QS Rank:

165

University of Liverpool

Liverpool
,United Kingdom

Program Name
Master of Science in Big Data and High Performance Computing with a Year in Industry
Overview

The Master of Science in Big Data and High Performance Computing with a Year in Industry at the University of Liverpool is meticulously designed to equip students with the necessary skills to thrive in an increasingly data-driven world. This program, part of the esteemed School of Electrical Engineering, Electronics and Computer Science, focuses on the intricate aspects of Big Data Analytics, Applied Modelling, and Quantitative Methods. Over the span of 24 months, students will engage in a comprehensive curriculum that not only emphasizes theoretical understanding but also offers practical applications, ensuring they are well-prepared for the demands of the industry.
The program's curriculum is structured to cover essential areas of data science and high-performance computing. Core modules include topics such as Data Mining, Machine Learning, and Big Data Technologies, along with specialized electives that allow students to tailor their educational experience to their individual career aspirations. The inclusion of advanced programming languages and tools such as Python, R, and Hadoop ensures that graduates are not only familiar with current industry standards but are also adept in applying them.
Furthermore, the optional Year in Industry component is a standout feature of this program. This immersive experience offers students the chance to apply their knowledge in real-world settings, fostering invaluable industry connections and enhancing employability. By collaborating with leading companies, students gain hands-on experience, develop professional relationships, and understand the complexities of working in a business environment, all of which significantly boost their career prospects.
The faculty at the University of Liverpool brings a wealth of experience and knowledge to the program. Comprised of leading experts in the fields of data science and computing, the faculty members adopt innovative teaching methodologies that promote active learning and critical thinking. They are deeply invested in student success, often providing mentorship opportunities and engaging students in cutting-edge research. This dynamic interaction not only enriches the learning experience but also inspires students to push the boundaries of their own potential.
The University of Liverpool prides itself on its robust research infrastructure, which supports students in pursuing their academic interests. Students have access to state-of-the-art laboratories, extensive library resources, and collaborative projects that stimulate intellectual growth. Engaging in research not only deepens understanding but also establishes a foundation for future academic or professional pursuits. Opportunities for presenting research findings at conferences or contributing to publications further enhance the academic profile of graduates.
In addition to academic excellence, the University of Liverpool maintains strong ties with industry leaders, providing students with unique opportunities for internships and placements. These connections ensure a steady pipeline of job opportunities following graduation, with many students receiving job offers from organizations within the first few months of completing their degree. The average base salary for graduates in related fields is approximately £40,000, reflecting the high demand for skilled professionals in the data domain.
Alumni of the program have gone on to achieve remarkable success in their respective fields. Many have secured prestigious positions as Data Scientists, Big Data Engineers, and Software Engineers in leading technology firms and research institutions worldwide. Testimonials from former students highlight the program's impact on their careers, emphasizing how the knowledge gained and experiences shared with faculty and peers have shaped them into competent professionals ready to tackle the challenges of the modern workplace.
The University of Liverpool fosters an inclusive and diverse environment, with a significant percentage of its student body representing international backgrounds. This multicultural setting enriches the educational experience, promoting the exchange of ideas and perspectives that are essential in today’s globalized economy. The program not only prepares students academically but also culturally, equipping them with the skills to work effectively in diverse teams.
Why Study Big Data and High Performance Computing with a Year in Industry at University of Liverpool
- A globally recognized program offered by a university ranked in the top tier for research and teaching excellence.
- The unique Year in Industry experience that provides practical work exposure and a competitive edge in the job market.
- Expert faculty members who are leaders in their fields, offering mentorship and guidance throughout the program.
- Access to cutting-edge facilities and laboratories to enhance practical learning and research opportunities.
- Strong industry connections leading to excellent placement rates and high starting salaries for graduates.
- A vibrant student community with a rich array of cultural and extracurricular activities enhancing the overall student experience.

Duration
24 Months

Median Salary
$35,000
Ranking
#155
US World and News Report
#178
The World University Rankings
#165
QS World University Rankings
Class Profile

Class Size
25

Average Age
25

Average Work Experience
1 Years
Diversity
North West England:
45%Europe:
15%Asia:
5%Others:
5%North America:
10%Others:
25%International:
20%Career Outcomes

Median Earnings After Graduation
$35,000 / year
Prospective Job Roles
Research Scientist
Software Engineer
Database Administrator
Data Analyst
Data Scientist
Business Analyst
Big Data Engineer
IT Consultant
Cloud Engineer
Machine Learning Engineer
Top recruiters










Eligibility Criteria
English Proficiency Tests
TOEFL
88
IELTS
6.5
PTE
61
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.
Transcript
Personal Statement
Academic LOR
Resume
Application Deadlines
Fees and Funding

Tuition Fees
$15,825 / year
Funding Options
External Sources - Scholarships
Department Funding
Scholarships
FAQs
A student can complete Big Data and High Performance Computing with a Year in Industry at University of Liverpool with in 24.
The annual tuition fee to pursue Big Data and High Performance Computing with a Year in Industry at University of Liverpool is GBP 15825.
The submission of these scores mainly depends on the type of degree/ course selected at the University of Liverpool. 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 Liverpool requirements before submitting a score.
Big Data and High Performance Computing with a Year in Industry 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 Liverpool, they can easily pursue Big Data and High Performance Computing with a Year in Industry. 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 Liverpool 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 Liverpool website to check the course/ degree duration.
One can apply for scholarships to pursue their international education at University of Liverpool 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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