Bachelor of Science in Computer Science: Big Data Analytics Emphasis
Bachelor of Science in Computer Science: Big Data Analytics Emphasis
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The Bachelor of Science in Computer Science with an Emphasis in Big Data Analytics program at Grand Canyon University is designed to help you acquire comprehensive knowledge in data science and computer software design. You will explore the intricacies of big data analysis, and evaluate and enhance existing algorithms and methodologies while practicing ways to develop your own. This program aims to actively engage you in continuous skill development, ensuring a robust understanding and application of these essential concepts.
As a student within the College of Engineering and Technology at GCU, you will be presented with various objectives, including:
Median annual wage for data scientists in May 2022(See disclaimer 1)
After graduating with this degree, you may have the capacity to adopt new developments in computer science technologies and may seek work in applying theoretical foundations to solve practical problems in fast-paced, high-tech environments. This BS in Computer Science degree will teach you communication and collaboration skills to work with organizational stakeholders.
With a firm foundation of computer science and big data analytics competencies, you may be prepared to pursue work opportunities as:
Computer and information system managers
Computer programmers
Software developers
Information security analysts
Software quality assurance analysts and testers
Data scientists
Computer and information research scientists
Computer network support specialists
Database architects
Web developers
Web and digital interface designers
Postsecondary computer science teachers
If you’re eager to pursue a STEM career, then a bachelor’s degree in computer science may be a good choice for you. The following FAQs and answers can provide a starting point for more career-related research.
Are big data careers worth it?
What is the difference between big data and data science?
Does big data analytics require coding?
What degree is best for data analytics?
Why is big data analytics important?
If you are ready to pursue your future in computer science and big data analytics, join us at GCU. Fill out the form on this page to learn more about this program.
You will have opportunities to acquire a framework of knowledge in computer science and other sciences, with a deep dive into calculus, linear algebra, discrete math and statistics. You will progress through sequentially arranged coursework that is in-depth in nature and broad in scope. This multidisciplinary bachelor’s in computer science covers relevant topics in chemistry, biology and human-computer interaction.
Take Big Data Analytics Courses on Campus
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Big data refers to a very large volume of diverse data that can be used and collected by computing systems. Heavy volumes of data can bring with them their own challenges, such as difficulties in classifying complex datasets. Organizations rely on big data analytic experts to classify and organize big data and derive valuable insights from it.(See disclaimer 2) Within this big data analytics emphasis, you will be taught how to use and design methods and software applications that mine and analyze data from a variety of sources. You will also be expected to acquire a strong foundation in data science and data analytics software development.
In this degree, you will be taught how to work in a variety of information systems and how to create systems that analyze data with greater efficiency. The goal of this program is to graduate work-ready professionals who can be prepared to improve and support an organization's processes and extraction of actionable information from data collected.
In order to provide you with opportunities to develop industry-aligned competencies, our big data analytics courses offer a blend of theoretical and hands-on curriculum that cover topics such as:
Large-scale data processing
Statistical analysis
Computer programming using discipline-specific tools and methods
Data mining and interpretation
Pattern analysis
System architecture and organization
Information assurance and security
Data modeling
Social network theory
Search engine design
Campus: $8,250 per semester [More Info]
Up to 90 credits, only 84 can be lower division
Credits: Fill out the Lopes Eval to find out what will transfer
Admission Requirements (Bachelor's)
OR 2.5+ Unweighted GPA and
Admission requirements may differ based on degree level, program and modality, or transfer status. Some programs of study may require a higher GPA and/or other qualifying criteria for admission. Please review full admission and program requirements in the University Policy Handbook.
*Math and reading only on a 1600 point scale (test date after 3/1/2016). SAT score of 1380 required for 2400 point scale (test date before 3/1/2016).
The BS in Computer Science is accredited by the Computing Accreditation Commission of ABET, www.abet.org, under the commission’s General Criteria and Program Criteria for Computer Science.
GCU has held continuous institutional accreditation by the Higher Learning Commission since 1968. The College of Engineering and Technology shares the university’s commitment to upholding the principles and standards established by our accrediting bodies.
