Data Analytics

Program
Degree Type
Associate in Science

Go to nashuacc.edu/programs for even more details about this and other NCC programs and certificates.

Program Overview

The Data Analytics program offers a robust academic foundation for students looking to develop expertise in collecting, organizing, analyzing, interpreting, and presenting data. Students gain the essential skills and knowledge needed to work with large data sets, make data-driven decisions, and effectively communicate insights, patterns, and relationships.

Within the data analytics degree students select from three pathways depending on their goals and interest: data science, business analytics, and healthcare applications.

Data science pathway

The data science pathway emphasizes a solid foundation in higher mathematics and computational skills. Students learn to analyze complex data—both structured and unstructured—using advanced techniques in predictive modeling and programming languages like Python and SQL. This pathway is ideal for students who plan to pursue advanced studies in data analytics and related fields such as statistics, machine learning, and artificial intelligence, at the baccalaureate level and beyond.

Business analytics pathway 

The business analytics pathway focuses on applying data to inform decision-making in both public and private sectors. The course content is regularly updated based on input from local employers to ensure students develop relevant, marketable skills. Graduates are prepared for entry-level analytical roles such as business intelligence analyst, marketing analyst, and human resources analyst, while also having the foundation to pursue further studies in business analytics.

Healthcare applications pathway

The healthcare applications pathway integrates study of data analytics with key areas of public health, medical terminology, U.S. healthcare systems, and healthcare IT, including Electronic Medical Records (EMR) applications. This pathway equips students with the skills needed for data-intensive roles in the healthcare sector (research assistant, health insurance analyst, healthcare quality analyst, and other data-focused positions) or to pursue further study in healthcare administration, public health, and related fields at the baccalaureate level and beyond.

Program Outcomes

Upon the completion of the degree in Data Analytics, graduates will be able to:

  1. Identify data sources, types of data, and data structures, including structured and unstructured data.
  2.  Remediate raw data as appropriate before analysis including cleaning and restructuring data using software tools and programming skills.
  3. Collect and combine data from multiple sources using database programming (SQL) and related skills.
  4. Use analytical tools to identify patterns and relationships in data sets including time trends, cluster analysis, association analysis, classification, and statistical associations and relations.
  5. Apply data analytics to address real-world problems and communicate results to stakeholders
  6. Visually communicate patterns and relations in data applying best practices of data visualization.
  7. Identify legal and ethical issues in analyzing data and adhere to ethical standards

In addition, the graduate will be able to demonstrate competency in the general education outcomes.

Technical Standards
  • Have command of the English language
  • Have reading comprehension skills sufficient to read and comprehend college textbooks
  • Have communication skills sufficient to prepare required reports
  • Be able to understand and follow both written and oral instructions
  • Be able to complete requirements for college level classes
  • Have the ability to communicate information and ideas to others.

Within the data analytics degree students select from three pathways depending on their goals and interest: data science, business analytics, and healthcare applications.

Sub-Total Credits
60.00-61.00
Total Credits
60-61
Course Sequencing

Data Science Pathway

The data science pathway emphasizes a solid foundation in higher mathematics and computational skills Students learn to analyze complex data—both structured and unstructured—using advanced techniques in predictive modeling and programming languages like Python and SQL. This pathway is ideal for students who plan to pursue advanced studies in data analytics and related fields such as statistics, machine learning, and artificial intelligence, at the baccalaureate level and beyond.

Sub-Total Credits
61.00
Item #
Title
Class Hours
Lab Hours
Credits
Sub-Total Credits
17.00
Item #
Title
Class Hours
Lab Hours
Credits
Behavioral Social Science or Non-Behavioral Social Science Elective  +
3
Sub-Total Credits
16.00
Item #
Title
Class Hours
Lab Hours
Credits
Humanities/Fine Arts/World Language Elective  +
3
Natural or Physical Science Elective (w lab)  +
4
Sub-Total Credits
11.00
Item #
Title
Class Hours
Lab Hours
Credits
Sub-Total Credits
14.00

Business Analytics Pathway

The business analytics pathway focuses on applying data to inform decision-making in both public and private sectors. The course content is regularly updated based on input from local employers to ensure students develop relevant, marketable skills. Graduates are prepared for entry-level analytical roles such as business intelligence analyst, marketing analyst, and human resources analyst, while also having the foundation to pursue further studies in business analytics.

Sub-Total Credits
60.00
Item #
Title
Class Hours
Lab Hours
Credits
Behavioral Social Science or Non-Behavioral Social Science Elective  +
3
Sub-Total Credits
16.00
Item #
Title
Class Hours
Lab Hours
Credits
Humanities/Fine Arts/World Language Elective  +
3
Natural or Physical Science Elective (w lab)  +
4
Sub-Total Credits
11.00

Healthcare Applications Pathway

The healthcare applications pathway integrates study of data analytics with key areas of public health, medical terminology, U.S. healthcare systems, and healthcare IT, including Electronic Medical Records (EMR) applications. This pathway equips students with the skills needed for data-intensive roles in the healthcare sector (research assistant, health insurance analyst, healthcare quality analyst, and other data-focused positions) or to pursue further study in healthcare administration, public health, and related fields at the baccalaureate level and beyond.

Sub-Total Credits
61.00
Item #
Title
Class Hours
Lab Hours
Credits
Behavioral Social Science Elective  +
3
Sub-Total Credits
16.00
Item #
Title
Class Hours
Lab Hours
Credits
Humanities/Fine Arts/World Language Elective  +
3
Natural or Physical Science Elective (w lab)  +
4
Sub-Total Credits
10.00