MSc Big Data and High Performance Computing

Liverpool

 

INTAKE: September

Program Overview

The MSc Big Data and High Performance Computing program at the University of Liverpool epitomizes the forefront of modern education. Designed to address the complexities of data-driven technologies, this program empowers students with advanced skills and insights in managing, analyzing, and utilizing big data, coupled with the power of high-performance computing.

  1. Cutting-edge Curriculum: The program's curriculum is at the cutting edge of technological innovation, covering a wide spectrum of subjects including data science, machine learning, cloud computing, and high-performance computing architectures.

  2. Practical Application: A standout feature is the emphasis on practical application. Students engage in hands-on projects, working with real-world data sets and utilizing high-performance computing clusters to solve complex problems.

  3. Advanced Tools and Resources: The University of Liverpool provides access to state-of-the-art computing facilities, software, and tools, enabling students to analyze large datasets and develop sophisticated algorithms.

  4. Expert Faculty: The program is led by experienced faculty members who are active researchers in the fields of big data and high-performance computing. Their guidance provides students with insights into the latest advancements and industry trends.

  5. Collaborative Environment: The program encourages collaboration and interdisciplinary interaction, reflecting the real-world scenarios where big data and high-performance computing converge.

Pollster Education

Location

Liverpool

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

£ 26350

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. 

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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. 

  1. Data Scientist: Graduates can work as data scientists, analyzing and interpreting large datasets to derive valuable insights and drive informed decision-making.

  2. Big Data Engineer: Graduates can specialize in designing and managing big data infrastructure, ensuring the efficient storage, processing, and retrieval of massive datasets.

  3. Cloud Computing Specialist: With expertise in high-performance computing and cloud technologies, graduates can excel in roles involving cloud architecture and management.

  4. Machine Learning Engineer: Graduates can work on developing and implementing machine learning algorithms, enabling computers to learn from and make predictions based on data.

  5. Research Scientist: Graduates can pursue research positions, contributing to advancements in big data technologies, high-performance computing, and data-driven innovation.


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