
Full-time 1 Year
Sep 2027
OFFER RESPONSE
10 Days
APPLICATION FEE
0 GBP
Fees Waived OffBACKLOGS
2 backlogs accepted
POST STUDY WORK
1.5-3 Years
TUITION
24800 GBP/
PER YEAR
LIVING/ PER YEAR
15000 GBP/
PER YEAR
DURATION
1 Year
INTAKE
Sept 2027/
Deadline:01 Aug 2027
COURSE CURRICULUM
The taught stage of the MRes Biosciences programme provides students with the essential practical, analytical, and professional skills required for successful scientific research through four core modules worth a total of 60 credits. Essential Laboratory Skills develops competence in a wide range of laboratory techniques and methodologies, including aseptic procedures, sample preparation, experimental protocols, data collection, and data analysis. Students gain hands-on experience with scientific instrumentation and laboratory practices, ensuring they can generate accurate, reliable, and reproducible research data. Professional Development and Research Communication Skills focuses on enhancing written, verbal, and presentation abilities, enabling students to communicate scientific findings effectively to diverse audiences, including researchers, healthcare professionals, industry representatives, and the wider public. The module also supports professional networking and career development within scientific and research environments. Research Competency Assessment provides a structured evaluation of key research capabilities, including literature review techniques, critical appraisal of scientific evidence, experimental design, data interpretation, and scientific communication. Through constructive feedback and guidance, students identify strengths and areas for development, ensuring they are fully prepared for independent research activities. Postgraduate Research Skills introduces the fundamental principles of advanced scientific research, covering research ethics, project management, experimental planning, data management, statistical analysis, literature review methodologies, and scientific writing. Students learn how to formulate research questions, design robust investigations, analyse and interpret results, and utilise research tools and software commonly employed in bioscience research. Practical workshops and applied learning activities help students translate theoretical knowledge into research practice. Together, these modules provide a comprehensive foundation for conducting high-quality scientific research and prepare students for the substantial independent research project that forms the centrepiece of the MRes degree. The taught stage develops critical thinking, laboratory competence, problem-solving abilities, and research communication skills that are highly valued in academic, clinical, biotechnology, pharmaceutical, and industrial research settings. By combining technical expertise with professional development and research training, the programme equips students with the confidence and capability to contribute effectively to scientific discovery, innovation, and evidence-based practice across a wide range of bioscience disciplines.
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
*All students are eligible for scholarships ranging from Up to 4000, based on program and criteria.
AVG STARTING SALARY
₹47L
for MSc Data Science at University of Edinburgh
PLACEMENT RATE
91%
across top 6 programs
Top recruiting companies
Meta
JP Morgan
Amazon
Microsoft
Stripe
Atlassian
Deloitte
Expected Annual Salary
Years to Payback
1.3 YEARS
Total Tuition Fees (1 Year)
£24,800
Total Living Costs
£15,000
Total Investment
£39,800
Years to Payback
1.3 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?
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Call Us
+91 85519-85519
General Enquiries
support@edvia.ai
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