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Concentration

Big Data Analytics

Carousel placeholder image Cindy Nguyen
Aug 27, 2020
Data Science student creates nanoHUB tool to enhance remote education
Cindy Nguyen, a senior data science student at Florida Polytechnic University, recently completed an Undergraduate Research Experience (URE) with the Network for Computational Nanotechnology (NCN) at Purdue...
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Careers in Big Data Analytics

big data analytics

Job Growth

The Bureau of Labor Statistics reports that demand for jobs in big data analytics will grow by 36% between 2021 and 2031. Common professions include data analyst, data scientist, data engineer, and business intelligence analyst. The average salary for Big Data Analytics jobs in the United States is $133,810 annually. ZipRecruiter

Discover Big Data Analytics

Big data analytics is the process of using advanced techniques in data acquisition and storage, data processing, machine learning, data mining, and statistical analysis to extract insights and knowledge from large and complex data sets. Big data analytics students in computer science or data science work on issues related to the economy, large businesses, global supply chain management, bioinformatics, healthcare and other areas of science and technology by analyzing large data sets and building models to understand and forecast various events.
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Solve Complex Problems

When businesses have complex problems, big data analytics can solve them by providing insights and predictions that can guide decision-making and improve performance. For example, by analyzing customer data, a company might identify purchasing patterns and improve the business’ marketing strategy. In health care, big data analytics can be used to identify patterns in patient data that can inform the development of new treatments.
big data analytics

Impact various Business Sectors

Big data analytics methods are also used to analyze the stock market and predict consumer behavior. Such big data analytics methodologies and techniques can also improve the efficiency of global supply chain management by analyzing shipping and inventory data in real time. In health care, big data analytics is used to improve patient outcomes by evaluating electronic health records and other medical data.
big data analytics

Power your Future

An increasing demand for professionals with expertise in data analysis and processing, machine learning, data mining, and statistics is a trend in big data analytics. To be successful in a career in big data analytics, students should have a strong background in mathematics and statistics, as well as experience with programming languages such as Python, R, SQL and big data frameworks. They should also have good problem-solving skills, the ability to work with large datasets, and the ability to communicate their findings effectively to both technical and non-technical audiences.

 

 

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We live in a world of big data. There are many data sources, but a lot of these data points or observations don’t necessarily have a label or are annotated. There is a need for an automated way to identify the correct label or the correct group to which a particular comment may belong.” ”
Dr. Rei Sanchez-Arias
Assistant Professor of Data Science and Business Analytics

Big Data Analytics Coursework

Students in Big Data Analytics learn to collect, manage, and optimize large-scale structured and unstructured data sets to facilitate information and decision-making. Students in Big Data Analytics develop a strong foundation in essential programming skills, quantitative analysis, and hardware and software solutions for facilitating effective use of big data.
computer science

B.S. in Computer Science: Big Data Analytics

CAP 4770: Data Mining & Text Mining (3 credits)
COP 3729: Database 2 (3 credits)

Select two of the following: 
CAP 4786: Topics in Big Data Analytics (3 credits)
CAP 4410: Computer Vision (3 credits)
CAP 4613: Applied Deep Learning (3 credits)
CAP 4793: Advanced Data Science (3 credits)

Curriculum

data science

B.S. in Data Science: Big Data Analytics

COP 3729: Database 2 (3 credits)
CAP 4786: Topics in Big Data Analytics (3 credits)

Select two of the following: 
CAP 3774: Data Warehousing (3 credits)
CAP 4613: Applied Deep Learning (3 credits)
CAP 4410: Computer Vision (3 credits)

Curriculum

  Transfer Credits

  • Whether this is your first time in college after high school or you are transferring from another college to finish your bachelor’s degree, we understand that one of your top priorities is to learn how your past credit will apply to your Florida Poly degree.
  • Submit Official Transcripts and Test Scores: All official transcripts and test score reports must be sent to the Office of Admissions as soon as possible. If a transcript is sent while a term is in progress, students are required to send another official copy once final grades are available. This is to include final transcripts reflecting high school, associate’s, bachelor’s, or graduate degrees earned at a prior school.
  • Transfer Credit Evaluations: After a student has been admitted, transfer credit evaluations are completed by the Registrar’s Office to determine which courses taken outside of Florida Poly are applicable to the student’s selected program of study. Exam credit (AICE, AP, CLEP, and IB) is also evaluated for applicability at this time.
  • Grades accepted for college transfer credit: Florida Poly requires a student to earn a minimum of C or higher (a grade of C- (minus) does not meet the minimum grade requirement), to be transferrable and applicable to their degree. If an institution uses Pass/Fail grading, passed coursework equivalent to a C or higher (as indicated by the transfer institution) will be considered transferable.

Want to be a Phoenix? Get in touch with Admissions.