Courses
The M.S. in Advanced Data Analytics is a 30-hour degree, consisting of 7 core courses (21 hrs) and 3 electives (9 hrs).
The accelerated online option provides five start times per year: Fall Semester–August and October; Spring Semester–January and March; and Summer Semester–June. All of our core courses are offered in 8-week sessions during the fall, spring, and summer semesters. We also offer many of our courses during the summer session. For students that want the in-class experience, our core courses are offered at our UNT at Frisco campus and the main campus in Denton in a hybrid format spanning the traditional 16-week semester in the fall and spring. Hybrid courses are a combination of in-class and online curriculum delivery. Regardless of the delivery format a student chooses, they will receive the same course content. By choosing the accelerated online course format, students can complete their degree in as few as 12 months.
Data Analytics Microcourses:
A new online learning option, providing a manageable pace towards a credential for those already balancing demanding work-life obligations. These 4-week courses cover one-third of the content of a full semester course. Three microcourses stack into a three credit hour course and multiple courses can be stacked into a data analytics certificate. After completing 5 graduate courses in as few as 7 months, learners can earn an academic certificate and then need just 5 more courses to earn a master’s degree. After completing 5 undergraduate courses, learners earn an academic certificate, which can be a standalone certificate or part of an undergraduate degree such as the UNT Bachelor of Applied Arts and Science degree. Earning a data analytics academic certificate or a degree from UNT is a great way to demonstrate your expertise and advance your career!
Learn More at dataanalytics.unt.edu!Core courses (21 hrs) without a concentration
- ADTA 5130 (3 hrs) Data Analytics I
- ADTA 5230 (3 hrs) Data Analytics II
- ADTA 5250 (3 hrs) Large Data Visualization
- ADTA 5240 (3 hrs) Harvesting, Storing and Retrieving Data
- ADTA 5340 (3 hrs) Discovery and Learning with Big Data
- ADTA 5410 (3 hrs) Applications and Deployment of Advanced Analytics
- ADTA 5940 (3 hrs) Analytics Capstone Experience
Electives (9 hrs)
Three elective courses (9 hours) are required after consultation with Jessica Temple, Advanced Data Analytics Academic Counselor.
New courses which can be selected include:
- ADTA 5550 (3 hrs) Deep Learning with Big Data
- ADTA 5560 (3 hrs) Recurrent Neural Networks for Sequence Data
Core courses (18 hrs) with a concentration
- ADTA 5130 (3 hrs) Data Analytics I
- ADTA 5230 (3 hrs) Data Analytics II
- ADTA 5240 (3 hrs) Harvesting, Storing and Retrieving Data
- ADTA 5340 (3 hrs) Discovery and Learning with Big Data
- ADTA 5410 (3 hrs) Applications and Deployment of Advanced Analytics
- ADTA 5940 (3 hrs) Analytics Capstone Experience
Digital Retailing Concentration (12 hrs) – online option
- MDSE 5240 (3 hrs) Global Retailing
- MDSE 5710 (3 hrs) Digital Optimization
- MDSE 5750 (3 hrs) Digital Retailing
and choose one:
Health Data Analytics Concentration (12 hrs) – online option
- HLSV 5300 (3 hrs) Information Systems for Healthcare Management
- HLSV 5450 (3 hrs) Health Services Administration
- HLSV 5740 (3 hrs) Financial Issues in Health Services Administration
- HLSV 5820 (3 hrs) Marketing Health Services
Management Concentration (12 hrs) – accelerated online option
- MGMT 5140 (3 hrs) Organizational Behavior and Analysis
- MGMT 5760 (3 hrs) Strategic Management
- MGMT 5870 (3 hrs) Leadership Research and Development
and choose one:
- MGMT 5120 (3 hrs) Managing Organizational Design and Change
- MGMT 5300 (3 hrs) Entrepreneurship and Venture Management
Statistics Concentration (12 hrs) – UNT at Frisco campus option
- ADTA 5610 (3hrs) - Applied Probability Modeling for Data Analytics
- ADTA 5620 (3 hrs) - Applied and Computational Statistics for Data Analytics (AY 2022-23)
plus two of the following:
- BIOL 5130 (3 hrs) Biostatistics I
- BIOL 5140 (3 hrs) Biostatistics II
- BIOL 5810 (3hrs) Biocomputing
- BIOL 5820 (3 hrs) Computational Epidemiology
- MATH 5700 (3 hrs) when taught as a Bioinfomatics course.
- GEOG 5195 (3 hrs) Advanced Geospatial Data Analytics
- ECON 5645 (3 hrs) Empirical Linear Modeling
- ECON 5660 (3 hrs) Time Series Econometrics and Forecasting
Background
In order to be successful in the program, a background class in applied statistics, business statistics, ADTA 5100 Fundamentals of Data Analytics or an equivalent course is required.
For additional information, contact analytics@unt.edu.
Visit the Registrar's website for more information on course registration dates and payment deadlines.
