The data analytics associates degree program at Nashua Community College prepares students for further study in data analytics and related degrees. The degree program combines a solid academic background in data analytics along with associated mathematics and computer science courses.
Why Study Here?
The data analytics degree program at Nashua Community College offers a unique opportunity to study data analytics at a two-year college and prepare for further study. The program is fully transferable to the University of New Hampshire- Manchester for students to complete a bachelor’s degree in data analytics.
Career Options
Data analytics is a flexible career offering many job options using the skillset and can be used in different industries. Careers in data analytics frequently offer work from home and may accommodate nontraditional work schedules and needs of individual workers. Job titles of program graduates may include:
- Data analyst
- Business intelligence analyst
- Administrative/executive assistant
- Market research analyst
- Health data analyst
- Research assistant
DATA ANALYTICS DEGREE PATHWAYS
Data Science
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
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
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.
Total Credits: 3 Total Credits: 3 Total Credits: 3 View the comprehensive General Education Electives from the Elective Requirements main page. General Education Requirements Total Credits: 3 View the comprehensive General Education Electives from the Elective Requirements main page. General Education Requirements Students are advised to meet with their advisor to make appropriate elective selections based on their career goals and to facilitate the broadest range of transferability. Total Credits: 4 View the comprehensive General Education Electives from the Elective Requirements main page. General Education Requirements Science elective must be 4 credits Lab Science recommended for Associate in Science Degree in Human Services Recommended Lab Science courses are Calculus-Based Calculus-Based Physics I and Physics II for Associate in Science Degree in Mathematics Course Sequencing
First Year – Fall Semester
CSCI120N or CSCI161N
First Year – Spring Semester
CSCI130N or CSCI207N
Behavioral Social Science or History/Political Science
General Education
Second Year – Fall Semester
Humanities/Fine Arts/Philosophy or Global Awareness
General Education
Science Elective
General Education
Second Year – Spring Semester
Upon the completion of the degree in Data Analytics, graduates will be able to:Understand the data science life cycle and how it applies across a variety of industries.
- Efficiently collect and organize data from a variety of sources.
- Effectively apply statistical tools to identify patterns and relationships in large data sets.
- Effectively use data mining techniques to make recommendations to address real world problems.
- Effectively communicate patterns and relationships using a variety of data visualization techniques.
The data analytics degree program is open admissions and has no prerequisites for students to begin coursework. Students are required to have a computer meeting the technical specifications necessary to run analytical software. Most software packages used in the program are open source, provided by the college or available at nominal cost to students. When possible, freely available open educational resources are utilized in coursework thus minimizing student cost.
Contact us
Kimberly Seefeld, EdD
Professor and Program Coordinator
[email protected]
603.578.8900 Ext. 1554