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QS Rank:

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5

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University of Cambridge

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Cambridgeshire

United Kingdom

The MPhil in Scientific Computing at the University of Cambridge is a rigorous program designed for those seeking a comprehensive understanding of Product Innovation and Computing. This master's degree stands out in its field, offering students a unique blend of theoretical knowledge and practical skills that are essential for success in today’s fast-paced technology landscape. With a focus on both scientific principles and computational techniques, this program prepares graduates for a myriad of roles in industries ranging from software development to data science.

The curriculum provides an expansive insight into key areas such as computational mathematics, algorithm design, and software engineering, ensuring students are well-equipped to tackle complex problems. Core courses include Numerical Analysis, Data Structures and Algorithms, and Machine Learning, all taught by distinguished faculty members. The program also emphasizes hands-on learning experiences through laboratory work and collaborative projects, allowing students to apply their knowledge in real-world scenarios.

One of the hallmarks of the MPhil in Scientific Computing is its robust emphasis on research. Students have the opportunity to engage in cutting-edge research projects, often in collaboration with industry leaders. The program encourages innovation and creativity, pushing students to explore new frontiers in technology and scientific research. Access to state-of-the-art research facilities and resources further enriches the learning experience, making it a haven for aspiring researchers.

The faculty at the University of Cambridge comprises seasoned experts in various fields of scientific computing. Their diverse backgrounds and research interests provide students with a well-rounded educational experience. Faculty members employ a blend of traditional lectures, interactive seminars, and hands-on workshops to foster an engaging learning environment. This diverse teaching methodology ensures that students not only learn theoretical concepts but also develop practical skills that are in high demand in the job market.

Graduates of the MPhil in Scientific Computing are well-prepared for a wide range of career pathways. Prospective job roles include Software Engineer, Data Scientist, Machine Learning Engineer, and Research Scientist, among others. The university's strong ties with industry giants and its robust alumni network provide students with ample networking opportunities, internships, and job placements post-graduation. Furthermore, the average base salary for graduates in this field is approximately £70,000, underscoring the program's high return on investment.

The MPhil program is further distinguished by its diverse international student community, which enriches the academic environment and promotes global perspectives. With a student international diversity rate of 40.9%, students are exposed to various cultures and ideas, fostering collaboration and innovation. Alumni have reported remarkable success stories, with many securing positions at leading tech firms and research institutions shortly after graduation.

Why Study MPhil in Scientific Computing at University of Cambridge

  • A globally recognized program that consistently ranks among the top in the world.
  • Access to cutting-edge research facilities and technology that facilitate innovative learning.
  • A curriculum designed with input from industry leaders to ensure job-readiness upon graduation.
  • Opportunities for internships and collaborations with leading companies in the tech sector.
  • A vibrant alumni network that provides connections and mentorship for new graduates.

The admission requirements for the MPhil in Scientific Computing are designed to ensure that candidates are well-prepared for the rigors of the program. Applicants must provide a detailed academic transcript, a strong academic letter of recommendation, and a comprehensive resume highlighting relevant experience and achievements. Additionally, proficiency in English is mandatory, with requirements set at a minimum score of 100 on the TOEFL or 7.0 on the IELTS.

There are no standardized test score requirements, allowing a wider range of candidates to apply. The program welcomes applicants from diverse academic backgrounds, especially those with degrees in mathematics, computer science, engineering, or related fields.

The MPhil in Scientific Computing at the University of Cambridge is not just about obtaining a degree; it's about cultivating a mindset of inquiry, innovation, and excellence. The combination of a rigorous curriculum, exceptional faculty, and strong industry connections makes this program a top choice for aspiring scientists and engineers. With an average class size of only 15, students receive individualized attention and mentorship throughout their studies, ensuring an enriching educational experience that lasts a lifetime.

In conclusion, the MPhil in Scientific Computing offers a transformative educational journey that equips students with the skills and knowledge needed to excel in today's technology-driven world. Graduates emerge as leaders in their fields, ready to tackle complex challenges and contribute to advancements in scientific computing and beyond.

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Duration

12 Months

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Median Salary

$65,000

Ranking

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#5

The World University Rankings

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#5

QS World University Rankings

Class Profile

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Class Size

15

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Average Age

25

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Average Work Experience

2 Years

Diversity

Africa:

1%

UK:

67%

Asia:

5%

Others:

5%

Oceania:

2%

Europe:

13%

North America:

7%

Career Outcomes

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Median Earnings After Graduation

$65,000 / year

Prospective Job Roles

Statistician

Research Scientist

Software Engineer

Machine Learning Engineer

IT Security Specialist

Software Developer

Financial Engineer

Database Administrator

Data Analyst

Network Engineer

Computer Scientist

Quantitative Analyst

Data Scientist

Business Analyst

Data Architect

IT Consultant

Systems Analyst

Operations Research Analyst

Top recruiters

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Eligibility Criteria

English Proficiency Tests

  • TOEFL

    100

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  • IELTS

    7

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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.

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    Transcript

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    Academic LOR

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    Resume

Application Deadlines

Fees and Funding

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Tuition Fees

$32,220 / year

Funding Options

External Sources - Scholarships

Department Funding

To apply, submit a complete application for admission within a few weeks of the priority deadline for best results.

Scholarships

The University of Cambridge offers a number of scholarships for students studying MPhil in Scientific Computing. These scholarships are awarded based on academic merit and financial need. The full list of scholarships can be found on the university website.
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    The Wolfson Foundation

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    The Cambridge Commonwealth Trust

FAQs

  • A student can complete Scientific Computing at University of Cambridge with in 12.
  • The application fee to pursue Scientific Computing at University of Cambridge is GBP 75 for international students.
  • The annual tuition fee to pursue Scientific Computing at University of Cambridge is GBP 32220.
  • The Scientific Computing at University of Cambridge has 2 semesters.
  • The submission of these scores mainly depends on the type of degree/ course selected at the University of Cambridge. 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 Cambridge requirements before submitting a score.
  • Scientific Computing 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 Cambridge, they can easily pursue Scientific Computing. 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 Cambridge 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 Cambridge website to check the course/ degree duration.
  • One can apply for scholarships to pursue their international education at University of Cambridge 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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