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Texas State University

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Texas

United States

In today's fast-paced digital landscape, the field of computer science stands at the forefront of innovation and technology. The Master of Science in Computer Science (Non-thesis) program at Texas State University is meticulously designed to equip students with the cutting-edge skills necessary to excel in various domains, ranging from software development to advanced data analytics. Over the course of 24 months, students engage with a comprehensive curriculum that not only enhances their technical competencies but also fosters critical thinking, problem-solving, and collaborative abilities essential for the modern workforce.

This program offers a unique blend of theoretical knowledge and practical application, ensuring that graduates emerge as competent professionals ready to tackle real-world challenges. The curriculum comprises advanced courses that cover vital topics in computer science, such as Data Mining, Machine Learning, Cryptography, and Distributed Systems. Each course is crafted to provide students with a deep understanding of the subject matter while encouraging hands-on experience through projects and labs. This invaluable practical exposure is vital as it allows students to apply their learning in a controlled environment, preparing them for the complexities of the tech industry.

The faculty at Texas State University consists of experienced professionals and scholars who are deeply invested in the success of their students. They employ innovative teaching methodologies that emphasize not just rote learning but the application of knowledge in practical scenarios. Faculty members are active researchers themselves, allowing them to bring the latest industry trends and academic advancements into the classroom. This connection between research and teaching provides students with a well-rounded learning experience, ensuring they are well-prepared for both academic and professional pursuits.

Moreover, the program fosters a collaborative environment that encourages networking and the exchange of ideas among students. With a diverse cohort, students are exposed to various perspectives and methodologies, enriching their educational journey. The program is designed to accommodate both full-time and part-time students, allowing for flexibility in managing coursework alongside professional commitments. This adaptability is particularly appealing for working professionals looking to enhance their qualifications without sacrificing their current roles.

The university also emphasizes research opportunities, offering students access to state-of-the-art laboratories and resources essential for exploration and experimentation. Students can engage in groundbreaking research projects under the guidance of faculty mentors, contributing to advancements in fields like artificial intelligence, cybersecurity, and human-computer interaction. This hands-on experience not only enhances students' understanding but also enriches their resumes, making them more attractive candidates in an increasingly competitive job market.

Why Study Master of Science in Computer Science (Non-thesis) at Texas State University

  • Comprehensive and cutting-edge curriculum that blends theoretical knowledge with practical application.
  • Experienced faculty members who are both educators and active researchers in the field.
  • Access to state-of-the-art research facilities and resources.
  • Flexible learning options designed for both full-time and part-time students.
  • Strong industry connections that facilitate internships and career opportunities.
  • Diverse student body that enriches the learning environment through varied perspectives.
  • Robust alumni network that provides support and guidance in career advancement.

Upon graduation, students can expect to enter a myriad of career pathways, with roles such as Software Engineer, Data Scientist, Project Manager, and Cyber Security Engineer among the many exciting job opportunities available. The median base salary for graduates from this program is approximately $50,424 annually, reflecting the high demand for skilled professionals in the tech industry. Our alumni have successfully navigated their way into leading tech companies, government organizations, and educational institutions, showcasing the program's effectiveness in preparing students for the workforce.

The program also boasts strong industry connections, facilitating numerous internship and job placement opportunities. Collaborations with local businesses and tech giants provide students with a platform to gain experience and build their professional networks before graduation. These connections prove vital for students as they transition from academic life to their careers, paving the way for successful job placements and fulfilling careers.

As for the admission requirements, prospective students are expected to submit a completed application along with essential documents. This includes a detailed resume, a statement of purpose, and three letters of recommendation. Additionally, students are required to present standardized test scores from the GRE, alongside proficiency in English demonstrated through tests such as the IELTS, PTE, or TOEFL. The application fee is set at $90, and the deadline for submission for the next intake is June 1st, 2024.

In summary, the Master of Science in Computer Science (Non-thesis) program at Texas State University is more than just an academic qualification; it is a transformative experience that prepares students for the demands of the digital age. With its innovative curriculum, dedicated faculty, robust research opportunities, and strong industry ties, this program stands as a gateway to a successful career in one of the most dynamic fields today. Whether you aspire to be a leader in technology or a skilled specialist in a specific domain, Texas State University's Master of Science in Computer Science equips you with the tools you need to succeed in your chosen path.

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Total Tuition Fees

$27,972

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Duration

24 Months

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Intake

Fall ( Sept - Nov )

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Intake

Spring ( Apr - June )

Class Profile

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Class Size

25

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Average Age

27

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Average Work Experience

3 Years

Diversity

Asian:

5%

Black or African American:

8%

Two or more races:

7%

American Indian or Alaska Native:

1%

Hispanic or Latino:

43%

White:

37%

Career Outcomes

Prospective Job Roles

Product Manager

Software Engineer

Solutions Architect

DevSecOps Engineer

Data Scientist

Business Analyst

Project Manager

IT Analyst

QA Engineer

Cyber Security Engineer

Consultant

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • IELTS

    6.5

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  • PTE

    52

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  • TOEFL

    78

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  • DUOLINGO

    110

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Standardised Test Score

  • GRE

    286

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Application Requirements

Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.

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Application Fee: 90

    • intake

      GRE

    • intake

      Resume

    • intake

      Statement of Purpose

    • intake

      General LOR

    • intake

      General LOR

    • intake

      General LOR

    Application Deadlines

    Standard Deadline
    SpringOct 1, 2023
    FallJun 1, 2024

    Fees and Funding

    intake

    Tuition Fees

    $27,972 / year

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    Overall Cost

    $57,972 / year

    FAQs

    • Admission Requirements

      To apply for the Master of Science in Computer Science (Non-thesis) program at Texas State University, prospective students must submit the following:

      1. A completed application form.
      2. A detailed resume outlining academic and professional experience.
      3. A statement of purpose that articulates your goals and motivations for pursuing this degree.
      4. Three letters of recommendation from individuals who can speak to your qualifications.
      5. Standardized test scores from the GRE.
      6. Proof of English proficiency, which can be demonstrated through tests such as IELTS, PTE, or TOEFL.

      Additionally, there is a non-refundable application fee of $90, and the deadline for submission for the next intake is June 1st, 2024.

    • Program Structure

      The Master of Science in Computer Science (Non-thesis) program is designed to be completed over a period of 24 months. The curriculum is comprehensive and includes advanced courses covering essential topics such as:

      • Data Mining
      • Machine Learning
      • Cryptography
      • Distributed Systems

      These courses emphasize both theoretical knowledge and practical application, ensuring that students gain hands-on experience through various projects and labs.

    • Teaching Methods

      The faculty at Texas State University utilize innovative teaching methodologies that focus on applying knowledge rather than rote learning. Faculty members are not only educators but also active researchers in the field, which allows them to incorporate the latest industry trends and academic advancements into their teaching. This connection between research and education enhances the overall learning experience for students, preparing them for both academic and professional challenges.

    • Program Highlights

      Key highlights of the program include:

      • A comprehensive curriculum that merges theoretical knowledge with practical application.
      • Experienced faculty who are both educators and active researchers.
      • Access to state-of-the-art laboratories and research facilities.
      • Flexible learning options for both full-time and part-time students.
      • Strong connections with industry leaders for internships and job placements.
      • A diverse student body that enriches the educational experience through varied perspectives.
      • A robust alumni network for career advancement support.
    • Career Prospects

      Graduates of the Master of Science in Computer Science (Non-thesis) program can anticipate entering a variety of career pathways. Potential job roles include:

      • Software Engineer
      • Data Scientist
      • Project Manager
      • Cyber Security Engineer

      The median base salary for graduates is approximately $50,424 annually, reflecting the high demand for skilled professionals in the tech industry. Alumni have successfully found positions in leading tech companies, government organizations, and educational institutions.

    • Networking and Collaboration

      The Master of Science in Computer Science program fosters a collaborative learning environment that encourages networking and the exchange of ideas among students. With a diverse cohort, students are exposed to various perspectives and methodologies, enriching their educational journey. Such collaboration is vital for building professional relationships that can benefit students in their future careers.

    • Research Opportunities

      The program emphasizes research and provides students with access to state-of-the-art laboratories and resources. Students can engage in groundbreaking research projects under the guidance of faculty mentors, contributing to advancements in areas like artificial intelligence, cybersecurity, and human-computer interaction. This hands-on research experience enhances students' understanding and improves their resumes, making them more competitive in the job market.

    • Suitability for Working Professionals

      Yes, the program is designed to accommodate both full-time and part-time students, providing flexibility in managing coursework alongside professional commitments. This adaptability makes it particularly appealing for working professionals looking to enhance their qualifications without sacrificing their current roles.

    • Job Placement Support

      The Master of Science in Computer Science program has strong industry connections that facilitate numerous internship and job placement opportunities. Collaborations with local businesses and tech giants provide students with platforms to gain experience and build professional networks prior to graduation. These connections are crucial as they help students transition smoothly from academic life to their careers, paving the way for successful job placements.

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