The Bioinformatics Minor provides an introduction to molecular genomics, equipping students with the skills to analyze large datasets related to genes and genomes. This field is increasingly important due to the vast amounts of data generated by modern biological research, such as next-generation sequencing. This minor is designed for students pursuing majors in computer science, biochemistry, molecular biology, biology, marine biology, statistics, and neuroscience. It prepares students for careers and further studies in these areas by developing expertise in handling and interpreting 'Big Data'.
The minor requires courses in computer science, calculus, statistics, and genetics, along with either molecular biology or biochemistry. Students will also receive training in using ACENET, a high-performance computing resource. Many courses have prerequisites, so additional courses may be needed beyond the specific minor requirements.
This minor is available to students registered in specific 120 credit hour undergraduate programs. Please refer to the academic calendar for detailed course requirements and prerequisites. In case of any discrepancies, Dalhousie's Academic Calendars are the official reference.
To pursue the Bioinformatics Minor, students must be registered in either a 120 credit hour Bachelor of Computer Science program or a Bachelor of Science program at Dalhousie University. Specific course prerequisites for the minor's curriculum also apply and should be reviewed in the Academic Calendar.
Students must first be enrolled in a 120-credit hour Bachelor of Computer Science or Bachelor of Science program at Dalhousie University. It is recommended to consult the official Dalhousie Academic Calendar and work with an academic advisor to plan course selection and register for the required courses.
The Bioinformatics Minor prepares students for careers and further studies in fields like computer science, biochemistry, molecular biology, biology, marine biology, statistics, and neuroscience. It develops skills in analyzing and interpreting large datasets in bioinformatics.
The curriculum includes courses in computer science, calculus, statistics, and genetics, along with either molecular biology or biochemistry. Students will also receive training in using high-performance computing resources like ACENET.