M.S. in Data Engineering

Denton, Texas

 

INTAKE: Fall, Spring

Program Overview

The Master of Science (M.S.) in Data Engineering program at the University of North Texas (UNT) is a distinguished and comprehensive offering designed to prepare students for influential and rewarding careers in the field of data engineering. This program is recognized for its academic excellence and holds the prestigious STEM (Science, Technology, Engineering, and Mathematics) designation, underlining its rigorous focus on science and technology in the realm of data engineering. Pursuing an M.S. in Data Engineering at the University of North Texas, with its STEM designation, provides a strong foundation for influential and rewarding careers in the dynamic field of data engineering. UNT's program, which emphasizes science, technology, engineering, and mathematics, equips students with the knowledge and skills needed to design, develop, and maintain data infrastructure and systems effectively, making them valuable assets in organizations that rely on data for informed decision-making and innovation.Pursuing an M.S. in Data Engineering at the University of North Texas opens the door to a wide range of influential and rewarding career opportunities in the dynamic field of data engineering. UNT's program equips students with the knowledge and skills needed to design, develop, and maintain data infrastructure and systems effectively, making them valuable assets in organizations that rely on data to make informed decisions and drive innovation.

Curriculum:

  1. STEM Designation: The M.S. in Data Engineering program at UNT proudly holds a STEM designation, reflecting its rigorous science and technology-based curriculum that aligns with industry and government standards for data engineering education.

  2. Comprehensive Curriculum: The program offers a comprehensive curriculum covering a wide range of subjects, including database management, data modeling, big data technologies, and data pipeline development. The STEM designation highlights the program's emphasis on science, technology, engineering, and mathematics.

  3. Hands-On Experience: Students gain practical experience through hands-on projects, real-world data engineering challenges, and industry collaboration. This practical approach aligns with STEM principles, ensuring students are well-prepared for real-world data engineering tasks.

  4. Data Engineering Faculty Experts: UNT's faculty members are experienced data engineering professionals and researchers who provide mentorship, guidance, and valuable insights to students. Their expertise in STEM fields enhances the program's quality.

  5. Interdisciplinary Approach: The program encourages an interdisciplinary approach, allowing students to work across STEM fields to address complex challenges in data engineering, which is an ever-evolving and multidisciplinary field.

  6. Industry Collaboration: UNT promotes collaboration with industry partners, providing students with opportunities to work on real-world data engineering projects and gain practical insights from professionals in the field.

Pollster Education

Location

Denton, Texas

Pollster Education

Score

IELTS: 6.5

Pollster Education

Tuition Fee

USD 17334

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.                                                                                                                 
  3. Standardized Test Scores:

    • GRE: A  requirement is a minimum GRE score of 303. 

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 Master of Science (M.S.) in Data Engineering program at UNT is a comprehensive and esteemed offering designed to prepare students for influential and rewarding careers in the field of data engineering. This program equips students with the knowledge, skills, and practical experience required to design, develop, and maintain data infrastructure and systems.

  1. Data Engineer: Graduates often pursue careers as data engineers, specializing in designing and constructing data pipelines, data warehousing, and ETL (Extract, Transform, Load) processes.

  2. Database Administrator: Database administrators manage, optimize, and secure databases. They ensure data integrity and availability while maintaining the performance of database systems.

  3. Big Data Engineer: Big data engineers focus on the development and maintenance of large-scale data processing systems, often involving distributed and cloud-based technologies.

  4. Data Architect: Data architects design the overall structure and framework for data systems, including databases, data lakes, and data warehouses.

  5. Data Analyst: Some graduates choose to work as data analysts, using their skills to interpret data, perform analysis, and provide insights that support decision-making.

  6. Machine Learning Engineer: Machine learning engineers work with data to develop and implement machine learning models and algorithms for predictive analytics.

  7. Business Intelligence Developer: Business intelligence developers create reports, dashboards, and data visualization solutions to assist organizations in making informed decisions based on data.

  8. Cloud Data Engineer: Cloud data engineers specialize in building data solutions within cloud platforms such as AWS, Azure, or Google Cloud.

  9. Data Scientist: Data scientists leverage their data engineering knowledge to collect, clean, and prepare data for analysis and model development.

  10. Data Warehousing Specialist: Data warehousing specialists focus on the design and management of data warehousing solutions, ensuring that data is stored and organized efficiently for easy access.


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