University of North Texas
University of North Texas

Master of Science in Advanced Data Analytics - Statistics

The University of North Texas's Master of Science in Advanced Data Analytics - Statistics is a compelling choice due to UNT's established reputation in data science and its commitment to providing students with cutting-edge analytical skills. The program leverages state-of-the-art facilities and resources, ensuring students gain practical experience with industry-standard tools. UNT's faculty includes experienced researchers and practitioners, offering valuable mentorship and networking opportunities within the data analytics field.

science STEM Designated
schedule Duration

18 Months

school Level

Masters

location_on Location

United States

stars Credits

34

menu_book Syllabus & Modules

01

Statistical Inference

Core Module

02

Regression Analysis

Core Module

03

Data Mining

Core Module

04

Bayesian Analysis

Core Module

05

Time Series Analysis

Core Module

06

Experimental Design

Core Module

07

Multivariate Analysis

Core Module

08

Statistical Computing

Core Module

Career Outcomes

Employment Rate

Graduates employed within 6 months

90%
Employed
Other

Average Starting Salary

$75k - $110k

Core Focus & Roles

Data Scientist Statistician Data Analyst Business Intelligence Analyst
Graduates are well-prepared for careers in various industries, including finance, healthcare, technology, marketing, and government. They can pursue roles involving data analysis, statistical modeling, data visualization, and predictive analytics. Opportunities exist in both research-oriented and applied settings, allowing graduates to contribute to data-driven decision-making processes.

Entry Requirements

language

English & Others

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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
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MAX. Backlogs Allowed

6

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Application Fee

75

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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
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Scholarship Deadline

N/A

school

Academic

  • Min GPA 3
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