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Teesside University

Teesside University

MSc in Bioinformatics (with Advanced Practice)

Full-time 1 Year

OFFER RESPONSE

10 Days

APPLICATION FEE

0 GBP

Fees Waived Off

BACKLOGS

2 backlogs accepted

POST STUDY WORK

1.5-3 Years

TUITION

17000 GBP
PER YEAR

LIVING/ PER YEAR

15000 GBP
PER YEAR

DURATION

1 Year

INTAKE


Deadline:

COURSE CURRICULUM

The MSc Bioinformatics with Advanced Practice programme combines advanced computational biology education with valuable professional experience, preparing graduates for careers in biotechnology, pharmaceuticals, healthcare research, genomics, and data science. A key feature of the programme is the Advanced Practice in Health and Life Sciences module, completed over a 12-week period and requiring at least 400 hours of professional activity. Students can undertake research, development, employer-led, virtual, or vocational internships aligned with their career goals and academic interests, gaining practical experience while enhancing employability and professional skills through supervision from academic staff and workplace mentors. The Bioinformatics Analysis Techniques and Tools module develops advanced computational and problem-solving abilities by applying modern bioinformatics methods to high-throughput datasets including microarray, next-generation sequencing, and functional genomics studies. Data Analytics provides a strong foundation in statistical methods and biological data interpretation using software packages such as SPSS to support data visualisation and analysis. Genomic Technologies explores cutting-edge developments including next-generation sequencing platforms, genome editing technologies such as CRISPR-Cas systems, pharmacogenomics, personalised medicine, and the ethical issues surrounding these rapidly advancing fields. Students also study Proteomic Technologies, gaining expertise in proteomics, phosphoproteomics, metabolomics, mass spectrometry, and translational biology. Dedicated modules in Python for Bioinformatics and R for Bioinformatics develop programming, scripting, statistical computing, and data visualisation skills using professional development environments such as JupyterLab and RStudio. The programme culminates in a substantial Life Science Research Project undertaken within an active research team, where students use advanced laboratory, database, and computational methodologies to investigate complex biological questions using state-of-the-art facilities at the National Horizons Centre. Together, these modules provide graduates with advanced research expertise, technical competence, and industry experience required for leadership roles within the rapidly expanding bioinformatics and life sciences sectors.

Mode of Study

Full-time

Job Rate

94%

Course Entry Requirements

Review the entry and language criteria.

Choose your language proficiency test

* No IELTS, no TOEFL - this united kingdom college doesn’t require an English test.

Scholarship Details

Details depend on the scholarships and study programs selected

AVG STARTING SALARY

₹47L

for MSc Data Science at University of Edinburgh

PLACEMENT RATE

91%

across top 6 programs

Top recruiting companies

Google

Meta

JP Morgan

Amazon

Microsoft

Stripe

Atlassian

Deloitte

Expected Annual Salary

£37,500 / year

£30K£45K

Total Tuition Fees (1 Year)

£17,000

Total Living Costs

£15,000

Total Investment

£32,000

Years to Payback

0.9 YEARS

We calculate your ROI by dividing your total investment by your expected salary; this shows you exactly when your career starts generating pure profit for you.

Ready to take the next step?

Our counsellors review every application before it goes to the university.

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MSc in Bioinformatics (with Advanced Practice)