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University of North Texas

University of North Texas

MS in Interdisciplinary Studies Master's with a concentration in Advanced Data Analytics

Full-time 2 Years

Jan 2027

OFFER RESPONSE

28 Days

APPLICATION FEE

75 USD

BACKLOGS

6 backlogs accepted

POST STUDY WORK

1-3 Years

TUITION

16505 USD
PER YEAR

LIVING/ PER YEAR

20000 USD
PER YEAR

DURATION

2 Years

INTAKE

Jan 2027
Deadline:01 Dec 2026

COURSE CURRICULUM

The Interdisciplinary Studies Master’s with a concentration in Advanced Data Analytics at the University of North Texas combines the flexibility of interdisciplinary education with specialized training in data analytics, allowing students to build a highly customized graduate degree tailored to their professional interests and career goals. Students work closely with academic counselors and faculty advisors to develop a personalized degree plan that integrates Advanced Data Analytics with two additional supporting disciplines, ensuring the curriculum aligns with both university guidelines and the student’s desired area of specialization. The program offers exceptional flexibility in course delivery, enabling students to study in person at UNT’s Denton or Frisco campuses or complete the degree entirely online, making it accessible for working professionals and distance learners. UNT’s online Interdisciplinary Studies master’s program has been recognized among the Top 25 Programs in the Nation by MyDegreeGuide.com, highlighting its academic quality and adaptability. The curriculum emphasizes the ability to synthesize information from multiple disciplines, helping students develop broader perspectives and stronger analytical problem-solving skills for complex modern challenges. Students who complete the required Advanced Data Analytics coursework, or approved equivalent substitutions, may also qualify for the Graduate Academic Certificate in Data Analytics if certificate requirements are satisfied, adding an additional credential to their academic profile. The program prepares students for careers where employers value adaptability, interdisciplinary thinking, and the ability to use advanced analytical tools to solve intricate business, scientific, technological, and organizational problems. Students gain practical and technical expertise in data management, analytics, visualization, and large-scale data interpretation through coursework such as Harvesting, Storing and Retrieving Data, Large Data Visualization, Discovery and Learning with Big Data, and Data Analytics I. Because the degree allows students to combine analytics with other disciplines such as business, healthcare, artificial intelligence, communication, engineering, or social sciences, graduates can develop unique professional niches that match emerging workforce needs. Overall, the program equips students with advanced data-driven decision-making skills, research competency, interdisciplinary insight, and the flexibility needed to succeed in increasingly data-focused and rapidly evolving industries.

Mode of Study

Full-time

Job Rate

94%

Course Entry Requirements

Review the entry and language criteria.

Choose your language proficiency test

* No IELTS, no TOEFL - this united states college doesn’t require an English test.

Scholarship Details

Details depend on the scholarships and study programs selected

*Based on Academic merit, students can receive scholarships ranging from 500 to 1000, depending on their performance and program criteria.

AVG STARTING SALARY

₹47L

for MSc Data Science at University of Edinburgh

PLACEMENT RATE

91%

across top 6 programs

Top recruiting companies

Google

Meta

JP Morgan

Amazon

Microsoft

Stripe

Atlassian

Deloitte

Expected Annual Salary

$85,000 / year

$70K$100K

Total Tuition Fees (2 Years)

$33,010

Total Living Costs

$40,000

Total Investment

$73,010

Years to Payback

0.9 YEARS

We calculate your ROI by dividing your total investment by your expected salary; this shows you exactly when your career starts generating pure profit for you.

Ready to take the next step?

Our counsellors review every application before it goes to the university.

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