathematics is the study of mathematical structures that are fundamentally discrete rather than continuous. That is, in contrast to the real numbers that vary continuously, the objects of study in discrete mathematics take on distinct, separated values. Topics include operations on sets, logic, truth tables, counting, relations and digraphs, functions, trees and graph theory. A significant goal of this course is to improve students' critical-thinking and problem-solving skills.
This is a first course in linear algebra and matrices. Topics include systems of linear equations, linear independence, matrices of linear transformations, matrix algebra, determinants, vector spaces, eigenvalues and eigenvectors. After mastering the basic concepts and skills, students will use their knowledge of linear algebra to model a selection of applied mathematics problems in business, science, computer science and economics.
Electives or choose a Concentration:
Free Elective Credits: 6
Total Credits: 121
Tuition rates for SNHU's online degree programs are among the lowest in the nation. We offer financial aid packages to those who qualify, plus a 30% tuition discount for U.S. service members, both full and part time, and the spouses of those on active duty.
*Tuition Rates are subject to change and are reviewed annually.
No Application Fee, $150 Graduation Fee, Course Materials ($ varies by course)
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