Big Data and High Performance Computing MSc

Program Overview

The MSc in Big Data and High Performance Computing at the University of Liverpool equips students with expertise in data analysis, high-performance computing, and data mining. Accredited by BCS, the program combines theoretical knowledge with practical experience to prepare graduates for careers in big data analytics, data mining, and visualization.

Program Outline

Degree Overview:

This MSc in Big Data and High Performance Computing is designed to equip students with the skills and knowledge needed to analyze large datasets and develop IT solutions for big data problems. The program is accredited by BCS, the Chartered Institute for IT, and addresses a significant skills shortage in the IT industry. The program aims to prepare students for careers in big data analytics, data mining, and visualization, using high-performance computing technology. Students will learn how to interrogate vast amounts of structured and unstructured data, make informed insights from large datasets, and develop expertise in high-performance computing.

Outline:

The program is structured as a full-time 12-month or part-time 24-month course. It is divided into three semesters:

Semester One:

• Compulsory Modules:
• Research Methods in Computer Science (COMP516): This module covers research skills, project management, presentation techniques, peer reviewing, writing skills, and the ethical framework of the IT industry.
It covers statistics, advanced AI approaches, and deterministic and hybrid algorithms for real-world problem-solving.
• Optional Modules:
• Optimisation (COMP557): This module provides an in-depth exploration of optimization methods applied to various models.

Semester Two:

• Compulsory Modules:
Students program algorithms from scratch using Python.
• MSc Group Project (COMP530): This module allows students to work in teams to develop a solution to a big data problem.
• Optional Modules:
• Algorithmic Game Theory (COMP559): This module focuses on algorithmic aspects of game theory, including mechanism design and auctions.

Final Project:

• Compulsory Module:
• MSc Project (COMP702): This module involves an individual research project with a dissertation, completed over the summer.

Assessment:

Modules are assessed through a combination of examinations and coursework. Examinations are typically written assignments completed in person at the end of each semester. Coursework includes class tests, programming assignments, and small projects. The dissertation is assessed through written reports and a presentation.

Teaching:

Teaching methods include formal lectures, small group tutorials, and practical sessions in PC and Mac laboratories. Students also participate in group projects. The program is delivered by experienced faculty members, many of whom are active researchers in the field.

Careers:

The program prepares students for a variety of roles in the IT industry, including:

• Data Analyst
• Data Scientist
• Mathematical Modeller
• Database Administrator
• Machine Learning Engineer
• Statistician
The transferable skills developed in the program also make graduates suitable for other IT roles and PhD study.

Other:

• The program is delivered in close collaboration with the Hartree Centre in Daresbury, which operates the UK's largest supercomputer.
• The Department of Computer Science is housed in a refurbished grade II listed building with state-of-the-art equipment and high-speed communication links.
• The program is continually updated to reflect new technologies and trends.

UK fees (applies to Channel Islands, Isle of Man and Republic of Ireland)

• Full-time place, per year
£12,400
• Part-time place, per year
£6,200

International fees

• Full-time place, per year
£28,800
• Part-time place, per year
£14,400 Fees stated are for the 2024-25 academic year.