DPT: Bioinformatics (MSc) (PTMSCBIOIN1F)

You are not allowed to take more than a total of 30 credits below level 11.

An alternative appropriate course may be substituted only with the permission of the Programme Director

Compulsory courses

Bioinformatics Programming and System Management

Must be taken during Semester 1

Statistics and Data Analysis

Must be taken during Semester 1

Research Proposal (Bioinformatics)

Must be taken during Semester 2

MSc Dissertation (Bioinformatics)

Must be passed at 50% and taken during Block 5 (Sem 2) and beyond

Course options

NOTE: If a student wishes to take a course not listed below, then they should contact the Programme Director to discuss.

You may take ONE of the following courses:
- INFR11211 Applied Machine Learning (Semester 1)
- INFD11005 Introductory Applied Machine Learning (Semester 2)
- MATH11205 Machine Learning in Python (Semester 2)
To take any of these three machine learning courses you must have experience with linear algebra, basic calculus, stats, and programming. If you are interested in these courses, then please just email the Programme Director (al.ivens@ed.ac.uk) to discuss your experience.

For Bioinformatics students, the following courses cannot be taken as "Class Only":
PGBI11130 Biological Structure and Drug Function (Semester 2)
INFR11211 Applied Machine Learning (Semester 1)
INFD11005 Introductory Applied Machine Learning (Semester 2)

Selected courses must be taken during Semester 1

Applied Machine Learning

Quantitating drug binding

Information Processing in Biological Cells

Using R for Data Science

Biological Databases

AND

NOTE: If a student wishes to take a course not listed below, then they should contact the Programme Director to discuss.

The following courses are strongly recommended as optional courses:
PGBI11057 Bioinformatics Algorithms
PGBI11040 Functional Genomic Technologies
BILG11004 Next Generation Genomics

You may take ONE of the following courses:
- INFR11211 Applied Machine Learning (Semester 1)
- INFD11005 Introductory Applied Machine Learning (Semester 2)
- MATH11205 Machine Learning in Python (Semester 2)
To take any of these three machine learning courses you must have experience with linear algebra, basic calculus, stats, and programming. If you are interested in these courses, then please just email the Programme Director (al.ivens@ed.ac.uk) to discuss your experience.

For Bioinformatics students, the following courses cannot be taken as "Class Only":
PGBI11130 Biological Structure and Drug Function (Semester 2)
INFR11211 Applied Machine Learning (Semester 1)
INFD11005 Introductory Applied Machine Learning (Semester 2)

Selected courses must be taken during Semester 2

Next Generation Genomics

Introduction to website and database design

Metagenomics

Technology Entrepreneurship and Commercialisation

Software Development

Introductory Applied Machine Learning

Machine Learning in Python

Functional Genomic Technologies

Bioinformatics Algorithms

Practical Systems Biology

Comparative and Evolutionary Genomics