To apply to the MSBIC, you must have:
Applications will be accepted starting in September for the next Fall  class.
A cumulative grade point average higher than 3.4
Scores from Graduate Record Examination (GRE).
Scores from the Test of English as a Foreign Language (TOEFL). (For Non-Native English speaking students)
If you have previously taken the GRE, your scores will be accepted if they are less than five years old.
If you have previously taken the TOEFL, your scores will be accepted if they are less than two years old.
Your English language test score should indicate proficiency (TOEFL > 100). We have found that English language proficiency has a very large impact on a student’s success with the program.
Submit your current Resume. Outline your education, work experience, publications (if any), scholarships awarded, prizes and honors received, society memberships, and any other extracurricular activities.
Prepare a Statement of Purpose. Type or print neatly a concise one- or two-page statement in this format:
Part I: Briefly state your objective in pursuing a professional graduate degree in MSBIC. Tell us if you have a particular reason for applying to this degree.
Part II: Describe your background in fields particularly relevant to your objective. List here any relevant academic, industrial or commercial experience.
Part III: Include any additional information you wish to supply to the Admissions Committee.
Submit unofficial transcripts from all undergraduate and graduate institutions attended.
Upload three letters of recommendation. The admissions committee prefers, but does not require, letters from both academia and industry. People who recommend you should know you relatively well and should be able to discuss the quality of your work.
To submit the application click here.
Send any off-line material to:
 

Charles Burger
School of Computer Science
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213-3891 USA

Carnegie Mellon’s Master of Science in Biotechnology Innovation and Computation program follows a unique educational paradigm that combines a rigorous computer science education with real-world experience in initiating and operating an entrepreneurial project with external stakeholders. BIC students often become successful entrepreneurs armed with a wealth of practical skills, experience, and concrete value-creation capabilities. Those who choose to take a position with an established company enter the market as professionals trained in the latest generation of computational and data engineering technology and best practices. BIC graduates are perfectly poised to create immediate value in any startup or established organization.

Our students apply techniques from machine learning, big data analytics, data mining and information retrieval to solve important problems in a wide range of domains. They learn to solve these problems by correctly capturing the information need, identifying resources, designing analytic pipelines, coding required modules and integrating emerging technologies into an effective solution. Once they hit the workforce, our graduates can quickly assemble teams, identify challenges and create innovative solutions to problems. BIC students have founded several successful startups from the projects they worked on within the program. For those who did not choose the entrepreneurial path, our graduates boast the highest average starting salaries of any professional master’s program at Carnegie Mellon in 2013, 2014 and 2015, and we currently have a 100 percent placement rate. Our alumni are data scientists, software engineers, and technical executives in the software, manufacturing and bio-science industries.