Sample Schedules-M.S. in Computational Biology - Carnegie Mellon University

Sample Student Schedules

View the Schedule of Classes for descriptions of all courses not offered in the Biological Sciences and Computational Biology.

Priyanka J Raja 

Priyanka Raja

Fall 2015

02-613 Algorithms and Advanced Data Structures (12 u)
03-709 Applied Cell and Molecular Biology (12 u)
03-700 MS Research for Credit (6 u)
02-602 Professional Issues in Computational Biology (1 u)
21-127 Concepts of Mathematics (10 u)
02-702 Computational Biology Seminar (3 u)

Spring 2016

02-740 Bioimage Informatics (12 u)
03-713 Bioinformatics Data Integration Practicum (6 u)
10-601 Machine Learning (12 u)
02-602 Professional Issues in Computational Biology (1 u)
02-702 Computational Biology Seminar (3 u)
18-791 Methods in Medical Image Analysis (12 u)

Summer 2016

Intern at the Broad Institute

Fall 2016

02-712: Computational Methods for biological Modeling and Simulation (12 u)
02-750: Automation of Biological Research: Robotics and Machine Learning (12 u)
11-676: Big Data Analytics (12 u)
 

"I chose to pursue the MS. in Computational Biology program at Carnegie Mellon to leverage its unique interdisciplinary and highly collaborative environment. I came in with a background in electrical and biomedical engineering, determined to enhance my computing skills and apply them to solve problems in biology. The program's course curriculum was aptly structured to give me a strong base in computational biology as well equip me with other ancillary computational and mathematical skills that would ensure my success in this field. Flexibility in the program allowed me to take courses from several disciplines such as statistics, biology, mathematics, computer science and even robotics as well as pursue research in the field of bioimage informatics. My academic advisors were hands on and assisted me in channeling my energies toward my academic pursuits and professional development. The academic rigor of the program and the highly competitive environment at Carnegie Mellon prepared me for a challenging two month summer research internship at the Broad Institute in Cambridge. There, I worked at the Imaging platform to develop methods to combine phenotypic information in gene expression profiles and microscopy images to predict chemical compound activity in high throughput screens. I believe this program has truly molded me into a strong professional and served as a launch-pad for my career interests in the field of computational biology." - Priyanka Raja


Tim Majarian Tim Majarian

Fall 2015

02-601 Programming for Scientists (12 u)
02-613 Algorithms and Advanced Data Structures (12 u)
03-709 Applied Cell and Molecular Biology (12 u)
02-602 Professional Issues in Computational Biology (1 u)

Spring 2016

02-604 Fundamentals of Bioinformatics (12 u)
02-701 Computational Genomics (12 u)
10-701 Machine Learning (12 u)
02-602 Professional Issues in Computational Biology (1 u)

Summer 2016

Researcher in the Murphy lab, CMU

Fall 2016

02-712: Computational Methods for biological Modeling and Simulation (12 u)
02-750: Automation of Biological Research: Robotics and Machine Learning (12 u)
36-700: Probability and Mathematical Statistics I
 

"My experience prior to joining the MSCB program at CMU was somewhat uncommon. I studied pure mathematics and biology at the University of Vermont, graduating in 2013 and subsequently pursuing a drastically different career, that of a restaurant cook. Two years of cooking brought me from Vermont to Oregon and finally Pittsburgh to Legume Bistro, a CMU favorite just a few blocks from campus. After these years, I decided to change direction and pursue computational biology.

Along with coursework, research has been essential in cementing the material presented in the MSCB program. During my first year, I worked in Dr. Robert Murphy's lab primarily on generative modeling of protein localization from microscopy images. I stayed to complete a summer internship with Dr. Murphy, which led to multiple publications and irreplaceable collaborations with professors and students at CMU, as well as neighboring universities.

The MSCB program thus far has given me the foundation necessary for success in computer science and biology, but more importantly, at the intersection of the two fields. Opportunities outside the classroom have been ever present and key to my education, a feature that sets CMU apart from the rest." - Tim Majarian


Semester

Example Course Schedule

Fall Year 1

Programming for Scientists; Algorithms and Advanced Data Structures; Applied Cell and Molecular Biology; Professional Issues in Computational Biology (at least 36 units)

Spring Year 1

Math/Bio background; Breadth; Depth; Professional Issues in Computational Biology (at least 36 units)

Fall Year 2

Math/Bio background; Breadth; Depth; Elective (at least 36 units)

Spring Year 2

Breadth; Depth; Optional research and/or electives (at least 36 units)