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Course Code
Zone
Attendence
Full time

Course Summary

The programme will produce students with increased systematic understanding and critical awareness of key emerging therapeutic technologies, increasing the provision in identified skills needs. The overall teaching and learning strategy for the programme is designed to be flexible, accessible and responsive so that students can access quality, evidence-based learning and professional development.

College Link

College Link > - Technologies & Analytics in Precision Medicine

Colleges often have information about the course on their own website, along with other useful information relating to the college. (Note: Not always available)

Career Sectors

This course prepares you for working in the Career Sectors below. Follow the links to get a fuller understanding of the sectors you are preparing for.

Entry Requirements

Applicants should have successfully completed an undergraduate healthcare (pharmacy or medicine) degree or a primary degree programme (minimum of a 2.1 honours or equivalent) in a biological, chemical or mathematical science (including computer science). In addition, candidates who hold a primary degree, with a second-class grade (H2.2) in a biological, chemical or mathematical science (including computer science) and with industrial experience will be considered.

If English is not the applicant’s native language, an English language qualification is required. English language qualifications include a minimum overall score of 6.5 in the International English Language Testing System (IELTS), as per RCSI requirements. More information about English language requirements for postgraduate study at RCSI.

Students who successfully secure a place on the programme can apply for a student visa. RCSI can provide a visa letter to support an application for a student visa.

Please note:
- Students must liaise with immigration services independently to secure their own visa and ensure they undertake in a timely manner to have their visa secured for commencement of the programme in September 2022.

- Candidates can be in full-time employment while completing the one-year full-time or the two-year part-time programme as part of the flexible and blended learning approach.

Application Details

How to apply
Applications for the academic year 2023/24 intake are now open.

Please note: Late applications will continue to be accepted until the start of the programme and are subject to availability of places.

For any queries, please email [email protected].

Apply Here

Fees

How to apply
Applications for the academic year 2023/24 intake are now open.

Please note: Late applications will continue to be accepted until the start of the programme and are subject to availability of places.

For any queries, please email [email protected].

The Student

Career Interests

This course is typically suited for people with the following Career Interests. If these interests do not describe you, this course may prepare you for work you may not find satisfying.

Investigative

The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.

Career Progression

Your future
The MSc in Technologies and Analytics in Precision Medicine at RCSI is a unique educational offering, filling an essential and emerging skills gap in the life sciences sector in the area of future transformative therapeutic technologies.

Graduates are in a position to apply for roles such as, but not limited to, computational biologists, data scientists/analysts, bioinformatician/bioinformatics scientist across the bio-pharmaceutical industry. In addition, this course will further enhance the student's academic profile and therefore make them highly competitive for PhD applications across both national and international research/universities.

Furthermore, interested graduates can apply for PhD positions in the areas of precision medicine, data analytics, machine learning and connected healthcare.

Duration

1 Year Full Time
2 Years Part Time

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