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Bachelor of Science
Across multiple industries, organizations are harnessing massive amounts of internal and external data to inform decision-making and innovations in areas such as customer service practices, consumer and public outreach, and the design of products and services. As businesses realize the need to become more proactive, thoughtful and efficient in their decision-making, the need for talented data analytics professionals increases. In addition, the increasing availability of public and private data creates a number of new challenges for organizations that require data analysis. Questions such as how to leverage data appropriately and about the most efficient and ethical ways to secure data and protect users and organizations allow data analysts to provide insights that can transform how the business moves forward. The Bachelor of Science in Data Analytics provides students with the technical abilities and professional skills to help organizations leverage data to innovate practices and processes, and inform decision-making. In addition to providing students with a solid foundation in data analytics, students will be introduced to aspects of data science including data management and security, project management workflow, and business analytics. Students experience the data analytics lifecycle from consulting stakeholders on business problems, to delivering accurate information in support of successful business outcomes. Graduates will be skilled in interpreting business questions through a data lens, collecting and cleaning data, visualizing data, and communicating analytical results and recommendations to technical and non-technical audiences.
The Data Analytics (BS) program contains 26 identified courses across 4 requirement categories. The prerequisite data currently includes 18 known course relationships.
Structured catalog requirement categories, credit thresholds, and nested course rules.
42 Total Credits
Complete all of the following
42 credit(s) from: GenEd
Complete:
Complete:
42 Total Credits
Complete all of the following
Complete:
Complete:
12 Total Credits
12 credit(s) from CS, CYB, DAT, or IT within the 200 - 499 range or from the following courses:
Students who would like to complete a graduate-level course must meet all requirements in the Undergraduates Taking Graduate Courses policy.
24 Total Credits
24 credit(s).
Known courses in this degree map with credits and prerequisite links from catalog data.
| Course | Title | Credits | Prerequisites |
|---|---|---|---|
| MAT 136 | Introduction to Quantitative Analysis | 3 | None listed |
| MAT 140 | Precalculus | 3 |
|
| MAT 243 | Applied Statistics for Science, Technology, Engineering, and Mathematics (STEM) | 3 | None listed |
| DAD 220 | Introduction to Structured Database Environments | 3 | None listed |
| IT 140 | Introduction to Scripting | 3 | None listed |
| MAT 225 | Calculus I: Single-Variable Calculus | 3 |
|
| MAT 303 | Applied Statistics II for Science, Technology, Engineering, and Mathematics (STEM) | 3 |
|
| BUS 206 | Business Law I | 3 | None listed |
| COM 213 | Public Speaking and Presentation Skills | 3 |
|
| COM 227 | Public Relations | 3 |
|
| DAT 510 | Foundations of Data | 3 | None listed |
| DAT 515 | Enterprise Data Management | 3 |
|
| DAT 520 | Decision Methods and Modeling | 3 |
|
| DAT 530 | Presentation and Visualization of Data | 3 |
|
| QSO 340 | Project Management | 3 | None listed |
| SNHU 495 | Internship | 3 | None listed |
| DAT 205 | Role of Data Analysis in Organizations | 3 | None listed |
| DAT 223 | Gathering Requirements and Collecting Data | 3 |
|
| DAT 250 | Data Policy and Decision Making | 3 | None listed |
| DAT 260 | Emerging Technologies and Big Data | 3 |
|
| DAT 300 | Data Validation: Getting the Right Data | 3 | None listed |
| DAT 325 | Data Validation: Quality and Cleaning | 3 |
|
| DAT 375 | Data Analysis Techniques | 3 |
|
| DAT 430 | Leveraging Data Analysis for Organizational Results | 3 |
|
| DAT 475 | Applied Data Analysis | 3 |
|
| IT 226 | Communication in STEM Professions | 3 | None listed |
| ENG 190External | Research and Persuasion | — | None listed |
| ENG 200External | Research and Composition | — | None listed |
| MAT 142External | Precalculus with Limits | — | None listed |