Data Analytics - BA, BS

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Jon M. Huntsman School of Business

Department of Data Analytics and Information Systems

About This Degree

Data analysts and data scientists are in heavy demand by companies who need to make decisions in an increasingly data-driven world. In the Data Analytics program, students gain hands-on experience applying the latest data technologies and sophisticated analytical methods, with rigorous courses in computer programming, machine learning and artificial intelligence, data engineering, visualization, and data mining. The Data Analytics experience includes real-world problem-solving across all functions of an organization, including strategy, sales and marketing, accounting, finance, human resources, and operations.

For more information about Data Analytics and Information Systems, see the website.
Admitted and current students must meet with an advisor.
Log on to Degree Works to check student-specific program progress.
The highest math requirement for this degree is MATH 2270 Linear Algebra (QI) .

Minimum University Requirements

Total Credits: 120
Credits of C- or better: 100
Total credits taken through USU: 30
Total major required credits taken at USU: 10
Minimum Grade Point Average (many majors require a higher GPA): 2.0 GPA
Credits of upper-division courses (#3000 or above): 40
Upper-division credits taken at USU: 20
General Education Requirements
University Studies Requirements
Undergraduate Degree Requirements

Admission Requirements For This Program

First-Year and Transfer Students are admitted to the Huntsman School of Business based on USU’s Admission Requirements.

Current USU Students in good standing qualify for admission into a Huntsman School major.

Huntsman School Admission Details: https://huntsman.usu.edu/undergraduate/apply

Notes:

Elective credits needed will be determined on an individual basis (a student with continuing education, AP credits, and Language credits may not require additional elective credits).
Completing a minor is recommended to fulfill elective credits.
Completion of IS 4250 requirement is recommended during junior or senior year.
ENGL 2010 requires a grade of C or better to satisfy prerequisites for further courses.
A 2.0 overall and 2.5 major GPA is required to be recommended for graduation.
Major requirements may not be taken on a pass/fail basis.

Major Requirements - Analytics Core (34 credits)

Students are required to take the following courses along with the business acumen. A 2.5 GPA in core and major courses is required for graduation.

Complete the following:
DATA 3330 - Database Management 3 credit(s)
DATA 3400 - Data Visualization with Tableau (CI) 3 credit(s)
DATA 3500 - Introduction to Python Programming 3 credit(s)
DATA 4330 - Advanced Database and Database Analytics 3 credit(s)
DATA 5500 - Advanced Python Programming for Analytics 3 credit(s)
DATA 5600 - Introduction to Regression and Machine Learning for Analytics 3 credit(s)
DATA 5610 - Advanced Machine Learning for Analytics 3 credit(s)
MATH 1210 - Calculus I (QL) 4 credit(s)
MATH 2270 - Linear Algebra (QI) 3 credit(s)
Choose two electives:
DATA 5330 - Data Pipeline Engineering 3 credit(s)
DATA 5360 - Data Warehousing 3 credit(s)
DATA 5400 - Visual Data Analytics 3 credit(s)
DATA 5420 - Introduction to Text Mining 3 credit(s)
DATA 5480 - Data Mining 3 credit(s)
DATA 5570 - Building Software With Artificial Intelligence 3 credit(s)
DATA 5630 - Deep Forecasting 3 credit(s)
DATA 5690 - Computational Methods for FinTech 3 credit(s)
DATA 5695 - Predictive Methods for FinTech 3 credit(s)

Business Acumen (46-47 credits)

All acumen courses must have a minimum grade of C unless otherwise stated.

ACCT 2010 - Financial Accounting Principles 3 credit(s) (Accounting majors: B grade or higher)
ACCT 2020 - Managerial Accounting Principles 3 credit(s)
BUS 3200 - Business Communication (CI) 3 credit(s)
DATA 1100 - Excel for Business Analysis 1 credit(s)
DATA 2100 - Data and Information in Business 3 credit(s)
DATA 3100 - Making Decisions with Data 3 credit(s)
DATA 3300 - Introduction to Modern Data Analytics (QI) 3 credit(s)
ECN 1500 - Introduction to Economic Institutions, History, and Principles (BAI) 3 credit(s)
ECN 2010 - Introduction to Microeconomics (BSS) 3 credit(s)
FIN 3200 - Fundamentals of Finance I (QI) 3 credit(s) (All Finance, International Business, and Management (Wealth Management emphasis) majors: B- grade or higher)
FIN 3300 - Fundamentals of Finance II 3 credit(s)
MGT 3050 - Foundations of Business: Capitalism, Markets, and Innovation 3 credit(s)
MGT 3350 - Legal and Ethical Environment of Business 3 credit(s)
MGT 3700 - Operations Management 3 credit(s) (International Business and Management: Operations and Supply Chain Management emphasis) majors: B- grade or higher required)
MSLE 3500 - Fundamentals of Marketing 3 credit(s) (International Business majors: B- grade or higher; Marketing majors: B grade or higher)
MSLE 3800 - Leadership 2 credit(s)
MSLE 3890 - Systems Strategy and Problem Solving 2 credit(s)

Open Electives

Total elective credit is determined by General Education courses taken, degree type selected, additional credits earned, and any additional math or other prerequisite courses needed. Please consult your  Academic Advisor for details.

Total Credits: 120

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