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.
Core courses (21 hrs) without a concentration
- ADTA 5120 (3 hrs) Introduction to Data Analytics
- 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 5940 (3 hrs) Analytics Capstone Experience
Electives (9 hrs)
Three elective courses (9 hours) are required after consultation with Dr. Denise Philpot, Clinical Assistant Professor.
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 5120 (3 hrs) Introduction to Data Analytics
- 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 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
Sports Concentration (12 hours) – UNT at Frisco campus option
Choose 4 of the following courses:
- MGMT 5490 (3 hrs) - Consulting for the Sport Entertainment Industry
- MGMT 5401 (3 hrs) - Talent Management in the Sport Entertainment Industry
- MKTG 5261 (3 hrs) - Corporate Partnerships in the Sport Entertainment Industry
- RESM 5520 (3 hrs) - Strategic Marketing for Sports and Event Organizations
- RESM 5530 (3 hrs) - Sport Law and Risk Management
- RESM 5600 (3 hrs) - Sport in the Global Marketplace
Statistics Concentration (12 hrs) – UNT at Frisco campus option
- BIOL 5130 (3 hrs) Biostatistics I
- MATH 5810 (3 hrs) Probability and Statistics (Offered at UNT at Frisco campus)
plus two of the following:
- 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.
- MATH 5820 (3 hrs) Probability and Statistics
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 Denise.Philpot@unt.edu.
Visit the Registrar's website for more information on course registration dates and payment deadlines.
