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Data Analytics

Data Analytics
Nashua Community College > Programs > Data Analytics
Overview
Program of Study
Program Outcomes
Program-Specific Requirements
Overview

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

 

Program of Study

Total Credits:
61

Course Sequencing

First Year – Fall Semester

Item #
Title
Credits
ENGL101N
College Composition
4
DATA101N
Introduction to Data Analytics
3
MATH106N
Statistics I
4
CSCI120N or CSCI161N +
3

CSCI120N or CSCI161N

Total Credits: 3


CSCI120N
Introduction to Scripting – Python
3
CSCI161N
Introduction to Programming
3
DATA105N
Data Mining
3

First Year – Spring Semester

Item #
Title
Credits
CSCI130N or CSCI207N +
3

CSCI130N or CSCI207N

Total Credits: 3


CSCI130N
Databases – An Overview
3
CSCI207N
Database Design & Management
3
ENGL109N
Public Speaking
3
DATA120N
Applied Data Analysis
3
MATH206N
Statistics II
4
Behavioral Social Science or History/Political Science +
3

Behavioral Social Science or History/Political Science

Total Credits: 3

General Education

View the comprehensive  General Education Core Electives and General Education Electives   from the  Elective Requirements main page.

General Education Requirements


Second Year – Fall Semester

Item #
Title
Credits
BUS101N
Introduction to Business
3
MATH210N
Calculus I
4
Humanities/Fine Arts/Philosophy or Global Awareness +
3

Humanities/Fine Arts/Philosophy or Global Awareness

Total Credits: 3

General Education

View the comprehensive  General Education Core Electives and 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.


Science Core Requirement +
4

Science Core Requirement

Total Credits: 4

General Education

View the comprehensive  General Education Core Electives and 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 


Second Year – Spring Semester

Item #
Title
Credits
MATH211N
Calculus II
4
DATA205N
Data Visualization
3
DATA210N
Data Wrangling with R and Python
3
MATH215N
Linear Algebra
4

Total Credits:
61

Program Outcomes

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.

  1. Efficiently collect and organize data from a variety of sources.
  2. Effectively apply statistical tools to identify patterns and relationships in large data sets.
  3. Effectively use data mining techniques to make recommendations to address real world problems.
  4. Effectively communicate patterns and relationships using a variety of data visualization techniques.
Program-Specific Requirements

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.

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