M.S. in Advanced Data Analytics

Entry Requirements for Postgraduate Programs

Application Fees : US$ 75

1. Academic Qualifications:

   • To be eligible for admission to a postgraduate program at UNT, international students should have a bachelor's degree or its equivalent from a recognized institution.                                                                                                                                                                                                    

2. English Language Proficiency:

   • IELTS: An overall score of 6.5 or higher is required, with no individual band score lower than 6.
   • TOEFL iBT (Test of English as a Foreign Language - Internet-Based Test): A minimum overall score of 79 or higher is expected.
   • PTE (Pearson Test of English): A minimum score of 53 or higher is required.
   • DET (Duolingo English Test): A score of 100 or higher is the requirement. 

The University of North Texas (UNT) offers a variety of scholarships to support international students in pursuing their education in the United States. These scholarships are designed to recognize academic achievement, leadership potential, and contributions to the UNT community. 

1. International Excellence Scholarship: This merit-based scholarship is awarded to new undergraduate and graduate international students. The scholarship amount varies and can significantly offset tuition costs.

2. International Education Scholarship: This scholarship is available for undergraduate and graduate students. It is awarded based on academic achievement, financial need, and contributions to international education on campus.

3. International Transfer Scholarship: International transfer students can apply for this scholarship, which is based on their academic performance at their previous institution. It helps ease the financial burden of transferring to UNT.

4. International Student Emergency Fund: UNT provides this fund to assist international students facing unexpected financial emergencies or hardships.

5. Cultural Scholarships: UNT offers cultural scholarships that recognize and celebrate students' cultural and ethnic backgrounds. These scholarships support diversity and promote cultural awareness on campus.

6. Graduate Assistantships: Many graduate programs at UNT offer assistantship opportunities that include a stipend and tuition benefits. These positions allow international graduate students to gain valuable research or teaching experience while pursuing their degrees.

7. Departmental Scholarships: Some academic departments and colleges within UNT may offer scholarships specific to students in their programs. These scholarships often consider academic achievement and area of study.

8. Athletic Scholarships: UNT offers athletic scholarships to student-athletes who excel in various sports. These scholarships are based on athletic performance and can cover tuition and related expenses.

9. External Scholarships: International students can explore external scholarship opportunities from organizations, governments, and foundations outside of UNT. The International Student Office can provide guidance on finding these scholarships.

10. Private Scholarships: Some private organizations and donors provide scholarships to international students. These scholarships may have specific eligibility criteria and application processes.

It's important to note that scholarship availability and eligibility criteria can change from year to year.

The M.S. in Advanced Data Analytics program at UNT is a cutting-edge offering that equips students with advanced knowledge and skills in data analysis, data mining, and predictive modeling. It is designed to meet the evolving needs of industries where data is a vital asset in making informed decisions.

1. Data Scientists: Graduates of the M.S. in Advanced Data Analytics program often pursue careers as data scientists. They specialize in collecting, processing, and analyzing large datasets to derive insights and trends that drive business decisions.

2. Business Analysts: Many graduates choose to become business analysts, leveraging their data analytics skills to assess business performance, identify opportunities for improvement, and offer data-driven recommendations.

3. Machine Learning Engineers: In industries like artificial intelligence and machine learning, graduates may work as machine learning engineers, building and deploying machine learning models and algorithms.

4. Big Data Engineers: Graduates proficient in handling large datasets may opt for roles as big data engineers, responsible for designing, implementing, and managing big data solutions and infrastructure.

5. Data Architects: Some graduates become data architects, designing and overseeing data systems and databases to ensure data quality, security, and accessibility.

6. Quantitative Analysts (Quants): Graduates with strong mathematical and statistical skills can explore careers as quantitative analysts, working in finance, risk analysis, and investment.

7. Healthcare Data Analysts: The healthcare industry offers opportunities for graduates to work as healthcare data analysts, applying data analytics to improve patient outcomes, cost-effectiveness, and overall healthcare quality.

8. Marketing Analysts: In marketing, graduates may work as marketing analysts, using data to understand consumer behavior, optimize marketing campaigns, and increase ROI.

9. Cybersecurity Analysts: Graduates with a focus on security analytics may pursue careers as cybersecurity analysts, identifying and mitigating security threats through data analysis.

10. Supply Chain Analysts: In logistics and supply chain management, graduates can work as supply chain analysts, optimizing processes and reducing costs through data-driven insights.

11. Consultants: Graduates often become data analytics consultants, offering their expertise to organizations seeking to improve their data strategy and decision-making processes.

12. Research Scientists: Some graduates choose to engage in research and development in academia, government agencies, or private research organizations, contributing to the advancement of data analytics knowledge.