B.S. in Computer Science

Entry Requirements for Undergraduate programs

Application Fees : US$ 85

1. Academic Qualifications: Prospective undergraduate students are required to have a minimum academic achievement of 75% or above in their previous educational qualifications.

2. English Language Proficiency:  

   • IELTS Overall: A minimum overall band score of 6.5 on the IELTS.
   • TOEFL iBT Overall: A minimum overall score of 79 on the TOEFL iBT.
   • PTE Overall: A minimum overall score of 53 on the PTE Academic.
   • DET Score: A minimum score of 100 on the Duolingo English Test.

Score reporting is required.

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 Bachelor of Science (B.S.) in Computer Science program at the University of North Texas (UNT) prepares students for a wide range of exciting and rewarding career opportunities in the rapidly evolving field of computer science. With a strong foundation in computer science principles, programming languages, algorithms, and software engineering, graduates of the program are well-equipped to succeed in various industries. The B.S. in Computer Science program at UNT opens up a wide range of career opportunities for graduates in industries such as technology, finance, healthcare, government, and more. With their strong technical skills, problem-solving abilities, and adaptability, UNT graduates are well-positioned to succeed in today's competitive job market.

1. Software Developer/Engineer: One of the most common career paths for B.S. in Computer Science graduates is becoming a software developer or engineer. These professionals design, develop, and maintain software applications, systems, and solutions for businesses, organizations, and government agencies. They work in diverse industries such as technology, finance, healthcare, gaming, and e-commerce.

2. Systems Analyst: Systems analysts are responsible for analyzing an organization's computer systems and procedures to improve efficiency and productivity. They assess user requirements, design new systems or modify existing ones, and oversee the implementation of technological solutions. B.S. in Computer Science graduates with strong analytical and problem-solving skills are well-suited for this role.

3. Cybersecurity Specialist: With the increasing prevalence of cyber threats and data breaches, there is a growing demand for cybersecurity specialists. These professionals develop and implement security measures to protect computer networks, systems, and data from unauthorized access, malware, and cyberattacks. B.S. in Computer Science graduates with a focus on cybersecurity can pursue roles such as cybersecurity analyst, ethical hacker, or information security consultant.

4. Data Scientist/Analyst: Data science is a rapidly expanding field that involves analyzing large volumes of data to extract valuable insights and inform business decisions. Data scientists and analysts use statistical techniques, machine learning algorithms, and programming languages to analyze data sets and identify trends, patterns, and correlations. B.S. in Computer Science graduates with strong quantitative skills and knowledge of data analysis tools are in high demand across industries such as finance, healthcare, marketing, and technology.

5. Artificial Intelligence/Machine Learning Engineer: Artificial intelligence (AI) and machine learning (ML) are transforming industries and driving innovation in areas such as autonomous vehicles, natural language processing, image recognition, and predictive analytics. B.S. in Computer Science graduates with expertise in AI and ML algorithms, neural networks, and deep learning frameworks can pursue roles as AI/ML engineers, researchers, or developers, working on cutting-edge projects and technologies.