University of North Texas
University of North Texas

Master of Science in Advanced Data Analytics - Sports

The MS in Advanced Data Analytics - Sports at the University of North Texas is a compelling choice due to UNT's growing reputation in data science and its strong athletic programs, providing ample opportunities for practical application. The program likely benefits from state-of-the-art computational facilities and faculty with expertise in both data analytics and sports science. This interdisciplinary approach allows students to gain a competitive edge in the rapidly evolving sports analytics industry. Furthermore, UNT's location provides access to a vibrant sports market.

science STEM Designated
schedule Duration

18 Months

school Level

Masters

location_on Location

United States

stars Credits

34

menu_book Syllabus & Modules

01

Statistical Modeling

Core Module

02

Data Visualization

Core Module

03

Machine Learning

Core Module

04

Sports Performance Analysis

Core Module

05

Database Management

Core Module

06

Sports Business Analytics

Core Module

07

Optimization Techniques

Core Module

08

Data Mining

Core Module

Career Outcomes

Employment Rate

Graduates employed within 6 months

85%
Employed
Other

Average Starting Salary

$70k - $100k

Core Focus & Roles

Sports Data Analyst Performance Analyst Scouting Analyst Sports Analytics Consultant
Graduates can pursue careers in professional sports teams, sports technology companies, sports marketing agencies, and sports data providers. Target industries include the NBA, NFL, MLB, NCAA, and companies like ESPN and Stats Perform. Professional opportunities range from analyzing player performance to optimizing team strategy and enhancing fan engagement.

Entry Requirements

language

English & Others

check

Accepts 15 Years Education

Yes

GMAT N/A
GRE N/A
SAT N/A
ACT N/A
IELTS 6
TOEFL 79
PTE 53
Duolingo 100
check

MAX. Backlogs Allowed

6

check

Application Fee

75

check

Deposit Fee

N/A

event

Document Submission Deadline

Fall:- April 15

event

Application Deadline

Fall:- April 15

Apply for this Course open_in_new Official Course open_in_new
event

Scholarship Deadline

N/A

school

Academic

  • Min GPA 3
smart_toy AI Powered

Ace Your University Interview

Practice with our advanced AI interviewer. Get real-time feedback on your answers, tone, and confidence to secure your spot.
mic