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The University of Texas at Dallas Master of Science in Bioinformatics and Computational Biology

The University of Texas at Dallas

Master of Science in Bioinformatics and Computational Biology

Richardson, USA

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English

Full time

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Dec 2025

On-Campus

Key Summary

    About : The Master of Science in Bioinformatics and Computational Biology offers a comprehensive understanding of the intersection between biology and data science. This program emphasizes the development of computational techniques and tools for analyzing biological data. Students will gain expertise in areas like genomics, proteomics, and data analysis, equipping them with essential skills for modern biological research and applications.
    Career Outcomes : Graduates can explore diverse career opportunities including positions as bioinformaticians, computational biologists, data analysts in healthcare, research scientists, or roles in pharmaceutical companies. The skills gained in this program are applicable in academic research, biotechnology firms, and other sectors focused on big data in biology.

Introduction

The Master of Science in Bioinformatics and Computational Biology is a program designed to give students a solid foundation in both biological sciences and computational techniques. It covers key topics like molecular biology, genetics, statistics, and computer programming. The curriculum emphasizes practical skills, allowing students to analyze biological data, develop algorithms, and create models to interpret complex biological problems. Students gain experience through coursework, projects, and research that prepare them for careers in research labs, biotechnology companies, or further academic study.

This program also provides flexibility with part-time and full-time options, making it suitable for a range of students, including working professionals. It typically requires coursework and a capstone or thesis project, which lets students apply what they’ve learned to real-world problems. The program’s goal is to equip students with both theoretical knowledge and hands-on skills, enabling them to contribute to advances in medicine, genomics, and personalized health. Overall, it aims to prepare graduates for diverse roles in the rapidly evolving fields of bioinformatics and computational biology.

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