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Data Analytics: Business Analytics Pathway

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

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. 

This pathway is available 100% online and has on campus options as well for interested students.

This program transfers seamlessly to the University of New Hampshire College of Professional Studies online bachelor’s degree in business management: business analytics. Additional transfer options are available to students for business analytics and business administration at multiple local private and public colleges.

Career Tracks

An associate degree in data analytics – business analytics typically provides skills for supporting business decision-making with data. While this degree is shorter and more introductory than a four-year degree, it can sufficiently prepare you for employment in entry-level positions in analytics or related fields. Job titles attainable for an associate’s degree holder include:

  • Marketing assistant
  • Research assistant
  • Data and reporting analyst
  • Administrative assistant
  • Sales analyst

A bachelor’s degree with a focus on business analytics gives graduates more advanced tools and techniques for data-driven decision-making. This is typically the entry point to mid-level roles in business analytics. Job titles typical of a bachelor’s degree level business analyst include:

  • Supply chain analyst
  • Business analyst
  • Business intelligence analyst
  • Data visualization specialist
  • HR data analyst
  • Financial analyst
  • Operations research analyst
  • Market research analyst

A master’s degree in business analytics (or a related field like Data Science or Business Intelligence) positions professionals for senior roles that require specialized knowledge, leadership, and the ability to manage complex business challenges. Examples of job titles at this level include:

  • Chief Data Officer (CDO)
  • Chief Analytics Officer
  • Director of Business Intelligence
  • Senior Business analyst
Program of Study

Business Analytics Pathway

FIRST YEAR – FALL SEMESTER

Course Code

Title

Class

Lab

CR

ENGL101N

College Composition

4

0

4

DATA101N

Introduction to Data Analytics

2

2

3

MATH106N

Statistics I

4

0

4

DATA105N

Data Mining

2

2

3

BCPT119N

Software Applications

2

2

3

 

 

 

Semester Credits

17

FIRST YEAR – SPRING SEMESTER

Course Code

Title

Class

Lab

CR

CSCI130N

CSCI207N

BCPT213N

Databases – An Overview   OR

Database Design & Management OR

Database Management: ACCESS

2

2

3

ENGL109N

ENGL103N

Public Speaking OR

Professional Writing & Presentations

3

0

3

DATA120N

Applied Data Analysis

2

2

3

MATH206N

DATA230N

Statistics II OR

Business analytics

4

0

4

Gen Ed

Behavioral Social Sciences OR

Non-Behavioral Social Sciences

3

0

3

 

 

 

Semester Credits

16

 

SECOND YEAR – FALL SEMESTER

Course Code

Title

Class

Lab

CR

BUS101N

BUS110N

Introduction to Business OR

Principles of Management

3

0

3

Gen Ed

Humanities/Fine Arts/World Languages

3

0

3

Gen Ed

Natural or Physical Sciences

 

 

4

ACCT101N

Financial Accounting 1

4

0

4

 

 

 

Semester Credits

14

 

SECOND YEAR – SPRING SEMESTER

Course Code

Title

Class

Lab

CR

DATA205N

Data Visualization

2

2

3

DATA210N

Data Wrangling

2

2

3

ACCT102N

Financial Accounting 2

4

0

4

DATA220N             

Applications of Machine Learning and Artificial Intelligence

2

2

3

 

 

 

Semester Credits

13

TOTAL

60

CREDITS

 



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.
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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Kimberly Seefeld, EdD
Professor and Program Coordinator
[email protected]
603.578.8900 Ext. 1554

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