Eligibility Requirements for University of Cambridge MSc in Data Science
No lower GPA
Bachelor's GPA Requirement
About University of Cambridge
The esteemed University of Cambridge, instituted in 1209, dwells in the heart of Cambridge, England and enjoys a laudable global reputation. It epitomizes a cornucopia of cultures, exemplified in its eclectic blend of over 20,000 students hailing from 140 diverse countries.
The dimensions of the university spread out to encompass 31 distinct colleges, six comprehensive schools, and an impressive number of faculties and departments surpassing 150 in total. These educational platforms offer a vast spectrum of academic disciplines and honed research areas.
Cambridge conspicuously stands with a noble mission - through the avenues of education, learning, and research, it aspires to contribute to global society at a paragon level of excellence that's internationally acknowledged. Not in vain, Cambridge boasts a rich lineage of landmark discoveries and incremental innovations, making it a trailblazer in academia.
The University holds a fervent commitment towards global collaboration and diligently collaborates with partners at both the local and international levels to fulfil its pedagogical and research pursuits.
University of Cambridge MSc in Data Science Program Description
The School's interdisciplinary curriculum uniquely interweaves data science, scientific research, and practical industry applications with the fundamental principles of open science. This broad, holistic approach equips students with the multifaceted skills necessary for addressing complex real-world problems. This dynamic skill set is adaptable to an array of career trajectories in both the academia and the corporate world.
Our faculty, comprised of distinguished scholars, amalgamate expertise from diverse disciplines. As a result, our students receive a rounded foundation and are exposed to the vanguard of research methodologies. Coupled with access to top-of-the-line facilities and robust resources, students delve into immersive, hands-on learning experiences. This fosters an environment spotlighting innovation, collaboration, and camaraderie within a buzzing academic enclave.
Our intentionally small class sizes facilitate personalized mentorship, enabling students to explore their areas of interest in depth and cultivate specialized skills. Collaborative initiatives and internships with industry partners provide students with the opportunity to gain practical experience and forge invaluable professional connections. This experience enhances their marketability and gives them a competitive advantage after graduation.
The School’s unwavering commitment to the tenets of open science fosters transparency, guarantees reproducibility, and demands ethical research practices. This culture of integrity and accountability is deeply ingrained in both students and faculty. This approach doesn't just empower graduates to be adept practitioners in their fields, but urges them to march forward as ethical trailblazers.
Program URL:https://www.postgraduate.study.cam.ac.uk/courses/directory/pcphmpdis
University of Cambridge MSc in Data Science Program Curriculum
Program Curriculum URL:https://www.postgraduate.study.cam.ac.uk/courses/directory/pcphmpdis
- Application of Data Science Techniques to Specific Scientific Research Problems
Electives
- Application of Data Science Techniques to Specific Scientific Research Problems
Core Courses
- Statistical Data Analysis
- Machine Learning and AI
- Research Computing
- High-Performance Computing
- Software Development
University of Cambridge MSc in Data Science Acceptance Rate
The University of Cambridge's notorious selectivity, with an acceptance rate fluctuating around 18% to 21%, signifies its relentless pursuit to admit the best of the best. With a vast selection of over 30 undergraduate and 300 postgraduate courses, offering qualifications inclusive of M.Phil, MBA, LLM, and Masters in Finance, the quintessential institution readily magnetizes first-rate scholars from across the globe.
Admission protocols pivot on the course in question, but applicants are universally reviewed against academic merit, standardized test laurels, and other pertinent criteria. Its high standards notwithstanding, Cambridge undeniably remains an eminent beacon for students hungering for unparalleled academic rigor complemented by the prestige of a storied educational legacy.
University of Cambridge MSc in Data Science Fee Structure
The table presented here delineates the financial obligation of students for their tenure in the MPhil in Data Intensive Science program at the University of Cambridge. It systematically breaks down the costs into three categories: the University Composition Fee, Maintenance expenditures, and the Total Annual Commitment.
Component | Cost |
---|---|
University Composition Fee | £13,554 per year |
Maintenance | £15,521 per year |
Total Annual Commitment | £29,075 per year |
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University of Cambridge MSc in Data Science Employment
The University of Cambridge provides a master's program in Data Science—a highly coveted qualification in the world of data manipulation. Individuals who complete this program gain access to a broad spectrum of job possibilities. Typical positions held by graduates of the MSc in Data Science include Data Scientist, Machine Learning Engineer, Big Data Engineer, Data Analyst, and Business Intelligence Analyst.
These titles span across various sectors such as finance, healthcare, technology, and consulting. A swift expansion is currently being witnessed in the job market for data science professionals, underscoring a significant skills gap within the field. Employers underscore the implications of data science. With the potential to overhaul numerous industries, it paves the path for job opportunities for data analysts, machine learning professionals, and data specialists.
67,254
Average Starting Salary
University of Cambridge MSc in Data Science Employment Statistics
Compared to other prestigious institutions like the University of Oxford, students who acquire an MSc in Data Science from the University of Cambridge enjoy an elevated employment rate. A myriad of industries, such as finance, health, e-commerce, and technology, continually seek data scientists. Whether in large corporations, consultancy firms, or ambitious start-ups, data scientists are relied upon for their remarkable analytical and quantitative capabilities, as well as their aptitude for effective communication, teamwork, and project management.
Upon completion of an MSc in Data Science in the UK, one can anticipate a lucrative career. Entry-level roles typically yield an annual income of approximately £40,000 to £60,000, a figure that can considerably increase for senior data scientists. A variety of opportunities await Data Science graduates, ranging from roles as Data Engineers to Quantitative Analysts/Developers. The finance sector, in particular, offers a plethora of such positions, each accompanied by a competitive salary.
Companies Recruiting University of Cambridge MSc in Data Science Graduates
The University of Cambridge's MSc in Data Science program attracts recruiters from various sectors, offering diverse opportunities for graduates. Some of the top recruiters for MSc Data Science jobs in the UK include:
- Amazon
- Deloitte
- KPMG
- British Telecom (BT)
- Barclays
- J.P. Morgan
- Tesco
Employment Overview URL: https://www.cambridgespark.com/msc-data-science
University of Cambridge MSc in Data Science Scholarships available for International Students
International students who are contemplating undergraduate studies at the University of Cambridge have several options available to them for financial support. These provisions encompass awards from the Cambridge Commonwealth, European and International Trust solutions, partial scholarships bestowed by the Colleges, along with country-specific scholarships.
While full undergraduate scholarships are admittedly uncommon, the aforementioned opportunities may serve to ameliorate some of the financial strain. Moreover, the International Disabled Students' Fund provides assistance tailored to meet the academic-related costs borne by disabled students.
What makes University of Cambridge MSc in Data Science unique?
The University of Cambridge shines brightly as an institution steeped firmly in centuries-old traditions of scholarly excellence, pioneering research, and substantive global influence. Its unique collegiate system cultivates an intimate community and a personalized learning environment tailored for every learner.
As a powerhouse of groundbreaking discoveries spanning countless disciplines, Cambridge naturally draws in top-tier scholars and students from globally diverse backgrounds. This melding of a rich past with cutting-edge facilities and forward-thinking pedagogical approaches creates a vibrant and dynamic intellectual nerve center.
Moreover, Cambridge's strong commitment to interdisciplinary collaboration stands testament to its tireless mission of pushing the boundaries of human knowledge, thus ensuring its continued significance and influential outreach on the global educational stage.
The harmonious blending of profound heritage, visionary innovation, and an ethos of inclusivity merges into a genuine singularity that places Cambridge at the leading edge of higher education institutions. Thus, Cambridge's distinctive assemblage of tradition and innovation sets it apart as a truly unparalleled institution at the forefront of today's competitive academic landscape.
Conclusion: Should you apply to University of Cambridge MSc in Data Science?
Applying for the University of Cambridge's MSc program in Data Science constitutes a significant step that demands a careful analysis of your academic aspirations and career objectives. This program, known for its exacting curriculum that includes foundational subjects such as statistical data analysis, machine learning, artificial intelligence, and research computing, is aimed at endowing students with indispensable abilities for top-tier scientific data investigation.
Moreover, this program's unique feature of offering elective modules emphasises the application of data science practices to distinct scientific research issues, facilitating a more customised learning path. The program also includes an elaborate data analysis project, wherein key scientific analyses' reproducibility is explored, thereby providing a direct research experience under the aegis of seasoned supervisors.
Advantageously, the program also comprises non-assessed components, such as communication workshops and seminars. This feature broadens students' intellectual horizon and fosters their professional growth. Thus, if you are in pursuit of an exhaustive, modern education in data science from a global academic powerhouse, the MSc program in Data Science at the University of Cambridge provides an unmatched prospect for you to thrive in this ever-evolving domain.
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