University of North Texas
University of North Texas

Master of Science in Advanced Data Analytics - Digital Retailing

The University of North Texas's MS in Advanced Data Analytics with a specialization in Digital Retailing is a compelling choice due to UNT's strong academic reputation in data science and business analytics. The program leverages state-of-the-art facilities and resources, including advanced data labs and software, providing students with hands-on experience. This specialized track prepares graduates to excel in the rapidly evolving digital retail landscape, offering a unique blend of analytical skills and industry-specific knowledge.

science STEM Designated
schedule Duration

18 Months

school Level

Masters

location_on Location

United States

stars Credits

34

menu_book Syllabus & Modules

01

Data Mining

Core Module

02

Machine Learning

Core Module

03

Database Management

Core Module

04

Digital Retailing Strategies

Core Module

05

Customer Analytics

Core Module

06

Supply Chain Analytics

Core Module

07

E-Commerce Technologies

Core Module

08

Marketing Analytics

Core Module

Career Outcomes

Employment Rate

Graduates employed within 6 months

85%
Employed
Other

Average Starting Salary

$70k - $100k

Core Focus & Roles

Retail Data Analyst E-commerce Analyst Marketing Analytics Manager Supply Chain Analyst
Graduates can pursue careers in e-commerce companies, retail chains, marketing agencies, and consulting firms. Target industries include fashion, consumer goods, technology, and grocery. Opportunities exist in areas such as pricing optimization, personalized marketing, supply chain management, and customer experience analytics.

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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