QS Rank:

16

University of Edinburgh

Edinburgh
,United Kingdom

Program Name
MPhys in Computational Physics
Overview

The MPhys in Computational Physics at the University of Edinburgh is designed for students seeking to deepen their understanding of computational techniques applied to physical systems. This master's program is structured to not only provide theoretical knowledge but also to emphasize practical applications through hands-on experiences. Students will explore various aspects of computational science, including advanced modeling, simulation techniques, and data analysis, equipping them with the necessary skills to tackle complex scientific problems.
The curriculum is meticulously designed to cover a range of topics, including but not limited to numerical methods, statistical mechanics, quantum mechanics, and machine learning applied to physics. Specific courses within the program include "Computational Methods in Physics," "Quantum Computing," and "Machine Learning for Physicists." Each course enables students to apply their theoretical knowledge in real-world scenarios, enhancing their understanding and preparing them for future challenges in the field.
The faculty at the College of Science and Engineering is comprised of leading experts in the field of computational physics. With diverse academic backgrounds and extensive research experience, these professionals not only impart theoretical knowledge but also provide mentorship and guidance through innovative teaching methodologies. The faculty emphasizes an interactive learning environment that encourages critical thinking, collaboration, and creativity among students.
Research opportunities abound at the University of Edinburgh, where students can engage in cutting-edge projects alongside faculty. The university boasts state-of-the-art laboratories and resources that facilitate experimental work and computational simulations. Students are encouraged to participate in research that contributes to significant advancements in various scientific domains, enhancing their resume and skill set. The university also fosters collaborations with industry partners, offering students valuable opportunities for internships and practical experience.
Graduates of the MPhys in Computational Physics can look forward to numerous career pathways. The demand for professionals skilled in computational techniques is on the rise, with prospective job roles such as Statistician, Research Scientist, Software Engineer, Data Analyst, Quantitative Analyst, Data Scientist, Engineering Physicist, Computational Scientist, Applied Physicist, and Machine Learning Engineer. The university's strong connections with industry leaders ensure that students have access to relevant internships and job placements, which significantly increase their employability post-graduation.
The average base salary for graduates in this field is around £44,000, underscoring the value of a degree from a prestigious institution like the University of Edinburgh. Alumni of the program have made notable contributions to various sectors, with many securing positions in top tech companies, research institutions, and academic settings. Their success stories stand as a testament to the quality of education provided at the University of Edinburgh and the rigorous training received throughout the program.
In addition to comprehensive academic training, the MPhys in Computational Physics offers unique features that distinguish it from other programs. The integration of modern computational tools and techniques into the coursework prepares students for the evolving landscape of science and technology. Moreover, the program emphasizes interdisciplinary collaboration, allowing students to work with peers from various scientific domains, fostering a well-rounded educational experience.
Admission to the MPhys in Computational Physics requires a strong academic background in physics or a related field, along with proficiency in English. Candidates must submit a transcript, an academic letter of recommendation, and a resume as part of the application process. Standardized test scores, such as the GRE, may not be required, but it is advisable to check for specific prerequisites. Additionally, applicants must demonstrate proficiency in English through recognized tests such as IELTS, TOEFL, or PTE.
Why Study Computational Physics at University of Edinburgh
- A popular choice for international students with a diverse community, enhancing cultural exchange and collaboration.
- Learn from the best faculty members and become their research assistants, gaining valuable insights and mentorship.
- High-end laboratories and facilities to facilitate advanced research work, offering students a competitive edge.
- Excellent placement programs after course completion, with strong ties to leading industries and research institutions.
- Interdisciplinary approach that fosters collaboration across different scientific fields, enhancing learning outcomes.
- Emphasis on practical experience through internships and research projects that prepare students for the workforce.

Duration
60 Months

Median Salary
$42,000
Ranking
#16
QS World University Rankings
Class Profile

Class Size
20

Average Age
22

Average Work Experience
0 Years
Diversity
North America:
5%Africa:
2%Others:
6%UK:
60%Asia:
10%South America:
2%EU:
15%Career Outcomes

Median Earnings After Graduation
$42,000 / year
Prospective Job Roles
Statistician
Research Scientist
Software Engineer
Data Analyst
Quantitative Analyst
Data Scientist
Engineering Physicist
Computational Scientist
Applied Physicist
Machine Learning Engineer
Top recruiters










Eligibility Criteria
English Proficiency Tests
PTE
62
TOEFL
92
IELTS
6.5
Application Requirements
Here's everything you need to know to ensure a complete and competitive application—covering the key documents and criteria for a successful submission.
Transcript
Academic LOR
Resume
Application Deadlines
Fees and Funding

Tuition Fees
$30,400 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
Edinburgh Global Excellence Scholarship
Edinburgh International Scholarship
Edinburgh College of Science Scholarship
FAQs
A student can complete Computational Physics at University of Edinburgh with in 60.
The deadline to submit an admission application for Computational Physics at University of Edinburgh is Application deadline Term 2 () - date - 30/06/2023
The application fee to pursue Computational Physics at University of Edinburgh is GBP 22 for international students.
The annual tuition fee to pursue Computational Physics at University of Edinburgh is GBP 30400.
The submission of these scores mainly depends on the type of degree/ course selected at the University of Edinburgh. For example, the GMAT test is required to take admission to an abroad graduate management program, the LSAT is required during an abroad Law School admission process, and more. Therefore, check University of Edinburgh requirements before submitting a score.
Computational Physics can help Indian/ international students gain: 1. Quality and Practical Education 2. Global Recognition 3. International Exposure 4. Amazing Job Opportunities 5. Experience of Lifetime and more
If a student fulfils all the eligibility criteria and admission requirements of University of Edinburgh, they can easily pursue Computational Physics. The basic eligibility criteria include the following: 1. A GPA above 3 2. Well-written Statement of Purpose 3. An impressive Letter of Recommendation 4. A Work Experience Certificate (if required) 5. A Statement of Financial Proof 6. Academic Transcripts 7. Valid Visa, etc.
An MS degree at University of Edinburgh can usually be completed in 2 years. However, many universities offer a 1-year master’s specialisation as well. You can explore the official University of Edinburgh website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at University of Edinburgh by: 1. Looking for country-specific scholarships by contacting the specific scholarship institutions. 2. Applying to or finding out if any subject-specific scholarships are available from the university website/ department.
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