Analytics

Degree:
  • Bachelor's
Location: Boston
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Why Analytics?

We are in the age of data, and there is tremendous demand for those who can analyze data and draw actionable insights from it. The Bachelor of Science in Analytics will provide you with the crucial competencies, skills, and experience you need to be in-demand across numerous industries, including marketing, finance, management, and healthcare.

Every day, 2.5 quintillion bytes of data are created, and companies that are more proficient in data-driven decision making are more profitable than their competitors (Burning Glass, 2018). This means those with analytics skills are in high-demand, and our Bachelor of Science in Analytics program gives students the competencies, skills, and experience they need to have successful careers across a range of industries. 

In this program you will develop your analytical capabilities through hands-on courses where you will:

  • Develop a foundation of argumentation, reasoning, and analytical thinking
  • Learn how to fetch and process data
  • Run statistical analysis
  • Program with R and Python
  • Communicate the story told by the data through visualization tools
  • Transform data into insights used for strategic decision-making 

You will also have the opportunity to gain experience by working with leading companies on real-world data analytics projects that help them make critical decisions. You’ll be able to tailor your degree to your career goals by selecting electives that will prepare you for employment in a broad range of industries exercising your data analytics skills.


More Details

Unique Features

  • You can participate in real-world, hands-on learning projects to ensure you get experience that puts you in demand with employers.
  • You’ll learn from faculty experts who have extensive real-world experience and will ensure you get practical skills that will help you advance your career.

What you'll study

General Requirements

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University-Wide Requirements

All undergraduate students are required to complete the University-Wide Requirements.

NUpath Requirements

All undergraduate students are required to complete the NUpath Requirements.

Foundation Courses (57 s.h.)

English

ENG 1105 - College Writing 1
3.00
ENG 1106 - Lab for ENG 1105
1.00
ENG 1107 - College Writing 2
3.00
ENG 1108 - Lab for ENG 1107
1.00
ENG 3107 - Writing for the Professions: Business and the Social Sciences
3.00
ENG 3108 - Lab for ENG 3107
1.00

Complete one of the following:

ENG 3260 - Writing to Inform and Persuade
3.00
TCC 3450 - Writing for the Web
3.00

Communication

CMN 1100 - Organizational Communication
3.00
CMN 2310 - Professional Speaking
3.00

Philosophy

PHL 2120 - Ethical Issues in Communication
3.00
PHL 2310 - Symbolic Logic
3.00

Mathematics

MTH 1100 - College Algebra
3.00
MTH 2400 - Technology and Applications of Discrete Mathematics
3.00

Information Technology

ITC 1100 - Human-Computer Interaction
3.00
ITC 2000 - Principles of Systems Analysis and Design
3.00
ITC 2016 - End-User Data Analysis Tools
3.00

Leadership

LDR 1200 - Assessing Your Leadership Capacity
3.00
LDR 3400 - Evidence-Based Leadership and Decision Making
3.00

Computer Engineering Technology

CET 2200 - Data Structures and Algorithms
3.00

Analytics

ALY 2010 - Probability Theory and Introductory Statistics
3.00
ALY 2100 - Introduction to Programming for Data Analytics
3.00

Major Required Courses (27 s.h.)

Information Technology

ITC 2300 - Database Management Systems
3.00
ITC 3300 - Structured Query Language (SQL)
3.00
ITC 3320 - Data Warehousing Technologies
3.00

Analytics

ALY 3015 - Intermediate Statistics for Data Analytics
3.00
ALY 3110 - Big Data and Web Mining
3.00
ALY 3040 - Data Mining
3.00
ALY 3070 - Communication and Visualization for Data Analytics
3.00
ALY 4000 - Analytics using R
3.00
ALY 4020 - Predictive Analytics Using R and Python
3.00

Professional Electives (12 s.h.)

Complete 12 semester hours in the following subject areas below:

MGT, MKT, FIN, PJM, HMG, CET, LDR, BTC

Suggested Electives:

MGT 1100 - Introduction to Business
3.00
MGT 2210 - Information within the Enterprise
3.00
MKT 2100 - Principles of Marketing
3.00
HRM 2320 - Human Resources Management
3.00
ACC 2100 - Financial Accounting
3.00
PJM 1100 - Project Management Fundamentals - Project Initiation and Close
3.00

Capstone (3 s.h.)

ALY 4850 - Analytics Capstone
3.00

Electives (21 s.h.)

Complete a minimum of 21 semester hours to reach 120 semester hours. Courses in the major may not double count for electives.

Suggested Elective Courses:

ART 2100 - Foundation in Visual Communication
3.00
LDR 3400 - Evidence-Based Leadership and Decision Making
3.00
ECN 1200 - Principles of Macroeconomics
3.00
ITC 2020 - Digital Collaboration and Team Building
3.00
ITC 2430 - E-Commerce Systems
3.00
HRM 2320 - Human Resources Management
3.00
ENG 3260 - Writing to Inform and Persuade
3.00
TCC 3450 - Writing for the Web
3.00
LDR 3200 - Leading and Managing Change
3.00
BIO 1050 - Medical Terminology
3.00
FIN 2105 - Introduction to Corporate Finance
3.00
FIN 3310 - Financial Institutions and Markets
3.00

This program requires successful completion of a minimum of empty credit hours that meet the degree requirements.

 
 

Meet Lead Faculty Alice Mello

Did You Know?

$96,674 is the median salary for people in "big data analytics" positions with a bachelor's degree. – (PayScale, 2018)

Commitment

Full-Time

Entry Terms

Fall
Spring
Summer

Meets F-1 Visa Requirements

Yes