Master of Science in Computer Science, The University of Texas at Austin

Austin, Texas

24 Months

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About this course

This online master's program in computer science from UT Austin is designed to equip students with essential CS skills that are crucial in today’s technology-driven industries. It offers foundational coursework that can be directly applied to careers in fields like technology, finance, and healthcare. The program provides rigorous training through courses taught by experienced faculty, many of whom are award-winning researchers. With a curriculum that blends core topics and electives aligned with industry demand, students can tailor their education to their interests while gaining valuable practical knowledge.

Why this course is highly recommended

This course is highly recommended because it offers a top-ranked CS education from UT Austin at an affordable price of just over $10,000. The curriculum combines fundamental theories with practical applications, taught by leading faculty. Students gain skills in cutting-edge topics that are in high demand across industries. Its flexible online format makes it accessible for working professionals or international students seeking advanced CS education without the need to relocate.

Specialisation

The program includes elective courses focusing on high-demand areas such as deep learning, machine learning, natural language processing, reinforcement learning, algorithms, quantum information science, and parallel systems. These electives allow students to deepen their expertise in specific fields of computer science, enabling them to specialize in areas like AI, deep learning, quantum computing, or systems.

Course fees

Application fees

0.00L

1st year tuition fees

Living cost

Degree requirements

The degree requires the completion of 30 credit hours, consisting of nine hours of required courses and 21 hours of electives. Students must complete a total of 10 courses, each accounting for 3 credit hours. To fulfill the required coursework, students must select one course from each of the Theory, Systems, and Applications categories, ensuring a balanced mastery of core and applied topics.

English language test

DUOLINGO

IELTS

6.5

TOEFL

PTE

Career prospects

Graduates of this program will be well-equipped for careers in areas such as artificial intelligence, machine learning, computer vision, natural language processing, algorithms, quantum computing, and systems engineering. The curriculum’s focus on industry-relevant skills prepares students for roles in research, software development, data analysis, and innovative tech solutions across various sectors.

FAQs

What are the prerequisites for this program?

The information provided does not specify prerequisites, but students should have a background in linear algebra, algorithms, and programming to succeed in the coursework.

Are international students eligible?

Yes, international students can enroll; however, fees may vary, and visa procedures should be considered.