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
DATA 3500 Python Programming 3 Fall, Spring, Summer
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
DATA 6230 Management of Database Systems 3 Fall, Spring
STAT/IS/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, Economics and Finance, Statistics).

Management Information Systems Specialization (16-18 Credits)

Choose 6 courses from below.

Course Number Course Name Credits Semester Offered
DATA 5500 Advanced Python 3 Spring
IS 6110 Workshop: Data Visualization 3 Spring
IS 6110 Workshop: Machine Learning 3 Fall
IS 6110 Workshop: Machine Learning Analytics 3 Spring
IS 6110 Workshop: Data Warehousing 3 Fall
DATA 6330 Database Implementation 3 Spring
DATA 6500 Data Mining 3 Spring
DATA 6860 Business Intelligence & Analytics 3 Spring
IS 6950 Independent Readings 3 Fall, Spring, Summer
STAT 5080 Data Technologies 2 Odd Fall
STAT 5150 SAS Predictive Analytics 2 Even Fall
CS 5665 Introduction to Data Science 3 Fall

Economics and Finance Specialization (16-18 Credits)

Master's program requires a minimum of 15 credits of 6000 level courses or higher.

Course Number Course Name Credits Semester Offered
FIN 6410 Corporate Finance 3 Spring
ECN 6600
Advanced Financial Economics
3 Fall
Choose five from the list below:
FIN 5300 Fixed Income 3 Fall
FIN 5330 Financial Econometrics 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
FIN 6400 Foundations of Finance 3 Pre-Fall**

 * must select one of these

 ** 2-week course held on campus 2 weeks prior to fall semester

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