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Curriculum

Reflecting the multi-disciplinary nature of data analytics, this program consists of a core combination of 17 credits from across three USU Departments: Mathematics and Statistics, Data Analytics & Information Systems, and Economics and Finance.

Students select one of three available specialization options:

  • Management Information Systems
  • Economics and Finance
  • Statistics

Your specialization choice determines your advising home and academic department.

The capstone course is an applied project in collaboration with faculty and other students, involving real-world data-driven questions provided by corporate partners. This provides a crucial conduit for qualified students to enter the workforce upon graduation by matching them with potential employers during their capstone experience.

MDATA Core Courses (17 Total Credits)

Course Number Course Name Credits Semester Offered
CS 3430 Scientific Computing with Python 3 Spring
STAT 5050 Introduction to R 1 Fall, Spring
STAT 5550 Statistical Visualization I 2 Fall
STAT 5650 Statistical Learning and Data Mining I 2 Spring
ECN 4330 Applied Econometrics 3 Fall
MIS 6230 Management of Database Systems 3 Fall, Spring
STAT/MIS/ECN 6XXX Capstone Project in Internship in Data Analytics 3 Spring

Specialization Options

Select one of the following three specialization options to complete the degree requirements.

Management Information Systems Specialization (16-18 Credits)

Choose 6 courses from below.

Course Number Course Name Credits Semester Offered
CS 5665 Introduction to Data Science 3 Fall
MIS 6110 Workshop: Data Visualization 3 Spring
MIS 6110 Workshop: Machine Learning
3 Fall
MIS 6110 Workshop: Machine Learning Analytics 3 Spring
MIS 6110 Workshop: Data Warehousing
3 Fall
MIS 6330 Database Implementation 3 Spring
MIS 6500 Data Mining 3 Spring
STAT 5080 Data Technologies 2 Odd Fall
STAT 5150 SAS Predictive Analytics 2 Even Fall

Economics and Finance Specialization (16-18 Credits)

Course Number Course Name Credits Semester Offered
FIN 5350 Financial Modeling 3 Fall
Choose five from the list below:
FIN 5100 Financial Markets and Trading 3 Spring
FIN 5300 Fixed Income* 3 Fall
FIN 5330 Financial Econometrics 3 Spring
FIN 6460 Investment Analysis* 3 Spring
FIN 6470 Derivatives Markets* 3 Spring
ECN 7310 Econometrics I 3 Fall
ECN 7320 Econometrics II 3 Spring
STAT 5080 Data Technologies 2 Odd Fall
STAT 5150 SAS Predictive Analytics 2 Even Fall

* must select one of these

Statistics Specialization (16-17 Credits)

Course Number Course Name Credits Semester Offered
STAT 5080 Data Technologies 2 Odd Fall
STAT 5150 SAS Predictive Analytics 2 Even Fall
STAT 6560 Statistical Visualization II 2 Even Spring
STAT 6650 Stat Learning: Multivariate Stat Analysis for Bioinformatics, Data Mining, and Machine Learning 2 Odd Spring
STAT 6680 Statistical Thinking for Big Data 3 Odd Spring
Choose two from the list below:
STAT 5120 Statistical Methods for Rates and Proportions 3 Fall
STAT 5410/6410 Applied Spatial Statistics 3 Even Spring
STAT 5500/6500 Biostatistics Methods 3 Spring
STAT 5570/6570 Statistical Bioinformatics 3 Odd Fall
STAT 6100 Advanced Regression Analysis 2 Even Spring
CS 5665 Introduction to Data Science 3 Fall
CS 5830 Data Science Incubator 3 Spring
CS 6665 Data Mining 3 Spring
CS 6675 Advanced Data Science and Mining 3 Spring