MSc Big Data and High Performance Computing with a Year in Industry

Liverpool

 

INTAKE: September

Program Overview

The MSc Big Data and High Performance Computing with a Year in Industry program at the University of Liverpool exemplifies the forefront of modern education. Designed to address the complexities of data-driven technologies, this program not only empowers students with advanced skills and insights in managing and analyzing big data but also provides a unique opportunity to gain industry experience during a year-long placement.

  1. Comprehensive Curriculum: The program's curriculum is at the cutting edge of technological innovation, encompassing data science, machine learning, cloud computing, and high-performance computing architectures.

  2. Industrial Placement: A standout feature is the year-long industry placement. Students have the opportunity to work in real-world settings, applying their skills to solve practical problems and gaining valuable industry experience.

  3. Hands-on Learning: The program emphasizes hands-on projects and practical application, allowing students to work with actual data sets and utilize high-performance computing clusters for real-world problem-solving.

  4. Advanced Facilities: The University of Liverpool provides access to state-of-the-art computing facilities, tools, and software, enabling students to work with large datasets and develop sophisticated algorithms.

  5. 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 mentorship offers insights into the latest advancements and industry trends.

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 with a Year in Industry are well-equipped for dynamic and impactful careers in the realm of data analytics, cloud computing, and high-performance computing. The added industry experience further enhances their marketability. 

  1. Data Scientist: Graduates can work as data scientists, leveraging their expertise to analyze complex datasets and derive actionable insights.

  2. Cloud Solutions Architect: With a strong foundation in cloud computing, graduates can design and implement cloud solutions for businesses and organizations.

  3. Big Data Engineer: Graduates can specialize in developing and maintaining big data infrastructure for efficient data storage and processing.

  4. Machine Learning Specialist: Graduates can focus on developing machine learning algorithms for predictive analytics and decision-making.

  5. Research and Development: Graduates can pursue roles in research and development, contributing to advancements in data science, cloud computing, and high-performance computing.


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