Data Analytics
Graduate Badge
Grand Rapids • Face to face
• 9 CreditsGraduate Badge
Grand Rapids • Face to face
• 9 CreditsThe College of Computing's Data Analytics Graduate Badge at GVSU is designed to equip students with advanced skills in analyzing and working with complex data sets across various disciplines.
Students working to obtain this badge will learn to apply computational methods for knowledge discovery and data mining, evaluate and create effective data visualizations, and design parallel and high-performance computing algorithms. In addition, the program provides training in developing machine learning algorithms, preparing students to tackle complex data challenges in a range of professional settings.
When earning this badge, students will study topics that provide advanced skills in handling and analyzing complex data. These include working with big data across multiple disciplines, applying computational methods for knowledge discovery and data mining, and creating visualizations for complex data sets. Additional topics focus on designing parallel and high-performance computing algorithms and developing machine learning algorithms to solve real-world problems.
Earning this badge at GVSU will allow students to showcase their skills in analyzing complex data, data mining, visualizations, and machine learning—highly valuable in related fields such as cybersecurity. Whether earned through continuing education or as part of a degree, this badge enhances your education and provides a visible way to highlight your marketable skills. Digital badges can be shared on social media, websites, and emails, helping you stand out to potential employers.
A digital badge, or badge, is a record of achievement that recognizes a student's completion of a coherent and meaningful academic experience. GVSU offers both credit and non-credit bearing badges as digital credentials. Credit-bearing badges include anywhere from 0.5 to 15 academic credits and may include additional noncredit criteria. Credit-bearing badges are also posted to the academic transcript.
College of Computing
Dr. Robert Adams, Ph.D.
C-2-100 Mackinac Hall
(616)
331-2060
[email protected]
gvsu.edu/computing
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
Annual Earnings | Percentile |
---|---|
$ 59,112.68 | 10% |
$ 77,669.94 | 25% |
$ 98,818.91 | 50% |
$124,506.02 | 75% |
$147,608.24 | 90% |
Apply knowledge of health care and database management to analyze clinical data, and to identify and report trends.
Top skillsAnnual Earnings | Percentile |
---|---|
$ 59,112.68 | 10% |
$ 77,669.94 | 25% |
$ 98,818.91 | 50% |
$124,506.02 | 75% |
$147,608.24 | 90% |
Design, model, or implement corporate data warehousing activities. Program and configure warehouses of database information and provide support to warehouse users.
Top skillsAnnual Earnings | Percentile |
---|---|
$ 69,714.60 | 10% |
$ 91,533.11 | 25% |
$119,917.87 | 50% |
$142,618.02 | 75% |
$168,408.48 | 90% |
Design strategies for enterprise databases, data warehouse systems, and multidimensional networks. Set standards for database operations, programming, query processes, and security. Model, design, and construct large relational databases or data warehouses. Create and optimize data models for warehouse infrastructure and workflow. Integrate new systems with existing warehouse structure and refine system performance and functionality.
Top skillsAnnual Earnings | Percentile |
---|---|
$ 69,714.60 | 10% |
$ 91,533.11 | 25% |
$119,917.87 | 50% |
$142,618.02 | 75% |
$168,408.48 | 90% |