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University of Pittsburgh    
2024-2025 Graduate & Professional Studies Catalog 
    
 
  Nov 27, 2024
 
2024-2025 Graduate & Professional Studies Catalog

Computational Biomedicine and Biotechnology (MS)


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The Computational Biomedicine and Biotechnology (CoBB) Master of Science trains students in translating cutting-edge computational technologies into real-world advances in biomedicine and biotechnology. Seated in the School of Medicine’s Department of Computational and Systems Biology, the program focuses on the interface between computer science and applied biology. Our courses are well-suited for students with a variety of backgrounds, such as those in biological sciences or quantitative disciplines. Students in the CoBB program will learn to develop and apply novel computational, mathematical, statistical, and in silico techniques to meet current challenges in biotechnology. Our graduates are equipped with the necessary skills for successful biomedical data science and biocomputing technology careers in the health care and biotechnology industry, government, and academia.

Executive Director:

Mert Gur, PhD

Department of Computational and Systems Biology

832 Murdoch I Building

3420 Forbes Avenue

Pittsburgh, Pennsylvania 15213-3203

412-648-3333

gurmert@pitt.edu

 

Master’s Program Administrator:

Amanda L. Axelson, MBA

Department of Computational and Systems Biology

3420 Forbes Avenue

412-648-5657

ama251@pitt.edu

cobb@pitt.edu

 

Executive Committee:

Mert Gur, PhD

Joseph Ayoob, PhD

James Faeder, PhD

Frederick (Fritz) Roth, PhD

 

Program Website:

www.csb.pitt.edu/cobb/

Admissions


CoBB welcomes students from various backgrounds, including but not limited to life science, computer science, physical science, mathematics and statistics, and engineering majors, students with interdisciplinary or multi-disciplinary backgrounds.

 

Application

Required Materials:

  • The Online Application
  • Statement of Purpose
  • Three letters of Recommendation
  • Unofficial Transcripts
  • Unofficial TOEFL Scores/IELTS/Duolingo Scores (for international applicants)
  • Application Fee

Financial Assistance


Financial guidance is available through the University of Pittsburgh Office of Admissions and Financial Aid: https://financialaid.pitt.edu/graduate-students/. All students are responsible for their own tuition.

 

Degree Requirements


To receive the CoBB MS, all students are required to complete a minimum of 30 credits of masters-level coursework and to maintain an overall GPA of 3.0 or higher. Additionaly information can be found in the Student Handbook.

Curriculum


  • At least four research credits of independent study with a research mentor
  • A summer internship or additional directed study, worth three credits
  • 3 credits of Fundamentals of Computational Biology
  • A Professional Development Course and a Faculty Seminar course
  • One course (taken or waived) from each of the six core areas of study
    1. Data Science, Programming, Probability, and Statistics
    2. Artificial Intelligence, Machine Learning and Bioimage Analysis
    3. Genomics and Precision Medicine
    4. Molecular and Cell Systems Modeling
    5. Drug Discovery and Quantitative Pharmacology
    6. Specialized Courses, based on the student’s interests, can be selected from a wide range of offerings at the University of Pittsburgh, including the Schools of Medicine, Engineering, and Health Sciences, among others. 

Directed Study


Gaining hands on experience in solving problems in computational biology is an essential part of CoBB training. Each student is therefore required to take a minimum of 4 credits of directed study with a University of Pittsburgh faculty member. Students are expected to select a research mentor for the directed study in their first semester, and to complete the research requirement in the second and/or third semesters.

Internship


To gain experience in the professional application of computational biology, students are encouraged to participate in a 2-to-3 month summer internship at a company of their choosing. Acceptable internship sites include industrial labs, biotech/pharma companies, and governmental organizations.

Students will present a written report with well-defined structure and content at the end of their internship to summarize their experience and the skills they acquired during their experiential training, and to make recommendations for future work. They will also make an oral presentation to share their experience with others.

Completion of Degree


The program is structured in such a way that students can finish their degree within 12-20 months, depending on the background of the student. To complete the degree in one year, students must demonstrate proficiency in programming, calculus and linear algebra.

 

For more information on the program, please visit www.csb.pitt.edu/cobb/

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