The Biotechnology Innovation and Computation Program
About the Program
The M.S. in Biotechnology Innovation and Computation (MSBIC) is a program
within the School of Computer Science at Carnegie Mellon and is offered
jointly through the Language Technologies Institute (LTI) and the
Computational Biology Department. This program is designed to educate
leaders in applying software and computing technologies to create innovative
solutions for the biotechnology, pharmaceutical and health care industries.
Students learn to plan, design, build and deliver innovative solutions for
these industries utilizing data mining, information retrieval, machine
learning, machine translation, computational linguistics, and computational
biology technologies. As these industries are rapidly evolving, there is a
great need for leaders who can envision, design, plan and deliver solutions
that integrate emerging technologies into effective business solutions.
The program is designed for incoming students who have a strong desire to
innovate and an appropriate background in computer science or engineering.
Our integrated curriculum includes course work and
case studies designed around current challenge areas related to the
biotechnology, pharmaceutical and health care industries. Students learn how
to be forward-thinking by evaluating emerging trends, technologies and
opportunities in addition to developing a variety of technical and
scientific skill sets. Students in the program will work closely with
industry advisors and sponsors to develop innovative and relevant solutions
to real-world problems. Our approach combines academic learning and industry
connections to develop practical experiences with an emphasis in the
creation of innovative solutions.
The MSBIC program is designed for individuals with a degree in Computer Science, Computer Engineering, Bioinformatics, or a related scientific or technical discipline.
To apply to the MSBIC, you must have:
- Applications will be accepted starting mid-September 2015 for admission to the Fall 2016 class.
- A cumulative grade point average higher than 3.5
- Scores from Graduate Record Examination (GRE). Send your scores to the School of Computer Science, Carnegie Mellon University; Institute Code: 2074, Department Code: 0402.
- Scores from the Test of English as a Foreign Language (TOEFL). (For Non-English speaking students) Send your scores directly to Carnegie Mellon University - School of Computer Science; Institutional Code: 4256; Departmental Code: 78. We also accept scores from the International English Language Testing System (IELTS).
- Please ensure that the GRE and TOEFL scores reach us before the application deadline. No application will be considered complete until we have received these scores.
- 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 or IELTS, 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 transcripts from all undergraduate and graduate institutions attended. Transcripts should be in an official sealed envelope. The transcript may be mailed with your application or sent directly from the institution to the program coordinator address below.
- 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.
- Submit the application. Send any off-line material to:
School of Computer Science
Carnegie Mellon University
5000 Forbes Avenue
Pittsburgh, PA 15213-3891 USA
Please make certain that all items listed above and any other materials not included with your application reach the Admissions Committee by the deadline.