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M.S. in Data Science - Computational Biology and Bioinformatics

Romeoville, Illinois

 

INTAKE: Jan & Aug

Program Overview

Lewis University stands as a beacon of innovation in education, offering a cutting-edge Master of Science in Data Science - Computational Biology and Bioinformatics program. This program holds a coveted STEM designation, highlighting its commitment to providing rigorous education in Science, Technology, Engineering, and Mathematics.Lewis University's M.S. in Data Science - Computational Biology and Bioinformatics program is a pioneering blend of data science and life sciences, opening doors to a myriad of impactful career prospects. Graduates equipped with skills at the intersection of data science and computational biology are well-prepared to make significant contributions to scientific research, healthcare, and biotechnology. Lewis University's STEM-designated M.S. in Data Science - Computational Biology and Bioinformatics program is a testament to the institution's commitment to excellence in interdisciplinary education. By combining the power of data science with the intricacies of computational biology and bioinformatics, the program prepares students for impactful careers at the forefront of scientific innovation.

Curriculum:

  1. STEM Designation: The M.S. in Data Science - Computational Biology and Bioinformatics program at Lewis University proudly holds a STEM designation. This signifies the program's alignment with the high academic standards set for Science, Technology, Engineering, and Mathematics education.

  2. Interdisciplinary Curriculum: The program features an interdisciplinary curriculum that seamlessly integrates data science principles with the complexities of computational biology and bioinformatics. Students gain a comprehensive understanding of how data science techniques can be applied to solve intricate problems in the life sciences.

  3. Advanced Data Science Techniques: Students delve into advanced data science techniques, including machine learning, data mining, and statistical analysis. The curriculum is tailored to empower students with the skills needed to derive meaningful insights from large and complex biological datasets.

  4. Computational Biology Frameworks: Emphasizing computational biology frameworks, the program equips students with the tools to analyze biological data, model biological systems, and extract valuable information for applications in genomics, proteomics, and systems biology.

  5. Bioinformatics Algorithms: The curriculum covers bioinformatics algorithms, allowing students to explore the algorithms and computational models essential for processing biological data. Students learn how to design algorithms tailored to the specific challenges of bioinformatics.

  6. Biological Database Management: Students gain proficiency in managing biological databases, a crucial skill in the era of big data in life sciences. This includes understanding database structures, data integration, and optimizing queries for efficient data retrieval.

  7. Hands-On Projects: The program emphasizes hands-on projects and practical applications. Students engage in real-world scenarios, working on projects that mirror challenges encountered in the field. This practical approach enhances their problem-solving and critical-thinking skills.

  8. Collaboration with Industry Experts: Students have opportunities to collaborate with industry experts, participating in seminars, workshops, and collaborative projects. This exposure allows them to gain insights into the latest trends and challenges in the intersection of data science and computational biology.

  9. Capstone Project: Culminating the program, students undertake a capstone project that integrates their knowledge and skills. This project provides them with a platform to showcase their proficiency in applying data science to address complex problems in computational biology and bioinformatics.

Pollster Education

Location

Romeoville, Illinois

Pollster Education

Score

IELTS: 6.5

Pollster Education

Tuition Fee

USD 16200

Entry Requirements for Postgraduate Programs

  1. Academic Qualifications:

    • Applicants are required to have completed an undergraduate degree or its equivalent from a recognized institution. The minimum academic requirement for postgraduate admission at Lewis University is a bachelor's degree with a minimum GPA of 60%.
       

  2. English Language Proficiency:

    • IELTS (International English Language Testing System): A minimum overall score of 6.5 is required, with no individual band score falling below 6.
    • DET (Duolingo English Test): Lewis University requires a minimum DET score of 105.
    • PTE (Pearson Test of English): A minimum score of 52 in the PTE is the requirement.
    • TOEFL iBT (Test of English as a Foreign Language - Internet-Based Test): The university requires a minimum overall score of 79 on the TOEFL iBT.

Lewis University is committed to providing financial support to international students through a variety of scholarships and awards. These scholarships are designed to recognize academic excellence, talent, and contributions to the university community. 

  1. International Student Academic Scholarships: Lewis University offers academic scholarships to international students based on their academic achievements. These scholarships are typically merit-based and may cover a significant portion of tuition costs.

  2. Cultural Diversity Scholarship: The Cultural Diversity Scholarship is awarded to international students who have demonstrated a commitment to promoting diversity and inclusivity on campus. It recognizes their efforts to create a welcoming and inclusive environment.

  3. Global Citizen Scholarship: The Global Citizen Scholarship is designed to support international students who have a strong track record of community service and volunteerism. It acknowledges their dedication to making a positive impact in the local and global community.

  4. Athletic Scholarships: International students with exceptional athletic abilities may be eligible for athletic scholarships if they participate in varsity sports at Lewis University. These scholarships are typically offered to talented student-athletes.

  5. Major-Specific Scholarships: Some academic departments and programs at Lewis University offer major-specific scholarships for international students. These scholarships are often based on academic performance within a particular field of study.

  6. Leadership Scholarships: Lewis University values leadership and may award scholarships to international students who have demonstrated outstanding leadership qualities in their academic or extracurricular activities.

  7. Transfer Student Scholarships: Transfer students from international institutions may be eligible for scholarships designed to ease their transition to Lewis University. These scholarships can help reduce the cost of their education.

  8. Need-Based Financial Aid: Lewis University is committed to assisting international students with demonstrated financial need. Students can apply for need-based financial aid to help cover tuition and living expenses.

  9. Graduate Assistantships: Graduate students at Lewis University may have the opportunity to secure graduate assistantships. These positions often come with a stipend, tuition remission, and valuable professional experience.

  10. External Scholarships: Lewis University encourages international students to explore external scholarship opportunities from organizations, foundations, and government agencies. The university's scholarship office can provide guidance on finding these opportunities.

It's important to note that scholarship availability and criteria may vary each academic year.

Lewis University offers a cutting-edge Master of Science in Data Science - Computational Biology and Bioinformatics program, blending data science expertise with the intricate fields of computational biology and bioinformatics. Graduates from this program unlock a realm of diverse and promising career prospects at the intersection of data science and life sciences.

  1. Bioinformatics Analyst: Graduates can pursue roles as bioinformatics analysts, utilizing their data science skills to interpret biological data. They analyze genomics, proteomics, and other biological datasets to derive meaningful insights.

  2. Computational Biologist: Careers as computational biologists involve developing algorithms and computational models to understand biological systems. Graduates may work on projects related to genomics, systems biology, and evolutionary biology.

  3. Data Scientist in Healthcare: With a focus on computational biology, graduates may contribute to healthcare advancements as data scientists. They analyze patient data, optimize treatment protocols, and support precision medicine initiatives.

  4. Biotechnology Researcher: Graduates can delve into biotechnology research, applying data science techniques to enhance understanding and innovation in areas such as drug discovery, genetic engineering, and personalized medicine.

  5. Pharmaceutical Data Analyst: Careers in pharmaceutical data analysis involve leveraging computational methods to process and analyze data related to drug development. Graduates contribute to optimizing drug discovery pipelines.

  6. Genomic Data Engineer: Graduates may choose roles as genomic data engineers, specializing in the management and processing of large-scale genomic datasets. They contribute to projects aimed at understanding genetic variations and their implications.

  7. Research Scientist - Systems Biology: With a focus on systems biology, graduates can pursue roles as research scientists. They explore the interactions within biological systems, integrating data to gain a holistic understanding of complex biological processes.

  8. Biomedical Informatics Specialist: Careers in biomedical informatics involve applying data science techniques to biomedical research. Graduates contribute to projects that aim to improve healthcare outcomes and enhance our understanding of diseases.

  9. Health Informatics Consultant: Graduates may explore roles as health informatics consultants, advising healthcare organizations on leveraging data to enhance patient care, optimize workflows, and improve overall operational efficiency.

  10. Academic Researcher: Graduates interested in academia can contribute to scientific research as academic researchers. They may work in universities, research institutions, or collaborative projects that require expertise in both data science and computational biology.

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