BA Hons Accounting and Finance
The BA (Hons) Accounting and Finance program at the University of Liverpool provides a ...
MSc Big Data and High Performance Computing
Liverpool
INTAKE: September
Program Overview
This MSc program provides an in-depth understanding of big data analytics and processing using high-performance computing (HPC) technology. It aims to prepare students for the growing demand in industries that require expertise in managing and analyzing large datasets efficiently.
Curriculum: The curriculum covers key areas such as data mining, visualization techniques, and programming for multi-core and multi-processor platforms. Students gain hands-on experience with the latest HPC technologies, enabling them to develop IT solutions to big data problems.
Research Focus: Students engage in research projects that tackle real-world big data challenges, fostering the development of innovative solutions. The program emphasizes the practical application of theoretical knowledge, preparing students for both academic and industry research roles.
Industry Engagement: The program includes opportunities for industrial placements, allowing students to apply their skills in real-world settings and build professional networks. This experience enhances employability and provides insights into industry practices.
Global Perspective: With a diverse student body and faculty, the program offers a global perspective on big data and HPC challenges. Collaborations with international partners and exposure to global case studies prepare students to work in various cultural and professional contexts.
Location
Liverpool
Score
IELTS 6.5
Tuition Fee
£ 28800
Postgraduate Entry Requirements:
- Applicants should have successfully completed a bachelor's degree or its equivalent from a recognized institution with a minimum overall score of 60% or equivalent.
- English language proficiency is required, and applicants must provide evidence of their English language skills through an approved language test.
- IELTS: A minimum overall score of 6.5 with no individual component below 6.0.
- TOEFL: A minimum overall score of 88, with at least 21 in Listening, Reading, Speaking, and Writing.
- PTE Academic: A minimum overall score of 62 with no individual score below 51.
- Some postgraduate programs may have specific subject prerequisites or additional requirements.
Students must provide:
- academic marksheets & transcripts
- letters of recommendation
- a personal statement - SOP
- passport
- other supporting documents as required by the university.
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions
The University of Liverpool offers a range of scholarships to support students in their academic pursuits and help make higher education more accessible. These scholarships are awarded based on various criteria, including academic merit, financial need, and specific eligibility requirements.
Vice-Chancellor's International Attainment Scholarship: This scholarship is designed for international undergraduate and postgraduate taught students who demonstrate exceptional academic achievement. The Vice-Chancellor's International Attainment Scholarship provides a reduction in tuition fees for the duration of the program.
Sports Scholarships: The University of Liverpool offers sports scholarships to talented athletes who have achieved a high level of sporting excellence. These scholarships provide financial support, access to training facilities, specialized coaching, and other resources to help athletes balance their academic and sporting commitments.
International Scholarships for Research Excellence (ISRE): The ISRE scholarships are awarded to international students undertaking a Ph.D. or MPhil research program at the University of Liverpool. These scholarships provide financial support, covering full tuition fees and a stipend to support living expenses.
Subject-specific Scholarships: Various academic departments at the University of Liverpool offer subject-specific scholarships to outstanding students in particular fields. These scholarships aim to recognize academic excellence and support students in their chosen disciplines. Examples include scholarships for Engineering, Business, Medicine, and Social Sciences.
Merit Scholarships: The University of Liverpool offers merit scholarships to high-achieving undergraduate students who demonstrate exceptional academic performance. These scholarships are awarded based on academic merit and provide a reduction in tuition fees for each year of study.
Widening Participation Scholarships: The Widening Participation Scholarships are designed to support students from underrepresented backgrounds who may face barriers to accessing higher education. These scholarships aim to promote social mobility and provide financial assistance to eligible students.
It's important to note that scholarship availability, eligibility criteria, and application deadlines may vary.
Graduates of the MSc Big Data and High Performance Computing program are equipped with a unique blend of technical skills and data expertise, opening doors to a variety of exciting career opportunities in the realm of data analytics, cloud computing, and high-performance computing.
Data Scientist: Graduates can work as data scientists, analyzing and interpreting large datasets to derive valuable insights and drive informed decision-making.
Big Data Engineer: Graduates can specialize in designing and managing big data infrastructure, ensuring the efficient storage, processing, and retrieval of massive datasets.
Cloud Computing Specialist: With expertise in high-performance computing and cloud technologies, graduates can excel in roles involving cloud architecture and management.
Machine Learning Engineer: Graduates can work on developing and implementing machine learning algorithms, enabling computers to learn from and make predictions based on data.
Research Scientist: Graduates can pursue research positions, contributing to advancements in big data technologies, high-performance computing, and data-driven innovation.
